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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 : Jurnal Mantik

 1 
Implementation of OSI Layer Based on Interactive Education Media Chairul Imam; Muhammad Furqon Siregar; Auliana Nasution
Jurnal Mantik Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2021.1206.pp2545-2551

Abstract

The design of basic network learning media using computer technology based on interactive educational media aims to facilitate the introduction of basic networks using interactive educational media so that they are more interested and able to follow and pay attention to the explanation conveyed through an OSI Layer work process in learning the basic network. In order to make it easier for readers, and faster to master and be able to practice for students who want to learn about the basic network introduction to the OSI Layer.
Fuzzy logic to adjust room temperature depending on the number of people Muhammad Furqon Siregar; Chairul Imam
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3792

Abstract

This study focuses on discussing how fuzzy logic can be used in temperature control systems. To avoid unsuitable and excessive performance as a result of the growing number of individuals entering the room, fuzzy logic is utilized to determine the amount of values provided. The effectiveness of the system in controlling the temperature and the quantity of individuals entering the space is its performance. When people enter the space, the sensor system counts them to establish the room's capacity. The ATmega328 microcontroller was used in the creation of this system. The quantity of people entering the room is forecast using PIR and ultrasonic sensors. To prevent system failure, the maximum number is restricted to 250 persons for calculating and evaluating system performance. In this case, the Tsukamoto fuzzy logic model was applied, with experimental results showing increased accuracy in determining how many rotations the dynamo and relay experience. The measured average value of the results obtained an accuracy of 54.11%, and the system shows that it is more stable than without applying the fuzzy logic model.
Utilizing fuzzy logic to create a prototype robot for load detection Muhammad Furqon Siregar; Chairul Imam
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4876

Abstract

The application of fuzzy logic in a load-lifting arm robot is covered in this work. Input values are computed using fuzzy logic to prevent inappropriate power usage caused by variations in load weight. The robot's ability to successfully lift the load is the performance that is being evaluated. To choose the motor rotation, the system should calculate the mass of the load. System design is done with an Arduino Uno. For pinching and driving levers, servo motors are used. A mass sensor is used to estimate the mass of the load. Robot construction limits the load to a maximum weight of 900 grams in order to assess robot performance. The findings demonstrate that using Tsukamoto's fuzzy logic model improves accuracy outcomes when determining the degree of slope servo
Co-Authors Baginda Harahap Fahmi Ruziq Ine Stye Muhammad Furqon Siregar Muhammad Furqon Siregar Nasution, Auliana Rahmad Fadli Sekar AyuPratiwi Subhan Hafiz Nanda Ginting