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INDONESIA
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering)
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 26142589     DOI : 10.26740/inajeee
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
INAJEEE or Indonesian Journal of Electrical and Eletronics Engineering (E-ISSN 2614-2589) is a scientific peer-reviewed journal issued by The Department of Electronics, Faculty of Engineering, Universitas Negeri Surabaya (UNESA). Accepted articles will be published online and the article can be downloaded for free (free of charge). INAJEEE is published periodically (2 issues per volume/year) with 5 articles each time published (10 articles per year). INAJEEE is free (open source) all to access and download. The journal includes developments and research in the field of Electronic Engineering, both theoretical studies, experiments, and applications, including: 1. Electronics Engineering 2. Power system Engineering 3. Telematics 4. Control System Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 9 Documents
 1 
Search results for , issue "Vol. 8 No. 2 (2025)" : 9 Documents clear
Implementation Internet of Things (IoT) in Fire and LPG Leakage Detection System Based on Esp32 with Multiuser Notification Meilinda Mutiara Susilo; Rakhmawati, Lusia
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p59-68

Abstract

The community's late realization of the fire is often a cause of the delayed handling of fires. Therefore, a fire detection system that can be monitored remotely is needed to overcome the delay in handling fires. This study aims to create a fire and LPG leak detection system based on ESP32 with multiuser notification through IoT implementation in a Prototype. The system is installed in a miniature room measuring 30cm x 30cm x 30cm. The fire detection system uses KY-026 sensors, the LPG leak detection system uses MQ-6 sensors, and multiuser notification uses Telegram. The study’s result showed that the fire detection system can detect fire up to a distance of 820cm, has 100% detection accuracy, and uses two sensors can reduce blind spots. The LPG leak detection system can detect small gas leaks up to a distance of 18cm in a miniature room, has 100% detection accuracy, and uses two MQ-6 sensors can speed up the detection. For sending multiuser notifications via Telegram, it has 100% accuracy and a throughput of 22,785 notifications per minute but has a high jitter of 1,238 seconds and a notification delay of between 1,842 and 1,905 seconds.
Micro-Controller Based Biogas Production Monitoring System Junus, Mochammad; Dhea Rahman, Akbar; Fikri Shodiq, Ridhofir
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p69-75

Abstract

Biogas still has limitations in monitoring gas quality parameters and mobility. This research aims to design an IoT-based mini biogas reactor equipped with a contaminant purification system, wheels for mobility, and a solenoid valve for automatic gas flow and integrated sensors to optimize biogas production and safety. The prototype is designed by integrating MQ-4 (CH₄), MQ-135 (CO₂), MPX5700AP (pressure), and DS18B20 (temperature) sensors connected to an Arduino nano. Sensor data is processed in real-time and displayed on a 20x4 LCD, while a SIM800L GSM module sends data via SMS periodically. The stepwise purification system using activated carbon successfully increased the purity of CH₄ from 55% to >70%. This research proves that IoT integration, automatic purification can be an innovative solution to improve production efficiency, safety, in rural and livestock environments. Keywords: Biogas, IoT, Arduino, Gas Purification Gas, Sensor Gas, Real Time.  
IoT-Based RFID System for Automated Inventory Management at Depo Train Surabaya Pasar Turi Amelia Salsabila; Anifah, Lilik
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p76-83

Abstract

The development of technology in the field of IOT can help human work, especially in the process of data collection of goods. The manual process of data collection of goods often experiences problems such as human error, insecure data, and low efficiency levels. To overcome this, this research designs an IoT-based goods data collection automation system using RFID. This system consists of ESP32 microcontroller as the control center, RFID for item identification, Google Spreadsheet for real-time data storage, and Telegram as an automatic notification. Equipped with keypad for NIPP input, buzzer as audio indicator, and LCD for information display. The test results showed 100% accuracy of item data collection through a trial of 15 items, with an average Google Spreadsheet data update time of 3.01 seconds and Telegram notifications successfully sent in an average time of 3.08 seconds. This system is expected to improve accuracy, efficiency, and security in data collection of goods, thus supporting the operation of PT KAI facilities warehouse more effectively.Keywords: IoT, ESP32, RFID RC-522, Sticker Label RFID, Telegram, Google Spreadsheet
Design and Implementation of an Android-Based Indoor Signal Strength Positioning System Using Multivariate Gaussian Mixture Model with Wi-Fi RSSI Fingerprinting Kusuma; Rakhmawati, Lusia
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p84-96

Abstract

Indoor positioning systems (IPS) are crucial where GPS accuracy is limited, but Wi-Fi RSSI-based methods face challenges from signal fluctuations and computational complexity. This research designed and implemented an Android application for indoor signal-strength positioning using a Multivariate Gaussian Mixture Model (MGMM) algorithm based on Wi-Fi RSSI fingerprinting. The system utilized three 2.4 GHz access points to collect Received Signal Strength Indicator (RSSI) data, building a fingerprint database. MGMM was integrated with Maximum Likelihood Estimation (MLE) for parameter estimation and Bayes' Theorem for probabilistic position determination. Testing was conducted in furnished and unfurnished rooms (30 trials per condition). Results showed 90% accuracy (within a 1-meter tolerance radius), a Mean Absolute Error (MAE) of 0.433 meters, and a Root Mean Square Error (RMSE) of 0.796 meters in furnished environments. In unfurnished rooms, the system achieved 100% accuracy (MAE and RMSE = 0 meters). The average system latency was 62 ms, confirming real-time responsiveness. This study demonstrates MGMM’s effectiveness in modeling RSSI distributions and enhancing IPS accuracy. Keywords: Indoor Positioning System, Wi-Fi RSSI-Fingerprint, Multivariate Gaussian Mixture Model, Android Application, Accuracy.
Literature Review: Applications of Artificial Intelligence in Solar Radiation Prediction for Photovoltaic Systems M. Nanda Tri Maulana Ridwan; Three Kartini, Unit
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p97-102

Abstract

Solar Power Plants (SPPs) are gaining more attention as a sustainable and environmentally friendly renewable energy solution. However, the operational efficiency of SPPs is significantly affected by the unpredictable fluctuations in solar radiation. To improve short-term predictions of solar radiation, the use of Artificial Intelligence (AI) presents a promising approach. This study aims to provide a literature review on the various applications of AI in forecasting solar radiation for photovoltaic (PV) systems. The review covers AI techniques such as Machine Learning (ML), Deep Learning (DL), and hybrid models, which have proven effective in enhancing prediction accuracy. Algorithms like Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and their combinations have shown promising results in capturing non-linear patterns in solar radiation data. Additionally, optimization algorithms like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) also show significant potential in improving prediction model performance. This research offers insights into the benefits and challenges of applying AI in solar radiation forecasting and provides recommendations for further development to enhance the efficiency of global PV systems. Keywords: Artificial Intelligence (AI), Solar Radiation Prediction, Photovoltaic Systems
Reliability of the Weather Radar at BBMKG Region III Using the Failure Mode and Effect Analysis (FMEA) Method Ferary, Franky; Gunantara, Nyoman; Pramaita, Nyoman
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p103-107

Abstract

One of the main roles of BMKG in Serving the public is to provide weather forecast information. The accuracy of such information highly depends on the operational condition of the instruments used, including weather radar as one of the primary tools. A reliable weather radar ensures the generation of accurate observational data, which forms the basis of weather forecasting. This study aims to assess the reliability of the weather radar operated by BBMKG Region III Badung, which has been in service for over 15 years. The evaluations were conducted using the Failure Mode and Effect Analysis (FMEA) method based on the latest calibration data from 2024. The analysis revealed several significant potential failures, particularly in the receiver component, with Risk Priority Number (RPN) values exceeding 100. These findings indicate a high level of risk that could affect the radar’s sensitivity in detecting rainfall. Nevertheless, the weather radar at BBMKG Region III remains capable of identifying rainfall intensity ranging from light to very heavy. Keywords: Weather radar, BMKG, Reliability, FMEA, Receiver, Rainfall intensity
Automatic Cash Payment System Using ESP32 Ardhan, Mohammad Ardhan Fawwaz; Noorman Rinanto; Muhammad Khoirul Hasin; Adianto; Putri Nur Rahayu
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p114-120

Abstract

This research evaluates an automatic cash payment system using an ESP32 microcontroller integrated with a bill acceptor, a Rp1000 coin acceptor, and a coin hopper. The system is designed to accept banknote and coin payments and dispense change automatically. The system was fully tested for 40 transactions. Results showed a success rate of 87.5% with the most problems being the incorrect reading of banknotes and coin positioning. The system shows high potential for use in vending machines or self-service platforms Keywords: Indoor Positioning System, Wi-Fi RSSI-Fingerprint, Multivariate Gaussian Mixture Model, Android Application, Accuracy.
Simulation of Braitenberg Method of Differential Wheeled Robot Using Gazebo ROS Features Bagus, Pradana Bagus Mauludin; Rinanto, Noorman
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p121-126

Abstract

Differential wheeled robots are one type of mobile robot that is easy to design and operate. However, cost limitations and the risk of hardware damage due to collisions when the robot fails to avoid obstacles often become obstacles in direct research on physical devices. To overcome this, this research was conducted in the form of simulations using the Robot Operating System (ROS) and Gazebo. The simulation utilizes the Burger model TurtleBot robot and applies the Braitenberg method as an obstacle avoidance strategy to detect and avoid obstacles in the surrounding environment. The Braitenberg method is an algorithm designed for wheeled vehicles to move automatically by utilizing data from left and right side sensors to control motor rotation. Therefore, it is necessary to test the implementation of this method to ensure that the robot is able to move independently while avoiding obstacles in the vicinity. Keywords: Turtlebot9, ROS, Gazebo, Turtlebot, Braitenberg
Implementation of Augmented Reality Technology in the Design of the Kaswari Elok 87 Ship as a Tourism Vessel in the Sea Area of West Papua Andani, Tri Rejeki; Diptya Widayaka, Parama
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p108-113

Abstract

The lack of interactive visualization media in presenting tourism transportation information in West Papua has become an obstacle in attracting interest and understanding among potential users. This study implements augmented reality (AR) technology to present the interior and exterior design of the MV Kaswari Elok 87 ship in an interactive and realistic manner. AR technology enables detailed visualization of the ship without the need for a physical model, thereby facilitating the design presentation process. The application was developed using Unity 3D and tested on two Android devices. The results show that the system can display the ship model stably with optimal performance at a distance of 20–190 cm and a 360° viewing angle, achieving an average frame rate of 33 FPS. Keywords: augmented reality, image processing, marker detection, rendering

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