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All Journal TEKNIK INFORMATIKA ELKHA : Jurnal Teknik Elektro PROtek : Jurnal Ilmiah Teknik Elektro Seminar Nasional Teknologi Informasi Komunikasi dan Industri Prosiding Seminar Nasional Pakar DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Riset Teknologi Pencegahan Pencemaran Industri AJAD : Jurnal Pengabdian kepada Masyarakat International Journal of Multidisciplinary Sciences and Arts Journal of Embedded Systems, Security and Intelligent Systems Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Economic: Journal Economic and Business TANJAK : Jurnal Pengabdian Kepada Masyarakat
Custer, Johny
Politeknik Negeri Bengkalis
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Role of Fruit Waste-Based Briquette Sales in Enhancing Income and Community Welfare in Babussalam Village Perdana, M Alkadri; Custer, Johny; Am, Andri Nofiar; Nasution, Lukman Hakim; Triyono, Wahyu; Rahayu, Siti
Economic: Journal Economic and Business Vol. 4 No. 4 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i4.1342

Abstract

This study analyzes the role of fruit waste briquette sales in increasing income and community welfare in Babussalam Village. Fruit waste, which is usually discarded, can be converted into environmentally friendly briquettes with economic value. The study used a descriptive quantitative approach with a case study, involving 30 respondents consisting of briquette producers and distributors. Data were collected through observation, interviews, and questionnaires, then analyzed using descriptive statistics and simple regression. The results show that briquette sales significantly increased household income by an average of 35% and improved welfare indicators such as education, health, and household consumption. The study concludes that the utilization and commercialization of fruit waste briquettes supports economic improvement in rural communities while simultaneously promoting sustainable environmental management. Further research is recommended to expand market access and integrate digital marketing strategies to increase the competitiveness of environmentally friendly briquette products.
Pelatihan Produksi Energi Ramah Lingkungan Berbasis Limbah Buah-Buahan sebagai Upaya Mewujudkan Desa Mandiri Energi di Desa Babussalam, Rokan Hulu Perdana, M. Alkadri; Custer, Johny; Nofiar. Am, Andri; Hadi, Larbiel
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.651

Abstract

This community service activity aims to improve the knowledge and skills of residents in Babussalam Village, Rokan Hulu Regency, in processing fruit waste into environmentally friendly energy through simple pyrolysis technology. The activity addresses the abundance of unutilized fruit waste that potentially causes environmental pollution. Conducted on October 30, 2025, with 20 participants from the local community and BUMDes Babussalam, the activity employed participatory methods including socialization, technical training, and ongoing mentoring. Results showed an 85% understanding level of renewable energy, based on pre-test and post-test evaluations improving from 45% to 85%. Participants successfully produced bio-oil and activated charcoal through direct pyrolysis practice using equipment developed from applied research. A village working group was also established under BUMDes Babussalam coordination to develop self-sufficient energy initiatives. The activity proves that integrating applied research, appropriate technology, and community participation creates an effective model for community-based energy empowerment, supporting national energy security and Sustainable Development Goals, particularly Goal 7 on clean energy and Goal 11 on sustainable communities.
An Iot-Based Forest Fire Prediction System Using Fuzzy Logic Method Lianda, Jefri; Amri, Hikmatul; Adam, Adam; Custer, Johny; Fitriana, Dea
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.
IoT-Based Smart Energy Management System for Air-Conditioning Energy Efficiency in Mosques Syaiful Amri; Rahmat Fajrul; Johny Custer; Murdani; Azizul
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2604

Abstract

Purpose – This study aims to develop and evaluate an Internet of Things (IoT)-based Smart Energy Management System (SEMS) to improve air-conditioning energy efficiency in mosque buildings. Design/methods/approach – The proposed system utilizes an infrared (IR) transmitter to replicate native air-conditioner remote signals, allowing implementation without modifying existing electrical installations. The system was implemented and tested at Taj-Al’ulum Mosque, Politeknik Negeri Bengkalis, under four operating modes: Default Manual, IoT Manual, Automatic, and Hybrid. Performance evaluation was conducted by comparing energy consumption across these modes and validating results through simulation and field testing. Findings – The results indicate that the Automatic mode achieved the highest energy savings, reducing energy consumption by 23.7% compared to the baseline, while also demonstrating the most stable operational performance. The Hybrid and IoT Manual modes also contributed to energy savings, although their effectiveness was influenced by user intervention and variations in mosque activities. Model validation showed strong agreement between simulation and real-world implementation, confirming system reliability. Research implications/limitations – This study is limited to a single case study location and focuses primarily on air-conditioning systems. Future research could expand to multiple buildings, integrate additional energy loads such as lighting and audio systems, and explore long-term performance under varying environmental and occupancy conditions. Originality/value – This study offers a practical, non-invasive, and replicable IoT-based energy management solution for mosque buildings, contributing to the development of smart energy management systems for smart mosques, particularly in environments with intermittent occupancy patterns.
A Real-Time IOT Monitoring and Safety Cutoff System for Electric Vehicle Batteries Using the BLYNK Platform jefri Lianda; Agustiawan; Adam; Custer, Johny; Rindilla Antika; Marzuarman
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.47098

Abstract

This paper presents the design and implementation of a 58-volt LiFePO₄ battery voltage management system for electric vehicles, featuring remote monitoring and control via the Blynk application. The system continuously monitors battery voltage levels and enables control through a Solid-State Relay (SSR) connected to a NodeMCU ESP8266 microcontroller. Through the Blynk interface, users can view real-time voltage readings along with the corresponding battery capacity percentage. The NodeMCU ESP8266 demonstrated reliable performance throughout all test phases, maintaining a stable internet connection. The average voltage measurement deviation displayed on the Blynk application was approximately 0.74%. The SSR is configured to disconnect the vehicle’s power supply when the battery voltage reaches around 46.3 volts or when the battery percentage decreases to 0.16%. This disconnection can be triggered manually through the Blynk application or automatically by the SSR. The disconnection process can be carried out through the Blynk application or automatically via the Solid State Relay (SSR). Remote disconnection via the Blynk application serves as an additional safety measure activated when suspicious conditions or activities are detected. This mechanism safeguards the battery from excessive discharge, promoting better performance and extending its service life by cutting off the load at critical limits.
IoT–DSS-Based Fleet Management System for Enhancing the Operational Efficiency of Fishing Vessels Romadhoni Roma; Budhi Santoso; Johny Custer; M. Nur Faizi; Mohamed Nasir Alivi; Abdul Razak Shaari
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2615

Abstract

Purpose - This study aims to develop an IoT–Decision Support System (DSS)-based Smart Fleet Management System (SFMS) to improve the operational efficiency of small- to medium-scale fishing vessels through real-time monitoring and data-driven decision-making. Design/methods/approach – The proposed system integrates IoT sensors (GPS, fuel flow, temperature) with an ESP32 microcontroller for real-time data acquisition and transmission via MQTT to a cloud platform. A hybrid DSS combining linear regression and fuzzy logic is developed to analyze vessel performance and generate operational recommendations. Field validation was conducted on three fishing vessels, with 1,200 telemetry samples for regression modeling, 300 decision samples for DSS evaluation, and 4,320 data packets for communication analysis. Findings - The implementation of SFMS resulted in significant improvements in operational performance. Fuel consumption decreased by 20.0% (from 50.7 L/h to 40.6 L/h), idle operational time was reduced by 28.9% (from 3.8 to 2.7 hours/day), and the Operational Efficiency Index (OEI) improved by 22.7% (from 0.110 to 0.135 kn/L). The DSS achieved an accuracy of 92.7% in decision recommendations, while system reliability reached 99.2% uptime with low latency and acceptable packet loss (1.48%). Research implications/limitations – Although effective, the study is limited by a small number of vessels and the lack of synchronized environmental data, suggesting the need for broader validation. Originality/value – This study presents a cost-effective and scalable IoT–DSS framework tailored for small-scale fisheries, supporting sustainable operations and maritime digital transformation.
Co-Authors Abdul Razak Shaari Adam Adam Adam Agustiawan Akmal Indra Am, Andri Nofiar Anggita, Anggita Azizul B, Hardi Faisal Ananda Faizi, M Nur Fitriana, Dea Hikmatul Amri Jefri Lianda Larbiel Hadi Lianda, Jefri Lianda, Jefri M Idham M Idham Marzuarman, Marzuarman Milla Marlina Assegaf Mohamed Nasir Alivi Muhammad Arman Muhammad Rusdi dan Afritha Amelia - Murdani Nasution, Lukman Hakim Nurul Fahmi Perdana, M Alkadri Perdana, M. Alkadri Rahmat Fajrul Rindilla Antika Romadhoni Roma Santoso, Budhi Siti Rahayu Siti Rohani Syaiful Amri Wahyu Triyono, Wahyu Zahendra, Fitra Zaidi Bin Othman