Journal of Industrial Automation and Electrical 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.
Articles
125 Documents
<![CDATA[Servo motor control in a color-based sorting system using the Internet of Things (IoT) ]]>
<![CDATA[Maulida, Hilda]]>;
<![CDATA[Yuhendri, Muldi]]>;
<![CDATA[Tri Putra Yanto, Doni]]>;
<![CDATA[Mirshad, Emilham]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp8-14
<![CDATA[Penyortiran barang secara manual berdasarkan atribut warna rentan terhadap kesalahan dan memakan waktu. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem penyortiran otomatis menggunakan Siemens S7-1200 PLC, motor servo SIMOTICS S 1FL6, sensor warna GDS3011W untuk deteksi hitam-putih, dan sensor fotolistrik E3F-DS30C4 untuk deteksi keberadaan objek. Sistem ini memiliki mode operasi otomatis dan manual, dikontrol melalui Simatic KTP 700 Comfort HMI, dan mendukung pemantauan jarak jauh melalui Node-RED sebagai platform IoT. Metode pengujian melibatkan validasi posisi motor servo menggunakan busur derajat dan pengukuran kecepatan putar dengan takometer digital. Hasil penelitian menunjukkan bahwa motor servo berhasil menggerakkan tabung putih ke sudut -90° seperti yang diperintahkan dan kembali ke 0° setelah penundaan 5 detik, mempertahankan kecepatan putar 200 mm/s. GDS3011W dan sensor fotolistrik beroperasi dengan andal dalam rentang deteksi yang ditentukan. Integrasi IoT memungkinkan pemantauan waktu nyata terhadap kuantitas dan status objek yang diurutkan.]]>
<![CDATA[Real time control of buck converter with Sugeno Fuzzy Inference System using Arduino ]]>
<![CDATA[Iskandar, Adrian]]>;
<![CDATA[Yuhendri, Muldi]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/0zr57j76
<![CDATA[As time progresses, technology for electrical and electronic equipment also develops very rapidly, generally these electronic devices use electrical energy as a source, energy sources also vary from high voltage for industry and low voltage for household appliances. There are two types of voltage, namely direct and alternating. This direct voltage can be obtained from a DC generator, battery, or AC voltage that is directed to DC. In general, a buck converter has the meaning of reducing DC to DC voltage which has two types of storage, namely capacitor and inductor, thus producing a small ripple value. To be able to get the appropriate voltage value, the output value needs to be set via the Simulink Matlab program, namely Sugeno Fuzzy Inference System. Buck converters that have been set using different settings are different from those that have not been set using fuzzy. Buck converter circuits that do not use a control system only reduce the voltage according to the existing results and if you want to change the output results then we have to change the duty cycle value manually of course this will not be effective in the long term or using the tool periodically whereas if you use a fuzzy control system We can set the output value of the buck converter according to what we need]]>
<![CDATA[Elderly Health Monitoring System based on IoT ]]>
<![CDATA[Dzaky, Rafif]]>;
<![CDATA[Dewi, Citra]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp22-28
<![CDATA[The development of Internet of Things (IoT) technology has opened up great opportunities in improving the quality of health services, especially for the elderly who have a high risk of heart and respiratory disorders. This research aims to design and build an IoT-based elderly health monitoring system that is able to monitor three vital body parameters, namely heart rate and oxygen saturation (SpO₂) in real-time, and provide early warnings if abnormal conditions occur. This system uses MAX30102 sensors to measure heart rate and oxygen saturation. The NodeMCU ESP32 microcontroller is used as a data processing center connected to an I2C LCD for local display, buzzer as an alarm, and Blynk and Google Sheets applications for remote monitoring and data logging. The test results show that the system has a high accuracy rate, with an average accuracy of 98.88% for heart rate, 98.74% for oxygen saturation. The system is proven to work optimally and well integrated, making it feasible to be used as an independent and efficient elderly health monitoring tool.]]>
<![CDATA[Implementation of IC Mux-based data logger in off-grid PLTS ]]>
<![CDATA[Basrah Pulungan, Ali]]>;
<![CDATA[Anugrah, Rizki]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp65-73
<![CDATA[Monitoring the performance of Solar Power Plants (PLTS), especially off-grid systems, requires an effective and efficient data logger solution to collect data from multiple measurement points. Commercial data loggers are often constrained by high costs, limited capacity, and lack of flexibility. This research aims to design and implement a low-cost data logger system based on the CD4051B Multiplexer Integrated Circuit (IC) integrated with an Arduino UNO microcontroller. This system is designed to measure key parameters such as current (ACS712) and voltage (voltage sensor) from eight different channels, as well as environmental parameters (DHT11 and BH1750 sensors). The use of the CD4051B MUX IC allows for significant expansion of the Arduino UNO's analog inputs. Time data accuracy is ensured by the DS1307 Real-Time Clock (RTC) module, and data is stored in an SD card for long-term analysis. This approach is expected to produce an economical, reliable, flexible, and scalable data logger solution to meet the monitoring needs of off-grid PLTS, overcome the limitations of commercial data loggers and support performance optimization and maintenance of renewable energy systems ]]>
<![CDATA[Design and development of automatic Droplet System for Core-Shell Quantum Dot Synthesis ]]>
<![CDATA[Nugraha, Olland]]>;
<![CDATA[Asnil]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp113-117
<![CDATA[The gradual and precise addition of solution is a critical factor in the synthesis of core–shell quantum dots. Manual dripping poses a risk of inaccuracy in both volume and timing, thus an automated system capable of operating stably and programmatically is required. This research aims to design and develop an automatic solution dropping system based on an Arduino Uno microcontroller and a servo motor combined with gear and rack mechanisms. The system is designed to control both the volume and timing of the droplets, with selectable intervals tailored to the synthesis requirements. The main components used include a syringe, servo motor, gears and rack gear as mechanical actuators, along with an LCD and buzzer as user interface and status indicators. Test results show that the system operates automatically according to the set time and can deliver solution droplets with consistent volume. This device is expected to enhance the synthesis process of quantum dots by increasing efficiency, precision, and minimizing manual intervention ]]>
<![CDATA[Analysis and Experimental Study of a Seven level Inverter ]]>
<![CDATA[Putra Wijaya, Voni]]>;
<![CDATA[Asnil]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp144-151
<![CDATA[The demand for electrical energy continues to increase and has become an essential part of daily human activities. To support the use of environmentally friendly energy, the utilization of renewable energy sources such as solar panels is increasingly prioritized. However, since solar panels generate only direct current (DC), a device is needed to convert it into alternating current (AC) to ensure compatibility with most household appliances. Inverters serve as the primary solution for this conversion process. Although full-bridge inverters are commonly used, they still produce a relatively high level of harmonic distortion. Therefore, the multilevel inverter approach is considered more effective in improving the quality of the output voltage. This study proposes the design and implementation of a single-phase 7-level inverter using a cascaded H-bridge topology. This topology was chosen due to its modular structure, which allows for the generation of output waveforms that closely resemble a sinusoidal shape. The system is controlled by an Arduino Mega 2560 microcontroller using a PWM switching technique. Testing was conducted after completing simulation stages using MATLAB/Simulink and building the hardware prototype. Based on the experimental results, the inverter successfully produced stepped waveforms with relatively low harmonic distortion levels, with a current THD of 8.33% and a voltage THD of 23.95%. The system's stable performance indicates that this design has potential for application in small scale renewable energy systems, such as residential solar power generation ]]>
<![CDATA[Servo motor angle control in an automatic droplet system for quantum dot sintesis ]]>
<![CDATA[Al Rasyid, Syahrul]]>;
<![CDATA[Asnil]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp54-57
<![CDATA[ This research aims to develop an automation system in the synthesis process of core-shell quantum dots using the Arduino-based hot injection method. The system is designed to resemble an automatic syringe pump consisting of an Arduino UNO microcontroller, servo motor, LCD, and toggle switch to control the rate of solution injection precisely within a certain time range. The servo motor regulates the movement of the syringe to produce drops of solution according to the selected duration, ranging from 1 to 24 hours. The test results show that the system can execute 21 servo rotations forward at an angle of 22° per rotation and 4 backward at an angle of 115° per rotation, with high accuracy and time stability. The time display on the LCD showed good agreement with the real time, proving the effectiveness of the monitoring and control system. The system was able to improve the efficiency and precision of the QD synthesis process compared to the manual method, and showed great potential in automation applications in the field of materials chemistry]]>
<![CDATA[Home electrical power control and monitoring system based on the Internet of Things (IoT) ]]>
<![CDATA[Aditya, Handre]]>;
<![CDATA[Elvanny Myori, Dwiprima]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp106-112
<![CDATA[The increasing demand for electrical energy in Indonesia is often not balanced with efficiency of use, especially in the household sector. Energy waste due to lack of real-time monitoring and control of electricity consumption is a serious problem. To address this problem, an Internet of Things (IoT)-based home electrical power control and monitoring system has been designed and built. This research aims to develop a prototype system that is able to monitor and control the use of electrical power remotely through applications on smartphones. The system uses an ESP32 microcontroller as the main processing unit, a PZEM-004T sensor to measure electrical parameters such as voltage (Volts), current (Ampere), power (Watts), and energy (kWh), and a relay module to control the flow of electricity to electronic devices. The measurement data is displayed in real-time on the TFT touchscreen LCD screen and the Blynk app on the smartphone, which also serves as a control interface.. With the implementation of this system, it is hoped that it can increase public awareness of the more efficient use of electrical energy and provide solutions in saving electrical energy.]]>
<![CDATA[Remote monitoring of three-phase motor performance through Internet of Things integration with PZEM004T ]]>
<![CDATA[Ulil Amri]]>;
<![CDATA[muldi yuhendri]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp137-143
<![CDATA[Three-phase induction motors are critical components in various industrial applications, driving essential machinery and production processes. Ensuring optimal motor performance requires accurate monitoring of electrical parameters such as current and voltage. Conventional monitoring systems are often costly, inflexible, and lack real-time accessibility. This research proposes the design and implementation of a real-time current and voltage monitoring system for three-phase induction motors using the PZEM004T sensor integrated with the ESP8266 microcontroller and the Blynk IoT platform. The system employs three PZEM004T modules, each dedicated to one phase (R, S, T), to collect electrical data. These values are transmitted wirelessly via Wi-Fi and visualized on both a TFT LCD and the Blynk mobile application. Experimental results demonstrate that the system effectively captures and displays voltage and current values with high accuracy. The measurements for each phase showed consistent readings compared to standard instruments, with total power consumption measured at 1381.66 W and total current at 5.88 A. The system provides real-time data visualization and remote accessibility, enabling users to monitor motor status conveniently and take proactive measures against potential electrical faults. Furthermore, the integration of low-cost components and an open-source platform makes this system a practical solution for industrial environments seeking to enhance operational efficiency and reliability. This research highlights the potential of IoT-based monitoring systems in industrial motor applications and suggests that real-time visibility into motor performance can significantly improve energy management and preventive maintenance strategies.]]>
<![CDATA[Temperature and Salinity Monitoring System for Shrimp Pond Water ]]>
<![CDATA[Zalvi, Rahmat Gilang]]>;
<![CDATA[Basrah Pulungan, Ali]]>
<![CDATA[ Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025 ]]>
Publisher : <![CDATA[Department of Electrical Engineering Universitas Negeri Padang ]]>
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DOI: 10.24036/jiaee.v2.i2.pp36-40
<![CDATA[Shrimp pond productivity is highly dependent on water quality, which is traditionally monitored manually through labor-intensive sampling and testing. This study proposes an IoT-based smart monitoring system to automate the assessment of water quality parameters such as temperature and salinity. The system employs an ESP32 microcontroller integrated with DS18B20 and salinity sensors. Sensor data are displayed in real time via a 4x20 LCD and the Blynk application. Two relays are included to automatically activate the aerator when temperature defined thresholds. Field testing over four days demonstrated sensor accuracy with error rates below 3%, stable data transmission, and effective automation. This system offers a reliable and efficient solution for shrimp farmers to monitor and manage water quality, potentially enhancing aquaculture productivity.]]>
