Abstract:Kabupaten Kendal, Jawa Tengah memiliki riwayat longsor 206 kejadian pada 2010-2020, menyebabkan 41 bangunan rusak dan 28 warga mengungsi. Hal ini menunjukkan bahwa longsor adalah kejadian yang serius dan perlu menjadi perhatian. Peta resmi kerentanan longsor oleh PVMBG dan Badan BPBD Kabupaten Kendal berskala regional perlu pembaruan kelengkapan data dan informasi. Penelitian bertujuan membuat zona potensi longsor untuk rekomendasi perencanaan dan pembangunan. Citra SPOT 6 dan 7 digunakan untuk interpretasi … Show more
“…In this study, the determination of susceptibility level of landslide is based on the research of Dewi, et al (2017) [9]. Dewi, et al combined the weights of landslide parameters from DVMG, BBPLSDP, and PVMBG.…”
Landslide is a geological disaster that is still an interesting topic to study its behavior and its management, especially for tropical climate regions such as Indonesia. One form of landslide countermeasures is the mapping of landslide susceptibility. The most commonly used landslide susceptibility mapping method is the GIS-based weighting and classification method. In the weighting method, each parameter and class has a definite weight as in the reference for making vulnerability maps that have been issued by BBSDLP (Center for Agricultural Land Resources) and PVMBG (Center for Volcanology and Geological Hazard Mitigation). However, the exact weight of each parameter sometimes does not match the real conditions in the field, so many researchers modify it. For this reason, this study tries to present an accuracy comparison of mapping the vulnerability of land motslide with the weighting method and the Analytical Hierarchy Process (AHP) method. The research location is in the Pringapus and East Ungaran areas, Semarang Regency. The results showed that the mapping of landslide susceptibility using the weighting method showed an accuracy of 77.58% while using the AHP method showed better accuracy of 84.48%.
“…In this study, the determination of susceptibility level of landslide is based on the research of Dewi, et al (2017) [9]. Dewi, et al combined the weights of landslide parameters from DVMG, BBPLSDP, and PVMBG.…”
Landslide is a geological disaster that is still an interesting topic to study its behavior and its management, especially for tropical climate regions such as Indonesia. One form of landslide countermeasures is the mapping of landslide susceptibility. The most commonly used landslide susceptibility mapping method is the GIS-based weighting and classification method. In the weighting method, each parameter and class has a definite weight as in the reference for making vulnerability maps that have been issued by BBSDLP (Center for Agricultural Land Resources) and PVMBG (Center for Volcanology and Geological Hazard Mitigation). However, the exact weight of each parameter sometimes does not match the real conditions in the field, so many researchers modify it. For this reason, this study tries to present an accuracy comparison of mapping the vulnerability of land motslide with the weighting method and the Analytical Hierarchy Process (AHP) method. The research location is in the Pringapus and East Ungaran areas, Semarang Regency. The results showed that the mapping of landslide susceptibility using the weighting method showed an accuracy of 77.58% while using the AHP method showed better accuracy of 84.48%.
“…The lithology of andesite and volcanic breccia types of igneous rocks has a moderate category of landslide vulnerability. The lithology of sand, clay, and cracal deposits (alluvium type) have a low vulnerability category (early age) (Yogiswara et al, 2020). The types of rocks found in Gunungpati District are (sedimentary rocks) including the kalibeng formation (Tmkb) and kerek formations (Tmk), (igneous rocks) including damar (Qtd) and jongkong (Qpj) formations, elephantmungkur volcanic rocks (Qhg) and kaligesik (Qpk), as well as the type (alluvium deposits) in the form of alluvial formations (Qa).…”
Section: Geological Formationmentioning
confidence: 99%
“…. Bare land (without vegetation) is determined to have the highest score for landslide vulnerability, residential land, and vegetation land for both gardens and paddy fields in the moderate to moderate category, and the lowest vulnerability includes areas in the form of a body of water such as rivers and reservoirs(Buchori & Susilo, 2012;Yogiswara et al, 2020). The highest score in this analysis was determined by referencingBuchori & Susilo (2012).…”
The City Regional Spatial Plan (RTRW) for Semarang City stipulates that Gunungpati District has a role in developing residential cultivation areas with the determination of several protected area types as well as functioning as a strategic environmental carrying capacity area for the city. Based on Semarang City BPBD, 29 landslides occurred between 2016-2021, which damaged houses, facilities, and residential infrastructure. This study aims to produce spatial mapping for residential area designations through the calculation of its carrying capacity so as to obtain the carrying capacity value or classification of the ability of each village area to accommodate the number of residents. This can then be used as one of the basic considerations in determining the development of residential areas in Gunungpati District. This study uses the quantitative method to determine the residential land's carrying capacity through spatial mapping data processing based on geographic information systems (GIS) using scoring, weighting, and overlay techniques. The spatial mapping produces a landslide vulnerability map with vulnerability classifications covering very low (1.468,17 Ha) to very vulnerable (466.53 Ha) classes as well as cultivation function, buffer, and protected areas distribution in Gunungpati District. The final results show that each region can accommodate the population increase of each village in Gunungpati District, with Jatirejo Village scoring the highest in DDPm value (26.9) and Sukorejo Village scoring the lowest (5.7).
Keywords: Landslides, carrying capacity, settlement
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