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All Journal Journal of System and Computer Engineering Journal of Innovative and Creativity Jurnal Industri Furnitur dan Pengolahan Kayu (JIFKA)
Muhammad Syafaat
Institut Teknologi Bacharuddin Jusuf Habibie
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Rancang Bangun Alat Pengukur Kecepatan Air Berbasis Digital Dengan Sensor Hall-Effect Andri Dwi Utomo; Andi Taufiqurrahman Akbar; Muhammad Syafaat
Jurnal Industri Furnitur dan Pengolahan Kayu Vol 2 No 2 (2024): JIFKA Desember 2024
Publisher : Politeknik Industri Furnitur dan Pengolahan Kayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67302/jifka.v2i2.321

Abstract

Perkembangan teknologi telah mendorong peralihan dari alat ukur analog ke sistem digital untuk meningkatkan akurasi, termasuk dalam mengukur kecepatan aliran air sungai. Pengukuran ini penting untuk kebutuhan industri, penelitian, atau perencanaan Pembangkit Listrik Tenaga Mikro Hidro (PLTMH). Penelitian ini menggunakan metode pelampung sebagai pembanding untuk alat ukur berbasis flow sensor dengan sistem hall-effect. Sensor ini memiliki rotor air yang menghasilkan pulsa sesuai kecepatan aliran, yang kemudian diolah oleh mikrokontroler Atmega16 dan ditampilkan di layar. Hasil pengujian menunjukkan kesalahan pengukuran antara metode pelampung dan alat dalam rentang 1-8%. Misalnya, pada lintasan 10 meter, metode pelampung mencatat kecepatan 0,40 m/s, sementara alat mencatat 0,41 m/s dengan kesalahan 2,5%. Pada lintasan 15 meter, kesalahan mencapai 8%. Penelitian ini membuktikan bahwa alat berbasis flow sensor dapat menjadi alternatif andal untuk mengukur kecepatan aliran air dengan tingkat kesalahan yang dapat diterima. Hasil ini mendukung pengembangan teknologi digital untuk pengukuran yang lebih akurat dan efisien.
Performance Analysis of a Multisensor IoT System for Water Quality Surveillance at PDAM Makassar Muhammad Syafaat; Jeffry Jeffry
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.4885

Abstract

IoT-Based Water Monitoring System with Case Study of Makassar City PDAM is a tool made to provide convenience to PDAM (Regional Drinking Water Company) employees, especially at Makassar City PDAM, to determine the pH value of water, TDS value and NTU level value in water reservoirs using a water pH sensor, TDS sensor and LDR sensor which will be displayed on a website application via an internet network in the form of a graph. If the pH value read on the water pH sensor is pH 6.5-8.5, it can be declared that the water is in proper condition, if the ppm value read to the TDS sensor is 0-300 ppm, the water is declared proper and if the ppm value read to the LDR sensor is 0-25 NTU, the water is declared proper. the parameter accuracy rate of the pH Sensor is 94.74%, the TDS Sensor is 93.70%, while the Water Turbidity sensor has an accuracy rate of 85.31% so that the overall accuracy rate of this consumable water monitoring system is 91.25%.
Energy Efficient IoT-Based Forest Fire Detection Using LoRaWAN and AI Muhammad Syafaat; Muh Zulfadli A Suyuti; A Alfiansyah
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2381

Abstract

Forest fires remain a global problem that has a major impact on the economy and health. Indonesia suffered losses of up to Rp. 72.95 trillion due to forest fires in 2019. Internet of Things (IoT) technology can be used for early detection of forest fires, but is constrained by limited network infrastructure and high energy consumption. This study aims to design a smart mitigation device and application for early detection of forest fires using LoRaWAN technology, which does not require an internet connection from the node to the gateway. In addition, an Artificial Intelligence method with adaptive sampling is applied, namely adaptive sampling threshold modeling and reinforcement Q-learning on the gateway to optimize energy use. The method used is Research and Development (R&D), with testing of the effectiveness of the design and descriptive statistical analysis to compare the energy efficiency between LoRaWAN devices with AI and conventional smart mitigation devices. The results of the study show that LoRa-based mitigation devices can cover the entire Jompie Botanical Garden area with a transmission distance of up to 3 kilometers and are 105% more energy efficient than conventional mitigation devices.
Co-Authors A Alfiansyah Andi Taufiqurrahman Akbar Andri Dwi Utomo Jeffry Jeffry Muh Zulfadli A Suyuti