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All Journal Berkala Fisika Indonesia : Jurnal Ilmiah Fisika, Pembelajaran dan Aplikasinya JINOP (Jurnal Inovasi Pembelajaran) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Physics: Theories and Applications Krea-TIF: Jurnal Teknik Informatika Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Novel Engineering Science and Technology
Sabarudin Saputra
IKIP MUHAMMADIYAH MAUMERE
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

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Journal : Journal of Physics: Theories and Applications

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Analysis of Earthquake Activity in Indonesia by Clustering Method Adi Jufriansah; Yudhiakto Pramudya; Azmi Khusnani; Sabarudin Saputra
Journal of Physics: Theories and Applications Vol 5, No 2 (2021): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v5i2.59133

Abstract

Indonesia is an area where three large tectonic plates meet, namely the Indo-Australian, Eurasian and Pacific plates, so that Indonesia is included in the earthquake-prone category, with 11,660 earthquake vibrations identified in the Meteorology, Climatology and Geophysics Agency (BMKG) database in 2019 The purpose of this study is to develop a classification of the distribution of earthquakes in Indonesia in 2019 based on the values of magnitude, depth, and position. This research was conducted by using the clustering method based on the K-means algorithm and the DBSCAN algorithm as a comparison. The results of the clustering show that the earthquake data analysis using the K-Means algorithm is superior with a silhouette index value of 0.837, while the DBSCAN algorithm has a silhouette index value of 0.730.
Co-Authors Aang Anwarudin Adi Jufriansah Anton Yudhana Azmi Khusnani Fitrah Juliansyah hikmatiar, hamzarudin Kristina Theresia Leto Nurfitriah Safrudin Nursina Sya'bania Rezki Ramdhani Rusydi Umar Tanti Diyah Rahmawati Yudhiakto Pramudya