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Journal : Jurnal Sains dan Teknologi

Pemanfaatan Data Penginderaan Jauh dan Sistim Informasi Geografis Untuk Identifikasi Perkembangan Lahan Terbangun pada Wilayah Rawan Gempa Bumi di Kota Ambon Philia Christi Latue; Heinrich Rakuasa
INSOLOGI: Jurnal Sains dan Teknologi Vol. 2 No. 3 (2023): Juni 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v2i3.1899

Abstract

Earthquakes are natural disasters that often occur in Indonesia, including in Ambon City which is located in an earthquake-prone area. This research aims to identify the development of built-up land in earthquake-prone areas in Ambon City by utilizing remote sensing data and geographic information systems. This research uses data on built-up land in Ambon City in 2019 and 2023 as well as earthquake hazard maps. The results show that built-up land in Ambon City in 2013-2023 experienced a significant increase in area from 4,718.17 ha in 2013 increasing in area in 2023 to 6,762.57 ha. The area of built-up land located in earthquake-prone areas in Ambon City has a relationship that is directly proportional to the year of development of built-up land. So that as the year increases, the area of built-up land located in earthquake-prone areas also increases. The results of this research are expected to serve as a basis for developing policies and mitigation strategies aimed at the sustainability of the Ambon City area amid the existing earthquake threat.
Pemetaan Daerah Potensi Longsor di Kecamatan Leihitu Barat, Kabupaten Maluku Tengah, Menggunakan Metode Slope Morphology (SMORPH) Philia Christi Latue; Daniel Anthoni Sihasale; Heinrich Rakuasa
INSOLOGI: Jurnal Sains dan Teknologi Vol. 2 No. 3 (2023): Juni 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v2i3.1912

Abstract

Landslide prone area mapping is an important step in mitigation and natural disaster management efforts in West Leihitu Sub-district, Central Maluku Regency. This research aims to map landslide prone areas in West Leihitu District, Central Maluku Regency, using Slope Morphology (SMORPH) method. This research uses DEMNAS data. The Slope Morphology (SMORPH) method was used in this research to overlay the slope map and slope shape to produce a map of landslide prone areas in West Leihitu Sub-district. The results showed that very low landslide potential class has an area of 465.40 ha (4.47%), low landslide potential class has an area of 4,232.96 ha or 40.63%, medium landslide potential class has an area of 2,524.30 ha or 24.23% and high landslide potential class has an area of 3196.19 ha or 30.68%. The results of this research are expected to be useful for the government and community in West Leihitu Sub-district, Central Maluku Regency in mitigating landslides in the future.