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Muldi Yuhendri
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Departement Teknik Elektro, Universitas Negeri Padang Jl. Prof. Hamka Air Tawar Padang, 25131
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INDONESIA
Journal of Industrial Automation and Electrical Engineering
Published by Universitas Negeri Padang
ISSN : -     EISSN : 30891159     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of Industrial Automation and Electrical Engineering (JIAEE) is an open-access peer-reviewed journal which is providing a platform to researchers, scientists, engineers, and practitioners/professionals throughout the world to publish the latest creations and achievement, future challenges and exciting applications of manufacture and applications of instrumentation and control engineering, industrial automation, control system, robotics, power electronic and drive, renewable energy, SCADA and Internet of Things (IoT), power quality, electrical machine and drive, artificial intelligence (AI), circuits & electronics, electrical engineering materials, protection system, power system analysis etc. This journal is published periodically twice a year, namely in June and December.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 136 Documents
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Design and Implementation of Smart Home Using Voice Assistant Based on Microcontroller and Internet of Things Wulan Apriyenna Kartini; Syaiful Islami
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/493aa258

Abstract

The rapid advancement of information and communication technology has led to the emergence of the smart home concept, which utilizes the Internet of Things (IoT) to automate and simplify the control of household devices. This study aims to design an IoT-based smart home system using the ESP32 microcontroller, integrated with Google Assistant, TTP223B touch switches, and the Google Home application to control lights and fans in three rooms. The system is also equipped with an INA219 sensor to monitor power consumption in real time through the Kodular platform. The research methodology includes hardware and software design, connectivity testing, and system performance analysis based on response time and operational stability. The test results show that the system operates effectively, with voice commands responding within 2-3 seconds and touch switches responding in less than 1 second. Overall, the system proves to be reliable, efficient, and capable of enhancing convenience, safety, and effectiveness in managing household electronic devices automatically and remotely.
Control and monitoring system for hydrant pump based on PLC PACSystems RX3i and HMI at PT Wilmar Nabati Indonesia Padang Syifa Ayu Farasani; Muldi Yuhendri
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/6ny2sd68

Abstract

Hydrant pump systems at PT Wilmar Nabati Indonesia Padang currently employ conventional relay-based controls with limitations in real-time visualization, historical data recording, and remote monitoring capabilities. This research designs a control and monitoring system based on PLC PACSystems RX3i and HMI CIMPLICITY to enhance fire protection system reliability. The Engineering Design Process methodology encompasses system requirement observation, hardware wiring diagram design, and PLC programming using Function Block Diagram and Ladder Diagram according to IEC 61131-3 standard [1]. HMI was designed using CIMPLICITY software featuring real-time monitoring, manual/automatic control modes, alarm and event viewer, and trending displays for pressure, level, and flow data. The system controls four pumps: jockey pump, electric pump, diesel pump, and supply pump, implementing pressure-based pump sequencing and level-based control logic according to NFPA 20 requirements [2]. Laboratory testing employed combined methods of 4-20 mA current injection with Fluke 715 calibrator [3], direct testing with actual devices, and digital signal simulation. Results demonstrate successful pump operation according to setpoints with maximum reading errors of 0.1% for pressure, 0.06% for level, and 0.04% for flow. All control functions for automatic mode, manual mode, alarms, trip reset, and VFD frequency regulation operate according to established requirements.
Comparative Performance of YOLO Versions for Pallet Detection SCARA Robot Dilham Hidayatul Fajri; Risfendra
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/05dbyr50

Abstract

The rapid evolution of the You Only Look Once (YOLO) object detection family from YOLOv8 to YOLO26 has produced architecturally diverse models whose relative suitability for structured industrial detection tasks remains unevaluated. This study aims to conduct a controlled comparative performance evaluation of six YOLO variants (YOLOv8, YOLOv9, YOLOv10, YOLO11, YOLOv12, and YOLO26) on an industrial pallet detection dataset to identify the optimal model for Vision-Guided Robotics (VGR) pick and place automation. All models were trained under identical conditions 50 epochs, batch size 16, 640×640 input resolution on a dataset of 4,366 annotated images across three classes (pallet_pick, pallet_place_1, pallet_place_2) using a 70/20/10 train/validation/test split. Performance was assessed using Precision, Recall, mAP@0.5, mAP@0.5:0.95, and training time. All six models achieved perfect Precision (1.0000), Recall (1.0000), and mAP@0.5 (0.9950). Differentiation emerged at mAP@0.5:0.95, where YOLOv9m achieved the highest final-epoch value (0.9776) and YOLO26m achieved the highest peak value (0.9805) with the fastest training time (80.8 minutes, 26.3% faster than YOLOv8). YOLO26 is recommended as the optimal model for industrial pallet detection, offering the best combination of localization accuracy, training efficiency, and deployment readiness through its NMS-free and DFL-free architecture.
Digital bracelet guidance Qibla direction for the blind Irvan Sofianto; mukhlidi Muskhir
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/gaadq702

Abstract

The determination of the Qibla direction is a crucial preliminary step for Muslims prior to prayer. However, individuals with visual impairments frequently encounter challenges in accurately identifying this direction. To address this issue, this research proposes the development of a digital Qibla direction guide bracelet, which aims to facilitate the navigation of blind individuals towards the Qibla direction with greater precision and ease. The system employs an Arduino Nano as the primary microcontroller, a GPS sensor to ascertain the user's location, and a compass sensor to identify the Qibla direction. Moreover, a buzzer is employed as a feedback mechanism, emitting a vibration signal or sound upon the successful determination of the Qibla direction. The experimental outcomes demonstrate that this bracelet is capable of accurately detecting the Qibla direction and providing clear and readily comprehensible guidance for the visually impaired. This bracelet is anticipated to serve as a practical and efficacious solution, enabling the blind to engage in worship with greater autonomy and comfort
Fuzzy Logic–Based Greenhouse Temperature Control for Tropical Tomatoes Using ESP32 Arthoriq Daffa Oliyan; Dwiprima Elvanny Myori
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/heyygt41

Abstract

Greenhouses play a crucial role in maintaining optimal environmental conditions for tropical tomato cultivation. However, temperature fluctuations in tropical climates often reduce crop quality and productivity. This study aims to design an automatic temperature control system based on the ESP32 microcontroller using the Mamdani fuzzy logic method to maintain stability within the optimal range of 25–30°C. The system employs a DHT11 sensor for temperature measurement, a relay to control the heater, and an L298N motor driver to regulate the cooling fan. Temperature data are displayed on a TFT screen and transmitted via Wi-Fi to the Blynk application for real-time remote monitoring. Experimental results show that the system maintained temperature stability with an average deviation of –0.8°C from the 30°C setpoint and response times ranging from 5 to 109 seconds. The fuzzy logic algorithm successfully adjusted fan speed (50–225 PWM) and heater status adaptively, making the system more efficient than conventional fixed setpoint control. Furthermore, wireless communication through Blynk demonstrated low latency (<6 seconds) and accurate data synchronization. Therefore, this system can improve energy efficiency, reduce manual supervision, and support optimal growth of tropical tomato plants in greenhouses
IoT-based smart home system design for real-time control of household electrical devices haudia syifa; Ta ali
Journal of Industrial Automation and Electrical Engineering Vol. 3 No. 1 (2026): Vol 3 No 1 (2026): June 2026
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pk8v4t43

Abstract

The development of Internet of Things (IoT) technology has fostered the emergence of smart home concepts that enhance efficiency and convenience in controlling household electrical appliances. This study presents the design of a smart home system based on the ESP32 microcontroller integrated with a relay module to control electrical devices either locally via a TFT ILI9341 touchscreen display or remotely through a Node-RED dashboard using the MQTT protocol. The system is equipped with a PZEM-004T sensor to measure electrical parameters and a DHT11 sensor to monitor temperature and humidity, with real-time data visualization provided on both the touchscreen and the IoT dashboard. Experimental results demonstrate that the system delivers fast response control, reliable monitoring accuracy, and supports household energy efficiency by enabling more effective electricity consumption monitoring.

Page 14 of 14 | Total Record : 136

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