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All Journal ComEngApp : Computer Engineering and Applications Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Ilmiah FIFO Jurnal Pengabdian Pada Masyarakat InComTech: Jurnal Telekomunikasi dan Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) IJISCS (International Journal Of Information System and Computer Science) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Asia International Conference on Industrial Revolution for Polytechnic Education Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Systems Engineering and Information Technology Kapas: Kumpulan Artikel Pengabdian Masyarakat IRA Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Nasional
Yudo Devianto
Universitas Mercu Buana
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Systems Engineering and Information Technology

 1 
Optimization of Flood Prediction using SVM Algorithm to determine Flood Prone Areas Saruni Dwiasnati; Yudo Devianto
Journal of Systems Engineering and Information Technology (JOSEIT) Vol 1 No 2 (2022): September 2022
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.147 KB) | DOI: 10.29207/joseit.v1i2.1995

Abstract

Flooding is one thing that can slow down the economic pace in the affected area. Bandung is called the city of flowers and the city of fashion because the nickname makes Bandung a city with a variety of fashions growing in multiple places as a starting point for the buying and selling process. Not only did Bandung spawn fashions that became hits every year, but it also had many Meccas of traditional food preparation that were extraordinarily unique and interesting. Creating a flood-prone area model can make it easier to provide information for communities in Bandung Prefecture that belong to flood-prone and non-flood-prone areas. The SVM algorithm is a technique that can be used in the case of classification and regression, which is very popular lately. SVM is in a class with Artificial Neural Networks (ANN) in terms of features and conditions of problems that can be solved, and to be able to increase its accuracy it uses what can be optimized with PSO (Particle Swarm Optimization), where the test data is used BNPB official website data, BPS Bandung District and BMKG processed. The accuracy rate generated by using the SVM algorithm is 85.71% and the generated AUC is 0.841, while the accuracy rate generated by using the PSM-based SVM algorithm is 97.62%. and AUC produced at 1,000.
Co-Authors Aditya Wibowo Ahmad Fauzi Andika Bayu Shantya Budi ARIF, SUTAN MOHAMMAD Avrizal, Reza Baihaqi, Kiki Ahmad Bambang Sukowo Bambang Sukowo Corry Coriah Haerudin Dwiasnati, Saruni Dwiki Jatikusumo Eliyani Eliyani Eugenius Kau Suni Fauzi Ahmad Muda Galih Priambodo Galih Priyo Waseso Gugun Gunawan Herry Derajad Wijaya Hidayat, Rahmat Rian Inda Wulan Irawati Khatin Faisah Muhammad Reza Ramdani Nur Septiyani Aglis Paradilla Shabilla Pertiwi, Anggun Popy Yuliarty, Popy Ratna Mutu Manikam Saputra, Dony Ramadhan Sari, Anggi Puspita Sari, Yunita Sartika Saruni Dwiasnati Saruni Dwiasnati Saruni Dwiasnati Saruni Dwiasnati Saruni Dwiasnati Sony Wirdianto Saputra Sukowo, Bambang Sumarto, Marco Alfan Wawan Gunawan Wawan Gunawan Wawan Gunawan