Segmentasi Wilayah Terdampak Bencana Berdasarkan Fitur Geo-Posisi
DOI:
https://doi.org/10.25126/jtiik.1148557Kata Kunci:
BMKG, BNPB, Disaster, Geo-position, Haversine Formula, SegmentationAbstrak
Penelitian ini memperkenalkan prototipe aplikasi segmentasi wilayah terdampak bencana (DAS-Apps) untuk melakukan segmentasi wilayah terdampak bencana berdasarkan fitur latitude dan longitude (geo-posisi). Aplikasi ini berfungsi untuk menyeleksi informasi bencana dari media sosial, data resmi pemerintah dari Badan Nasional Penanggulangan Bencana (BNPB), dan informasi bencana yang dikirimkan melalui DAS-Apps secara real-time. Daerah terdampak dipetakan berdasarkan data geo-posisi kemudian dihitung menggunakan metode Haversine Formula untuk menunjukkan peristiwa bencana terjadi dan seberapa jauh jangkauan bencana dirasakan. Pada penelitian ini, simulasi DAS-Apps dilakukan menggunakan dataset gempa (M ≥ 5.0) yang berasal dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) pada rentang bulan November dan Desember 2022 khusunya data bencana gempa bumi untuk wilayah Cianjur, Indonesia. Hasil pengujian menunjukkan bahwa prototipe DAS-Apps dapat melakukan proses segmentasi wilayah berdasarkan radius geo-posisi dari titik informasi bencana sehingga dapat diimplementasikan untuk untuk framework aplikasi tanggap darurat dan manajemen bencana pada penelitian selanjutnya.
Abstract
This research introduces a prototype Disaster-affected Area Segmentation Application (DAS-Apps) designed to perform segmentation of disaster-affected areas based on latitude and longitude features (geo-positioning). The application functions to filter disaster information from social media, official government data from Badan Nasional Penanggulangan Bencana (BNPB), and disaster information submitted in real-time through DAS-Apps. The affected areas are mapped based on geo-positioning data, and then calculated using the Haversine Formula method to indicate when and how far-reaching the disaster events are perceived. In this study, DAS-Apps simulations were conducted using earthquake datasets (magnitude ≥ 5.0) from the Meteorology, Climatology, and Geophysics Agency (BMKG) during the months of November and December 2022, specifically earthquake data for the Cianjur region, Indonesia. The test results indicate that the DAS-Apps prototype can successfully carry out the area segmentation process based on the geo-positioning radius from the disaster information point, making it suitable for implementation in emergency response and disaster management application frameworks in future research.
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