ANALISIS DAMPAK KERUSAKAN INFRASTRUKTUR AKIBAT LIKUIFAKSI DI PALU

Main Article Content

Sainuddin Sainuddin

Abstract

The objectives of this study was to (1) analyze infrastructure damages (buildings and roads) due to liquefaction based on Open Street Map (OSM) data, (2) analyze spatial distribution patterns of infrastructure damage due to liquefaction, (3) analyze the characteristics of satellite imagery before and after liquefaction based on the time series (sentinel 2) satellite image index. The results showed that the Petobo was the most affected by liquefaction, with a percentage of damage in roads is 83.7% and buildings is 99.68%. Then the results was obtained from the spatial spread analysis of pattern have been analyzed and mapped with the heatmap method and the 100mmx100m grid method. The tendency of the distribution pattern of buildings (Petobo, Balaroa, and Jono Oge) follows the standard distance ellips method, while the distribution of buildings (Lolu) follows the standard distance pattern. Furthermore, the results of the spatial analysis of NDVI satellite images show the colors shading that indicate vegetation or the level of density (greening) on a land where the green color indicates the density on a land. While the results of the spatial analysis of NDWI images explain the distribution of colors that show humidity in a land.

Article Details

How to Cite
SAINUDDIN, Sainuddin. ANALISIS DAMPAK KERUSAKAN INFRASTRUKTUR AKIBAT LIKUIFAKSI DI PALU. Jurnal Azimut, [S.l.], v. 4, n. 2, p. 78-84, dec. 2022. ISSN 2656-5226. Available at: <https://ojs.unitas-pdg.ac.id/index.php/azimut/article/view/839>. Date accessed: 29 mar. 2024. doi: https://doi.org/10.31317/jaz.v4i2.839.
Section
Articles

References

Team, H. O. (2008). Openstreetmap.

Hidayati, I. N. (2017). Pemetaan Lahan Terbangun Perkotaan Menggunakan Pendekatan Ndbi Dan Segmentasi Semi-Automatik. Prosiding Seminar Nasional Feografi Ums.

Kementerian Pekerjaan Umum, Badan Penelitian Dan Pengembangan. (2013). Panduan Praktis Pemeriksaan Kerusakan Bangunan Akibat Gempa Bumi.

Kusumawardani, R., Nugroho, U., & Isnaeni, N. N. (2018). Back Analysis Fenomena Likuifaksi Akibat Gempa Padang 2009 Menggunakan Metode Semi Empiric. Fmipa Unismus.

Mina, E., Indera, R., & Sudirman. (2018). Analisa Potensi Likuifaksi Berdasarkan Data Spt (Studi Kasusproyek Pembangunan Gedung Baru Untirta Sindang Sari). Jurnal Fondasi.

Perdana, A. P. (2011). Pengelolaan Informasi Geospasial Berbasis Gis Open Source. Bogor.

Sukiyah, E. (2017). Sistem Informasi Geografis. Bandung: Unpad Press.

Supartoyo, Sulaiman, C., & Junaedi, D. (2014). Kelas Tektonik Sesar Palu Koro, Sulawesi Tengah. Jurnal Lingkungan Dan Bencana Geologi.

Suseno, A., & T., St, Ssi, Mm, R. A. (2012). Penggunaan Quantum Gis Dalam Sistem Informasi Geografis. Bogor.

Tohari, A., Sugianti, K., Syahbana, J. A., & Soebowo, E. (2015). Kerentanan Likuifaksi Wilayah Kota Banda Aceh Berdasarkan Metode Uji Penetrasi Konus Cone Penetration Test (Cpt)-Based Liquefaction Susceptibility Of Banda Aceh City. Pusat Penelitian Geoteknologi Lipi.

Warman, H., & Jumas, D. Y. (2013). Kajian Potensi Likuifaksi Pasca Gempa Dalam Rangka Mitigasi Bencana Di Padang. Jurnal Rekaya Sipil.