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All Journal SMATIKA KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Informatika Terpadu Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Ilmu Komputer Ruru
Ruli Herdiana
STMIK IKMI Cirebon
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer

 1 
PENGELOMPOKAN DAERAH BENCANA ALAM MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Isni Rinjani; Saeful Anwar; Ruli Herdiana
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2023): Maret : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i1.417

Abstract

Natural disasters are events that significantly affect the human population. Landslides, earthquakes, floods, fires, droughts, earthquakes and other natural disasters often occur in West Java Province. Information and technology skills are developing quite fast nowadays. Thanks to modern technology, anyone can access and obtain information without restrictions. Information is very important for every aspect of life. One of them is information about natural disasters, because disaster management needs this kind of information. Data mining is a popular method for analyzing disaster data because it is considered a potential answer to disaster management challenges. Therefore, this study discusses the grouping of natural disaster areas for prediction of natural disaster areas in West Java with data mining techniques using the k-means clustering algorithm. The results of the study obtained 3 clusters including low clusters, medium clusters, and high clusters. The selected research source comes from the official website, namely West Java Open Data. The results of this research are expected to provide useful information in determining solutions to natural disaster management problems
Co-Authors Abdul Rasyid Faiq Adinata Cep Lukman Rohmat Chaidir Ali Iin Irma Sumiati Isni Rinjani Muhamad Sulaiman Muhammad Harun Al- Musa Narasati, Riri Narasati Nisa Dieanwati Nuris Nova Novitasari Odi Nurdiawan Rahayu Arumsari Riandy Yudistira Saeful Anwar Saeful Anwar Sandy Eka Permana Umi Hayati