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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Mantik INFOKUM Jurnal Info Sains : Informatika dan Sains Jurnal Minfo Polgan (JMP) Journal of Science Technology (JoSTec) Journal of Technology and Computer (JOTECHCOM)
Chairul Imam
Department Of Information Technology, Department Of Informatics Universitas Battuta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences

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Journal : Journal of Science Technology (JoSTec)

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Application of the Fuzzy Logic Method in Determining the Volume of Water Discharge to the Number of Humans Based on a Microcontroller Muhammad Furqon Siregar; Chairul Imam
Journal of Science Technology (JoSTec) Vol. 4 No. 1 (2022): Journal of Science Technology (JoSTec)
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jostec.v4i1.260

Abstract

This research discusses the implementation of fuzzy logic in the design of an automatic water valve system. Fuzzy logic is used to calculate input values to avoid inappropriate power due to excessive sensor input variations. The system performance assessed is the success of the system in regulating the number of people at the capacity of water volume availability. The sensor system detects the number of people entering to determine the capacity according to the given input. The system is designed using an ATmega328 microcontroller. Ultrasonic & PIR sensors are used to predict the number of people passing by the door. To evaluate the performance of the system, the maximum number of 800 people, to avoid system failure. Experiments showed better accuracy in determining the degree of rotation of potentials and relays when the Tsukamoto fuzzy logic model was implemented. The system is more stable and the average value obtained is 34.1%.
Co-Authors Baginda Harahap Fahmi Ruziq Ine Stye Muhammad Furqon Siregar Muhammad Furqon Siregar Nasution, Auliana Rahmad Fadli Sekar AyuPratiwi Subhan Hafiz Nanda Ginting