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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

Pengelompokan Dampak Gempa Bumi Dan Kerusakan Pada Wilayah Berpotensi Gempa Di Provinsi Sumatra Barat: Indonsesia Ipin Sugiyarto; Rama Irawan; Didi Rosiyadi
Journal of Students‘ Research in Computer Science Vol. 2 No. 2 (2021): November 2021
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.076 KB) | DOI: 10.31599/jsrcs.v2i2.850

Abstract

Earthquake disaster data represent knowledge from the West Sumatra Province, data taken from the official website of the National Disaster Management Agency that occurred in the period 2001 to 2018. Clustering data mining techniques are used to determine the earthquake impact area using Knowledge Discovery Data. Mining Method (KDD) consisting of Domain Understanding, Additional Selection (Data Selection), Preprocessing (Data Cleaning, Data Sampling), Transformation (Data Normalization), Data Mining (K-means & Linear Regression), Evaluation and Interpretation (cluster & Prediction). The results showed that the use of the K-Means method resulted in 3 clusters with the largest earthquake impact in the city of Padang in 2009, while the use of Linear Regression estimates the impact of victims and damage to facilities and units that often occur in earthquake locations. The purpose of the research is to implement and categorize and predict to find out the results of the impact and damage of the earthquake that occurred in the province of West Sumatra.   Keywords: Clustering, Data mining, Earthquakes, K-Means, Linear Regression.   Abstrak   Data bencana gempa bumi mewakili pengetahuan dari wilayah Provinsi Sumatera Barat, data diambil dari situs resmi Badan Nasional Penanggulangan Bencana yang terjadi pada periode 2001 hingga 2018. Teknik penambangan data klastering digunakan untuk menentukan daerah dampak gempa menggunakan Pengetahuan Discovery Data. Metode Penambangan (KDD) yang terdiri dari Pemahaman Domain, Seleksi tambahan (Seleksi Data), Preprocesing (Pembersihan Data, Pengambilan Sampel Data), Transformasi (Normalisasi Data), Penambangan Data (K-means & Linear Regresi), Evaluasi dan Interpretasi (klaster & Prediksi). Hasil penelitian membuktikan bahwa penggunaan metode K-Means menghasilkan 3 klaster dengan dampak gempa paling besar di kota Padang pada tahun 2009, sedangkan penggunaan Liniear Regresi memperkirakan dampak korban dan kerusakan pada fasilitas dan unit yang sering terjadi di lokasi gempa. Tujuan penelitian mengimplementasikan dan mengkategorikan dan memprediksi untuk mengetahui hasil dampak dan kerusakan gempa yang terjadi di provinsi Sumatera Barat.   Kata kunci: Data mining, Gempa Bumi, Klastering, K-Means, Linier Regresi.
Pengelompokan Dampak Gempa Bumi dan Kerusakan Pada Wilayah Berpotensi Gempa di Provinsi Sumatera Barat Sugiyarto, Ipin; Irawan, Rama; Rosiyadi, Didi
Journal of Students‘ Research in Computer Science Vol. 2 No. 2 (2021): November 2021
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/81fwpe68

Abstract

Earthquake disaster data represent knowledge from the West Sumatra Province, data taken from the official website of the National Disaster Management Agency that occurred in the period 2001 to 2018. Clustering data mining techniques are used to determine the earthquake impact area using Knowledge Discovery Data. Mining Method (KDD) consisting of Domain Understanding, Additional Selection (Data Selection), Preprocessing (Data Cleaning, Data Sampling), Transformation (Data Normalization), Data Mining (K-means & Linear Regression), Evaluation and Interpretation (cluster & Prediction). The results showed that the use of the K-Means method resulted in 3 clusters with the largest earthquake impact in the city of Padang in 2009, while the use of Linear Regression estimates the impact of victims and damage to facilities and units that often occur in earthquake locations. The purpose of the research is to implement and categorize and predict to find out the results of the impact and damage of the earthquake that occurred in the province of West Sumatra.
Co-Authors -, Cucu Abdul Mahatir Najar Abdullah, Ifnu Abdul Aziz Ade Cahyana Adiwijaya Adnyana, I Ketut Widhi Agus Indra Jaya Agus Salim Akbari Basuki Akbari Indra Basuki Alvi Alvi Aridarma, Dedi Bambang Joko Triwibowo Basuki, Akbari Indra Bobby Suryo Prakoso Bobby Suryo Prakoso Cahya, El Rangga Un Chandra Nugraha Chandra Nugraha, Chandra Cucu Cucu Daniati Uki Eka Saputri Dedi Ariadarma Dedi Aridarma Deni Rusdiaman Dwi, F Lia Dwiza Riana Eko Arif Riyanto, Eko Arif Eko Saputro Endang Sri P Fajar Pramono Fajar Priyono Fariszal Nova Arviantino Fauzi, Fariz Furqon Hensan Muttaqien Hadi Susanto Harianto Harianto Heru Sukma Utama Heru Sukma Utama Heru Susanto Horng, Shi Jinn Husain, Syepry Maulana Ifnu Abdul Aziz abdullah Imam Amirulloh Ipin Sugiyarto Iqbal Dzulfiqar I Irawan, Rama Irwansyah Saputra Iwan Setiawan Iwan Setiawan Jamil, Muh. Juninisvianty, Tri Kurniawan W. Handito Kurniawan, Rohim Kusnadi - Kusnadi Muh. Jamil Muhammad Syahrani Mulyanto, Yudi Nana Suryana Nana Suryana Nana Suryana nanang ruhyana Nila Hardi Nuryani Nuryani Prakoso, Bobby Suryo Prasetyo, Heri Putra, Yeffry Handoko Qhomar, Mohammad Arifin Nurul Qurrota Ayun Hariyanto Putra RACHMAT HIDAYAT Rama Irawan Riski Annisa Salim, Taufik Ibnu Salsabila, Unik Hanifah Saputra, Surya Fajar Seimahuira, Syarah Sidiq, Muhammad Fajar Sriyadi Sriyadi Sugiyarto, Ipin Surti Kanti Surya Fajar Saputra Sutiyono Sutiyono Suwanda Aditya Aaputra Taufik Iqbal Ramdhani Tiska Pattiasina Utama, Heru Sukma Windu Gata Yeffry Handoko Putra Yusnan Hasani Siregar Yusuf Arif Setiawan Zulfikar Fauzi