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Journal : ComTech: Computer, Mathematics and Engineering Applications

Implementation of Clustering and Association for Early Warning of Disasters in Bojonegoro Regency Nurdiansyah, Denny; Hayati, Erna; Purnamasari, Ika; Hidayanti, Anna Apriana; Rahayu, Yuliana Fuji
ComTech: Computer, Mathematics and Engineering Applications Vol. 15 No. 2 (2024): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v15i2.11933

Abstract

The research aimed to analyze the relationships between different types of disasters, assess the likelihood of disaster occurrences, and enhance knowledge and understanding of disaster patterns in Bojonegoro Regency. The goal was to enable better disaster prediction and preparedness in the future. The methods applied included mapping, clustering using the K-means algorithm, and association rule mining with the Apriori algorithm. Secondary data were obtained from the National Disaster Management Agency and the Bojonegoro Regency Regional Disaster Management Agency Office, covering eight types of disasters. The results reveal that the K-means model groups the data into 5 clusters from 28 sub-districts in Bojonegoro. There are 13 sub-districts in Cluster 0, 1 sub-district in Cluster 1, 4 sub-districts in Cluster 2, 6 sub-districts in Cluster 3, and 4 sub-districts in Cluster 4. The association rule analysis produces four association rules using a minimum support of 10% and a minimum confidence of 50%. The findings highlight that the Ngasem and Bojonegoro sub-districts require more focused disaster management. The fourth association rule has the highest confidence level at 78.79%, indicating that forest and land fires are likely to follow when drought occurs. The research implies that it can support more targeted disaster management focusing on high-risk sub-districts such as Ngasem and Bojonegoro. The originality of the research lies in its novel application of clustering and association rules to analyze disaster patterns in the region, with implications for more targeted disaster mitigation strategies.
Co-Authors Abdullah Usman Abdullah Usman Abiyyuzaki Syukran Ade Febrian Aeko Fria Utama FR Aeko Fria Utama FR Amrul, Rusli Anas Zaini Anwar Anwar Anwar Anwar Anwar Anwar Arsana, I Nengah Asri Hidayati Asri Hidayati, Asri Astini, Yuli Astuti, Ida Ayu Dwi Indriani Ayu, Candra Baehaki Syakbani Baiq Desthania Prathama Baiq Rika Ayu Febrilia Baiq Rika Ayu Febrilia Baiq Rika Ayu Febrilia Denny Nurdiansyah Dina Apriana Dudi Septiadi Dudi Septiadi Dudi Septiadi Eka Numinda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Eka Nurminda Dewi Mandalika Erna Hayati, Erna Erry Supriyadi Fadli Fadli Fadli Fadli Fadli Fadli Fadli Farah Ainun Jamil Fauzan Fahrussiam Fauzi, Agus Khazin Fauzi, Agus Khazin Khazin Febrilia, Baiq Rika Ayu Fitri, Febti Aulia Hadi, Khaerul Hadi, Muhammad Rizky Halil Hamzah I Gusti Lanang Parta Tanaya I Ketut Budastra I Wayan Sudika Idiatul Fitri Danasari Ika Purnamasari L. Sukardi L. Sukardi Lalu Masyhudi Lalu Mimbar, Lalu Lalu Sukardi M Yusuf M Yusuf M. Yusuf M. Yusuf M. Yusuf Maharsa Pradityatama Mandalika, Eka Nurminda Dewi Maulana, Salman Murod Muhamad Arifulminan Muhammad Nursan Mulyawati, Sri Nabilah, Sharfina Ni Made Nike Zeamita Widiyanthi Ni Made Nike Zeamita Widiyanti Ni Made Wirastika Sari, Ni Made Wirastika Nungki Kartikasari Nuri Muahiddah Nursan, Muhammad Nyoman Ari Sugiharta Octavia, Yusi Faizhatul Pradityatama, Maharsa Pratama, Baiq Desthania Prathama, Baiq Desthania Rabiatun Mardiah Rahayu, Yuliana Fuji Rifani Nur Sindy Setiawan Septiadi, Dudi Setiawan, Rifani Setiawati, Elvina Siska Ita Selvia Sofiati Wardah Sofiati Wardah Sri Mulyawati Sri Mulyawati Suparmin Suparmin Supartiningsih, Sri Suprayanti Martia Dewi Syakbani, Baehaki Syarif Husni Syarif Husni Tanaya, I Gusti Lanang Parta Ulfiyani Asdiansyuri Usman, Abdullah Wardah, Sofiati Widiyanti, Ni Made Nike Zeamita Widiyanti Wirajaya Kusuma Zulkarnaen Zulkarnaen Zulkarnaen