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All Journal Jurnal Ilmiah Flash JTERA (Jurnal Teknologi Rekayasa) INOVTEK POLBENG Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Multitek Indonesia : Jurnal Ilmiah JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Riset Teknologi Pencegahan Pencemaran Industri Proceeding Applied Business and Engineering Conference KOLONI TANJAK : Jurnal Pengabdian Kepada Masyarakat
Adam Adam
Politeknik Negeri Bengkalis
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An Iot-Based Forest Fire Prediction System Using Fuzzy Logic Method Jefri Lianda; Hikmatul Amri; Adam Adam; Johny Custer; Dea Fitriana
Jurnal Riset Teknologi Pencegahan Pencemaran Industri Vol. 16 No. 2 (2025): November
Publisher : Balai Besar Standardisasi dan Pelayanan Jasa Pencegahan Pencemaran Industri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21771/jrtppi.2025.v16.no2.p158-167

Abstract

Forest and land fires represent a recurring environmental challenge in Indonesia, especially during the prolonged dry season. These incidents result in significant consequences, including the destruction of ecosystems, threats to human health, and considerable economic disruption. To address this problem, the present research focuses on the development of an Internet of Things (IoT)-based system designed to predict and monitor the risk of forest fires by implementing the Fuzzy Logic method. The prototype integrates several sensors, namely a DHT22 sensor for measuring temperature and humidity, an MQ-2 sensor for detecting gas and smoke concentrations, and a flame sensor for identifying the presence of fire. All sensors are connected to a NodeMCU ESP8266 microcontroller that serves as the core of data processing and wireless communication. The collected sensor data is evaluated using a Fuzzy Logic algorithm, which classifies the fire risk into three distinct levels: “Safe,” “Caution,” and “Hazardous.” Experimental testing demonstrates that the system responds effectively to fluctuations in temperature, humidity, smoke levels, and visible flame in real time, with alerts displayed through a web-based dashboard. The DHT22 sensor exhibits an average error rate between 4.8% and 5% for temperature readings and between 4.1% and 4.5% for humidity measurements. In addition, the flame sensor successfully detects fire sources at distances reaching 300 cm. The outcomes confirm that the system achieves a high degree of reliability and accuracy, thereby providing valuable support for early warning, strengthening preventive strategies, and assisting authorities in mitigating the severe impacts of forest and land fires.
Sistem Monitoring PH Pada Tanaman Kelapa Sawit Berbasis IoT M Yusuf Nurul Yakin; Jefri Lianda; Adam Adam
KOLONI Vol. 5 No. 2 (2026): JUNI 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i2.983

Abstract

This study presents the design of a soil pH monitoring system for oil palm plants integrated with Internet of Things (IoT) technology for real-time monitoring of soil conditions. The system consists of a soil pH sensor, a NodeMCU ESP8266 microcontroller, and a monitoring platform for data visualization. Testing was conducted on several soil samples to evaluate the performance of the system in measuring and transmitting pH data. The results show that the system is capable of monitoring soil pH accurately and continuously in real time. The monitoring platform successfully displays pH data, allowing users to observe soil conditions remotely and efficiently. The results indicate that the proposed system works effectively and can support better soil management practices for oil palm cultivation.
Rancang Bangun Pembangkit Listrik Tenaga Surya (PLTS) pada Gerobak UMKM Berbasis Internet Of Things (IOT) Nova Ardila; Jefri Lianda; Hikmatul Amri; Adam Adam; Khairudinsyah Khairudinsyah
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1048

Abstract

The utilization of Solar Power Plants (PLTS) for micro, small, and medium enterprises (MSMEs) is an effective solution to provide an independent, environmentally friendly, and sustainable electrical energy source. This study aims to design and develop an Internet of Things (IoT)-based solar power system for MSME carts that is capable of supplying electrical energy while providing real-time monitoring of electrical parameters. An experimental method was employed through hardware and software design, system assembly, and performance testing. The proposed system consists of a solar panel, solar charge controller, battery, inverter, voltage and current sensors, and a NodeMCU ESP8266 microcontroller for transmitting monitoring data to an IoT platform. System testing was conducted from 08:00 to 17:00 to evaluate variations in voltage, current, and panel temperature under different levels of solar radiation. The results indicate that the solar panel voltage gradually increased and reached a maximum value of 20.0 V at 12:00, before decreasing as solar radiation declined in the afternoon. The Battery Charge Regulator (BCR) maintained a relatively stable output voltage despite fluctuations in the input voltage from the solar panel. Furthermore, the IoT-based monitoring system successfully displayed voltage, current, and temperature data accurately, continuously, and in real time through a monitoring interface, enabling users to monitor system performance remotely. These findings demonstrate that the proposed IoT-based solar power system operates effectively as an independent energy source and supports more efficient energy management for MSME carts.
Battery Management System dengan Fitur Adaptive Current Protection Terhadap Suhu Ade Mahendra Fata; Jefri Lianda; Hikmatul Amri; Adam Adam; Khairudinsyah Khairudinsyah
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1057

Abstract

The design and development of a Battery Management System (BMS) with an Adaptive Current Protection feature based on temperature aims to improve battery safety, reliability, and service life by automatically adjusting the charging and discharging current according to temperature conditions. This study employed an experimental method by developing a system consisting of a temperature sensor, current sensor, Battery Management System (BMS) module, ESP32 microcontroller, and an Internet of Things (IoT)-based monitoring platform for real-time data visualization. System testing was conducted under various battery temperature conditions to evaluate its ability to monitor temperature, regulate current adaptively, and transmit measurement data to the monitoring platform. The results showed that the proposed system was able to accurately detect battery temperature changes and automatically adjust the allowable current according to predefined temperature thresholds. Under normal temperature conditions, the system allowed the maximum operating current to maintain battery performance. As the temperature increased, the current limit was gradually reduced, and the protection mechanism was activated when the battery reached unsafe temperature levels. Furthermore, temperature, current, and voltage data were continuously displayed on the IoT monitoring platform, enabling users to monitor battery conditions remotely in real time. The study demonstrates that the proposed Battery Management System with Adaptive Current Protection effectively enhances operational safety, maintains battery performance stability, and contributes to extending battery lifespan.
Implementasi Sistem Pengendali On-Off Jarak Jauh PJU Berbasis IoT Nasrullah Nasrullah; Jefri Lianda; Hikmatul Amri; Adam Adam; Khairudinsyah Khairudinsyah
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1065

Abstract

The advancement of Internet of Things (IoT) technology has enabled the development of smart systems for controlling and monitoringpublic infrastructure, including Public Street Lighting (PSL). This study presents the implementation of an IoT-based remote on-off control systemdesigned to improve the efficiency and flexibility of street lighting management. The proposed system employs an ESP32 NodeMCUmicrocontroller as the control unit, a relay module to switch the lighting load, and the Blynk application to provide a user-friendly interface for remote operation and monitoring through a smartphone. The research was carried out through hardware and software design, systemintegration, and functional performance testing. Experimental results demonstrated that the developed system responded successfully toall ON and OFF commands transmitted over the internet, achieving a 100% success rate under stable network conditions. In addition,users were able to monitor the operational status of the street lights in real-time, allowing faster and more efficient management from remote locations. The implementation results indicate that the proposed IoT-based control system provides a practical, reliable, and cost-effective solution for modern public street lighting management while supporting the realization of smart city infrastructure.
RANCANG BANGUN BOOST CONVERTER PADA SISTEM PANEL SURYA KE BEBAN DC MENGGUNAKAN KONTROL ARDUINO UNO Findera Subagia; Adam Adam; Hikmatul Amri; Jefri Lianda; Khairudinsyah Khairudinsyah
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1066

Abstract

Pemanfaatan energi surya sebagai sumber energi terbarukan terus berkembang seiring meningkatnya kebutuhan akan energi listrik yang ramah lingkungan. Namun, tegangan keluaran panel surya sering mengalami perubahan akibat intensitas cahaya matahari yang tidak stabil, sehingga belum mampu memenuhi kebutuhan beban DC yang memerlukan tegangan lebih tinggi. Penelitian ini bertujuan untuk merancang dan membangun sistem boost converter pada panel surya menggunakan kontrol Arduino Uno untuk meningkatkan tegangan keluaran panel surya agar sesuai dengan kebutuhan beban DC. Sistem dirancang menggunakan panel surya sebagai sumber energi, boost converter sebagai penaik tegangan, Arduino Uno sebagai pengendali sinyal PWM, driver MOSFET IR2117 sebagai penggerak saklar elektronik, sensor tegangan sebagai umpan balik, serta beban lampu DC sebagai objek pengujian. Metode penelitian meliputi tahap perancangan perangkat keras, perancangan perangkat lunak, implementasi sistem, serta pengujian kinerja berdasarkan variasi tegangan masukan panel surya dan duty cycle PWM. Hasil pengujian menunjukkan bahwa sistem boost converter mampu meningkatkan tegangan keluaran panel surya dari kisaran 10–13,5 V menjadi 12,4–27,8 V, dengan tegangan keluaran optimal sebesar 24 V yang mampu mengoperasikan beban lampu DC secara normal. Selain itu, pengaturan duty cycle PWM menggunakan Arduino Uno terbukti berpengaruh terhadap besar tegangan keluaran boost converter sehingga sistem dapat bekerja secara stabil sesuai kebutuhan beban. Berdasarkan hasil penelitian, sistem boost converter berbasis Arduino Uno mampu meningkatkan efisiensi pemanfaatan energi panel surya untuk menyuplai beban DC dan berpotensi diterapkan pada berbagai sistem kelistrikan berbasis energi terbarukan.
Co-Authors Ade Mahendra Fata Agustiawan, Agustiawan Azizul Azizul Custer, Johny Dea Fitriana Dolly Handarly Endang Setio Rini Fauzan Asrori Findera Subagia Hardi B Hikmatul Amri Iman Saputra Khairudin Syah Lianda, Jefri M Yusuf Nurul Yakin N Norazizi Nasrullah Nasrullah Nova Ardila Rodotul Azkia Sandi Irawan Suci Damayanti suhardiman suhardiman Syaiful Amri Wan Muhammad Faizal Zainal Abidin