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All Journal Techno.Com: Jurnal Teknologi Informasi G-Tech : Jurnal Teknologi Terapan Jurnal Indonesia Sosial Teknologi
Denny Irawan
Universitas Muhammadiyah Gresik, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Three Phase Motor Speed Monitoring and Control System Using Raspberry Pi and Node RED in Molding Production at PT XYZ Muhammad Nashruddin Alie; Denny Irawan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7514

Abstract

PT XYZ is a company that produces the largest automotive tools in Gresik. In producing the tool, a molding process is needed as a mold maker. In the molding process at PT XYZ, furan resin is used as a bonding agent and mixed with a catalyst in the appropriate proportion to produce a sand mold. Three-phase motor speed control in the molding process is very much needed so that the production process reaches maximum targets. The use of VFD in motor speed control can facilitate operators in the process of mixing materials for molding. Raspberry Pi combined with Node RED is an alternative as a cheap and efficient 3-phase motor speed monitoring and control system. The speed control of 3 phase motors on VFD can be done using Raspberry Pi with the help of Node RED as a communication bridge with VFD with Modbus protocol. The speed of 3 phase motors on VFD has an error percentage of 1.362% when compared to the UNI-T 373 tool. So that the monitoring and control system of 3 phase motors using Raspberry Pi and Node RED in molding production at PT XYZ is in accordance with the researcher's expectations and the system that has been designed can be implemented at PT XYZ.
Fertilizer Factory Port Conveyor Optimization Design System With Outseal PLC and HMI Rovi Maulidani Syela; Denny Irawan
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8073

Abstract

The development of automation systems in industry is increasingly rapid, especially in the field of material control and distribution. Automation systems are designed to simplify human work and stabilize the performance of industrial machines to be more efficient and reliable. This article discusses the design and implementation of a prototype of an automatic conveyor system in the port area that functions to support the material distribution process to the fertilizer factory. This system uses the Outseal Nano Programmable Logic Controller (PLC) as the main controller and the Haiwell Human Machine Interface (HMI) as a remote monitoring and control system. The main objective of the design is to reduce buildup and prevent material spillage during the transportation process from the port to the production area. Test results show that the automatic conveyor system is able to operate stably at an operational temperature of 45°C and a Moisture Quantity (MQ) value of at least 30%, without significant disruption to the transportation process. The implementation of this system resulted in an increase in material distribution efficiency of 27.8% compared to the manual system, and reduced material handling time by up to 22%. In addition, the error rate in material distribution was reduced by up to 15%, which contributed to increased accuracy and work safety in the port area. Overall, this automation system has been proven to increase the efficiency and reliability of the material distribution process, as well as being an effective solution to overcome logistical and operational problems in the port industry environment.
Design and Build Noise and CO2 Control Devices in IOT (Internet of Things) Based Libraries Abdullah Ni’am; Denny Irawan
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 6 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i6.1129

Abstract

The library is a source of knowledge, information, and support for learning. It is equipped with facilities to support comfort and maintain concentration while carrying out activities in the library. For human resources to progress further, libraries must be made as comfortable as possible to support learning. This study aims to design a noise and CO2 control device in an IOT (Internet of Things) based library by using 4 sound sensors KY-037 to detect noise and 1 MQ-135 sensor to detect CO2 gas. This research method uses a literature review study. The noise and CO2 control device in the IOT (Internet Of Things) based library has been completed and can work as planned, the accuracy obtained from the KY-037 sound sensor is quite high, which is 97.6%. However, the good thing is that if the sensor accuracy is improved again, the accuracy obtained from the MQ-135 sound sensor is also quite high, which is 99.16%. Conclusion If the accuracy of the sensor is improved again, the web server runs smoothly using AJAX (Asynchronous et al.) so that the resulting website does not need to load the entire page and the ESP32 as a microcontroller can control the entire system well.
Prototype Development of RFID-Based Truck Load Data Collection Tool with Smart Calibration and HMI Methods Muhammad Erik Ardiansyah; Denny Irawan
Techno.Com Vol. 25 No. 2 (2026): May 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i2.16049

Abstract

With the advancement of technology, humans are also required to adapt to these advancements. The industrial sector is one sector significantly impacted by this technological development, from increasingly sophisticated production machines to increasingly flexible attendance systems for employees. However, amidst this technological advancement, the author found several aspects impractical in its application. One example is the use of paper documents for loading and unloading trucks. The use of paper documents can complicate the loading and unloading process, as paper documents have several weaknesses, such as water fading, tearing, forgery, and other weaknesses not included in this study. Based on these issues, the researcher taking the initiative to create a prototype of an RFID-based truck load data collection tool with smart calibration and HMI that facilitates truck drivers and warehouse personnel in the loading and unloading process. The system researcher designed consists of an RFID sensor connected to an Haiwell Scada.   Keywords - Paper, RFID, Prototype, smart calibration, HMI, Truck
Android Based Li-Ion Battery BMS Protection Erisika Dian Samudra; Denny Irawan
Techno.Com Vol. 25 No. 2 (2026): May 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i2.16138

Abstract

Along with the growing demand for energy in portable devices and modern energy storage systems, lithium-ion (Li-Ion) batteries have become one of the primary solutions due to their high energy density, efficiency, and long cycle life. However, this type of battery is highly sensitive to conditions such as overcharging, over-discharging, high temperature, and voltage imbalance between cells, which can significantly reduce performance and lifespan. To address these issues, an intelligent monitoring and protection system known as the Battery Management System (BMS) is required. In this study, an integrated IoT-based monitoring system using the Blynk platform was developed to enhance the BMS monitoring functionality for Li-Ion 18650 battery packs in real-time and remotely. The proposed system utilizes an ESP32 microcontroller as the main controller connected to current, voltage, and temperature sensors. The measurement data are transmitted via Wi-Fi to the Blynk Cloud server and displayed through the Blynk IoT mobile dashboard. This research adopts an experimental and implementation approach. The developed system successfully monitored voltage, current, temperature, and SoC in real time through the Blynk IoT platform while executing automatic protection under abnormal conditions.   Keywords - Battery Management System, Li-Ion 18650, Internet of Things, ESP32, Blynk IoT
IoT-Based Automatic Irrigation System with Reinforcement Learning for Water Optimization Naufal Arief Baihaqi; Denny Irawan
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8376

Abstract

Water efficiency in agriculture plays a crucial role in addressing climate change and freshwater scarcity challenges. Conventional irrigation systems often result in excessive water usage due to non-adaptive watering schedules. This study proposes an adaptive automatic irrigation system based on the Internet of Things (IoT) integrated with the Reinforcement Learning (RL) Q-Learning algorithm to optimize water usage. The system utilizes an ESP32 microcontroller connected to DHT22 and YL-69 sensors for real-time monitoring of temperature, humidity, and soil moisture, with data transmitted to the Firebase Realtime Database. The system was experimentally tested for 30 days under three soil moisture conditions with repeated measurements, resulting in an average sensor accuracy of 97.9% and a 70% reduction in daily water consumption compared to manual irrigation. The implementation of RL enables the system to autonomously adjust irrigation decisions based on environmental dynamics while providing remote monitoring via a web dashboard. The results demonstrate that the proposed IoT-RL solution offers an effective, intelligent, and sustainable approach for improving agricultural water resource management.
Co-Authors Abdullah Ni’am Erisika Dian Samudra Muhammad Erik Ardiansyah Muhammad Nashruddin Alie Naufal Arief Baihaqi Rovi Maulidani Syela