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All Journal Journal of Electrical Engineering and Computer (JEECOM) Malcom: Indonesian Journal of Machine Learning and Computer Science
Abdur Rohman Wakhid
Universitas Islam Lamongan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Performance Evaluation of the DHT11 Sensor for MATLAB-Based Temperature and Humidity Measurements Muhammad Chusni Marzuki; Ulul Ilmi; Arif Budi Laksono; Eko Wahyu Santoso; Abdur Rohman Wakhid
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2565

Abstract

This study evaluates the performance of the DHT11 sensor in measuring temperature and humidity by comparing it with a conventional thermometer using a MATLAB-based statistical approach. The analysis includes descriptive statistics, error evaluation using Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE), linear regression modeling, and significance testing through ANOVA and the Durbin–Watson test. The results show that the DHT11 sensor provides consistent measurements (good precision) and exhibits a strong linear relationship with the reference instrument, as indicated by a high correlation coefficient (R = 0.944) and coefficient of determination (R² = 0.891). However, the sensor demonstrates a slight systematic bias, with temperature readings approximately 1–2 °C higher than those of the conventional thermometer. The obtained error values (MAE = 1 °C and MAPE ? 3.4%) indicate acceptable accuracy for general monitoring applications. Overall, the DHT11 sensor is a reliable, cost-effective, and practical solution for temperature and humidity monitoring. Nevertheless, calibration is recommended to improve measurement accuracy in applications requiring higher precision.
Water Level and Solar Panel Power Monitoring System Based on the Internet of Things (IoT) Affan Bachri; Abdur Rohman Wakhid; Muhammad Aflah Kafabi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.16852

Abstract

Water storage management still requires direct supervision in many household and small-scale applications, while a remote monitoring system also needs a reliable energy supply. This study develops an integrated Internet of Things system that measures water level and photovoltaic electrical parameters in real time. The prototype uses an ESP32, a waterproof JSN-SR04T ultrasonic sensor, two INA219 modules, a 20 Wp solar panel, a PWM solar charge controller, a 12 V battery, ThingSpeak, and a Telegram Bot. Testing covered microcontroller connectivity, distance measurement accuracy, electrical sensing, solar panel output, battery operation, cloud data delivery, and integrated system performance. The JSN-SR04T produced an average reading of 10.16 cm for a 10.00 cm reference, with an average absolute deviation of 0.16 cm. INA219 voltage measurements showed a mean relative error of 2.91% against a multimeter. During integrated testing, the water level remained at 12.0-12.4 cm, solar panel voltage reached 13.44-13.45 V, and panel power reached 4.40-4.41 W. ThingSpeak displayed the measurements continuously, while Telegram delivered synchronized status information. These results show that the proposed system supports remote water-level and energy-source monitoring using an autonomous solar supply.
Co-Authors Affan Bachri Arif Budi Laksono Eko Wahyu Santoso Muhammad Aflah Kafabi Muhammad Chusni Marzuki Ulul Ilmi