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Development and Performance Evaluation of a Real-Time Environmental Monitoring System Using ESP32, MQTT, Node-RED, and MySQL Database MICKO TOMAS; Refki Budiman; Baharuddin; Riko Nofendra; Hanalde Andre; Elsi Alfionita
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 6 No. 1 (2026): Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v6i1.143

Abstract

Real-time environmental monitoring is an important requirement for managing facilities, laboratories, server rooms, and work environments that require temperature and humidity control. This study aims to develop and evaluate the performance of an Internet of Things (IoT)-based environmental monitoring system using ESP32 microcontrollers, DHT11 sensors, the Message Queuing Telemetry Transport (MQTT) protocol, Node-RED, and a MySQL database. The system is designed to acquire temperature and humidity data, transmit data via Wi-Fi using MQTT, display real-time measurement results on the Node-RED dashboard, and store historical data into a MySQL database. Testing was carried out with a data transmission interval of every 5 seconds using MQTT QoS 0. The test results showed that the system was capable of continuous monitoring, with a measured temperature range of 27.1–28.5 °C and a relative humidity range of 44–51% RH. Sensor data was successfully transmitted, visualized, and stored in real-time without any loss of observed data during the test period. The Node-RED dashboard can display information as gauges, trend graphs, and historical tables, facilitating the monitoring and analysis of environmental data. The integration of ESP32, MQTT, Node-RED, and MySQL produces a stable, low-cost, easy-to-develop monitoring system with potential for implementation in various IoT-based environmental monitoring applications. The results of the study indicate that the proposed architecture can provide a reliable environmental monitoring solution and support real-time, data-driven decision-making.
Key Determinants of SMEs Sustainable Performance in West Sumatra: A PLS-SEM Analysis Hary Fandeli; Micko Tomas; Fitrah Qalbina; Nasywa Firdaus Har
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p174-190.2026

Abstract

Rising environmental pressures from population growth and industrial expansion in Indonesia necessitate sustainable business practices. Yet, adoption among Small and Medium-sized Enterprises (SMEs) remains obstructed by low energy efficiency, inadequate waste management, limited technological and financial access, and managerial shortcomings. Using‍‌‍‍‌‍‌‍‍‌ two theories, resource based view (RBV) and institutional theory (IT), this study has mapped the relationships between internal and external factors and the triple-bottom-line performance of SMEs. This study investigates and tests these relationships amongst the factors that influence environmental, social, and economic sustainability performance by Partial Least Squares Structural Equation Modeling (PLS-SEM). This study designs the approach as a cross-sectional survey, gathering primary data from 110 SMEs to assess the proposed relationships among internal, external, and sustainability performance. Internal factors consist of green entrepreneurial orientation (GEO), green innovation (GI), and leadership commitment (LC), while market orientation (MO) and stakeholder pressure (SP) represent the external factors. Findings indicate that market orientation (MO) has a positive and significant effect across the entire triple-bottom-line (financial, social, environmental), whereas stakeholders pressure (SP) exerts a significant positive effect only on the financial and social dimensions. On the other hand, the internal factor comprising green entrepreneurial orientation (GEO), green innovation (GI), and leadership commitment (LC) does not significantly impact sustainability performance. These results indicate that among the external drivers examined, market orientation is the most comprehensive predictor of sustainability performance, whereas stakeholder pressure has a significant effect only on the financial and social dimensions. Practically, Indonesian SMEs are advised to constantly interpret and react to market signals and stakeholder expectations, whereas, policymakers are recommended to pair the tool of stakeholder pressure with capability-enhancement programs in terms of the operational system.
Design and Implementation of a Solar-Powered IoT Smart Fish Feeder for Sustainable Freshwater Aquaculture Micko Tomas; Baik Budi; Khadlel Muhammad Romiz
Journal of Applied Computer Science and Technology Vol. 7 No. 1 (2026): Juni 2026 (In progress)
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/njwes527

Abstract

The utilization of solar energy in aquaculture automation still encounters challenges related to energy efficiency, stability, and adaptive control within IoT-based systems. This research presents the design and implementation of a solar-powered IoT Smart Fish Feeder, developed to enable adaptive feeding schedules with optimized power management. The system is composed of a 100 Wp solar panel, a 25 A MPPT charge controller, a 14.8 V lithium battery, a 2P DC MCB (440 V/25–16 A), and an APZEM-017 ModBus DC wattmeter, integrated with a DC–DC Boost Converter to regulate power delivery for the feeder prototype. Experimental tests were conducted to evaluate solar energy performance under real environmental conditions, focusing on parameters such as voltage, current, power output, and energy conversion efficiency. Results demonstrated that the solar panel achieved an average conversion efficiency of 87.2%, the MPPT controller maintained an efficiency of 95%, the battery system reached a charge–discharge efficiency of 90.4%, and the DC–DC converter operated at 92% efficiency, resulting in an overall system efficiency of 68.8%. The system maintained voltage stability within ±2% and was capable of autonomous 24-hour operation without external power. Compared to previous studies that lacked solar–IoT integration and adaptive control, this prototype provides a novel and energy-efficient solution for sustainable aquaculture. The findings confirm that the proposed design enhances renewable energy utilization, operational reliability, and environmental sustainability in innovative aquaculture applications.