2025
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Fauziah,; Hayati, Nur; Prasetyo, Lilik B Simulation of Land Use and Land Cover of Peatland Bengkalis Using QGIS Journal Article In: JOIV : International Journal on Informatics Visualization , vol. 9, iss. 1, 2025. @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}
}
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 |
Wardani, Tiara P K; Prasetyo, Lilik B; Setiawan, Yudi Analysis of Land Use/Land Cover Changes 2005–2020 Jagorawi Highway Corridor Journal Article In: Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan, vol. 15, iss. 1, 2025, ISSN: 2460-5824. @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}
}
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. |