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ANALISIS SPASIAL PERUBAHAN TUTUPAN LAHAN PASCA KEBAKARAN HUTAN DAN LAHAN DI KABUPATEN MUARO JAMBI Maruddani, Rizki Feroza; Somantri, Lili; Panjaitan, Frandica
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.15

Abstract

Changes in land use and cover play an important role in sustainable natural resource management. Muaro Jambi Regency, which is rich in biodiversity, has ecosystem services for residents in the area, especially plantations which are one of the leading commodities. Forests as the largest land cover in Muaro Jambi Regency have experienced quite rapid changes, especially after forest and land fires occur almost every year. Real-time monitoring and assessment on a spatio-temporal basis is important to determine changes in land cover. This research examines changes in land cover in Sarolangun Regency from Landsat-8 time series images from 2018 to 2023. Land cover is classified into 6 classes using the supervised classification method. The data findings show that forests have experienced a significant decline, while settlements have experienced a very substantial increase. Comprehensive research regarding the vulnerability of periodic land cover changes at local and regional levels must be carried out to maintain sustainable environmental ecosystems.
LANDSLIDE HAZARD MAPPING IN SIBOLANGIT DISTRICT, NORTH SUMATRA PROVINCE USING GEOGRAPHIC INFORMATION SYSTEMS Panjaitan, Frandica; Somantri, Lili; Maruddani, Rizki Feroza; Kartikasari, Ika
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.14

Abstract

The purpose of this study was to find out and describe the use of GIS in mapping the level of landslide vulnerability in Sibolangit District, Deli Serdang Regency, North Sumatra. The model used referred to the estimation of the 2004 Puslittanak, as it utilizes parameters that are easy to measure, widely available, and in accordance with the territory of Indonesia. These parameters include rainfall, rock type, soil type, slope gradient, and land cover.  The research methods used were overlay, scoring, and weighting. In the mapping process, each parameter had a score of classification multiplied by the weight of each parameter, then the results of the multiplication of the scores and weights were summed based on the suitability of their geographical location. The results of the study showed that the Sibolangit District area had the potential for landslides from low, medium to high levels. Based on the landslide disaster prediction model, the study area predominantly fell under the moderate susceptibility class, covering 15 villages. Additionally, 10 villages were identified with low vulnerability level and 5 villages with high vulnerability level. The use of GIS was also used to see the size of each area in Sibolangit District based on the level of vulnerability to landslide disasters. The level of validity of this map is quite good because it uses official data and methods suitable for the territory of Indonesia. Thus, it is accurate enough for the purpose of vulnerability identification and landslide disaster mitigation planning.
LANDSLIDE HAZARD MAPPING IN SIBOLANGIT DISTRICT, NORTH SUMATRA PROVINCE USING GEOGRAPHIC INFORMATION SYSTEMS Panjaitan, Frandica; Somantri, Lili; Maruddani, Rizki Feroza; Kartikasari, Ika
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.14

Abstract

The purpose of this study was to find out and describe the use of GIS in mapping the level of landslide vulnerability in Sibolangit District, Deli Serdang Regency, North Sumatra. The model used referred to the estimation of the 2004 Puslittanak, as it utilizes parameters that are easy to measure, widely available, and in accordance with the territory of Indonesia. These parameters include rainfall, rock type, soil type, slope gradient, and land cover.  The research methods used were overlay, scoring, and weighting. In the mapping process, each parameter had a score of classification multiplied by the weight of each parameter, then the results of the multiplication of the scores and weights were summed based on the suitability of their geographical location. The results of the study showed that the Sibolangit District area had the potential for landslides from low, medium to high levels. Based on the landslide disaster prediction model, the study area predominantly fell under the moderate susceptibility class, covering 15 villages. Additionally, 10 villages were identified with low vulnerability level and 5 villages with high vulnerability level. The use of GIS was also used to see the size of each area in Sibolangit District based on the level of vulnerability to landslide disasters. The level of validity of this map is quite good because it uses official data and methods suitable for the territory of Indonesia. Thus, it is accurate enough for the purpose of vulnerability identification and landslide disaster mitigation planning.