Publikasi

@article{nokey,

title = {Movement Patterns and Habitat Suitability of Translocated Sumatran Tigers (Panthera tigris sumatrae)},

author = {Farhan R Pahlevi and Lilik B Prasetyo and Dolly Priatna},

doi = {https://doi.org/10.29244/jpsl.15.2.313},

issn = {2460-5824},

year  = {2025},

date = {2025-03-12},

journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan},

volume = {15},

issue = {2},

abstract = {Sumatran tigers (Panthera tigris sumatrae), critically endangered mammals native to Indonesia, play a vital role in maintaining ecosystem balance by regulating prey populations. However, habitat loss and human-wildlife conflict necessitate translocation as a conservation strategy. Translocation becomes an option when the conflict site is no longer possible as a tiger habitat, and the landscape changes from homogeneous to heterogeneous, causing changes in biodiversity that impact resource changes. Ecological studies on the aspects of space use and suitability characteristics of habitats by translocated tigers need to be conducted to improve survival. This study analyzed the home range and habitat suitability of translocated Sumatran tigers in Kerinci Seblat National Park (KSNP) using GPS collar data collected between June and September 2022. This research was conducted by developing a species distribution model using the Minimum Convex Polygon (MCP), fixed kernel (FK), and maximum entropy (Maxent) programs. The most active time used in moving by Sumatran tigers was in the morning of 06.00–08.59, MCP 492 km2, and FK 98.9 km2. The results of Maxent modelling obtained an average AUC value of 0.88, and the performance of this model was very good. The response shows how the prediction of the Sumatran Tiger's presence changes with each varying landscape value. The total edge contribution is dominant, with a proportion in this model of 35.5% and a Class area proportion of 27.5%.},

keywords = {habitat, tiger, wildlife},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Multi-sensor data utilization of unmanned aerial vehicle for wildlife monitoring in Komodo National Park},

author = {Adis Hendriatna and Lilik B Prasetyo and Mirza Dikari Kusrini and Yudi Setiawan},

doi = {https://doi.org/10.12912/27197050/200185},

year  = {2025},

date = {2025-02-01},

journal = {Ecological Engineering & Environmental Technology},

volume = {26},

issue = {3},

pages = {315-329},

abstract = {The use of unmanned aerial vehicles (UAVs) equipped with multispectral and thermal sensors provides a promising approach to wildlife monitoring, especially in the dynamic environment of Komodo National Park. This study explores the effectiveness of UAVs in tracking Komodo dragons and other wildlife using thermal imaging, which distinguishes animals based on body temperature contrasts with the surrounding environment. Thermal sensors detect wildlife more effectively in the afternoon, as animals like the Komodo dragon exhibit higher body temperatures compared to the cooler surroundings. Challenges, however, arise in the morning when animals body temperatures are closer to the environment, making them harder to detect. Factors such as fog, animal movement, and sensor limitations also impact detection accuracy. The study highlights the advantages of combining UAV thermal imaging with multispectral data to enhance monitoring accuracy. Despite the challenges, this method proves to be an efficient tool for wildlife management and conservation in remote, vast areas like Komodo National Park.},

keywords = {komodo, UAV},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {No effect of Rainforest Alliance cocoa certification on shade cover and bird species richness in Sulawesi, Indonesia},

author = {Saskia Dröge and Muhammad J M Jusrin and Bruno Verbist and Lilik B Prasetyo and Miet Maertens and Bart Muys },

doi = {https://doi.org/10.1016/j.jnc.2025.126849},

year  = {2025},

date = {2025-01-31},

journal = {Journal of Nature Conservation},

volume = {84},

number = {126849},

issue = {March 2025},

abstract = {Voluntary Sustainability Standards (VSS) and certification are promoted to enhance sustainable agricultural practices, but environmental outcomes of cocoa certification remain understudied. We selected 31 Rainforest Alliance (RA) certified and 31 non-certified cocoa plantations in Luwu Timur, Sulawesi, Indonesia, from a previous socioeconomic survey and assessed vegetation structure, soil fertility, as well as bird species richness. Using Wilcoxon Rank Sum tests, GLMMs and NMDS, we did not find certified plantations to have a higher shade tree diversity, shade tree basal area, and soil fertility. Bird species richness was significantly higher in certified plantations (p = 0.03), but the observed effect on bird species richness became statistically insignificant after controlling for elevation and plantation age in the GLMM. Current RA shade criteria are low, and potentially not sufficiently enforced, limiting RA potential to enhance biodiversity habitat. Certified farmers more frequently used improved farming techniques and received training; hence, certification might provide socioeconomic benefits to farmers while we found environmental outcomes of certification to be limited. Further research is needed to draw robust conclusions on VSS potential to enhance sustainable agriculture.

},

keywords = {agroforestry, species richness},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Simulation of Land Use and Land Cover of Peatland Bengkalis Using QGIS},

author = {Fauziah and Nur Hayati and Lilik B Prasetyo},

doi = {http://dx.doi.org/10.62527/joiv.9.1.2432},

year  = {2025},

date = {2025-01-31},

journal = {JOIV : International Journal on Informatics Visualization },

volume = {9},

issue = {1},

abstract = {The phenomenon of forest and peatland fires in Bengkalis Regency is inseparable from the change in land use and cover (LULC). The dynamic LULC in Bengkalis Regency is caused by economic factors sourced from land-based resource management. As a result, negative impacts such as environmental damage can trigger fires. Therefore, this study attempts to observe the LULC patterns on peatlands in the Bengkalis Regency using overlay techniques using QGIS. QGIS functions unlock the software's full potential, empowering you to manipulate data, automate workflows, create custom expressions, and perform advanced spatial analysis—all within a single platform. There are 12 LULC that can be identified on peatlands in Bengkalis Regency, including plantations (42.98%), primary forests (42.68%), shrubs (12.29%), residential and activity areas (0.71%), fields/farmlands (0.64%), lakes/ponds (0.43%), empty/bare land (0.18%), rivers (0.05%), and ponds, ponds, mangrove forests, and rice fields ranging from 0.004% to 0.008%. In addition, in the Bengkalis Regency, concession areas of at least 175,081.19 Ha are in the Peatland Ecosystem Protection Function (FLEG). LULC simulation provides a powerful tool for assessing the potential impact of various development plans and policies on society, the economy, and the environment, enabling more sustainable and responsible choices. A comprehensive understanding of land use and land-cover patterns is essential for further research on sustainable resource management and climate change mitigation. While LULC research has advanced significantly, several critical questions require further investigation},

keywords = {land use change},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Land-cover Dynamics and Oriental Honey-buzzard Winter Habitat Preference in Borneo, Indonesia},

author = {Utami Meirani and Lilik B Prasetyo and Yeni A Mulyani and Syartinilia Syartinilia and Horoyoshi Higuchi},

doi = {https://doi.org/10.29244/jpsl.15.1.111},

year  = {2025},

date = {2025-01-07},

urldate = {2025-01-07},

journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan},

volume = {15},

number = {2025},

issue = {1},

pages = {111},

abstract = {Migration is part of an individual's behavioral adaptation to seasonal environmental changes. Migration can take advantage of organisms facing cyclical changes in limited resources. Borneo island is one of the wintering migration destinations for Oriental Honey-buzzard in Indonesia. The confluence of deforestation, industrialization, and urbanization has placed Kalimantan at a critical juncture. Borneo Island has led to the fragmentation habitat. ARGOS is a satellite tracking tool that has been used to monitor the movements and behavior of Oriental Honey-buzzards since 2003. Three individuals were investigated in this study to determine the response to land-cover changes that occurred in Borneo in 2003, 2006, and 2009. The ecological complexity and speciesenvironment connections that support Oriental Honey-buzzard responses are highlighted in this study. The analysis of responses suggests that Oriental Honey-buzzard was more commonly encountered in forested areas in Borneo than in 11 other land-cover areas during three years 2003, 2006, and 2009. Time duration spent in forested areas consistently exhibited the longest presence duration, with durations of 136.88 hours, 1,121.17 hours, and 1,160.53 hours in 2003, 2006, and 2009, respectively. The shortest duration of presence in mangrove and swamp areas was during 2003, 2006, and 2009.},

keywords = {land cover change},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Analysis of Land Use/Land Cover Changes 2005–2020 Jagorawi Highway Corridor},

author = {Tiara P K Wardani and Lilik B Prasetyo and Yudi Setiawan},

doi = {https://doi.org/10.29244/jpsl.15.1.134},

issn = {2460-5824},

year  = {2025},

date = {2025-01-07},

journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan},

volume = {15},

issue = {1},

abstract = {Infrastructure development has both negative and positive impacts on the surrounding area. Economics growth, improved living standards, education levels, and easy access are the positive impacts of infrastructure development, meanwhile, it also has the consequences on the naturalresource use and environmental impacts from unsustainable consumption and socio-economic consequences for people around the developed areas. With the currently limited land, management needs to be addressed wisely in areas with high demand for land. Infrastructure can be a catalyst for land use change. This study aims to determine land use changes that occurred in 2005, 2010, & 2020 and analyze its driving factors. We used time series data from Landsat imagery taken from Landsat 5 TM (2005 & 2010) and Landsat 8 OLI/TIRS (2020). Visual analysis method was used to identify and classify the eight land use types per each period of Landsat image series. A simple overlay method was applied to determine the effect of the factors of distance from JT Jagorawi, from arterial collector roads, from GT Jagorawi, and from the government center; and population density. The results show that the built-up area increased from 29.72% in 2005, 32.03% in 2010 and 35.82% in 2020. The range distance that has a potential change in land cover is 4 km from JT Jagorawi & GT Jagorawi; 1 km distance from arterial and collector roads; 7.5 km distance from the government center with a population density of < 5,000 to 10,000 people km2. },

keywords = {land use change},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Advanced BLB disease assessment in paddy fields using multispectral UAV data and patch fragmentation metrics},

author = {Arif K Wijayanto and Lilik B Prasetyo and Sahid A Hudjimartsu and Chiharu Hongo},

url = {https://doi.org/10.1016/j.atech.2024.100766},

doi = {https://doi.org/10.1016/j.atech.2024.100766},

year  = {2024},

date = {2024-12-30},

urldate = {2024-12-30},

journal = {Smart Agricultural Technology},

volume = {10},

issue = {March 2025},

abstract = {This study introduces an innovative method for assessing bacterial leaf blight (BLB) in paddy fields using multispectral UAV (Unmanned Aerial Vehicle) data and patch fragmentation analysis. Unlike traditional pixel-based approaches, which often lack spatial context, our method treats pixels as objects and evaluates their spatial relationships to determine BLB severity. Seven patch fragmentation metrics were derived from binarized vegetation indices to quantify BLB damage scores, carefully selected for their ability to describe the spatial arrangement and connectivity of potentially affected patches. This metric-driven approach captures the scale and intensity of BLB damage, facilitating precise assessment. The method demonstrated high accuracy, achieving an AUC of 0.938 with a 0.5-meter sampling window. This advancement enhances the precision of BLB damage assessment, particularly for applications such as crop insurance.},

keywords = {drone, patch fragmentation, rice},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Spatial analysis of mangrove ecosystem dynamics in Banyuwangi: a geographically weighted regression approach},

author = {Yulizar I Rahmila and Lilik B Prasetyo and Cecep Kusmana and Suyadi and Mohammad Basyuni and Bono Pranoto and Rinny Rahmania and Wawan Halwany and Varenna Faubiany and Tri M Susantoro and Gatot Winarso and Lisna Efiyanti and Dian A Indrawan},

url = {https://doi.org/10.1080/21580103.2024.2438602},

doi = {https://doi.org/10.1080/21580103.2024.2438602},

year  = {2024},

date = {2024-12-20},

journal = {Forest Science and Technology},

volume = {21},

issue = {1},

pages = {38-50},

abstract = {This study examines the dynamics of mangrove land change in Banyuwangi, East Java, employing Geographically Weighted Regression (GWR) to investigate the spatial variability in the drivers of mangrove deforestation. Our analysis identifies significant anthropogenic and natural elements that influence mangrove ecosystems, with findings indicating considerable variability in mangrove growth predictions across the region, ranging from approximately 0.10 to 18.67. The mean predicted growth rate is 3.68, with local R-squared values varying from 0.003 to 0.547, highlighting the model’s differential explanatory power across diverse locales. The results underscore the complex interplay between environmental conditions and human activities, revealing that proximity to agricultural areas, urban development, and infrastructure significantly impact mangrove deforestation rates. This study advocates for implementing spatially tailored conservation strategies that accommodate local ecological dynamics and anthropogenic pressures. By enhancing our understanding of these localized influences, our research supports more effective policy-making and land management practices to sustain mangrove ecosystems, which are vital for biodiversity, coastal protection, and carbon sequestration.},

keywords = {mangrove},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Vulnerability of peatland fires in bengkalis regency during the ENSO El nino phase using a machine learning approach},

author = {Fauziah and Lilik B Prasetyo and Nonon Saribanon and Nur Hayati},

doi = {https://doi.org/10.1016/j.mex.2024.103128},

year  = {2024},

date = {2024-12-20},

journal = {MethodsX},

volume = {14},

issue = {June 2025},

abstract = {Peatland fires are increasingly becoming a concern as a recurring environmental issue in Indonesia, particularly along the east coast of Sumatra Island, in Bengkalis Regency. Therefore, the development of a peatland fire prediction model is necessary. This study aims to identify peatland fire vulnerability in Bengkalis Regency using burn area from MODIS 2019. The algorithm used are Random Forest (RF) and Logistic Regression (Log-Reg), with independent variables including physiography, peat physical characteristics, anthropogenic factors, climate, and NDMI. The total burned area in Bengkalis Regency in 2019 was 175.85 km², with Rupat District being the area with the largest burned area. The best model is RF that was able to predict peatland fires in Bengkalis Regency effectively, with achieving an AUC value of 0.972. The five main factors influencing peatland fires were road density, precipitation, drainage density, NDMI, and river density. The accuracy of RF reached 95.07%. The classification results indicated three levels of peatland fire vulnerability in Bengkalis Regency

• Non-Vulnerable: Areas classified as non-vulnerable are regions where the risk of peatland fires is minimal or non-existent.

• Low Vulnerability: These areas have a moderate risk of peatland fires.

• High Vulnerability: Areas with high vulnerability are the most susceptible to peatland fires.},

keywords = {ENSO, peatland},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {From chocolate to palm oil: The future of Indonesia’s cocoa plantations},

author = {Saskia Dröge and Janne Bemelmans and Charline Depoorter and Muhammad J M Jusrin and Axel Marx and Brono Verbist and Lilik B Prasetyo and Miet Maertens and Bart Muys},

doi = {https://doi.org/10.1007/s13280-024-02061-0},

year  = {2024},

date = {2024-08-02},

journal = {Ambio},

volume = {54},

pages = {151-161},

abstract = {Indonesia is the world’s third largest cocoa producer, but production is decreasing since 2011. We revisited cocoa farmers for an environmental assessment in Luwu Timur, Sulawesi, 7 months after a socio-economic survey on cocoa certification outcomes and observed many cocoa plantations being converted into oil palm and maize. Including our field data as well as secondary data on commodity prices and yields, we outline reasons for cocoa conversion, potential consequences for biodiversity, and assess the future outlook for the Indonesian cocoa sector. Low cocoa productivity, volatile cocoa prices and higher revenue for oil palm, among others, drive land-use change. If shade trees are cut during cocoa conversion, it may have negative implications for biodiversity. Solutions to low soil fertility, omnipresent pests and diseases, and stable producer prices are needed to increase profitability of cocoa and prevent conversion of cocoa agroforests to oil palm monocultures.},

keywords = {agroforestry},

pubstate = {published},

tppubtype = {article}

}

@article{Andryan_Junaedi_Purwono_Prasetyo_IzzawatiNurrahma_2024,

title = {Optimizing cultivation system and pest management in different types of rice varieties},

author = {Ricky Andryan and Ahmad Junaedi and Purwono and Lilik B Prasetyo and Arinal H I Nurrahma},

url = {https://journal.ipb.ac.id/index.php/jurnalagronomi/article/view/54078},

doi = {https://10.24831/jai.v52i2.54078},

year  = {2024},

date = {2024-08-01},

urldate = {2024-08-01},

journal = {Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)},

volume = {52},

number = {2},

pages = {176-186},

abstract = {Improving rice productivity and efficiency is the main goal of cultivation techniques to meet the demand for rice production. The aim of this research was to evaluate the suitability of rice varieties in cultivation systems, namely: organic cultivation + biological pest management (BPM), inorganic cultivation + BPM, and conventional cultivation. Different types of rice varieties, namely New Superior Varieties (NSV: INPARI-30, INPARI-32), New Plant Type (NPT: IPB-3S), and Superior Varieties from West Sumatra (Batang Piaman, Anak Daro), may exhibit differences in agronomic performance across various cultivation systems. This research was conducted at the Sawah Baru Babakan Experimental Farm, IPB University, Dramaga Bogor, using a factorial nested design with 4 replications. The results based on yield per hill and plot showed that Batang Piaman and INPARI-30 varieties were suitable for all organic + BPM, inorganic + BPM, and conventional cultivational systems. The INPARI-32 and IPB-3S varieties were more suitable for conventional cultivation and inorganic + BPM; while the Anak Daro variety was better in organic cultivation + BPM. Utilizing varieties with different characteristics for better yield performance could be considered with obtaining the suitability of the cultivation system, whether organic + BPM, inorganic + BPM, or conventional.},

keywords = {paddy, pest management, rice},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Textural features for BLB disease damage assessment in paddy fields using drone data and machine learning: Enhancing disease detection accuracy},

author = {Arif K Wijayanto and Lilik B Prasetyo and Sahid A Hudjimartsu and Chiharu Hongo},

url = {https://doi.org/10.1016/j.atech.2024.100498},

doi = {10.1016/j.atech.2024.100498},

year  = {2024},

date = {2024-06-28},

urldate = {2024-06-28},

journal = {Smart Agricultural Technology},

volume = {8},

issue = {August 2024},

abstract = {Detecting Bacterial Leaf Blight (BLB) in paddy fields is a critical challenge in Indonesia, where the disease poses a significant threat to rice production by reducing the photosynthetic ability and ultimately compromising plant productivity. This study explored the effectiveness of using drone-acquired data for textural analysis in paddy fields in West Java, with the aim of improving BLB detection by integrating textural and thermal characteristics. Utilizing advanced machine learning techniques, we combined drone data to assess different levels of damage caused by BLB. The normalized difference texture index, derived from the Haralick textural features, was employed as a key predictor. Our findings demonstrate that the inclusion of textural features markedly enhances disease detection accuracy compared with traditional methods based solely on spectral indices. Specifically, the random forest algorithm, which integrates texture and vegetation indices, achieved an impressive classification accuracy of 0.984. This innovative approach offers a robust, non-invasive solution for detecting BLB, significantly contributing to the protection of crop yields and addressing global food security challenges. This study underscores the potential of advanced remote sensing technologies and machine learning to revolutionize agricultural disease management.},

keywords = {drone, haralick, paddy, rice, textural feature},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Machine Learning for Precise Rice Variety Classification in  Tropical Environments Using UAV-Based Multispectral Sensing},

author = {Arif K Wijayanto and Ahmad Junaedi and Azwar A Sujaswara and Miftakhul B.R. Khamid and Lilik B Prasetyo and Chiharu Hongo and Hiroaki Kuze},

url = {http://algm.ipb.ac.id/wp-content/uploads/2025/02/agriengineering-05-00123.pdf},

doi = {10.3390/agriengineering5040123},

issn = {2624-7402},

year  = {2023},

date = {2023-11-01},

urldate = {2023-11-01},

journal = {AgriEngineering},

volume = {5},

pages = {2000-2019},

abstract = {An efficient assessment of rice varieties in tropical regions is crucial for selecting cultivars suited to unique environmental conditions. This study explores machine learning algorithms that leverage multispectral sensor data from UAVs to evaluate rice varieties. It focuses on three paddy rice types at different ages (six, nine, and twelve weeks after planting), analyzing data from four spectral bands and vegetation indices using various algorithms for classification. The results show that the neural network (NN) algorithm is superior, achieving an area under the curve value of 0.804. The twelfth week post-planting yielded the most accurate results, with green reflectance the dominant predictor, surpassing the traditional vegetation indices. This study demonstrates the rapid and effective classification of rice varieties using UAV-based multispectral sensors and NN algorithms to enhance agricultural practices and global food security.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Turmudi2023,

title = {Degraded Peatlands and Their Utilization Opportunities in Kepulauan Meranti Regency, Riau Province, Indonesia},

author = {Turmudi and Bambang Hero Saharjo and Lilik Budi Prasetyo and Boedi Tjahjono},

doi = {10.22146/ijg.84986},

issn = {00249521},

year  = {2023},

date = {2023-01-01},

journal = {Indonesian Journal of Geography},

volume = {55},

number = {3},

pages = {496–508},

abstract = {Degraded peatlands are caused by various factors, including land fires, water mismanagement, and mining activities. Indicators of degraded peatlands can be identified through the type of land cover observed in the field, which commonly includes shrubs and barren land (open areas of ex-mining land). Therefore, this study aimed to determine the dynamics of the existence of degraded land and its utilization opportunities using spatial, image, and time series analysis methodDepartment Forest Resources Conservation & Ecotourism, Forestry Faculty, Bogor Agricultural University Kampus IPB Darmaga PO.Box 168 Bogor-Indonesias. To conduct the analysis, various data sources were employed, including Landsat imagery, the Regional Spatial Planning (RTRW) map, hotspots data, rainfall data, landforms maps, peatlands data, and soil information. The results of the study showed that between 1999 and 2019, the average area of degraded peatlands amounted to 198,084.54 hectares. Furthermore, the optimal area of degraded peatlands utilized for agriculture amounted to 7,122.45 hectares . Inventory of degraded peatland using the land cover approach can be obtained faster, cheaper, easier than the terrestrial method. Opportunities for using degraded land for agricultural purposes were also identified through the selection of plant species that exhibited adaptability to peatlands and held economic value. These selected plants, including sago, rubber, areca nut, and liberika coffee, were developed within the Meranti Islands Regency.},

keywords = {Degraded, Hotspots, Land Cover, Peatlands, Regional Spatial Plan, Shrubs},

pubstate = {published},

tppubtype = {article}

}

@article{Risna2023,

title = {Forest resilience research using remote sensing and GIS - A systematic literature review},

author = {Rosniati A. Risna and Lilik Budi Prasetyo and Eimear Nic Lughadha and Muhammad Nur Aidi and Damayanti Buchori and Dian Latifah},

doi = {10.1088/1755-1315/1266/1/012086},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1266},

number = {1},

abstract = {Forest resilience assessment is increasingly important given the current global environmental change. However, attributes and indicators to quantify forest resilience still need to be explored. Remote sensing (RS) and Geographical Information System (GIS) techniques are widely applied for forest resilience modeling. A bibliometric analysis was conducted to obtain insights concerning methods for quantifying forest resilience using RS/GIS. VosViewer and Bibliometrix R software were applied to analyze 117 articles from the Web of Science global database covering a period of 2011-2021. Using inclusion-exclusion criteria, 31 studies were examined, covering local, regional, and transnational ecosystem types. Satellite devices were used in 28 studies, whilst GIS dataset frameworks were used in the remaining studies. Multiple satellites and sensors were preferable to maximize results for modeling forest resilience. To estimate resilience, ecological attributes (above-ground biomass, tree-ring, and basal area increments) and remote-sensing derived indicators (vegetation indices, forest cover changes, deforestation rates, and forest productivity) were analyzed using conventional statistical tests or machine learning techniques. Studies combined experiments, observations, and process-based models demonstrated better results. Scale and resolution, indicator uncertainty, and data availability were among the constraints reported using RS/GIS. Therefore, a standardized framework for forest resilience assessment incorporating field observation with RS/GIS is needed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Prayudha2023,

title = {Geomorphological and hydrological changes play a critical role in mangrove forest degradation in a rapidly shrinking lagoon in Indonesia},

author = {Bayu Prayudha and Yaya I. Ulumuddin and Vincentius Siregar and Suyarso and Syam B. Agus and Lilik B. Prasetyo and Kasih Anggraini and Abdullah Salatalohi},

issn = {18449166},

year  = {2023},

date = {2023-01-01},

journal = {AACL Bioflux},

volume = {16},

number = {1},

pages = {151–167},

abstract = {Coastal lagoons are important geographic features because they provide various natural resources. Exploitative resource use and mismanagement may cause irreversible damage to the environment. This paper aims to review research and management based on the available spatial dataset in Segara Anakan, a rapidly shrinking lagoon in Indonesia, which is expected to disappear completely soon. We summarize knowledge from the earliest available publication in the 19th century (Dutch colonial time) to current times. There are three extreme patterns of changes: geomorphological, vegetation cover, and hydrological changes. These changes are basically interconnected. For example, the lagoon is continuing to shrink, while freshwater supply is higher than seawater supply, decreasing soil salinity. With this lesser saline environment, the understory mangrove species occupy and grow quick in the degraded mangrove area. Thus, mangrove seedlings have difficulty in surviving in competition with the understory plants. From this insight, a conceptual model was developed, and could be used in the management of the area. The available (spatial) data can be used to obtain more knowledge about the mangrove forest in the area.},

keywords = {conceptual model, environmental changes, geomorphology, hydrology, Segara Anakan, understory},

pubstate = {published},

tppubtype = {article}

}

@article{Sudianto2023,

title = {Early Warning for Sugarcane Growth using Phenology-Based Remote Sensing by Region},

author = {Sudianto Sudianto and Yeni Herdiyeni and Lilik Budi Prasetyo},

doi = {10.14569/IJACSA.2023.0140259},

issn = {21565570},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Advanced Computer Science and Applications},

volume = {14},

number = {2},

pages = {502–510},

abstract = {It is crucial to know crop growing in order to increase agricultural productivity. In sugarcane's case, monitoring growth can be supported by remote sensing. This research aimed to develop an early warning for sugarcane growth using remote sensing with Landsat 8 satellite at a crucial phenological time. The early warning was developed by identifying regional sugarcane growth patterns by analyzing seasonal trends using linear and harmonic regression models. Identification of growth patterns aims to determine the crucial phenological time by calculating the statistical value of the NDVI spectral index. Finally, monitoring the sugarcane growth conditions with various spectral indices for verification: NDVI, NDBaI, NDWI, and NDDI. All processes used Google Earth Engine (GEE) as a cloud-based platform. The results showed that sugarcane phenology from January to June is crucial for monitoring and assessment. The value of the four corresponding indices indicated the importance of monitoring conditions to ensure a healthy sugarcane region. The results showed that two of the four regions were unhealthy during particular periods; unhealthy vegetation values were below 0.489 and vice versa, one due to excess water and the other due to drought},

keywords = {Google earth engine, landsat 8, monitoring and assessment, sugarcane health},

pubstate = {published},

tppubtype = {article}

}

@article{Widyastuti2023a,

title = {Population of the Javan Gibbon (Hylobates moloch) in the Dieng Mountains, Indonesia: An updated estimation from a new approach},

author = {Salmah Widyastuti and Dyah Perwitasari-Farajallah and Entang Iskandar and Lilik B. Prasetyo and Arif Setiawan and Nur Aoliya and Susan M. Cheyne},

doi = {10.3897/BDJ.11.E100805},

issn = {13142828},

year  = {2023},

date = {2023-01-01},

journal = {Biodiversity Data Journal},

volume = {11},

abstract = {The Javan gibbon (Hylobates moloch) is endemic to the island of Java and its distribution is restricted from the western tip of Java to the Dieng Mountains in Central Java. Unlike the other known habitats that hold a large population of Javan gibbons, the Dieng Mountains have not been protected and experience various threats. This study, which was conducted in 2018 and 2021, aimed to provide an update of the current density and population size of Javan gibbons in Dieng after the most recent study in 2010 and to investigate their relationships with habitat characteristics (vegetation and elevation). The triangulation method and a new acoustic spatial capture-recapture method were used to estimate group density. A new approach for extrapolation, based on the habitat suitability model, was also developed to calculate population size. The results show that the Javan gibbon population in the Dieng Mountains has most likely increased. The mean group density in each habitat type was high: 2.15 groups/km2 in the low suitable habitat and 5.55 groups/km in the high suitable habitat. The mean group size (3.95 groups/km2},

keywords = {ASCR, density, point count, population size, triangulation},

pubstate = {published},

tppubtype = {article}

}

@article{Widyastuti2023,

title = {The Javan Gibbon (Hylobates moloch) Habitat Changes and Fragmentation in the Dieng Mountains, Indonesia},

author = {Salmah Widyastuti and Dyah Perwitasari-Farajallah and Lilik Budi Prasetyo and Entang Iskandar},

doi = {10.7226/jtfm.29.2.150},

issn = {20892063},

year  = {2023},

date = {2023-01-01},

journal = {Jurnal Manajemen Hutan Tropika},

volume = {29},

number = {2},

pages = {150–160},

abstract = {The endangered javan gibbon (Hylobates moloch) has been threaten by massive habitat loss and fragmentation in Java. The survival of the second largest population which inhabited unprotected Dieng mountains faced greater risk to habitat conversion and fragmentation. The landscape-level habitat monitoring using spatiotemporal quantification is crucial as a baseline data for javan gibbon conservation. Here, the land-use and land-cover (LULC) change of the Javan gibbon habitat during 1994–2009–2021 and its fragmentation in the Dieng mountains were quantified. This study revealed there were no significant decline in the total of forest. However, its quality was degraded in the interior of forest block. The forest has more fragmented from large patches into smaller patches and increased forest edge. The higher fragmentation happened in the areas that traversed by road. Six suitable forest blocks were identified with varying level of connectivity. Protection and restoration both in the forest and in the interior forest is immediate need, especially in the main forest block. The extra effort is also crucial in the connected forest but traversed by road. The blocks which closely isolated by road could be potentially reconnected by artificial canopy bridge, while the other distantly isolated block might need habitat restoration for corridor.},

keywords = {connectivity, habitat monitoring, landscape metrics, LULC change, primate conservation},

pubstate = {published},

tppubtype = {article}

}

@article{Mansyur2023,

title = {Valuation of Transportation Policy in Makassar City Based on Vehicle Emission Pollution for Sustainable Zone Planning},

author = {Umar Mansyur and Santun R. P. Sitorus and Marimin and Lilik Budi Prasetyo},

doi = {10.21837/pm.v21i28.1313},

issn = {16756215},

year  = {2023},

date = {2023-01-01},

journal = {Planning Malaysia},

volume = {21},

number = {4},

pages = {24–34},

abstract = {City expansion, vehicle growing number, fossil fuel consumption as nonrenewable energy, and highest carbon emission has increased green house effect with potentially expanding global warming. Global warming has negative impacts on citizen quality of life as well as economic growth. Makassar City as one of the metropolitan in Indonesia with the high number of vehicle has a potential to endure global warming. This is excarbated by the decreasing environmental carrying capacity caused by household and industrial pollution and greater vehicle emission. This study aims to (1) identify the vehicle emission gas using descriptive analysis, (2) evaluate ambient air quality in several locations within Makassar City based on field measurement, and (3) formulate the zone plan with potential vehicle-sourced high pollution using AHP. It can be concluded from this study that 99% of Makassar City's pollution is caused by vehicle emissions with specifically refers to vehicle ages, car engine types, and low maintenance. It is found that high pollution level occurs in the suburbs, while medium pollution level happens in the transition zone and low level of pollution in city center. Urban infrastructure improvement is carried out by Makassar City Development Agency (Bappeda) with consistency ratio between 0.05 and 0.06.},

keywords = {Ambient Air Quality, Vehicle Emission, Zone Planning},

pubstate = {published},

tppubtype = {article}

}

@article{Rosikin2023,

title = {Assessment of the success of canopy cover revegetation of former coal mine lands with Forest Canopy Density (FCD) Model in Kutai Kartanegara, East Kalimantan},

author = {Rosikin and Lilik Budi Prasetyo and Rachmad Hermawan},

doi = {10.29244/jpsl.13.4.574-585},

issn = {24605824},

year  = {2023},

date = {2023-01-01},

journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan},

volume = {13},

number = {4},

pages = {574–585},

abstract = {Coal mining plays a vital role in Indonesia's economic growth. However, these activities negatively impact the environment. To minimize this, the Indonesian government requires ex-mining land to be reclaimed, with one of the success criteria being canopy cover. Until now, there has been no measurable method that can determine the success rate of canopy cover on reclaimed land. This research was conducted to develop a measurement method based on remote sensing data using the Forest Canopy Density (FCD) Model, which is applied in Company X, Kutai Kertanegara. The FCD Model consisted of four biophysical indices, including AVI, BSI, SI, and TI, obtained from Landsat 8 OLI TIRS imagery from 2013–2021. The Kolmogorov-Smirnov normality test was performed before testing the relationship between FCD values and canopy cover using linear regression to obtain the canopy cover success value based on the FCD value. The FCD showed an increasing trend yearly, especially in the first two years after planting. Regression analysis showed a strong relationship between FCD values and canopy cover values, with R2 =0.775, and revealed that 75.35 is the FCD value threshold for a successful canopy cover in the reclamation area. This study shows that the FCD approach can be applied to determine the success rate of reclamation in post-mining areas.},

keywords = {Coal, forest canopy density, mining, reclamation, remote sensing},

pubstate = {published},

tppubtype = {article}

}

@article{Fauzia2023,

title = {Citizen science contribution in herpetofauna data collection in Java},

author = {A. M. Fauzia and Mirza D. Kusrini and Lilik B Prasetyo},

doi = {10.1088/1755-1315/1271/1/012046},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1271},

number = {1},

abstract = {Biodiversity distribution data is essential as it is the basis for policies, development plans, and laws. Citizen science, which involves public participation in scientific research, has become a popular method for researchers to gather scientific data with the help of volunteers, including biodiversity distribution data. "Amfibi Reptil Kita"(ARK) is one of the citizen science projects on the iNaturalist platform that collects herpetofauna data in Indonesia. Earlier investigations into the distribution of herpetofauna data in Java and Bali involved utilizing museum collections and reports based on observations and research. A comparative analysis was performed between previous research data and information sourced from ARK, aiming to evaluate the extent of citizen science's contribution to data compilation. This study only compares the distribution data on the island of Java. The data is presented in a grid format measuring 5x5 km as the smallest unit in the study. Citizen science data is more evenly distributed than the previous research. Although previous research had more filled grids compared to citizen science, the span of previous research is 113 years compared to 5 years data of citizen science. Nevertheless, citizen science, with all its conveniences, has high potential in collecting biodiversity distribution data.},

keywords = {amphibia, ARK, distribution, iNaturalist, reptiles},

pubstate = {published},

tppubtype = {article}

}

@article{Rafina2023,

title = {Mapping forest cover change in relation to oil palm commodities development using Google Earth Engine in the Leuser Ecosystem},

author = {Ihwan Rafina and Lilik Budi Prasetyo},

doi = {10.1088/1755-1315/1266/1/012083},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1266},

number = {1},

abstract = {The Leuser ecosystem is a vital biodiversity hotspot providing essential ecosystem services to local communities in Asia. It encompasses diverse landscapes, from rainforests to coastal ecosystems and peatlands. However, human activities, particularly deforestation for palm oil plantations, have severely impacted Leuser ecosystem's ecological balance. This study analyzes land cover changes in Leuser ecosystem between 2016 and 2022, using satellite imagery from platforms like Sentinel-1 and Landsat 8 on Google Earth Engine. During this period, forest cover decreased by 2.8%, while oil palm plantations expanded by 3.15%, with 23,404 hectares of forested land converted. Unregulated activities by small-scale farmers accounted for 73% of this conversion. The accuracy assessment of the land use classification showed moderate accuracy in 2016, with an overall accuracy of 64.95% and a kappa coefficient of 0.388. However, in 2022, the accuracy improved significantly, with an overall accuracy of 73.20% and a kappa coefficient of 0.520. Though land use classification accuracy improved from 2016 to 2022, more robust monitoring and regulation are necessary to address the threats posed by palm oil development. Striking a balance between economic development and environmental preservation in Leuser ecosystem requires sustainable palm oil practices and conservation initiatives.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pramana2023,

title = {The habitat suitability modelling of dare monkey (Macaca maura) in Bantimurung Bulusaraung National Park, South Sulawesi},

author = {Gede Tragya Suartika Pramana and Lilik Budi Prasetyo and Entang Iskandar},

doi = {10.29244/jpsl.13.1.57-67},

issn = {24605824},

year  = {2023},

date = {2023-01-01},

journal = {Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan},

volume = {13},

number = {1},

pages = {57–67},

abstract = {Sulawesi Island is the center of the Wallacea area, which has high biodiversity and is inhabited by several endemic plant and animal species, one of which is the dare monkey (Macaca maura) which is included in the category of endangered species due to the decline in habitat quality caused by shifting forest functions to other uses, competition feed between animals and rampant poaching due to being an agricultural pest are the reasons for the decline in the dare monkey population. This study aims to analyze habitat suitability and the effect of environmental variables on the habitat of dare monkeys in Bantimurung Bulusaraung National Park. The results of the study are expected to provide an overview of the planning of the Babul National Park area in preparing a priority scale for area management, especially those related to dare monkey conservation. The research was conducted through the development of a species distribution model using Maxent ver 3.4.4. The results show that the AUC value of the model is 0,887 with a standard deviation of ± 0.019 which is a feasible prediction model with a suitable habitat area of 247.34 km2 (36.5%) and 429.52 km2 (63.5%). The suitable habitat area is divided into low suitability class 113.13 km2 (46%), moderate suitability class 81.8 km2 (33%), and high suitability class 52.41 km2 (21%). While the environmental variables that most influence the presence of dare monkeys are land cover (36%), distance from the highway (33.3%), distance from rivers (11.5%), and distance from agricultural areas (10.4%).},

keywords = {Dare monkey, environmental variables, habitat suitability, MaxEnt, species presence},

pubstate = {published},

tppubtype = {article}

}

@article{Khamid2023a,

title = {Genotypes assessment for developing varieties on multi-canopy rice cultivation system},

author = {Miftakhul Bakhrir Rozaq Khamid and Ahmad Junaedi and Heni Purnamawati and Hajrial Aswidinnoor and Lilik Budi Prasetyo},

doi = {10.13057/biodiv/d240258},

issn = {20854722},

year  = {2023},

date = {2023-01-01},

journal = {Biodiversitas},

volume = {24},

number = {2},

pages = {1175–1185},

abstract = {The Multi-Canopy Rice Cultivation (MCRC) system is a promising cultivation technique that adopts the advantages of cultivar mixture with different canopy vertical dispersion. This system may increase productivity by optimizing vertical space and more efficient input resources. This study aimed to assess the genotype derived from the IPB breeding line for suitability in the MCRC system by combining the short and the tall rice plants. Seed material used four genotypes of the short plants and four genotypes of the tall plants as promising breeding lines of IPB University and three released varieties as the control for productivity evaluation. The results showed morphological and physiological performance as good as in the mono-genotype on the variables of the flag leaf shape, plant height, Soil Plant Analysis Development (SPAD) value, and Crop Growth Rate (CGR). Some genotype combinations achieved productivity higher than 1.00 Land Equivalent Ratio (LER) compared to the mono-genotype, indicating that increasing rice productivity is possible using the MCRC system. The result indicates that the suitable combination of the short-tall genotypes in the MCRC system may be considered to deal with the criteria of plant height, grain yield, and LER in the MCRC, as well as grain index and related grain quality.},

keywords = {High productivity, intensification, resources efficiency, rice canopy, vertical space},

pubstate = {published},

tppubtype = {article}

}

@article{Khamid2023,

title = {Morpho-physiological characterization of multi-canopy rice cultivation systems in various genotype combinations},

author = {M. B. R. Khamid and A. Junaedi and H. Aswidinnoor and H. Purnamawati and L. B. Prasetyo},

doi = {10.1088/1755-1315/1208/1/012037},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1208},

number = {1},

abstract = {The multi-canopy rice cultivation system modifies the cultivar mixture using two genotypes with different stem lengths to create different heights of the plant canopy that may optimize vertical growth and harvesting space. This study aims to investigate the effect of a multi-canopy rice cultivation system on the morpho-physiological characteristics of several genotype combinations. The research was conducted in the plastic house of the IPB University experimental station, Dramaga, Bogor, West Java, Indonesia. Two genotypes of the short plants and two tall plants as IPB University breeding lines were evaluated using a randomized complete block design. The combination of the short and the tall genotypes was transplanted on the same hill to create the multi-canopy system. The results of the multi-canopy rice cultivation system produced a number of tillers, panicle number, and percentage of productive tillers showed no difference with mono-genotype hills. Meanwhile, the genotype's performance in the multi-canopy system for stem length, plant height, panicle length, panicle density, photosynthesis rate, and SPAD value is as good as the mono-genotype system. These results indicated no decrease in morpho-physiological characters' performance in each genotype grown as a combination in multi-canopy. Each genotype can utilize resource inputs at different canopy positions to minimize competition.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Prayudha2023a,

title = {Mangrove forest encroachment by Nypa frutican, Derris trifoliata, and Acanthus spp. in Segara Anakan Lagoon},

author = {B. Prayudha and V. Siregar and Y. I. Ulumuddin and L. B. Prasetyo and S. B. Agus and Suyadi and Suyarso and A. Salatalohi and K. Anggraini},

doi = {10.1088/1755-1315/1251/1/012017},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1251},

number = {1},

abstract = {Based on phytosociological methods and land cover change analysis, previous studies in Segara Anakan Lagoon (SAL) indicated the spreading of mangrove species living in the forest margin ecotone into the forest interior, encroaching the other mangrove communities. This current study aims to quantify the spreading pattern of those mangrove species, assess the effect of the spreading of those mangrove species to the other mangrove communities, and identify the location of the spreading pattern relative to the newly emerged islands. The spreading pattern can be demonstrated by analyzing landscape structures quantified by landscape metrics. It was done using multi-Temporal mangrove maps, representing the changes in mangrove communities over four periods with a decade interval. The landscape metrics used were the aggregation index, the size of community patches, and the distance between the patches. These metrics were extracted by using landscape metrics, an R package. The changes in the metrics over time were compared namely 1990, 2000, 2010, and 2020. The results showed that the small patches of the forest margin species became more aggregated into a larger patch, while the mangrove forests became more fragmented. This condition occurred most in the west part of SAL where the new islands emerged.},

keywords = {forest encroachment, fragmentation, landscape metrics, Segara Anakan Lagoon},

pubstate = {published},

tppubtype = {article}

}

@article{Rahmila2023,

title = {Determination of Health Index Classification and Management Sustainable Mangrove Ecosystems Using a Combination of Fuzzy and ISM Methods},

author = {Yulizar Ihrami Rahmila and Lilik Budi Prasetyo and Cecep Kusmana and Yudi Setiawan and Suyadi and Lisna Efiyanti and Dian Anggraini Indrawan and Bono Pranoto and Mayrianti Annisa Anwar and Mira Yulianti and Irma Yeny and Wieke Herningtyas and Khaerul Amru},

doi = {10.1088/1755-1315/1266/1/012087},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1266},

number = {1},

abstract = {The area of mangrove forests in Indonesia in 2021, according to the Ministry of Environment and Forestry, is around 3,364,080 Ha; this amount is equivalent to 23% of the world's mangrove ecosystem, which is from a total of 16,530,000 Ha (FAO, 2005). Information on the condition of mangrove ecosystems is important to know whether or not an area is good. Studies related to the condition of mangrove ecosystems based on environmental quality and mangrove health index to determine the environmental quality and mangrove health are needed for ecosystem management in the future. This article describes the health parameters of mangrove ecosystems that will be analyzed with the help of a combination of decision support software such as fuzzy and ISM so that priority mangrove ecosystem locations can be determined, mangrove health index values to determine the health status of mangrove ecosystems and determine alternative sustainable mangrove ecosystem management policies that will be applied to the object of study. In addition, the study also discusses the concept of determining standard criteria for the level of damage to mangrove ecosystems and determining the status of mangrove ecosystems. Based on fuzzy logic, data analysis shows that the output of the Mangrove Health Index can be determined with 3 variables and 27 rules, with key factors in Mangrove Density, Canopy Cover and Number of saplings. The results of ISM show that management institutions that must be actively involved in supporting the success of sustainable mangrove forest ecosystem management in Batam City are KLHK, DLHK Riau Islands Province, and BPDAS Sei Jang Duriangkang. Proper handling of constraints and management institutions that are actively involved in mangrove forest ecosystem management will ultimately encourage budget effectiveness and efficiency to meet the main goal, namely sustainable mangrove forest ecosystem management in Batam City.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Adinugroho2023,

title = {Spatial-temporal forest canopy density in Indonesia's new capital city and its surrounding area},

author = {Wahyu Catur Adinugroho and Lilik Budi Prasetyo and Cecep Kusmana and Haruni Krisnawati},

doi = {10.1088/1755-1315/1266/1/012001},

issn = {17551315},

year  = {2023},

date = {2023-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1266},

number = {1},

abstract = {Monitoring the condition of the forest in Indonesia's New Capital City, Nusantara (IKN), and the surrounding area as a buffer is crucial to realizing the Forest City concept. Forest canopy density can be used to understand and measure forest conditions using satellite imagery efficiently. The main objective of this study was to investigate the spatial-temporal dynamic alterations of forest canopy density across IKN and its buffer. Forest canopy density is based on Landsat 8 imagery for 2015-2020, processed in the cloud using the Google Earth Engine (GEE) and compared using a hemispherical photograph and LiDAR. Google Earth Engine is powerful for creating forest canopy density maps, although Canopy density from Landsat 8 tends to be lower than hemispherical and Lidar, so a correction factor is needed. The correlation between forest canopy density and hemispherical photography can provide valuable insights into the structure and composition of a forest ecosystem. For land types covered with forest, consistently in 2015 and 2020, it dominates dense forest canopy density (>60%). The forest area in the IKN and its surroundings experienced a decrease in forest canopy density by logging. In contrast, some areas experienced increased forest canopy density representing disturbed forest growth.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Using Precision Agriculture (PA) Approach to Select Suitable Final Disposal Sites for Energy Generation},

author = {Kudang B Seminar and Leopol O Nelwan and I W Budiastra and Arya Sutawijaya and Arif K Wijayanto and Harry Imantho and Muhammad A Nanda and Tofael Ahamed},

url = {https://doi.org/10.3390/info14010008},

doi = {https://doi.org/10.3390/info14010008},

year  = {2022},

date = {2022-12-23},

urldate = {2022-12-23},

journal = {Information},

volume = {14},

issue = {1},

abstract = {Severe environmental pollution and disease exposure are caused by poor waste management, specifically in urban areas due to urbanization. Additionally, energy shortage has threatened almost all parts of human life in the world. To overcome this problem, a precision agriculture approach using spatial mapping based on social environmental factors and sustainability principles can be used to find the variability of sites with respect to their suitability for waste disposal and energy generation. Therefore, this study aimed to develop a system for selecting suitable areas for municipal waste disposal and energy generation based on several structured criteria as hierarchical weighted factors. The system prototype was developed and tested in a case study conducted in an Indonesian Megapolitan area. The suitability map produced by the system for waste disposal and energy generation had an accuracy of 84.3%. Furthermore, validation was carried out by ground-checking at 102 location points. A future application of the proposed system is to provide spatial data-based analysis to improve regional planning and policy-making for waste disposal and energy generation in certain areas, particularly in Indonesia.},

keywords = {AHP, renewable energy, waste management},

pubstate = {published},

tppubtype = {article}

}

@article{Condro2022,

title = {Protected areas slow down tropical rainforest disturbance in the Leuser Ecosystem, Indonesia},

author = {Aryo Adhi Condro and Lilik B Prasetyo and Siti Badriyah Rushayati and I Putu Santikayasa and Entang Iskandar},

url = {https://www.tandfonline.com/doi/full/10.1080/1747423X.2022.2115571https://algm.ipb.ac.id/wp-content/uploads/2022/08/Protected-areas-slow-down-tropical-rainforest-disturbance-in-the-Leuser-Ecosystem-Indonesia.pdf},

doi = {10.1080/1747423X.2022.2115571},

year  = {2022},

date = {2022-08-25},

journal = {Journal of Land Use Science},

volume = {17},

number = {1},

pages = {454-470},

abstract = {Tropical rainforest ecosystems that function as biodiversity pools had been undermined because of anthropogenic activities. Research has shown that protected areas (PAs) have become the first safeguard for biodiversity. However, how to measure the effectiveness of PAs remains unclear. We present spatiotemporal changes within the PAs and non-PAs in the Leuser Ecosystem, which is one of the significant global landscapes, using intensity analysis during two time periods and propensity score matching to investigate the effectiveness of PAs. We classified land cover using machine learning based on remotely sensed data. Our results revealed the effectiveness of PAs compared with non-PAs. The new conservation intervention after 2008 resulted in the deacceleration of deforestation from 2000–2010 to 2010–2020. In addition, PAs can reduce deforestation two times more effectively than non-PAs. Therefore, PAs and good governance within the Leuser Ecosystem are crucial in maintaining the natural ecosystem to address global conservation targets.},

keywords = {leuser, rainforest},

pubstate = {published},

tppubtype = {article}

}

@article{Adinugroho2022,

title = {Recovery of Carbon and Vegetation Diversity 23 Years after Fire in a Tropical Dryland Forest of Indonesia},

author = {Wahyu Catur Adinugroho and Lilik B Prasetyo and Cecep Kusmana and Haruni Krisnawati and Christopher J. Weston and Liubov Volkova},

url = {https://www.mdpi.com/2071-1050/14/12/6964/htm},

doi = {10.3390/su14126964},

year  = {2022},

date = {2022-06-07},

journal = {Sustainability},

volume = {14},

number = {12},

abstract = {Understanding the recovery rate of forest carbon stocks and biodiversity after disturbance, including fire, is vital for developing effective climate-change-mitigation policies and actions. In this study, live and dead carbon stocks aboveground, belowground, and in the soil to a 30 cm depth, as well as tree and shrub species diversity, were measured in a tropical lowland dry forest, 23 years after a fire in 1998, for comparison with adjacent unburned reference forests. The results showed that 23 years since the fire was insufficient, in this case, to recover live forest carbon and plant species diversity, to the level of the reference forests. The total carbon stock, in the recovering 23-year-old forest, was 199 Mg C ha−1 or about 90% of the unburned forest (220 Mg C ha−1), mainly due to the contribution of coarse woody debris and an increase in the 5–10 cm soil horizon’s organic carbon, in the burned forest. The carbon held in the live biomass of the recovering forest (79 Mg C ha−1) was just over half the 146 Mg C ha−1 of the reference forest. Based on a biomass mean annual increment of 6.24 ± 1.59 Mg ha−1 yr−1, about 46 ± 17 years would be required for the aboveground live biomass to recover to equivalence with the reference forest. In total, 176 plant species were recorded in the 23-year post-fire forest, compared with 216 in the unburned reference forest. The pioneer species Macaranga gigantea dominated in the 23-year post-fire forest, which was yet to regain the similar stand structural and compositional elements as those found in the adjacent unburned reference forest.},

keywords = {carbon, dryland},

pubstate = {published},

tppubtype = {article}

}

@article{Prasetyo2022,

title = {Assessing Sumatran Peat Vulnerability to Fire under Various Condition of ENSO Phases Using Machine Learning Approaches},

author = {Lilik B Prasetyo and Yudi Setiawan and Aryo Adhi Condro and Kustiyo and Eriyanto Indra Putra and Nur Hayati and Arif K Wijayanto and Almi Ramadhi and Daniel Murdiyarso},

url = {https://www.mdpi.com/1999-4907/13/6/828},

doi = {10.3390/f13060828},

year  = {2022},

date = {2022-05-25},

journal = {Forests},

volume = {13},

number = {6},

abstract = {In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed to a large amount of greenhouse gas emissions. The El-Nino Southern Oscillation (ENSO) modulates the occurrence of fires in Indonesia through prolonged hydrological drought. Thus, assessing peatland vulnerability to fires and understanding the underlying drivers are essential to developing adaptation and mitigation strategies for peatland. Here, we quantify the vulnerability of Sumatran peat to fires under various ENSO conditions (i.e., El-Nino, La-Nina, and Normal phases) using correlative modelling approaches. This study used climatic (i.e., annual precipitation, SPI, and KBDI), biophysical (i.e., below-ground biomass, elevation, slope, and NBR), and proxies to anthropogenic disturbance variables (i.e., access to road, access to forests, access to cities, human modification, and human population) to assess fire vulnerability within Sumatran peatlands. We created an ensemble model based on various machine learning approaches (i.e., random forest, support vector machine, maximum entropy, and boosted regression tree). We found that the ensemble model performed better compared to a single algorithm for depicting fire vulnerability within Sumatran peatlands. The NBR highly contributed to the vulnerability of peatland to fire in Sumatra in all ENSO phases, followed by the anthropogenic variables. We found that the high to very-high peat vulnerability to fire increases during El-Nino conditions with variations in its spatial patterns occurring under different ENSO phases. This study provides spatially explicit information to support the management of peat fires, which will be particularly useful for identifying peatland restoration priorities based on peatland vulnerability to fire maps. Our findings highlight Riau’s peatland as being the area most prone to fires area on Sumatra Island. Therefore, the groundwater level within this area should be intensively monitored to prevent peatland fires. In addition, conserving intact forests within peatland through the moratorium strategy and restoring the degraded peatland ecosystem through canal blocking is also crucial to coping with global climate change.},

keywords = {ENSO, fire, land fire, peat land},

pubstate = {published},

tppubtype = {article}

}

@article{Kurniawan2022,

title = {Hypothetical effects assessment of tourism on coastal water quality in the Marine Tourism Park of the Gili Matra Islands, Indonesia},

author = {Fery Kurniawan and Lukri Adrianto and Dietriech Geoffrey Bengen and Lilik B Prasetyo},

url = {https://link.springer.com/article/10.1007/s10668-022-02382-8},

doi = {10.1007/s10668-022-02382-8},

year  = {2022},

date = {2022-05-10},

journal = {Environment, Development and Sustainability},

abstract = {Tourism is one of the most important issues facing marine protected areas (MPAs) and small islands worldwide. Tourism development is considered a contribution to pollution levels in the environment. This paper aims to evaluate the hypothetical effects of tourism development on water quality spatially and temporally using the coastal water quality index (CWQI) and Geographic Information System (GIS) in search of improved management for marine conservation areas. This study showed significant tourism influences on the CWQI in the Marine Tourism Park of the Gili Matra Islands, Lombok, Indonesia. Water quality variability indicates a significant spatiotemporal difference (p < 0.05) in the two tourism seasons. During the peak season of tourism, the CWQI decreased to poor conditions, i.e., ranging from 9.95 to 21.49 for marine biota and from 7.98 to 30.42 for marine tourism activities in 2013, and ranging from 39.52 to 44.42 for marine biota and from 44.13 to 47.28 for marine tourism activities, which were below the standard for both marine biota and marine tourism activities. On the contrary, it showed a better level (from poor to moderate) during the low season of tourism (ranging from 41.92 to 61.84 for marine biota and from 48.06 to 65.27 for marine tourism activities in 2014), providing a more acceptable condition for both aspects. The study proved that massive tourism development in the MPA and small islands could reduce water quality and increase vulnerability. Accordingly, integrated tourism management and the environment, waters, and land will be needed to develop sustainable tourism. The CWQI and GIS were applicable to assess water quality, both spatially and temporally, and become a quick reference in monitoring and initial evaluation of impact management.},

keywords = {coastal, tourism},

pubstate = {published},

tppubtype = {article}

}

@article{Rahadian2022,

title = {Adaptive Mangrove Ecosystem Rehabilitation Plan based on Coastal Typology and Ecological Dynamics Approach},

author = {Aswin Rahadian and Cecep Kusmana and Yudi Setiawan and Lilik B Prasetyo},

url = {https://journal.ipb.ac.id/index.php/hayati/article/view/39193},

doi = {10.4308/hjb.29.4.445-458},

issn = {1978-3019},

year  = {2022},

date = {2022-03-30},

journal = {HAYATI Journal of Biosciences},

volume = {29},

number = {4},

pages = {445-458},

abstract = {Mangrove rehabilitation has implications for important ecological, social and economic values for coastal communities. The mangroves ecosystem Karawang Regency is still under pressure due to the management and utilization that does not pay attention to the sustainability aspect. The rehabilitation plan to mangrove management must be adapted to the nature and characteristics of the habitat. This study aims to formulate technical considerations for the direction of a rehabilitation plan based on an ecological approach and the dynamics of the mangrove ecosystem. The methods used in this study were geospatial approach that integrated with field quanitative and qualitative data. The results show that the total of mangrove potential area in Karawang Regency was 19,139.53 ha, consisting of 421.95 ha (2.2%) of vegetated area and 18,717.58 ha (97.8%) of unvegetated area. We integrate mangrove typology, mangrove stand density, physical parameters, and land use as the basis for determining the direction of rehabilitation planning. In the estuarine deltaic mangrove typology, we aim at protecting with natural regeneration. In infringe areas, we recommend constructing natural coastal structures before planting. On the backward for intensive planting. Furthermore, mangroves with low density, medium density, and high density are recommended for planting, species enrichment, and protecting respectively, and on the pond with implementing the mixed mangrove-aquaculture system to bridge between rehabilitation effort and economic needs of coastal communities.},

keywords = {coastal, mangrove},

pubstate = {published},

tppubtype = {article}

}

@article{Purnomo2022,

title = {Diversity and carbon sequestration capacity of naturally growth vegetation in ex-nickel mining area in Kolaka, Southeast Sulawesi, Indonesia},

author = {Danang Wahyu Purnomo and Lilik B Prasetyo and Didik Widyatmoko and Siti Badriyah Rushayati and Ikar Supriyatna and Akhmad Yani},

url = {https://smujo.id/biodiv/article/view/10518},

doi = {10.13057/biodiv/d230330},

issn = {2085-4722},

year  = {2022},

date = {2022-02-22},

journal = {Biodiversitas},

volume = {23},

number = {3},

pages = {1433-1442},

abstract = {Diversity and carbon sequestration capacity of naturally growth vegetation in ex-nickel mining area in Kolaka, Southeast Sulawesi, Indonesia. Biodiversitas 23: 1433-1442. Efforts to restore forest integrity on ex-mining lands are essential to improve environmental quality and sequester carbon. One such effort is through revegetation of post-mined land including in ex-nickel mining in Southeast Sulawesi. This research analyzes the diversity of naturally regenerating plant species in the ex-nickel mining area in Kolaka, Southeast Sulawesi and determines several local tree species with the potential for carbon sequestration. Vegetation survey was conducted using a systematic nested sampling method at the post-mined site with three vegetation types: secondary forest, shrubs and bushes, and a reference/control site (i.e., natural forest in the nearby Lamedai Nature Reserve). Different types of vegetation were analyzed based on factors using Discriminant Analysis. Vegetation composition was analyzed using the Importance Value Index. Furthermore, biodiversity indicators were analyzed using Shannon-Wiener Diversity Index, Species Evenness Index, and Sorensen Similarity Index. Carbon absorption was measured using the leaf sample method and carbohydrate test. The results showed that the condition of the research site had been disturbed, and the succession process was still ongoing. The species diversity at all plant levels was classified as moderate category and the distribution of the community was unstable. At the tree level, the undisturbed areas had higher diversity. Eradication of Chromolaena odorata was needed to preserve the native vegetation and accelerate forest succession. Tree species recommended for restoring the ex-nickel mining area and carbon sequestration as core plants include Vitex glabrata R.Br., Alstonia macrophylla Wall. ex G.Don, Lithocarpus celebicus (Miq.) Rehder, Callicarpa pentandra Roxb., Dacryodes rugosa (Blume) H.J.Lam, Cananga odorata (Lam.) Hook.f. & Thomson, Glochidion rubrum Blume, Terminalia bellirica (Gaertn.) Roxb., and Psychotria calocarpa Ruiz & Pav., and other pioneer plants of Mallotus paniculatus (Lam.) Müll.Arg., Macaranga peltata (Roxb.) Müll.Arg., and Macaranga hispida (Blume) Müll.Arg.},

keywords = {carbon, mining, nickel},

pubstate = {published},

tppubtype = {article}

}

@article{Condro2022b,

title = {Climate change leads to range contraction for Japanese population of the Oriental Honey-Buzzards: Implications for future conservation strategies},

author = {Aryo Adhi Condro and Syartinilia Syartinilia and Hiroyoshi Higuchi and Yeni A Mulyani and Rika Raffiudin and Luthfi Rusniarsyah and Yudi Setiawan and Lilik B Prasetyo},

url = {https://www.sciencedirect.com/science/article/pii/S2351989422000464},

doi = {10.1016/j.gecco.2022.e02044},

year  = {2022},

date = {2022-02-01},

journal = {Global Ecology and Conservation},

volume = {34},

abstract = {Over the past decades, global environmental changes have led to unfavorable effects on migratory birds. However, many species that encounter climate change are listed as least concern by International Union for Conservation of Nature. Using species distribution models, we quantified the redistributions of breeding and wintering sites of oriental honey buzzards, OHB (Pernis ptilorhynchus), a long-distance migratory raptor that often preys on the larvae of wasps and bees under changing climate based on shared socio-economic pathways scenarios. We also incorporated climate and land use risks based on climate anomalies and vegetation dynamics to assess future conservation strategies. The results revealed a significant range contraction on the wintering and breeding areas of the OHB species by 2050 and 2100. Our results suggest that the migration distance will likely increase under all scenarios. In addition, we found many high-risk areas across OHB habitats while refugia areas were relatively only covered a small proportion. Habitat restoration and developing new protected areas become a fundamental strategy for OHB conservation. Our approaches have provided comprehensive insights into broad biogeographic dynamics under multifaceted threats and how to tackle global changes through the specific landscape management for long-distance migrants.},

keywords = {honey bee},

pubstate = {published},

tppubtype = {article}

}

@article{Rizal2021,

title = {Biomass Estimation Model For Peat Swamp Forest Ecosystem Using LiDAR (Light Detection And Ranging)},

author = {Muhammad Rizal and Muhammad Buce Saleh and Lilik B Prasetyo},

url = {http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/18152},

doi = {10.12928/telkomnika.v19i3.18152},

issn = {2302-9293},

year  = {2021},

date = {2021-06-01},

journal = {TELKOMNIKA},

volume = {19},

number = {3},

abstract = {Peat swamp forest plays avery important role in absorbing and storing large amounts of terrestrial carbon, both above ground and in the soil. There has been a lot of research on the estimation of the amount of biomass above the ground, but a little on peat swamp ecosystems using LIDAR technology, especially in Indonesia. The purpose of this study is to build a biomass estimation model based on LIDAR (Light Detection and Ranging) data. This technology can obtain information about the structure and characteristics of any vegetation in detail and in real time. Data was obtained from the East Kotawaringin Regency, Central Kalimantan. Biomass field was generated from the available allometry, and Point cloud of LiDAR was extracted into  Canopy Cover (CC), and data on tree height, using the FRCI and Local Maxima (LM) method, respectively. The CC and tree height data were then used as independent variables in building the regression model. The best-fitted model was obtained after the scoring and ranking of several regression forms such as linear, quadratic, power, exponential and logarithmic. This research concluded that the quadratic regression model, with R2 of 72.16% and  RMSE (Root Mean Square Error) of 0.0003% is the best-fitted estimation model (BK). Finally, the biomass value from the models was 244.510 tons/ha.},

keywords = {biomass, LiDAR, peat swamp},

pubstate = {published},

tppubtype = {article}

}

@article{Syahidah2021,

title = {Composition of tropical agricultural landscape alters the structure of host-parasitoid food webs},

author = {Tazkiyatul Syahidah and Akhmad Rizali and Lilik Budi Prasetyo and Pudjianto and Damayanti Buchori},

url = {https://doi.org/10.1016/j.heliyon.2021.e07625},

doi = {10.1016/j.heliyon.2021.e07625},

issn = {24058440},

year  = {2021},

date = {2021-01-01},

journal = {Heliyon},

volume = {7},

number = {7},

pages = {e07625},

publisher = {Elsevier Ltd},

abstract = {Land-use change and habitat fragmentation are well-known to affect host-parasitoid interactions. However, the study of the effects of landscape composition, as a result of habitat fragmentation, on host-parasitoid food webs is still limited especially in a tropical agricultural landscape. This research was aimed to study the effect of agricultural landscape composition on the structure of host-parasitoid food webs. Field research was conducted in sixteen long-bean fields located in Bogor Regency, West Java, Indonesia. In each long-bean field, sampling of insect pests and their parasitoids was carried out using direct observation within a plot size of 25 m × 50 m. The collected insects were brought to the laboratory for rearing and observed for emerging parasitoids. Landscape composition of each long-bean field was measured by digitizing the whole patch within a radius of 500 m from the long-bean field as a center of landscape, and landscape parameters were then quantified by focusing on number of patches and class area of both semi-natural habitats and crop fields. In total, we found 51 morphospecies of insect pests and 110 morphospecies of associated parasitoids from all research locations. Lepidopteran pests are the most abundant and species-rich with 35 morphospecies and with 76 morphospecies of parasitoids. Based on the generalized linear models, landscape composition especially class area of natural habitat and crop field showed a positive relationship with host-parasitoid food-web structure especially on connectance and compartment diversity. In conclusion, landscape composition contributes to shaping the host-parasitoid food-webs in a tropical agricultural landscape.},

keywords = {Bogor, landscape metric, Lepidopteran pest, Semi-natural habitat},

pubstate = {published},

tppubtype = {article}

}

@article{Rizal2021b,

title = {Biomass estimation model for peat swamp forest ecosystem using light detection and ranging},

author = {Muhamad Rizal and M. Buce Saleh and Lilik Budi Prasetyo},

doi = {10.12928/TELKOMNIKA.v19i3.18152},

issn = {23029293},

year  = {2021},

date = {2021-01-01},

journal = {Telkomnika (Telecommunication Computing Electronics and Control)},

volume = {19},

number = {3},

pages = {770–780},

abstract = {Peat swamp forest plays a very important role in absorbing and storing large amounts of terrestrial carbon, both above ground and in the soil. There has been a lot of research on the estimation of the amount of biomass above the ground, but a little on peat swamp ecosystems using light detection and ranging (LiDAR) technology, especially in Indonesia. The purpose of this study is to build a biomass estimation model based on LiDAR data. This technology can obtain information about the structure and characteristics of any vegetation in detail and in real time. Data was obtained from the East Kotawaringin Regency, Central Kalimantan. Biomass field was generated from the available allometry, and Point cloud of LiDAR was extracted into canopy cover (CC), and data on tree height, using the FRCI and local maxima (LM) method, respectively. The CC and tree height data were then used as independent variables in building the regression model. The best-fitted model was obtained after the scoring and ranking of several regression forms such as linear, quadratic, power, exponential and logarithmic. This research concluded that the quadratic regression model, with R2of 72.16% and root mean square error (RMSE) of 0.0003% is the best-fitted estimation model (BK). Finally, the biomass value from the models was 244.510 tons/ha.},

keywords = {Allometry, biomass, canopy cover, LiDAR, Peat Swamp forest},

pubstate = {published},

tppubtype = {article}

}

@article{Juniyanti2021a,

title = {Understanding the driving forces and actors of land change due to forestry and agricultural practices in sumatra and kalimantan: A systematic review},

author = {Lila Juniyanti and Herry Purnomo and Hariadi Kartodihardjo and Lilik Budi Prasetyo},

doi = {10.3390/land10050463},

issn = {2073445X},

year  = {2021},

date = {2021-01-01},

journal = {Land},

volume = {10},

number = {5},

abstract = {Indonesia has experienced one of the world's greatest dynamic land changes due to forestry and agricultural practices. Understanding the drivers behind these land changes remains challenging, partly because landscape research is spread across many domains and disciplines. We provide a systematic review of 91 studies that identify the causes and land change actors across Sumatra and Kalimantan. Our review shows that oil palm expansion is the most prominent (65 studies) among multiple direct causes of land change. We determined that property rights are the most prominent issue (31 studies) among the multiple underlying causes of land change. Distinct combinations of mainly economic, institutional, political, and social underlying drivers determine land change, rather than single key drivers. Our review also shows that central and district governments as decision-making actors are prominent (69 studies) among multiple land change actors. Our systematic review indicates knowledge gaps that can be filled by clarifying the identification and role of actors in land change.},

keywords = {direct causes, PRISMA diagram, Tropical deforestation, underlying causes},

pubstate = {published},

tppubtype = {article}

}

@article{Adinugroho2021,

title = {Exploring the potential of soil moisture maps using Sentinel Imagery as a Proxy for groundwater levels in peat},

author = {W. C. Adinugroho and R. Imanuddin and H. Krisnawati and A. Syaugi and P. B. Santosa and M. A. Qirom and L. B. Prasetyo},

doi = {10.1088/1755-1315/874/1/012011},

issn = {17551315},

year  = {2021},

date = {2021-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {874},

number = {1},

abstract = {Degraded peatlands are extremely vulnerable to the threat of fires and have been a major source of national greenhouse gas emissions. Maintaining a certain level of water in peatlands is an essential measure of disaster vulnerability in peatlands. During the dry season, when the lower part of the peat still retains water, fires only occur on the surface and are relatively easy to extinguish. However, one of the limiting factors in peatland management and its more comprehensive application has been the availability of sufficient and spatially distributed Groundwater Level (GWL) data. This study explores the soil moisture map as a proxy for peat condition indicators that correlate with groundwater level. The case studies conducted at Tumbang Nusa Research Forest and Peat Hydrological Unit of Kahayan Sebangau show that peatland conditions can be estimated through biophysical parameters detectable from remotely-sensed data. Soil Moisture Map (SMM) can be produced with a higher resolution (Sentinel 1 = 10m) using the free and open tools SEPAL based on cloud computing infrastructure. The Support-Vector-Regression machine learning approach is used to estimate soil moisture. There is a correlation between SMM and GWL. However, the response to land cover varies. There is high uncertainty in densely forested areas where the sensors cannot penetrate the canopy. As a result, in its implementation, the SMM can be combined with the vegetation index, which can describe trends of land cover changes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Prayudha2021,

title = {The application of Landsat imageries and mangrove vegetation index for monitoring mangrove community in Segara Anakan Lagoon, Cilacap, Central Java},

author = {B. Prayudha and V. Siregar and Y. I. Ulumuddin and Suyadi and L. B. Prasetyo and S. B. Agus and Suyarso and K. Anggraini},

doi = {10.1088/1755-1315/944/1/012039},

issn = {17551315},

year  = {2021},

date = {2021-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {944},

number = {1},

abstract = {The only place for estuarine-mangroves in Java Island, Segara Anakan Lagoon, experiences the vast decline of mangrove cover. Satellite remote sensing has a critical role in monitoring that change as it allows to record vast areas over time. However, most studies tend to utilize satellite data to investigate the change of mangrove areas into other land-use types rather than identify the mangrove community's shifting. This study utilized the mangrove vegetation index (MVI) for monitoring the changes of mangrove communities at the life-form level using satellite data. The study used multi-temporal Landsat images as it has historical systematic archive data. The threshold value of the index for each class is defined by referring to the field data. The class referred to the life-form classification consisting of mangrove trees, Nypa, and understorey. The image analysis was conducted using Google Earth Engine (GEE), while R software was used for determining threshold values through statistical analysis. The result shows that the MVI can differentiate between some life forms of mangroves, with the overall accuracy reaching 78.79% and a kappa coefficient of 0.729. Further, the multi-temporal maps showed the decline of mangrove tree areas, which the understorey and Nypa community have replaced.},

keywords = {life-form community, mangrove changes, mangrove vegetation index, remote sensing},

pubstate = {published},

tppubtype = {article}

}

@article{Yusuf2021,

title = {Analysing the rate of mangrove forest conversion in South Konawe, Southeast Sulawesi},

author = {Dewi Nurhayati Yusuf and L. B. Prasetyo and C. Kusmana and Machfud and Ritabulan},

doi = {10.1088/1755-1315/886/1/012126},

issn = {17551315},

year  = {2021},

date = {2021-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {886},

number = {1},

abstract = {The degradation of mangrove forests in the Konawe Selatan District has been very rapid over the past three decades. Increases in population growth in coastal areas have been associated with rapid development, including the need for land for housing and livelihood. This development has led to land conversion from mangrove forests to other uses. The aim of the research was to identify the pattern of spatial change of mangrove forests in South Konawe using a geospatial approach from 1984 to 2014. Landuse classification was generated through the processing of Landsat satellite imagery in multiple time series. The research showed that that between 1984 and 1993 in South Konawe District about 9.9% of mangrove forest was converted into open land, 2.3% into aquaculture ponds, and 0.4% into settlements. From 1993 to 2003, the rate of conversion increased rapidly as 13.8% of the remaining mangrove forest was cleared for aquaculture ponds and 1.5% into a settlement. Over the past three decades, 39.9% of mangrove forest in the district has been converted to other uses, and some of this conversion has occurred in protected areas. It's recommended that the stronger enforcement of regulations pertaining to the protection of mangrove forests in South Konawe.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Juniyanti2021,

title = {Powerful actors and their networks in land use contestation for oil palm and industrial tree plantations in Riau},

author = {Lila Juniyanti and Herry Purnomo and Hariadi Kartodihardjo and Lilik Budi Prasetyo and Suryadi and Eko Pambudi},

url = {https://doi.org/10.1016/j.forpol.2021.102512},

doi = {10.1016/j.forpol.2021.102512},

issn = {13899341},

year  = {2021},

date = {2021-01-01},

journal = {Forest Policy and Economics},

volume = {129},

number = {May},

pages = {102512},

publisher = {Elsevier B.V.},

abstract = {Indonesia has experienced one of the world's fastest plantation expansions. Plantation growth is indeed an economic solution to meet the market's needs, but the accompanying environmental damage and social conflict are at odds with sustainability goals. Various actors with interests in land compete with the power they have. The most powerful actors have controlled land use based on their decisions. Accordingly, this paper presents empirical evidence to understand the important role of powerful actors in land-use contestation in oil palm and industrial plantation forests. It focused on analyzing power actors and social networks to help policymakers understand these powerful actors and take steps toward good governance. We conducted a focus group discussion (FGD), field interviews, and observations as well as implemented the actor-centered power (ACP) approach and social networks analysis (SNA). The combination of these two methods aims to improve the ACP approach by explaining how actors form coalitions with one another so that the strongest and most prominent beneficiary actors can be identified. We found that actors at the site level are powerful actors, whereas those with the highest authority in the hierarchy do not have power in land-use control. Village officials are powerful actors, as they are the central figures in the network and mostly use dominant information to weaken other actors. Village officials with strategic positions in the network have the most connections and play a bridging role between actors from different subgroups in the network. Powerful actors who can control the use of natural resources must be involved in determining strategies to improve natural resource governance and implement such a process at the site level.},

keywords = {Interest, Land governance, Patronage, Power analysis, Powerful actor},

pubstate = {published},

tppubtype = {article}

}

@article{Rohman2021,

title = {Predicting spatial distribution of Asian Horned Frog (Megophrys montana Kuhl & Van Hasselt 1882) in Java Island using citizen science's data},

author = {M. Rohman and L. B. Prasetyo and M. D. Kusrini},

doi = {10.1088/1755-1315/771/1/012027},

issn = {17551315},

year  = {2021},

date = {2021-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {771},

number = {1},

abstract = {Citizen science is a tool that has been used globally to gather data on species, recently, this effort is gaining popularity in Indonesia. Asian horned frog (Megophrys montana) is an amphibian endemic to Java with a significant population declining due to forest or habitat losses. The purpose of this study is to analyze the suitability of the habitat and to estimate the potential habitat of Megophrys montana in Java using maximum entropy (maxent). Ninety-four coordinates data from iNaturalist, a citizen science app, were used in modeling along with altitude, slope, rainfall, distance from rivers, Normalized Difference Vegetation Index (NDVI), and land cover categories. Megophrys montana habitat suitability model produced an excellent accuracy with an AUC value of 0.962. Altitude, rainfall, and slope were the most important environmental variables that affect the suitability of the species habitats. The characteristics of Megophrys montana habitat in Java are mountainous forest, wet rainfall, primary or secondary forest with steep slopes, and near to the rivers. West Java and Banten are provinces with the most suitable areas for their habitat, especially within the conservation areas, i.e. Mount Halimun Salak and Mount Gede Pangrango National Park.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Condro2021,

title = {Redistribution of Sumatran orangutan in the Leuser ecosystem due to dispersal constraints and climate change},

author = {A. A. Condro and L. B. Prasetyo and S. B. Rushayati and I. P. Santikayasa and E. Iskandar},

doi = {10.1088/1755-1315/771/1/012006},

issn = {17551315},

year  = {2021},

date = {2021-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {771},

number = {1},

abstract = {Sumatran orangutan (Pongo abelii) is one of the great apes that lives in Asia. The species' population suffered a significant reduction due to altered habitat and climate shifting; thus, this species is critically endangered (CR) based on The International Union for Conservation of Nature (IUCN) red list. Nowadays, the vast majority of the species only occur in the Leuser ecosystem (LE). The population estimation of Sumatran orangutan towards ground-truthing methods still became a challenge to carry out conservation planning; therefore, the ecological niche modeling (ENM) will be a gan excellent alternative to evaluate this species' population dynamics. Here we present the potential distribution changes of the Sumatran orangutan in the LE under mitigation and business as usual (BAU) scenarios of climate change. This study also conducted the effects of environmental constraint (i.e., deforestation and rivers) on the Sumatran orangutan's future dispersal in LE. We collected the Sumatran orangutan occurrences data from the Global Biodiversity Information Facility (GBIF) and literature reviews of orangutan inventory in the Leuser ecosystem. The ENM and dispersal constraints have been conducted using ENMTML and MigClim R package script-codes, respectively. This study provides novel information regarding future orangutan distribution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}