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All Journal Physics Student Journal Rekayasa Mesin Majamecha Jurnal Teknik Informatika C.I.T. Medicom International Journal of Science, Engineering and Information Technology Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi JURNAL PERMADI: PERANCANGAN, MANUFAKTUR, MATERIAL DAN ENERGI JASTEN (Jurnal Aplikasi Sains Teknologi Nasional Jurnal Pengabdian Masyarakat Bangsa Inovasi Jurnal Pengabdian Masyarakat (IJPM) Jurnal Teknik Mesin Jurnal Pengabdian Kepada Masyarakat
Zulfa Khalida
Politeknik Negeri Malang
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Journal : Jurnal Teknik Informatika C.I.T. Medicom

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Classification of restrictions on community activities level in the covid-19 pandemic using fuzzy logic Abidatul Izzah; Ratna Widyastuti; Zulfa Khalida
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 2 (2023): May: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol15.2023.454.pp108-117

Abstract

Indonesia is facing a second wave of Covid-19 cases in mid-2021. In that time, the increase reached 381 percent or almost 5 times. Therefore, the government announced the Enforcement of Restrictions on Community Activities. This is determined by the government for each city in Indonesia so it cannot be predicted by the general public. Actually,  The Restrictions on Community Activities status level determines the risk of a region's economic activities. Therefore, we need a method that can help to categorize the level of PPKM in an area based on available daily data. Thus, this study aims to create a rule model based on Fuzzy Tsukamoto logic that can help determine the level of risk of an area. Based on data on Covid-19 patients in Malang District, East Java has formed 6 fuzzy variables, each of which has 4 fuzzy sets, and 15 rules that can be used as a classification model. From the results, we obtained an accuracy value of 80%. This shows that the generated rule can properly classify the daily Covid-19 data to then estimate the next restrictions level.
Co-Authors Abidatul Izzah Candra Dewi, Kartika Chandra, Kartika Devina Rosa Hendarti Devina Rosa Hendarti Ellya Nurfarida Fadhil, Muhammad Faris Hadi Rahmad Halimi, Ahmad Dzulfikri Jannatul Wahidah, Nurul Kunti Eliyen Luluk Fajria Maulida Maulana Junianto Maulina, Rufidah Muhammad Yunus Musyarrofah, Siti Mutiara Bahtiar, Ahmad Dony Puspa Dewi, Yulia Puspa, Yulia Putranti, Eti Rahayu Mekar Bisono Rahmad, Hadi Ratna Widyastuti Saiful Arif Saiful Arif Sary, Raida Athaya Setiawan, Muhammad Irwan Siti Nurhidayati Sukir Maryanto Taufan Surana, Taufan Ulfah, Gusti Viana Fadhina Yohan Bakhtiar Yusfiansyah, Fahmi Nurdin