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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Agents: Journal of Artificial Intelligence and Data Science Jurnal Vokasi Keteknikan

A. Muhammad Syafar

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Author-ID : 3705384

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Other

Published : 6 Documents Claim Missing Document

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Title

DETEKSI KEBOCORAN PADA TABUNG GAS LPG MENGGUNAKAN SENSOR MQ-5 BERBASIS ANDROID Kahar Muzakkar; Faisal; A. Muhammad Syafar
AGENTS: Journal of Artificial Intelligence and Data Science Vol 1 No 2 (2021): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

[LEAK DETECTION IN LPG GAS CYLINDER USING ANDROID-BASED MQ-5 SENSOR] In this study there had been designed the LPG gas cylinder leak detector using Microcontrollers and MQ5-based MQ5 sensors. The purpose of this study is to make a series of MQ5 sensors to detect LPG gas levels which then give notifications in mobile applications and provide handling through mobile applications and handling automatically if a gas leak occurs. When NodeMCU ESP8266 leaks receive information on a gas leak from the MQ-5 sensor, it will immediately provide instructions to the buzzer to ring alarm as a warning of the surrounding person, and give information in the form of a notification in the mobile application that there is a gas leak then gives an order to revoke the regulator through mobile application. Automation carried out has different treatments in accordance with the range of gas levels detected. The range of gas levels is PPM <500, 500 <ppm <1000 and ppm> 1000. The sensor circuit that has been made can detect gas content by up to 33000 ppm. The results of testing on the LPG gas leakage automation system, namely the system can work when there is a leak in LPG gas and effectively to reduce LPG gas levels to the safe zone. Keywords: Microcontroller, NodeMCU ESP8266, MQ5 Sensor, Servo Motor, Buzzer, and Blynk

Implementasi Metode Perbandingan Eksponensial dalam Sistem Pendukung Keputusan Seleksi Mahasiswa Penerima Beasiswa Muammilul Khair; A. Muhammad Syafar; Darmatasia
AGENTS: Journal of Artificial Intelligence and Data Science Vol 2 No 2 (2022): Maret - Agustus
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Scholarship is one of the programs initiated by the institution that is awarded to a student based on academic achievement or other criteria that may include financial need. Scholarships are awarded selectively in accordance with the scholarships held. The most problem in scholarship program is the selection process to decide scholarship awardees. The conventional selection model in scholarship selection is commonly not transparent and misdirected. This research was conducted in UIN Alauddin Makassar which aims to develop a scholarship selection Decision Support System to facilitate the decision makers in selecting scholarship recipients. The method used in the decision-making process is the Exponential Comparison method. This method is a method with exponential calculation, the difference in value between criteria can be distinguished depending on the ability of the person who judges. The system that has been built is then tested by BlackBox testing. The results of the study show that all features of the system can function properly. This research is expected to facilitate decision makers in selecting scholarship recipients transparently and effectively.

Co-Authors Darmatasia DARMATASIA, DARMATASIA Faisal Hamsu Abdul Gani Kahar Muzakkar M. Fadhil Muhaimin Muammilul Khair Muhammad agung Nurul Fuadi Sri Wahyuni

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Journal : Agents: Journal of Artificial Intelligence and Data Science