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All Journal Semantik Techno.Com: Jurnal Teknologi Informasi Prosiding SNATIF Jurnal Transformatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pilar Nusa Mandiri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IKRA-ITH Informatika : Jurnal Komputer dan Informatika Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Literasi Digital Indonesia Prosiding Seminar Riset Mahasiswa
Fahmi Amiq
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro, Semarang 50131
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Scientific Journal of Informatics

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A Clustering Approach for Mapping Dengue Contingency Plan Husna, Farida Amila; Purwitasari, Diana; Sidharta, Bayu Adjie; Sihombing, Drigo Alexander; Fahmi, Amiq; Purnomo, Mauridhi Hery
Scientific Journal of Informatics Vol 9, No 2 (2022): November 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v9i2.36885

Abstract

Purpose: The dengue epidemic has an increasing number of sufferers and spreading areas along with increased mobility and population density. Therefore, it is necessary to control and prevent Dengue Hemorrhagic Fever (DHF) by mapping a DHF contingency plan. However, mapping a dengue contingency plan is not easy because clinical and managerial issues, vector control, preventive measures, and surveillance must be considered. This work introduces a cluster-based dengue contingency planning method by grouping patient cases according to their environment and demographics, then mapping out a plan and selecting the appropriate plan for each area.Methods: We used clustering with silhouette scoring to select features, the best cluster formation, the best clustering method, and cluster severity. Cluster severity is carried out by levelling the attributes of the average value to low, medium, high, and extreme, which are related to the plans each region sets for village type and season type.Result: In five years of data (2016-2020) ±15K cases from Semarang City, Indonesia, feature selection results show that environmental and demography group features have the biggest silhouette score. With these features, it is found that K-Means has a high silhouette score compared to DBSCAN and agglomerative with three optimum numbers of clusters. K-Means also successfully mapped the cluster severity and assigned the cluster to a suitable contingency policy.Novelty: Most of the research on DHF cases is about predicting DHF cases and measuring the risk of DHF occurrence. There are not many studies that discuss the policy recommendations for dengue control.
Co-Authors Abdul Rohim Abu Salam Agus Winarno Agus Winarno, Agus Alzami, Farrikh Ardianda Aryo Prakoso Ariel Bagus Nugroho Asih Rohmani, Asih Budi Harjo Budiono Budiono Candra Irawan Catur Supriyanto Diana Purwitasari Edi Faisal Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Fhaldian, Wahyu Fikri Budiman Hadi, Heru Pramono Harun Al Azies Hindarto, Aris Nur Husna, Farida Amila Indra Gamayanto ISWAHYUDI ISWAHYUDI Karis Widyatmoko Kurnia Desita, Raafi Lalang Erawan Lintang Mekar Tanjung Maurensa, Giacinta Mauridhi Hery Purnomo Megantara, Rama Aria Moch. Eko Rustiyono Muhammad Naufal, Muhammad Mulyanto, Edy Muslih Muslih MY. Teguh Sulistyono Nova Rijati Novi Hendriyanto, Novi Pujiono Pujiono Pujiono Pujiono Pujiono Ramadhan Rakhmat Sani Ridha Rahmawati Ridho Pambudi Rizky Adrianto Sasono Wibowo Sidharta, Bayu Adjie Sihombing, Drigo Alexander Sri Winarno Suhariyanto - Suharnawi Suharnawi Suryo Adi Nugroho Tacharri, Chusnuut Tsani, Maulida Aristia Yuventius Tyas Catur Pramudi Zaenal Arifin Zahro, Azzula Cerliana