Dinamika Spasial Wilayah Rawan Tsunami di Kecamatan Nusaniwe, Kota Ambon, Provinsi Maluku

  • Philia Christi Latue Departemen Biologi, Fakultas Biologi, Universitas Herzen
  • Heinrich Rakuasa Departemen Geografi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Indonesia
DOI: https://doi.org/10.23960/jgrs.2022.v3i2.98
Keywords: cellular automata-markov chain, dinamika spasial, nusaniwe, tsunami

Abstract

Berdasarkan kondisi geografis Kecamatan Nusaniwe yang merupakan kawasan rawan tsunami, dengan pertumbuhan penduduk yang semakin berkembang, hal ini dapat meningkatkan risiko tsunami sebagai bencana yang sulit diprediksi kedatangannya. Penelitian ini bertujuan untuk menganalisis dinamika spasial wilayah rawan tsunami di Kecamatan Nusaniwe. Penelitian ini menggunakan data tutupan lahan multi temporal, data driving factor perkembangan lahan terbangun, data jarak dari garis pantai, jarak dari sungai, ketinggian lahan dan kemiringan lereng. Metode yang digunakan yaitu cellular automata-markov chain digunakan untuk memodelkan perkembangan lahan terbangun dan metode weighted overlay digunakan untuk mengalisi bahaya tsunami. Hasil pemodelan tutupan lahan tahun 2031 menunjukkan jenis tutupan lahan terbangun terus mengalami peningkatan luas. Tingkat bahaya tsunami di Kecamatan Nusaniwe, didominasi oleh tingkat bahaya sedang dengan luas 2.103,90 ha. Disimpulkan bahwa perkembangan lahan terbangun di kawasan rawan tsunami terus mengalami peningkatan setiap tahunnya. Hasil penelitian ini diharapkan dapat menjadi masukan bagi pemerintah Kota Ambon dalam upaya penataan ruang berbasis mitigasi bencana tsunami ke depannya

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Jurnal Geosains dan Remote Sensing, Geologi, Geofisika, Pengideraan Jauh, Eksplorasi Sumber Daya Alam (Migas, Mineral dan Batubara), Panas Bumi dan Mitigasi Bencana Geologi (Kegunungapian, Gempa dan Tsunami, Longsor, Subsiden
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Published
2022-11-22
How to Cite
Latue, P. C., & Rakuasa, H. (2022). Dinamika Spasial Wilayah Rawan Tsunami di Kecamatan Nusaniwe, Kota Ambon, Provinsi Maluku. Jurnal Geosains Dan Remote Sensing, 3(2), 77-87. https://doi.org/10.23960/jgrs.2022.v3i2.98
Issue
Vol 3 No 2 (2022): JGRS Edisi November
Section
Articles

Copyright (c) 2022 Philia Christi Latue, Heinrich Rakuasa

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