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Variable speed control of DC motor  using four quadrant controlled rectifier based on Human Machine Interface Muhammad, Razi; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Various industrial equipment uses dc motors as its drive. In order for the dc motor to operate as needed, it needs to be controlled. Some of the controls applied to dc motors include control of rotation direction, speed, braking, and starting current starting. This paper proposes controlling the speed of the dc motor using a 4-quadrant controlled rectifier or phase controller using a programmable logic controller (PLC) and human machine interface (HMI) as the control center. The system design is implemented on a 1.3 HP separate amplifier dc motor. The proposed control system design is tested and validated at varying speeds. Variations in motor speed are set on the HMI screen according to needs. The test results show that the design of the dc motor speed control system using a four quadran phase controller has worked as desired. The speed of the motor can be controlled through the HMI display
Electronic devices for monitoring water pH, Humidity, and Temperature control in Agro-Hydroponic Businesses Firmansyah, M.Erdian; Muskhir, mukhlidi; Mukhaiyar, Riki; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/f34zje57

Abstract

Increasing the cultivation of hydroponic plants presents challenges, particularly in monitoring water pH and controlling temperature and humidity in hydroponic farming, which are often neglected. The lack of proper monitoring can significantly impact hydroponic plant growth. This issue arises due to the reliance on manual checks, which prevents real-time and efficient monitoring. This research employs a comparative method to analyze water pH levels using both a water pH sensor and a pH meter. For temperature and humidity monitoring in the hydroponic plant area, the study compares the readings of the DHT22 sensor with online weather data, both monitored anytime via a web server. Temperature and humidity data can be accessed at any time, but the focus of comparison is on daytime, as temperature and humidity fluctuations are more drastic, with temperatures exceeding 30°C. The purpose of this test is to determine the water pH level as well as the temperature and humidity conditions suitable for hydroponic farming. Based on observations, the developed system enables real-time monitoring via a web server, demonstrating good performance and meeting efficiency objectives in automated temperature and humidity control. The implementation of this system is expected to be expanded in the future, providing a viable solution for users and enhancing process efficiency in related fields
Monitoring cameras for violations in the use of personal protective equipment Maulana Rasiddin, Muhammad; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/k6kjzn25

Abstract

Work Safety is an activity and effort to create a safe work environment, preventing all forms of accidents. To implement safe actions for workers, Personal Protective Equipment (PPE) is needed for workers to protect someone in doing their work. This Personal Protective Equipment (PPE) monitoring system begins by turning on the system by flowing the power supply to the system. Then the system is set via an access point via WiFi to be able to set the system on the microcontroller GUI. Then by selecting to activate "Motion Detect" and "Auto Upload" on the GUI, the system will automatically detect all movements within the range of the camera sensor. Furthermore, the system saves the video image of the object's movement in the memory on the system and will then be uploaded to a personal computer that has been set as an FTP server. After the personal computer saves the video image, the personal computer then sends the video image to the roboflow platform server. And when the video image is sent to the roboflow platform server, the video image is classified and labeled according to the dataset that the author created in the previous python programming. And finally, the video image that has been classified and labeled is stored again in the directory that has been specified in the programming
DC motor control using a four-quadrant chopper based on artificial neural networks Rahmad, Rahmad Rizki; Hendra, Ayu; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/q4vshv30

Abstract

DC motors are widely used as drives in various industrial applications. To ensure optimal performance, precise control of DC motors is essential, including managing rotation direction, speed, braking, and starting current. This paper presents a speed control system for a DC motor using a 4-quadrant DC chopper with a neural network as the control core. The system is designed and implemented on a 12V DC motor and tested under varying speed conditions. Motor speed is adjusted in MATLAB Simulink according to operational requirements. The results confirm that the proposed DC motor speed control system, utilizing a four-quadrant chopper, functions effectively, providing accurate speed control through MATLAB Simulink.
Control and monitoring system of Railway level crossings for traffic safety based on IoT Lovella, Nadillah; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/x5bq5n96

Abstract

Accidents at railroad crossings still frequently occur due to the negligence of road users and the lack of an optimal security system. This study aims to design a prototype of an Internet of Things (IoT)-based level crossing monitoring and control system to improve traffic safety. This system uses an ESP32 microcontroller as the control center, an HC-SR04 ultrasonic sensor to detect the arrival of the train, a servo motor as a driver for the automatic barrier gate, and Blynk IoT as a remote monitoring and control platform. The research method used is the waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The results of the study show that the developed system can work automatically in detecting train arrivals, displaying crossing status on a 16x2 LCD, and providing warnings via LED indicators and buzzers. In addition, users can control the gate manually through a Blynk-based application. Based on the tests conducted, the system has a good level of accuracy in detecting the presence of trains and responding to commands from the application with a response time of less than 1 second. Thus, this prototype is expected to be an innovative solution to improve safety at railroad crossings and reduce the risk of accidents due to human error
Control of  buck boost converter with Mamdani Fuzzy inference system using Microcontroller Arduino Syafyutina, Rahmat Alwafi; Yuhendri, Muldi; Dewi, Citra; Hendra, Ayu
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/2hs6xn51

Abstract

Various electrical equipment utilizes direct voltage (DC) as a power source. Examples of this equipment include various electronic devices as well as DC motors and others. The direct voltage used usually has various ratings, ranging from 1.5 volts to 12 volts, and other numbers. To ensure that the direct voltage is in accordance with the tool's needs, it is necessary to control this voltage. This control is generally carried out using a power converter. In this research, buck-boost converter output voltage control will be implemented using the Fuzzy Mamdani method with an Arduino Atmega 2560. The control system developed will be tested through experiments in the input voltage range between 12 to 24 Volts, with a maximum output of 18 Volts. The experimental results show that the Fuzzy Mamdani based buck-boost converter output voltage control system successfully regulates the output voltage according to the desired reference value
Control system of Dahlander Motor using Programmable Logic Controller based on Human Machine Interface and Internet of Things ALWI, ZIKRI; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/varsnj09

Abstract

The Dahlander motor is a three-phase induction motor capable of operating at two distinct rotational speeds by altering the stator winding configuration between star (Y) and delta (Δ). This dual-speed feature is essential for industrial machines such as cranes, lathes, and conveyors that require variable speed operation. However, conventional manual control methods are still widely used, posing risks to operational efficiency and safety. This study presents the design and implementation of an automated control system for a 1.3 kW Dahlander motor using a Siemens S7-1200 Programmable Logic Controller (PLC), a KTP 700 Comfort Human Machine Interface (HMI), and an Internet of Things (IoT) platform based on Node-RED. The system supports remote control via HMI panels, personal computers, and smartphones through a web-based interface using the Profinet protocol. The control logic is developed in the TIA Portal environment, enabling selection between low-speed and high-speed modes. Experimental results demonstrate that the system effectively controls motor speed with accurate and stable operation. The integration of HMI and IoT provides real-time remote monitoring and control capabilities, enhancing operational reliability and minimizing human error. This integrated system offers a cost-effective and adaptive solution for local industries, especially small and medium-sized enterprises, to embrace Industry 4.0 technologies  
Weather monitoring for local area based on Lora module using STM32 Microcontroller Saputra, Rifaldo; Yuhendri, Muldi; Mukhaiyar, Riki; Ranuharja, Fadhli
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/xhczhj17

Abstract

The need for an efficient and reliable weather monitoring system in areas with limited communication infrastructure has led to the development of an Internet of Things (IoT)-based solution utilizing LoRa (Long Range) technology. This study presents the design and implementation of a local-area weather monitoring system using the STM32F103C8T6 microcontroller and the LoRa RA-02 communication module. The system monitors environmental parameters such as temperature, humidity, wind speed, and air pressure using various sensors including DHT-21, BMP280, A3114, and INA219. Sensor data is collected by the transmitter node and sent via LoRa to a receiver node equipped with an ESP32 microcontroller. The receiver processes the data and sends it to the Blynk IoT platform and Google Sheets for visualization and storage. Experimental results show reliable transmission over distances up to 530 meters in dense environments and 2 kilometers in open areas. The system demonstrated low power consumption, making it suitable for solar-powered applications. The proposed solution is practical, flexible, and cost-effective, providing valuable support for weather-dependent decision-making in remote locations..
Speed Control of DC Motor using Four-Quadrant Rectifier based on Internet of Things Gozi, Muhammad; Yuhendri, Muldi
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/46a3x679

Abstract

DC motor is one of the important components in various industrial and automation applications due to its ability to provide precise speed control. This research aims to design and implement a DC motor speed control system using a four-quadrant rectifier based on the Internet of Things (IoT). This system allows the DC motor to operate in four quadrants, namely forward motor, reverse motor, forward regenerative, and reverse regenerative, thus providing flexibility and efficiency in controlling speed and rotation direction. By utilizing IoT technology, motor control can be done wirelessly through web-based applications or mobile devices, enabling real-time remote monitoring and control. The test results show that the system is able to accurately control the speed of a DC motor according to a given reference value, and can adapt to changes in load. The use of this IoT-based four-quadrant rectifier is expected to improve energy efficiency, operational flexibility, and ease of integration in modern automation systems.
Servo motor control in a color-based sorting system using the Internet of Things (IoT) Maulida, Hilda; Yuhendri, Muldi; Tri Putra Yanto, Doni; Mirshad, Emilham
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp8-14

Abstract

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.
Co-Authors Adtrizal Lindo Agung Satria Ahyanuardi Ahyanuardi Al Amin, Athah Alham Ali ALWI, ZIKRI Anne Fadia Ikhfa Aprilianty, Resti Ari Anggawan Arief, Fashly Aslimeri Aslimeri, Aslimeri Asnil Asnil Aswaldi Alfaris Aswardi Aswardi Athaya Atsiq Aulia Rahman Azar Ihsan Azizah, Farah Azzikri, Muhammad Fadhel Candra Riawan, Dedet Citra Dewi Citra Dewi Diffa, Allif Khairul Doni, Dona Dori Yuvenda Dwi Junita, Revidadina Dwi Kurniawan, Bintang Dwi Saputra, Robi Efianti, Weli Eko Solihin Elda Permata Sari Elda Permata Sari Emilia Mustafa Fadhli Ranuharja Fahmi Idris Faradina, Nevi Farahilla, Wahyu Fatimah Hanifah Febri Angriawan Febri Rahmadi Firmansyah, M.Erdian Gatot Santoso Putra Gozi, Muhammad Habibullah Habibullah Hambali Hambali Hambali Hambali Hambali Hambali Haris Masrepol Hendra, Ayu Ikhfa, Anne Fadia Ikhsan Rifaldo Ikhwani Ikhwan Ilham Kurniawan Irma Husnaini Irvan Zakaria Candra Ishlah Fain Sanul Iskandar, Adrian Juli Sardi Khulkhairat, Delvira Kurnia Deca Nevil, Prayoga Larra Oktavia Lovella, Nadillah Luthfil Hirzan M Heycal Ridwan Maulana Rasiddin, Muhammad Maulana, Iqbal Dafri Maulida, Hilda Mauridhi Hery Purnomo Minsandi, Ayub Mirshad, Emilham Mochamad Ashari Muhamad Ilham Esario Muhammad Padri Muhammad Rezky Muhammad Zein, Habibi Muhammad, Razi Muhammmad Zainul Fikri Muhibbudin, Muhibbudin Mukhaiyar, Riki Muskhir, Mukhlidi Nabila Binti Mohamed, Nur Nahydatul Hami Najmi, Muhammad Nila Gusriani Nugraha, Ksatria Olivia, Fanessa Peri Peri Purwantono, Purwantono Putra, Randi Purnama Rahma Putri, Nadila Rahmad, Rahmad Rizki Rahmat Hidayat Rahmawati Mayangsari Raihan Alfiansyah, Muhammad Randaka Saputra Randy Setiawan Randy Yonanda Pratama Rasyid, Hambali Reni Putri Mayenti Riadotul Jannah Ridwan, Ainul Rijeng Firanda Risfendra, Risfendra Romi Fadli Romi Fernandes Rotua Oktaviana Siahaan, Yosephine Salihul Fajri Saputra, Rifaldo Sari, Elda Permata Selfi Harowanti Shandy Oktafianto Pratama Simanullang, Aldi Simon Padri P Sonia Anjeli Sukardi, Sukardi Syafitri, Muharani Syafyutina, Rahmat Alwafi Syarah, Ullya Ta ali Taali, Taali Tri Yogi Putra Trivaldo Putra Ulandari, Putri Widya Anggraini Yanto, Doni Tri Putra Yelfianhar, Ichwan Yudi Ari Putra Yulia Dwi Satriani Yulianta Siregar