Open access Jurnal
Application Of Remote Sensing Technology And Geographic Information Systems For Tsunami Vulnerability Analysis In Mamuju District
APLIKASI TEKNOLOGI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS TINGKAT KERENTANAN TSUNAMI DI KECAMATAN MAMUJU
Zona Laut Jurnal Inovasi Sains Dan Teknologi Kelautan · Vol. ume No. vember (2024) · pp. 244–255
- ISSN
- 2721-5717, 2747-2124
- Published
- 2024-11-27
- Publisher
- Departemen Teknik Kelautan Universitas Hasanuddin
- Language
- en
Abstract
English
This research aims to analyze the vulnerability to tsunami disasters in Mamuju District, West Sulawesi, using remote sensing technology and Geographic Information Systems (GIS). Mamuju District is at high risk of tsunamis due to its coastal location and its position between active tectonic plates. The analysis utilizes five main parameters: elevation, slope gradient, distance from rivers, distance from the coastline, and land cover. The GIS overlay analysis method is applied to map tsunami hazard zones, combining weighting and scoring for each parameter. The results indicate that 3% of the area has very high vulnerability, 7% of the area has high vulnerability, while 82% of the area has low to very low vulnerability. Areas with very high vulnerability include the coastal zone directly adjacent to the shoreline and residential areas. This study is expected to serve as a reference for local governments and disaster management agencies in efforts to mitigate and plan safer spatial arrangements against tsunami threats. Mitigation strategy recommendations include the construction of evacuation routes, safe shelters, and the regular enhancement of disaster education and simulations for the community. Furthermore, this research encourages the use of mountainous areas as primary evacuation zones and collaboration with research institutions for the development of more innovative mitigation technologies.
Bahasa Indonesia
Penelitian ini bertujuan untuk menganalisis kerentanan terhadap bencana tsunami di Kabupaten Mamuju, Sulawesi Barat, dengan menggunakan teknologi penginderaan jauh dan Sistem Informasi Geografis (SIG). Kabupaten Mamuju memiliki risiko tinggi terhadap tsunami karena lokasinya yang berada di wilayah pesisir dan posisinya yang berada di antara lempeng tektonik aktif. Analisis ini menggunakan lima parameter utama: ketinggian, kemiringan lereng, jarak dari sungai, jarak dari garis pantai, dan tutupan lahan. Metode analisis overlay SIG diterapkan untuk memetakan zona bahaya tsunami, dengan mengombinasikan pembobotan dan pemberian skor untuk setiap parameter. Hasil penelitian menunjukkan bahwa 3% wilayah memiliki kerentanan sangat tinggi, 7% wilayah memiliki kerentanan tinggi, sementara 82% wilayah memiliki kerentanan rendah hingga sangat rendah. Wilayah dengan kerentanan sangat tinggi meliputi zona pesisir yang berdekatan langsung dengan garis pantai dan daerah pemukiman. Studi ini diharapkan dapat menjadi acuan bagi pemerintah daerah dan badan penanggulangan bencana dalam upaya mitigasi dan perencanaan tata ruang yang lebih aman terhadap ancaman tsunami. Rekomendasi strategi mitigasi meliputi pembangunan jalur evakuasi, tempat penampungan aman, serta peningkatan edukasi dan simulasi bencana secara berkala bagi masyarakat. Selain itu, penelitian ini mendorong penggunaan wilayah pegunungan sebagai zona evakuasi utama dan kolaborasi dengan lembaga penelitian untuk pengembangan teknologi mitigasi yang lebih inovatif.
Keywords
Collaboration network of the authors
40 authors · 93 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- Universitas Ahmad Dahlan
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Adrian Tawai | Universitas Halu Oleo | 4 |
| Sahiruddin Sahiruddin | Universitas Ahmad Dahlan | 3 |
| La Ode Muhammad Elwan | Universitas Halu Oleo | 3 |
| La Ode Aslim | Universitas Halu Oleo | 3 |
| Ambo Ako | Affiliation unknown | 2 |
| Djoni Prawira Rahardja | Affiliation unknown | 2 |
| Sartono Sartono | Universitas Halu Oleo | 2 |
| Arifin Utha | Universitas Halu Oleo | 2 |
| Nur Fitriani Usdyana Atthamid | Affiliation unknown | 2 |
| Sri Indriati | Affiliation unknown | 2 |
| Abdul Latief Toleng | Affiliation unknown | 2 |
| Sudirman Baco | Affiliation unknown | 2 |
| Lellah Rahim | Affiliation unknown | 2 |
| Zulkharnaim Maupa | Affiliation unknown | 2 |
| Isnawaty Isnawaty | Affiliation unknown | 1 |
| Rahmat Ramadhan | Universitas Halu Oleo | 1 |
| la ode Maksar Muhuruna | Affiliation unknown | 1 |
| Ayi Nur Fauziah | Universitas Halu Oleo | 1 |
| Muhammad Amir | Universitas Halu Oleo | 1 |
| Saidin Saidin | Universitas Halu Oleo | 1 |
| Abdul Latif Toleng | Affiliation unknown | 1 |
| Rika Haryani | Affiliation unknown | 1 |
| mawardi A. Asja Zulkarnaim | Affiliation unknown | 1 |
| Taufik Taufik | Universitas Halu Oleo | 1 |
| Amalan Amalan | Affiliation unknown | 1 |
| Eka Suaib | Universitas Halu Oleo | 1 |
| Amrullah Amrullah | Affiliation unknown | 1 |
| Alim Bahri | Affiliation unknown | 1 |
| Ilham Ilham | Affiliation unknown | 1 |
| Muh Amir | Universitas Halu Oleo | 1 |
| Ratu Khumaerah | Affiliation unknown | 1 |
| La Ode Muhammad Elwan | Affiliation unknown | 1 |
| Fitria Fitria | Affiliation unknown | 1 |
| Syamsul Alam | Affiliation unknown | 1 |
| Cindy Clara Widiani | Affiliation unknown | 1 |
| La Ode Mustafa R | Affiliation unknown | 1 |
| Ely Aulia Desy Purwanto | Affiliation unknown | 1 |
| Salmin Salmin | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.