Publikasi

@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{Yunandar2020,

title = {Plankton biodiversity in various typologies of inundation in Paminggir peatland, South Kalimantan, Indonesia on dry season},

author = {Yunandar and Hefni Effendi and Widiatmaka and Yudi Setiawan},

url = {hdx.doi.org/10.13057/biodiv/d210322},

doi = {10.13057/biodiv/d210322},

issn = {2085-4722},

year  = {2020},

date = {2020-03-01},

journal = {Biodiversitas},

volume = {21},

number = {3},

pages = {1012-1019},

abstract = {The aim of the study was to analyze the typology of inundation areas and plankton biodiversity in Paminggir peatland, South Borneo, Indonesia. Typology of inundation was determined by image processing and spatial analysis using supervised classification method from Landsat 1994, 2014, 2019. Plankton biodiversity was determined using purposive sampling in detected inundation from spatial analysis. Some environmental factors like temperature, Ph and DO were also analyzed. Confirmation of the results of spatial analysis of peatland typology made from overall accuracy and Kappa informed 88.48% and 0.8. The typology of permanent inundation decreased by 30% from 1994 to 2019 during the dry period from June to August of the total study area of 43275,584 hectares due to sedimentation, land conversion for settlement, and increase in water weeds. Inundation criteria with duration throughout the year were was categorized as permanent, whereas temporary inundation was tentative even in certain dry season. Plankton index biodiversity in permanent inundation was more varied compared to temporary inundation. Phytoplankton from the freshwater Chrysophyta group was more dominant, while zooplankton from the Nauplius group, which were the natural food for fish larvae always presented in the typology of permanent inundation.},

keywords = {inundation, peatland, plankton, spatial, typology},

pubstate = {published},

tppubtype = {article}

}