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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal SOLMA Jurnal Pendidikan Teknologi Informasi dan Vokasional Widyariset JTEIN: Jurnal Teknik Elektro Indonesia Journal of Civil Engineering and Vocational Education Journal of Industrial Automation and Electrical Engineering
Mirshad, Emilham
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IoT Based Digital Weight Scale in Rice Inventory for Small and Medium Entreprises Assidiq, Muhammad; Yelfianhar, Ichwan; Mirshad, Emilham
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

In the current digital era, Internet of Things (IoT) technology offers innovative solutions to increase efficiency and accuracy in various sectors, including the rice sales business. This journal discusses the design of IoT-based scales specifically designed to help with bookkeeping in rice sales businesses. The main objective of this research is to develop a weighing system that can automatically measure the weight of rice and integrate it with a digital bookkeeping system, thereby minimizing manual errors and increasing operational efficiency. The research methodology includes design of weighing hardware and software, implementation of weight sensors, and development of IoT applications that connect scales with bookkeeping systems. The system is designed to send real-time weight data to a cloud-based bookkeeping platform, enabling more accurate and faster monitoring and reporting. Test results show that this IoT-based scale can provide weight data with high accuracy and seamless integration with the bookkeeping system. Users report increased efficiency in the process of recording and managing rice sales data. In conclusion, IoT-based scales offer an effective solution for modernizing the bookkeeping process in rice sales businesses, supporting better decision making and improving the accuracy of financial reports.
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.
Monitoring and control of material surface evenness in the Dosimat Feeder Hopper at Finish Mill V PT Semen Padang Nafisa, Rahmi; 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.pp127-136

Abstract

The dosimat feeder is a device used to weigh additional materials before entering the mill for grinding. It includes a hopper that functions as temporary storage before the material is transferred to the belt conveyor. The main issues addressed in this study are frequent material shortages that can disrupt industrial operations, and uneven filling that may affect system performance and reduce production efficiency. This research adopts the Research and Development (R&D) method, aiming to develop a product and evaluate its effectiveness. The system is designed using an Arduino Uno microcontroller to process data from sensors. Ultrasonic sensor 1 is configured to control material filling, while ultrasonic sensors 2, 3, and 4 are used to monitor material evenness, with a maximum distance tolerance of 2 cm for ultrasonic sensor 1. A DC vibrator motor is activated when the material inside the hopper is detected to be uneven. The results of the study show that the material level and surface flatness status are successfully displayed on a 16x2 LCD.
Arduino-based control and monitoring system for minimum material weight on Belt conveyor Dosimat Fedder at PT. Semen Padang Albaihaky, Rahul; 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.pp41-47

Abstract

The Dosimat feeder is a device used to accurately weigh additional materials before they enter the mill for the grinding process. The Dosimat feeder adjusts the material weight by increasing the motor speed when the hopper does not release supplementary materials such as gypsum. This research employs the Research and Development (R&D) method, which aims to produce a specific product and test its effectiveness. The results show that the measured weight data is displayed on a 16x2 LCD via an I2C module. A buzzer activates when the material weight drops below 331 grams, and the motor stops until the minimum weight is reached. Testing indicates that the load cell has an average accuracy of 98% (with an error margin of 0.6%–5%) for weights ranging from 100 to 400 grams. Motor speed decreases from 32 rpm (at 360 grams) to 21 rpm (at 480 grams) as the load increases. The system operates optimally when Dosimat 2 and 3 are active and all three LEDs are on, thereby improving production efficiency and preventing losses due to material shortages.
Motor control system and material direction of belt conveyor on Dosimat Feeder based on IoT with ESP32 at PT Semen Padang Rinaldi, Thaufik Qurrhahim; 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.pp203-211

Abstract

Uneven material distribution on the dosimat feeder belt conveyor at PT Semen Padang causes the belt to tilt, resulting in material spillage and decreased production efficiency. To address this issue, an Internet of Things (IoT)-based control system was designed to detect belt tilting and automatically guide the material back to the center of the belt. This system utilizes an ESP32 microcontroller, a load cell sensor to read load distribution, four limit switches (two for detecting tilting and two for detecting material that veers off the track), two servo motors to direct material from the right and left sides, and a buzzer to provide an alert when material goes off the track. Real-time monitoring is conducted through the Blynk platform. Testing results showed that the load cell sensor had an average error of 1.68%, with the highest error of 3.3% at a 100-gram load and the lowest error of 1.17% at 200 and 400 grams. The limit switches for tilt detection were activated at an 85-gram load to trigger the servo, while the limit switches for material off-track were activated at a 100-gram load to stop the system and activate the buzzer. This system has proven effective in reducing material loss and improving production efficiency.
IoT-based material height monitoring and temperature-humidity control system with ESP32 on a Dosimat Feeder Hopper at PT. Semen Padang Illahi, Zikri; 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.pp159-169

Abstract

A hopper is a temporary storage container for rock material before it is fed by a feeder into a crusher. At PT Semen Padang, monitoring of material in the dosimat feeder hopper is still local, limiting supervision flexibility and response time, as well as lacking temperature and humidity control, which can degrade sensitive materials such as gypsum. This study aims to design an integrated system using Internet of Things (IoT) technology to overcome these limitations. The system employs an ESP32 microcontroller as the main processor, using an HC-SR04 ultrasonic sensor to measure material height and two DHT22 sensors to monitor temperature and humidity. Based on sensor readings, the ESP32 controls a DC motor for the filling conveyor and fans for cooling through a relay module. Real-time data visualization is implemented via the Blynk IoT platform for remote monitoring. Testing shows that the HC-SR04 sensor has an accuracy of 95.44%, while the DHT22 sensor achieves 98.62% accuracy. The automatic control system worked correctly according to logical conditions, and the configuration using four fans proved most effective for reducing temperature. Data transmission to Blynk was successful and consistent. In conclusion, the IoT-based monitoring and control system enhances operational efficiency and material quality in industrial settings. It provides a reliable model for implementing remote monitoring and automation, supporting modernization in similar industrial processes through improved supervision, environmental control, and system responsiveness
Internet of Things based solar panel cooling and monitoring system Febiola, Anjelika; Dewi, Citra; Mirshad, Emilham; Mulya, Rudi
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.pp128-226

Abstract

Solar energy is one of the renewable energy sources that has great potential in Indonesia, due to its abundant availability and zero greenhouse gas emissions. However, the performance of solar panels can degrade due to high temperatures generated by continuous exposure to sunlight. This research aims to design and implement an effective cooling system to increase the output power of solar panels. The system is designed with a real time remote monitoring feature using the Blynk application, and is equipped with an automatic data logging  system  into  Google  Sheets.  The  cooling  mechanism  is carried out by spraying water onto the surface of the solar panel which is activated based on a predetermined temperature threshold value (set point). The test results show that the system is able to reduce  the  panel  temperature  by  5.46°C  and  increase  the  output power  by  1.76  W.  The  ratio  of  power  increase  to  temperature decrease is recorded at 3.1 W/°C, which proves that the system is effective   in   keeping   the   panel   temperature   below   40°C   and contributes significantly to the improvement of solar panel performance
Co-Authors Afif Rahman Riyanda Albaihaky, Rahul Ambiyar, Ambiyar Arbi, Yaumal Arifin, Ari Syaiful Rahman Assidiq, Muhammad Asyani, Emil Hani Candra, Oriza Citra Dewi Darmansyah Desky, Abdul Habib Arrasyidi Deviana, Betty Ermawalis Fadhli Ranuharja Febiola, Anjelika Fetri Yeni J Fiona Fitra Rifwan Illahi, Zikri Maulida, Hilda Muldi Yuhendri Nafisa, Rahmi Nevy Sandra Nidal Zuwida Rayendra Rinaldi, Thaufik Qurrhahim Rudi Mulya Saari, Erni Marlina Binti Sudianti, Nani Verawrdina, Unung Welda Ningsih Yanto, Doni Tri Putra Yelfianhar, Ichwan Yolarita, Elsa Yudhi Diputra Zen, Zelhendri Zen, Zulhendri