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All Journal Foristek Jurnal Ilmu Komputer dan Informasi Komunikasi Fisika Indonesia Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal ULTIMA InfoSys Jurnal ULTIMATICS CARADDE: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Media Sisfo Jurnal Nasional Komputasi dan Teknologi Informasi ScientiCO : Computer Science and Informatics Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Journal of Business Studies and Management Review Jurnal Pengabdian Masyarakat Pinang Masak Jurnal Penelitian Teknologi Informasi dan Sains SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi International Journal of Economics, Business and Innovation Research
Rizqa Raaiqa Bintana
Universitas Jambi
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Geographic Information System Using Node Combination Based on Dijkstra's Algorithm for Determining the Shortest Tsunami Evacuation Route in Palu Bay: Rancang Bangun Sistem Informasi Geografis Menggunakan Kombinasi Node Berbasis Algoritma Dijkstra Pada Penentuan Jalur Terpendek Evakuasi Tsunami Di Teluk Palu Angreni, Dwi Shinta; Budiman, Wahyu; Anshori, Yusuf; Wirdayanti, Wirdayanti; Bintana, Rizqa Raaiqa
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.455

Abstract

Indonesia, an archipelagic country situated on the Equator and surrounded by the Ring of Fire, is highly susceptible to natural disasters such as tectonic earthquakes and volcanic eruptions. Palu, one of Indonesia's seismically active regions, is traversed by the Palu-Koro Fault, which has the potential to trigger strong earthquakes and tsunamis, as evidenced by the 7.4-magnitude earthquake in September 2018. To mitigate disaster risks, it is crucial to understand community vulnerability and utilize Geographic Information System (GIS) technology. This study designs a GIS-based system using the modified Dijkstra's Algorithm to determine the shortest tsunami evacuation routes in Palu. Testing results indicate that the system is effective, with a user satisfaction rate of 89.33% and satisfactory route prediction accuracy compared to Google Maps. The system can be relied upon to help communities find the nearest evacuation routes, thereby enhancing safety and preparedness in the face of potential disasters.
Co-Authors Achmad Hizazi Agus Zainal Arifin Arsa, Daniel Aryani, Reni Asyhadi Mufsi Sadzali Benedika Ferdian Hutabarat Budiman, Naufal Budiman, Wahyu Chastine Fatichah Darlis Herumurti Desi Hartati Dewi Lestari Dewi Lestari Dewi Lestari Diana Purwitasari Dwi Kurniawan Dwi Shinta Angreni Fairuz Quzwain Fatoni, Yuda Fitrini Mansur Hadaya, M. Syahan Afdhal Hasbi Adzzikri Iful Amri Jefri Marzal Jesi Pebralia Khaira, Ulfa Makmun Wahid, Makmun Mardhotillah, Bunga Mauladi Mauladi, Mauladi Mochammad Farisi Mohamad Ilhami Multahah, Cut mutia fadhila putri, mutia fadhila Nanang Yuliyapranata Noverina, Yolla Novita Sari Novita Sari Nurhadi, Miranda Sukma Ratri Enggar Pawening Rayandra Asyhar Rustan Salsabila Dwi Fitri Surya Agustian Syamsyida Rozi Teguh Sumarsono Tio Darmawan Ulfa Khaira, Ulfa Utomo, Pradita Eko Prasetyo Wahyu Akbar Sya’bani Wicaksono, Sangaji Widya, Reidila Ariska Wirdayanti Yenny Yuniarti Yolla Noverina Yosep Tri Krisnanto Yuhana, Umi Laili Yundi Fitrah Yurinanda, Sherli Yusuf Anshori Z, Gusmanely Zainil Abidin