Toward Effective Disaster Management and Urban Planning: A GIS-Based Spatial Analysis of Historical Disaster Data in Malang Municipality
DOI:
https://doi.org/10.58411/5vs2ce56Keywords:
Spatial Analysis, Disaster, GIS, Malang MunicipalityAbstract
The provision of data and information today is essential not only for generating statistical figures but also for supporting decision- making based on in-depth analysis. In the context of disaster management, spatial data plays a crucial role in identifying the distribution, characteristics, and patterns of affected areas. This research aims to analyze the historical records of disaster events in Malang Municipality spatially using a Geographic Information System (GIS). The data used consists of disaster incidents from 2020 to 2024, which were processed into spatial format and analyzed through spatial join functions to generate distribution maps and frequency summaries by administrative region. The results show that Klojen District recorded the highest number of disaster events with 360 incidents (169 floods, 123 extreme weather events, and 68 landslides). The distribution patterns indicate that floods are scattered randomly, landslides are concentrated along rivers and slopes, while extreme weather events show both linear patterns along roads with dense vegetation and random patterns in residential areas due to the dynamic nature of wind. These findings highlight the importance of preparedness and spatially-based mitigation strategies that consider the characteristics of the affected areas and historical disaster data.
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Alkaesi, F. (2020). Analisis spasial kerawanan bencana hidrometeorologi di Kabupaten Bogor [Tesis, Program Studi Manajemen Lingkungan, Sekolah Pascasarjana, Universitas Pakuan]. Universitas Pakuan. https://lib-pasca.unpak.ac.id/index.php?id=14197
Angriani, F. dan Kumalawati, R. (2016). Pemetaan Bahaya Banjir Kabupaten Hulu Sungai Tengah Provinsi Kalimantan Selatan. SPATIAL. 16(2), pp. 21–26.
Azzam, Tarek & David Robinson. (2013). GIS in Evaluation: Utilizing the Power of Geographic Information Systems to Represent Evaluation Data. SAGE Publications Volume 34, Issue 2. https://doi.org/10.1177/1098214012461710.
Badan Meteorologi, Klimatologi, dan Geofisika. (2023a). Buletin Iklim Wilayah Jawa Timur: Dinamika Atmosfer dan Curah Hujan Ekstrem Tahun 2020–2023. BMKG Stasiun Klimatologi Karangploso.
Badan Meteorologi, Klimatologi, dan Geofisika. (2023b). Catatan Iklim Tahunan 2022–2023: Analisis Curah Hujan dan Cuaca Ekstrem di Indonesia [Annual Climate Report 2022–2023: Rainfall and Extreme Weather Analysis in Indonesia]. Badan Meteorologi, Klimatologi, dan Geofisika (BMKG).
Badan Meteorologi, Klimatologi, dan Geofisika. (2024). Infographic: Analysis of Extreme Rainfall Events in 2024 (East Java Regional Climate Center). Retrieved from https://staklim- jatim.bmkg.go.id/index.php/profil/meteorologi/list-of-all-tags/infografis-dasarian- analisis-kejadian-hujan-ekstrem-tahun-2024
Badan Nasional Penanggulangan Bencana. (2012). Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 02 Tahun 2012 tentang Pedoman Umum Pengkajian Risiko Bencana. Jakarta: Badan Nasional Penanggulangan Bencana.
Badan Nasional Penanggulangan Bencana. (2017). Buku Saku Tanggap Tangkas Tangguh menghadapi Bencana. Jakarta: Badan Nasional Penanggulangan Bencana.
Badan Nasional Penanggulangan Bencana. (2023a). Indonesian disaster risk (RBI risiko bencana Indonesia) (Vol. 1). Badan Nasional Penanggulangan Bencana.
Badan Nasional Penanggulangan Bencana. (2023b). Petunjuk pelaksanaan standar data kejadian dan dampak bencana (Peraturan Kepala BNPB Nomor 7 Tahun 2023) [Implementation guidelines for the standard of disaster event and impact data (Regulation No. 7 of 2023)]. https://data.bnpb.go.id/dataset/juklak-standar-data-kejadian-dan-dampak-bencana.
Badan Nasional Penanggulangan Bencana. (2024). IRBI Indeks Risiko Bencana Indonesia Tahun 2024. Jakarta: Badan Nasional Penanggulangan Bencana. ISSN 2985-6922.
Badan Pusat Statistik Kota Malang. (2024). Kota Malang dalam Angka 2025. Kota Malang: BPS Kota Malang.
British Geological Survey. (2011). Landslide assessment. Natural Environment Research Council.
Geo Reports. Mam Tor Derbyshire UK.
Budiyanto, D., Trisya Septiana, & Mona Arif Muda. (2020). Pemanfaatan Analisis Spasial untuk Pemetaan Risiko Bencana Alam Tsunami Menggunakan Pengolahan Data Spasial Sistem Informasi Geografis (Studi Kasus: Di Pesisir Lampung Selatan, Provinsi Lampung). Banjarmasin: Jurnal KLIK ULM Vol 7, No 2. http://dx.doi.org/10.20527/klik.v7i2.324
Couture R., (2011). Landslide Terminology Nationanal Technical Guidelines and Best Practices on Landslides. Geological Survey of Canada Open File 6824, 12p
CV Citiplan. (2024). Laporan akhir penyusunan profil kerawanan bencana per-kelurahan se-Kota Malang (SPM sub urusan bencana). Pemerintah Kota Malang.
Delaforce, Wayne, Rich, Bruce, Savage, Bernadette, Adkins, Barbara, Hall, Carly, & Caldeweyher, Daniel. (2005). GIS as a Tool for Decision Making and Evaluation. In Bailey, C & Barnett, K (Eds.). Social Change in the 21st Century Conference Proceedings, 2005. Australia: Queensland University of Technology, pp. 1-14.
England, T. G. (2024, January 9). Using GIS to enhance decision-making. ME&A Corporate Headquarters. https://www.meandahq.com/using-gis-to-enhance-decision-making/
Government of Indonesia. (2007). Law of the Republic of Indonesia Number 24 of 2007 concerning disaster management. Sekretariat Negara.
Government of Indonesia. (2020). Presidential Regulation of the Republic of Indonesia Number 18 of 2020 concerning the National Medium-Term Development Plan 2020–2024. https://peraturan.bpk.go.id/Details/135375/perpres-no-18-tahun-2020
Government of Indonesia. (2025). Presidential Regulation of the Republic of Indonesia Number 12 of 2025 concerning the National Medium-Term Development Plan 2025–2029. https://peraturan.bpk.go.id/Details/314638/perpres-no-12-tahun-2025
Harahap, W. N., Yuniasih, B., & Gunawan, S. (2023). Dampak La Niña 2021–2022 terhadap peningkatan curah hujan. AGROISTA: Jurnal Agroteknologi, 7(1), 26–32. https://doi.org/10.55180/agi.v7i1.364
Haryani, N. S., dan Zubaidah, A. (2012). Dinamika Siklon Tropis di Asia Tenggara menggunakan Data Penginderaan Jauh. 324: 54-58.
Intergovernmental Panel on Climate Change. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press.
Jazuli, A. (2017). Penegakan Hukum Penataan Ruang Dalam Rangka Mewujudkan Pembangunan Berkelanjutan. Jurnal Rechts Vinding: Media Pembinaan Hukum Nasional, 6(2), 263-282. doi: http://dx.doi.org/10.33331/rechtsvinding.v6i2.156
Khaidir, Indra. (2019). Mitigasi Bencana Banjir Untuk Mengurangi Dampak Terhadap Lingkungan dan Kehidupan Sosial Masyarakat. Jurnal Rekayasa, 8(2), pp 154-160.
Kominfo Provinsi Jawa Timur. (2024, January 17). BMKG Juanda: Waspadai Cuaca Ekstrem di Jatim Periode 17–23 Januari 2024 [BMKG Juanda: Beware of Extreme Weather in East Java, January 17–23, 2024]. Retrieved from https://kominfo.jatimprov.go.id/berita/bmkg-juanda-waspadai- cuaca-ekstrim-di-jatim-periode-17-23-januari-2024
Mauliana, Sri M, Muryani Chatarina, Nugraha Setya. (2017). Studi Kerentanan dan Mitigasi Bencana Banjir di Kecamatan Puring Kabupaten Kebumen Tahun 2016. Jurnal GeoEco. 3(2). 157 – 163.
NASA. (2024). 2024 Sets New Global Temperature Record. NASA Climate Change: Vital Signs of the Planet. Retrieved from https://climate.nasa.gov/news/
Noor, M, A. & Utomo, B. (2013). Studi Kapasitas Sungai Riam Kiwa Menggunakan HEC-RAS 4.1.0.
Jurnal Info Teknik. 14(1), pp 81-91
Nurkhalifah, F., Yusup Nur Khakim, M., Affandi, A. K., et al. (2024). Analisis terhadap dinamika curah hujan di Kota Palembang tahun 2019–2023 dan kaitannya dengan fenomena ENSO dan IOD. Jurnal Penelitian Sains, 26(3).
Purwanto. (2019). Geographic information system: Theory and practice with ArcGIS 10 [Sistem informasi geografi: Teori dan praktik dengan ArcGIS 10]. Malang: Baskara Media.
Pusat Vulkanologi dan Mitigasi Bencana Geologi. (2025). Wilayah Potensi Gerakan Tanah Di Provinsi Jawa Timur. Bandung: PVMBG.
Renger R., Cimetta A., Pettrgrove S., Rogan S. (2002). Geographic information systems (GIS) as an evaluation tool. American Journal of Evaluation, 23, 469–479.
Riyadh, Ahmad M., Thomas J. Cova, Simon C. Brewer, Timothy W. Collins, Richard M. Medina, Laura Siebeneck, & Alexander Hohl, (2024). Spatial analysis of disaster resilience research: A bibliometric study. International Journal of Disaster Risk Reduction, Volume 113, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2024.104896.
Simbolangi, L. (2017). Identifikasi Jenis Dan Karakteristik Longsor Di Daerah Aliran Sungai (Das) Lisu Kabupaten Barru. Skripsi Unhas. Makassar.
Soebroto, A. A., Cholissodin, I., Wihandika, R. C., Frestantiya, M. T., & Arief, Z. El. (2015). Prediksi tinggi muka air (TMA) untuk deteksi dini bencana banjir menggunakan SVR-TVIWPSO. Jurnal Teknologi Informasi Dan Ilmu Komputer.
Stock, K., & Guesgen, H. W. (2016). Geospatial reasoning with open data. In R. Layton, P. Watters, &
R. Dazeley (Eds.), Automating open source intelligence: Algorithms for OSINT (pp. 171–204).
Elsevier. https://doi.org/10.1016/B978-0-12-802916-9.00010-5
Sudipa, I Gede Iwan., dkk. (2023). Teknik Visualisasi Data. Jambi: Sonpedia Publishing.
Unwin, David. (2024). Introductory Spatial Analysis. London & New York: Routledge. https://doi.org/10.4324/9781003488354
Utami, N. D. (2019). Kajian Dampak Perubahan Iklim Terhadap Degradasi Tanah. Jurnal Alami, 3(2), 122-131.
Wirjohamidjojo, S. & Swarinoto, Y.S (2013). Iklim Kawasan Indonesia. Jakarta: Badan Meteorologi Klimatologi dan Geofisika.
Wise, S. M. (2014). GIS fundamentals (2nd ed.). Boca Raton: CRC Press. https://doi.org/10.1201/9781315380568
Wiyono, S. (2008). Analisis penyebab tanah longsor di daerah pegunungan. Jurnal Geografi Indonesia, 10(2), 45–56.
Yuniasih, B., Harahap, W. N., & Wardana, D. A. S. (2023). Anomali iklim El Niño dan La Niña di Indonesia pada 2013–2022. AGROISTA: Jurnal Agroteknologi, 6(2), 136–143. https://doi.org/10.55180/agi.v6i2.332
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