Claim Missing Document
Check
Articles

Found 3 Documents
Search

Sistem Monitoring Indeks Pencemaran Air Berbasis Internet of Things Asharullah Asharullah; Muhammad Zainal; A. Abd. Jabbar
Jurnal Mosfet Vol. 6 No. 1 (2026): 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v6i1.4334

Abstract

The coastal waters of Parepare City are surrounded by numerous food stalls whose wastewater and food residues are often discharged directly into the marine environment, leading to seawater pollution. Continuous monitoring is therefore required to assess water quality and support effective environmental management. This study aims to develop an Internet of Things (IoT)-based web server system for monitoring the seawater pollution index in the coastal waters of Parepare City. The research adopts a quantitative Research and Development (R&D) approach by integrating pH, turbidity, and Total Dissolved Solids (TDS) sensors to collect real-time water quality data. Sensor readings are transmitted to an IoT-based web server and processed to calculate the Water Pollution Index (WPI). Experimental results demonstrate that the system operates effectively under field conditions. Morning measurements produced a pH value of 6.9, turbidity of 2443 NTU, and TDS of 1179.1 ppm, resulting in a pollution index of 1.91, classified as lightly polluted. Afternoon measurements indicated a pollution index of 2.04 with increased turbidity, which also falls within the lightly polluted category. The proposed system provides a reliable solution for real-time monitoring of seawater quality in the coastal waters of Parepare City.
Sistem Kendali Multi Point Berbasis Telegram A. Abd. Jabbar; Muh. Said
Jurnal Sintaks Logika Vol. 5 No. 3 (2025): September 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jsilog.v5i3.4258

Abstract

This research focuses on energy-saving solutions through IoT-based smart homes. Telegram-based multi-point control system is designed to optimize the use of electronic devices. The purpose of this research is to design and develop a Telegram-based on/off multi-point control system on automatic lights to optimize the use of electronic devices, improve energy efficiency, and adapt to technological developments and modern lifestyle needs. The method used in this study is qualitative based on RND, which aims to develop and test new or improved products with a focus on numerical measurements. The test results were analyzed to assess the performance of the system in responding to commands at various distances and conditions, both with and without obstacles.
Sistem Monitoring dan Kontrol Lampu Jalan Berbasis Komunikasi Many-to-One dan One-to-Many dengan Modul NRF24L01 Asdar Rustan; A. Abd. Jabbar; Muhammad Zainal
Jurnal Mosfet Vol. 6 No. 2 (2026): 2026
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v6i2.4612

Abstract

Public Street Lighting (PSL) plays an important role in supporting safety, security, and comfort for road users. Therefore, an effective monitoring and control system is required to improve energy efficiency and facilitate lamp condition monitoring. This study aims to design and develop a street lighting monitoring and control system based on many-to-one and one-to-many communication using the NRF24L01 PA LNA module. The system consists of one master node and five slave nodes equipped with Photodiode sensors to detect ambient light intensity and BH1750 sensors to monitor lamp conditions. This research employed an applied research method with an experimental approach through system design, implementation, and testing. The results showed that the system successfully performed data communication between the master node and slave nodes effectively. The BH1750 sensor achieved an average error of 7.27% with an accuracy of 92.73%, while the Photodiode sensor was able to detect changes in ambient light intensity effectively. The NRF24L01 PA LNA module achieved a communication range of up to 103 meters with delays ranging from 2.41 ms to 20.42 ms. The system was also capable of real-time lamp condition monitoring and both automatic and manual lamp control. Based on the test results, the proposed system operated according to the research objectives and is feasible to be implemented as an efficient and centralized street lighting monitoring and control solution