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PEMANFAATAN ANALISIS SPASIAL UNTUK PEMETAAN RISIKO BENCANA ALAM TSUNAMI MENGGUNAKAN PENGOLAHAN DATA SPASIAL SISTEM INFORMASI GEOGRAFIS Deny Budiyanto; Trisya Septiana; Mona Arif Muda
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 2 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i2.324

Abstract

Lampung Province, which is located in the southernmost region of the island of Sumatra, is also a disaster-prone region, such as the tsunami and eruption of Mount Anak Krakatau that occurred in 2018 which resulted in casualties and property losses, because Lampung Province is an area with a dense population. One of the disasters that threatened the Lampung province was the Tsunami. The threat occurs because Lampung Province is located in an area bordering the Sunda Strait, and the Indian Ocean so there is a potential for disaster in this region. The purpose of this study is to carry out a part of disaster mitigation namely disaster risk analysis using Geographic Information Systems (GIS). The mapping of tsunami risk level was made in the form of tsunami disaster-prone zones and evacuation routes, and this mapping has been carried out in the coastal area of South Lampung, Lampung Province.Keywords : Information Systems, GIS, Sumatra, South Lampung Provinsi Lampung yang terletak diwilayah paling selatan pulau Sumatera juga  merupakan daerah yang rentan bencana, seperti kejadian tsunami dan erupsi gunung anak Krakatau yang terjadi pada 2018 yang mengakibatkan korban jiwa dan kerugian harta benda, Karena Provinsi Lampung adalah wilayah dengan jumlah penduduk yang padat. Salah satu bencana yang mengancam provinsi lampung adalah Tsunami. Ancaman terjadi karena Provinsi Lampung terletak di wilayah yang berbatasan dengan Selat Sunda, dan Samudra Hindia sehingga ada potensi bencana di wilayah ini. Tujuan dari penelitian ini adalah melakukan bagian mitigasi bencana yaitu analisis resiko bencana dengan menggunakan Sistem Informasi Geografis (SIG). Pemetaan tingkat resiko tsunami ini dibuat dalam bentuk zona-zona rawan bencana tsunami serta jalur evakuasi, dan pemetaan ini telah dilakukan pada daerah pesisir Lampung Selatan, Provinsi Lampung.Kata kunci : Sistem Informasi, SIG, Sumatera, Lampung Selatan
Robust Biplot Analysis of Natural Disasters in Indonesia from 2019 To 2021 Hilda Venelia; Khoirin Nisa; Rizki Agung Wibowo; Mona Arif Muda
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 13 No 2 (2021): Journal of Statistical Application and Computational Statistics
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v13i2.349

Abstract

Indonesia is one of the most natural disaster-prone countries in the world, frequently exposed to a range of hazards. Currently, Indonesia has 34 provinces and natural disasters that occur in each province are different, therefore it is necessary to analyze the mapping of natural disasters that often occur in each province to provide scientific analysis for risk management of the natural disasters. One of the quick steps in describing data that can be used is biplot analysis, as biplot analysis can describe a lot of data then summarized it into the form of a two-dimensional graph. The aim of this research is to map 34 provinces in Indonesia based on the incidence of natural disasters from 2019 to 2021 using robust biplot analysis. Based on the result, robust biplot analysis can explain 87,9% of the information on natural disasters in every province in Indonesia. Lampung, Bengkulu, Bangka Belitung, Special Region of Yogyakarta, North Sulawesi, West Sulawesi, Southeast Sulawesi, Gorontalo, East Nusa Tenggara, Bali, Maluku, West Maluku, Papua, and West Papua are provinces that have similar natural disaster characteristics. Flood, tornado and forest and land fires are natural disasters that often occur in Indonesia. The provinces that have the highest risk of flood, landslide, and tornado were West Java, Central Java, and East Java. Then, the provinces with the highest risk of forest and land fires were Aceh and South Kalimantan.