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All Journal Jurnal Rekayasa Komputasi Terapan Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Mudjianto Mudjianto
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Computer Science & IT

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Sistem Pendukung Keputusan Kinerja Guru Terbaik Menggunakan Analytical Hierarchy Process Mamun Ali, Muhamad Fuad; Fitriani, Ida; Mudjianto, Mudjianto
Jurnal Rekayasa Komputasi Terapan Vol 4, No 04 (2024)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrkt.v4i04.13302

Abstract

Penelitian ini bertujuan untuk membantu dalam pengambilan keputusan dan merancang sebuah sistem pendukung keputusan untuk menentukan guru terbaik di SMK YAPPA DEPOK . Penelitian ini dirancang menggunakan metode Analytical Hierarchy Process (AHP). Metode penelitian yang digunakan meliputi beberapa tahapan, yaitu perumusan masalah, pengumpulan data, analisis data, dan implementasi menggunakan algoritma Analytical Hierarchy Process (AHP). Proses pengumpulan data pada penelitian ini menggunakan metode studi pustaka, observasi, dan wawancara. Dari penelitian ini, dapat disimpulkan bahwa metode Analytical Hierarchy Process(AHP) dalam pemilihan guru terbaik dapat meningkatkan efektifitas dalam pengambilan keputusan pemilihan guru terbaik secara cepat , tepat dan transparan.Kata Kunci: Sistem Pendukung Keputusan, Guru Terbaik, Analytical Hierarchy Process (AHP)
Rancang Bangun Sistem Pendeteksi Kebocoran Gas Elpiji Berbasis Internet Of Things Menggunakan Esp32 Rudi Hermawan; Mudjianto Mudjianto
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 4 No. 3 (2026): Mei : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v4i3.1033

Abstract

Liquefied Petroleum Gas (LPG) is one of the most widely used energy sources in households and small industries. However, gas leakage often becomes a major cause of fires and explosions due to delayed detection. Therefore, an early warning system capable of detecting LPG leaks in real time is required. This research aims to design and implement an Internet of Things (IoT)-based LPG gas leak detection system using the ESP32 microcontroller. The system utilizes the MQ-2 gas sensor to detect LPG concentration in the surrounding environment. When the detected gas concentration exceeds the specified threshold, the system activates a buzzer alarm, displays warning information on an Android smartphone, and sends monitoring data through the internet. The research method employed is the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and maintenance. System testing was carried out using the Black Box Testing method to verify the functionality of each component. The results indicate that the developed system successfully detects LPG gas leakage, provides early warning notifications, and performs real-time monitoring through smartphone devices. This system is expected to improve household safety and minimize fire hazards caused by LPG gas leaks.
Co-Authors Ida Fitriani Mamun Ali, Muhamad Fuad Rudi Hermawan