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All Journal Eduma : Mathematics Education Learning and Teaching Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Faktor Exacta Jurnal SOLMA Formatif: Jurnal Ilmiah Pendidikan MIPA Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Inovasi Penelitian RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Rekayasa Komputasi Terapan Kapas: Kumpulan Artikel Pengabdian Masyarakat Jurnal Riset Rumpun Ilmu Pendidikan (JURRIPEN) Prosiding Seminar Nasional Unimus Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Nurfidah Dwitiyanti
Universitas Indraprasta PGRI
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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Journal : RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI

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Algoritma K-Means untuk Mengelompokkan Hotel di Sekitar Wilayah Indonesia yang Rentan Gempa Bumi Nurfidah Dwitiyanti; Erlin Windia Ambarsari; Noni Selvia
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 2 (2023): RESOLUSI November 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i1.1477

Abstract

Due to its location on the Pacific Ring of Fire, Indonesia frequently experiences earthquakes. This phenomenon endangers society and infrastructure, including the hotel industry. Hotels are placed based on locations around areas of Indonesia vulnerable to earthquakes so that hotel owners can use hotel designs and construction that are earthquake-resistant when built. This is because areas with high earthquakes increase the risk of damage to hotel buildings. This research uses hotel geographic location data and Indonesian seismic data to classify hotels in earthquake-prone regions of Indonesia using the K-Means algorithm. Data was taken from USGS from January 2022 to November 2023. Using the K-Means algorithm, hotels were aggregated into clusters based on their proximity to the earthquake epicenter and recorded earthquake magnitude. The research results show that there are two ideal clusters based on the highest Shilhoutte value, namely 0.954, which means it can be sent into two different clusters based on latitude, longitude, and hotel address, with four hotels and three hotels as members of each cluster. Hotels Mutiara, Saparua, and Tiara have a higher level of vulnerability than other hotels because they are located near the earthquake. This research can help hotel owners and policymakers create strategies to reduce risk, increase safety, and develop sustainability in earthquake-prone regions.
Co-Authors Ahmad Suryadi, Ahmad Akbar, Nando Ghafiqi Andri Rahadyan Aniah Wulandari ARIF, SUTAN MOHAMMAD Azizah, Vivi Dewanto, Paksi Ilham Dian Novita Ek Ajeng Rahmi Pinahayu Endaryono Endaryono Endaryono Endaryono Erlin Windia Ambarsari Farhan Jazmi Finata Rastic Andrari Fita Widiyatun Fita Widiyatun Heri Satria Setiawan Indra Kurniawan Ismunandar, Ahmad Riza Noer Maria Usava Mei Lestari, Mei Mercy Hermawati Millati Izzatillah Mulyaningsih, Neng Nenden Nilma, Nilma Noni Selvia Nunu Kustian Pradipta, Yudistira Angga Prasetyo, Helmi Budi Pratama, Setiawan Putra Puji Suharmanto Puji Suharmanto Rahmadhan, Farhan Fadliansyah Rahman Abdilah Rakha, Muhammad Ria Asep Sumarni, Ria Asep Rifki Ristiawan Ristiawan, Rifki Rosselin Rosselin Selvia, Noni Septian Wulandari Shinta Dwi Handayani Siti Ayu Kumala Siti Ayu Kumala Sri Melati Sagita Suti Alawiyah Thomas Afrizal Thomas Afrizal, Thomas Tri Yani Akhirina Vikri Ferdiansyah Yoga, Karinsa Sandi Yuliani, Anisa