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Zulrahmadi, Zulrahmadi
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Computer Science & IT Electrical & Electronics Engineering

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Design of Liquified Petroleum Gas (LPG) Leak Detection Tool with Buzazer nd Telegram based on IOT Maisarah, Siti Maisarah; Samsudin, Samsudin; Jibril, Muhammad; Prasetyo, Dwi Yuli; Zulrahmadi, Zulrahmadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4806

Abstract

The development of Internet of Things (IoT) technology has made a major contribution to increasing efficiency and security in various fields. One of the growing applications is the use of IoT in gas leak detection to maintain a safe environment. This research aims to design an IoT-based gas leak detection tool using the MQ-2 sensor with a case study at a village office. The tool designed integrates the MQ-2 sensor to detect dangerous gases such as Liquified Petroleum Gas(LPJ), propane and methane, and uses a buzzer as a sound warning and Telegram as a communication platform to provide real-time notifications. A case study was conducted at the village office to test the effectiveness of the tool in detecting gas leaks and providing a fast response. The research results show that the gas leak detection tool developed is able to accurately detect dangerous gases and provide early warning via buzzer and Telegram. The integration of IoT in this tool provides an efficient solution in maintaining environmental security, especially in village office environments. This research is expected to contribute to the development of IoT-based gas leak detection technology and provide guidance for the use of similar tools in various environments. In addition, case studies in village offices provide examples of relevant implementation in the context of environmental safety in the workplace.
Expert System for Diagnosing Metabolic Syndrome at The Tembilahan Regional General Hospital samsudin, samsudin; ilyas, ilyas; Zulrahmadi, Zulrahmadi; Tanjung, Faizal
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3516

Abstract

Metabolic syndrome is a disease that is considered trivial and common in society. When sufferers feel the effects of the disease, it will make treatment and healing difficult. To detect this disease early, an expert system application with the forward chaining method is needed so that this application makes it easier to detect disease early. The method for developing this system uses the waterfall method. System analysis and design using UML. System testing uses a black box where system test results are received. Application user testing, using statistical tests with Beta testing with a 95% confidence level, the system can be accepted and trusted. Based on these results, this system can be a solution for early detection of metabolic syndrome.
Co-Authors Dwi Yuli Prasetyo Ilyas Ilyas Jibril, Muhammad Maisarah, Siti Maisarah Samsudin Samsudin Tanjung, Faizal