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Sihombing, Sagita Charolina
Institut Binsis Dan Teknologi Pelita Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : ComTech: Computer, Mathematics and Engineering Applications

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Implementation of Fuzzy Mamdani Method to Classify Public Health Level in North Sumatra Province Sagita Charolina Sihombing; Agus Dahlia
ComTech: Computer, Mathematics and Engineering Applications Vol. 13 No. 2 (2022): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v13i2.7753

Abstract

Health is one of the most important fields aspects in people’s lives. Public health is influenced by several factors, such as environmental factors and lifestyle. Every year, the government makes a program to improve people’s health and welfare. Therefore, the government needs to obtain information about the classification of public health levels to monitor the progress of the programs that have been carried out. The research created an interface application to classify the level of public health in North Sumatra Province. The research classified the public health level using data from Badan Pusat Statistik (BPS) in 2018. Next, the application was made using the Matlab 2013b GUI. Classification of the level of public health was carried out using the Fuzzy Mamdani method that generated public health classification levels based on the inputted indicators. Then, the level of health classification was divided into four parts: low, lower middle, upper middle, and high. The result shows that for the 2018 data, some cities/ districts are still at low health levels. However, many cities or districts have good health levels. The final result can be used as a reference for the government to analyze which cities/districts should be paid attention to improve their health and welfare.
Co-Authors Agus Dahlia Alyauma Hajjah Apriadi Ramadoni Dahlia, Agus Dina Agnesia Sihombing Ety Septiati Ety Septiati, Ety Jumingin, Jumingin Linda Lia, Linda Marmaini Marmaini Parmin Lumban Toruan Rahmawati, Rahmawati Septiati, Ety Widya Rahmadani