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Journal of Electrical Engineering and Computer (JEECOM)
Published by Universitas Nurul Jadid
ISSN : 27150410     EISSN : 27156427     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy
Journal of Electrical Engineering and Computer (JEECOM) is published by Engineering Faculty of Nurul Jadid University, Probolinggo, East Java, Indonesia. This journal encompasses research articles, original research report, : 1) Power Systems, 2) Signal, System, and Electronics, 3) Communication Systems, 4) Information Technology, etc.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 223 Documents
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Deep Learning Models For Youtube Sentiment Analysis: A Comparative Study Of Bert And Gru In Danantara Indonesia Rizy, M. Alfa; Utami, Ema
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12064

Abstract

This study aims to analyse public sentiment toward Danantara Indonesia through YouTube comments and compare the performance of two deep learning models, BERT and GRU, in sentiment classification. The dataset consists of 1,065 comments collected through scraping techniques, which were pre-processed and classified into three sentiment categories: positive, neutral, and negative. The results indicate that the IndoBERT model achieved 100% accuracy, with perfect precision, recall, and F1-score for all sentiment classes. In contrast, the GRU model only achieved 60% accuracy, showing a tendency to classify almost all comments as negative sentiment. Sentiment distribution analysis reveals that the majority of comments (60%) express negative sentiment, followed by positive sentiment (25%) and neutral sentiment (15%). The dominance of negative sentiment suggests public distrust and criticism regarding the policies and transparency of Danantara Indonesia. These findings demonstrate that BERT is a more accurate model for sentiment analysis of Indonesian-language texts. Furthermore, this study recommends further evaluation to address data imbalance and improve the model’s generalization across various social contexts in digital media.
Health Risk Level Prediction for Hajj Pilgrims Using Random Forest and Bayesian Optimization (Case Study: Hajj Pilgrims of Balikpapan Embarkation) Husag, Luthfi Bhaktiawan
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12391

Abstract

The Hajj pilgrimage is one of the largest religious rituals in the world, involving millions of pilgrims from various countries. The physical condition and health of pilgrims are crucial factors in ensuring the smooth execution of the Hajj. Data from the Ministry of Health indicates that the mortality risk among Hajj pilgrims tends to increase annually, particularly in the elderly age group and among pilgrims with a history of certain diseases, such as hypertension, diabetes, and heart disease. This study aims to compare the performance of a Random Forest model optimized with Bayesian optimization against a Random Forest model without any optimization in predicting the health risk level of Hajj pilgrims at the Balikpapan Embarkation. The research findings show that the Random Forest model optimized with Bayesian Optimization provides superior performance compared to the non-optimized model, using K-Fold Cross-Validation for data splitting to avoid imbalance. The optimized model achieved an average Accuracy of 88.25% and an F1 Score of 88.19%, higher than the standard model which recorded 87.99% and 87.95% on the same metrics. Although their AUC scores were nearly identical (95.46% vs. 95.47%), the improvement in accuracy and F1 Score indicates that Bayesian Optimization can produce a more balanced and accurate classification model. In conclusion, the application of Bayesian Optimization to Random Forest is proven effective for enhancing the predictive accuracy of Hajj pilgrims' health risks, potentially supporting more proactive Hajj healthcare services.
Analysis of Cybersecurity Awareness Among Social Media Users Among Teenagers Using Exploratory Factor Analysis (EFA) & Confirmatory Factor Analysis (CFA) Methods Angela, Sofia; Huda, Muhamat Maariful; Rusdiyan, Rizqi Darma
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11407

Abstract

Nowadays, security awareness is very important for social media users, especially teenagers. Many users become victims of cybercrime due to the lack of education about cybersecurity awareness. This case began with many complaints submitted by teenagers from SMP Negeri 2 Ngoro, one of whom was a victim of cybercrime on Instagram social media whose account was hijacked by unknown individuals. This also happens on WhatsApp social media where there are criminals who steal someone's identity to be used as a victim and commit fraudulent money transfers, credit and other fraud. The purpose of this study was to assess and ensure the level of cybersecurity awareness among the three most significant social media platforms in Indonesia, namely WhatsApp, Instagram, and TikTok. The Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) methods were used to analyze the online survey data set. The EFA results obtained were 6.67% insignificant in one of the factors contained in the knowledge variable and 93.33% EFA results stated significant. Meanwhile, the CFA calculation results obtained 80% results which were stated as Fit, indicating that the model accurately represented the data, 20% of the CFA calculation results stated Moderate Fit because they reflected values that were almost close to the fit value.
Monitoring Design on PV and Battery PLTS for Power Regulation on Water Pump Sukamta, Sri -; Arief, Ulfah Mediaty
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11594

Abstract

The increasing use of solar energy as a source of electrical energy encourages the use of remote monitoring systems to determine the performance of solar panels. The purpose of this study is to conduct a monitoring system for solar panel (PV) and battery output for water pump loads. The method used is to design a monitoring system using the microcontroller NodeMCU ESP8266 and sensor INA219. The first step is to determine the capacity of the PV, battery, and water pump. Then do microcontroller programming and field testing. The INA219 sensor measures the operating voltage and current in real time, the voltage, power, and current of the PV connected to the circuit. Experimental investigations that have been carried out to verify the effectiveness of the proposed monitoring system have shown that proper examination of the collected data allows the monitoring system to be enlarged. The monitoring system is able to perform measurements well for 3 months. The results of monitoring measurements in this study are also influenced by the intensity of solar radiation.
Sentiment Analysis of User Reviews on the NU Online Application Using the Long Short-Term Memory (LSTM) Model Muthmainnah, Atik; Sya'roni, Wahab; Pawening, Ratri Enggar
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12137

Abstract

This study aims to analyze user sentiment toward the NU Online application by applying a Long Short-Term Memory (LSTM) model. The research was based on 13,576 user reviews collected from the Google Play Store, which underwent preprocessing, sentiment labeling, and Exploratory Data Analysis (EDA). To ensure balanced classification, undersampling was used, resulting in 6,612 reviews equally divided into positive and negative classes. The text data was processed using tokenization and padding before being input into the LSTM model. Model training involved the use of binary crossentropy, Adam optimizer, EarlyStopping, and ReduceLROnPlateau techniques. The model achieved 93% precision, recall, and F1-score, with low error rates and strong generalization ability. EDA results showed that positive feedback mainly focused on worship features like salat schedules, while negative reviews addressed technical issues such as the azan sound. User review peaks occurred during religious periods and major updates. A Gradio-based web interface was also developed to display results and enable user-friendly access to visual sentiment insights. This implementation proves the practical potential of integrating LSTM with an interactive platform for effective sentiment analysis
Automatic Safe Security System Using Pin Code And Fingerprint Based On Microcontroller With Telegram Notification Chanifudin, Achmad Yahya; Ayuni, Shazana Dhiya; Falah, Agus Hayatal; Sulistiyowati, Indah
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.11972

Abstract

The primary purpose of a security system is to protect valuable and important items. A safe is a medium for storing valuables, adjusted to the size of the safe compartment. Therefore, a proper security system is needed to ensure the owner does not worry about the loss or theft of the contents. This security system is adapted to the current era of advanced and modern technology. The sensors and microcontroller used include the NodeMCU ESP8266, fingerprint sensor, keypad, and LED indicator lights. Telegram notifications or alerts via the application can be received through an internet connection. This security system is implemented to secure the safe and can be accessed via an Android smartphone with the Telegram app installed. It enables the owner to receive access notifications indicating whether an attempt was successful or failed. This research was conducted using an experimental method by building a device to enhance the safety of the safe, providing peace of mind about the stored items. The experiment was carried out at a residence located in Bendosari Village, Ngantru District, Tulungagung Regency. Based on the results, it can be concluded that the development of an automatic safe using a pin code and fingerprint based on a microcontroller with Telegram notifications has successfully met the research objectives. All sensors and components within the safe function properly, ensuring the protection of valuables inside and offering peace of mind to the owner.
Utilization of a Pressure Sensor as a Pressure Regulator in an Autoclave Machine for Medical Equipment Sterilization and IoT-Based Monitoring Saickoni, Mohammad; Falah, Agus Hayatal; Anshory, Izza; Wisaksono, Arief
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12222

Abstract

An autoclave is a sterilization device that operates using high-pressure steam to eliminate microorganisms. However, in conventional systems, pressure regulation is still performed manually, which can lead to inconsistencies in the sterilization process and reduced effectiveness. This study developed an automatic pressure control system based on a digital pressure sensor, controlled by an Arduino Uno microcontroller and equipped with an ESP8266 module for real-time monitoring via the Internet of Things (IoT). The system also utilizes a MAX6675 temperature sensor, a solenoid valve as a pressure actuator, and an LCD as a local interface. Testing was conducted at three pressure settings (10, 15, and 25 psi) for a duration of 15 minutes. The results showed that the system was able to maintain pressure with a fluctuation tolerance of ±0.3 psi and successfully transmitted temperature and pressure data to a cloud dashboard in real-time. This system is considered effective in improving the efficiency, accuracy, and safety of the sterilization process, and has the potential to be implemented in medical and laboratory facilities.
Android-Based Monitoring of 110 Volt DC System in Substations within PLN UIT JBM Region to Improve Maintenance Efficiency Dhaniswara, Erwin; Nurholis, Nurholis; Tamaji, Tamaji
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12674

Abstract

The DC 110 Volt system is a critical component in substations, serving to support the operation of control and protection devices. Instability in voltage or current within this system can result in serious failures in overall substation performance. Therefore, “Monitoring of the DC 110 Volt System in Substations within PLN UIT JBM Region Based on Android to Improve Maintenance Efficiency” in real time becomes crucial. This research aims to design and implement an Android-based monitoring system supported by Internet of Things (IoT) technology using the Blynk application. The main parameters monitored in the DC system are total DC voltage (positive and negative) within a range of 80–125 VDC and current within a range of 0–100 A, integrated with a microcontroller that transmits data to the Android application via data communication protocols. The data received by the application can be analyzed in real time, providing critical information regarding parameter deviations from operational standards. In addition, the system is equipped with an early warning feature that enables technicians to respond to potential disturbances before they affect substation operations. Based on sampling inspections of the DC system conducted by five personnel at five substations within the PLN UIT JBM region, the results show that using the DC monitoring system is more effective than manual measurements, with a time difference of 10–15 minutes. This demonstrates that the system can improve monitoring efficiency and reduce operational risks in substations. With the application of this technology, disturbances in the DC system can be detected earlier, allowing preventive actions to be carried out quickly and accurately.
Designing a Solar Power Plant Emergency Box for Rapid Disaster Response in Bucor Wetan Village Sulistiyanto, Sulistiyanto; IsroAfifi, Muhammad Jesen; AlBasyi, Ahmad Fulqin
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12682

Abstract

The growing pursuit of sustainable agricultural development has driven efforts to combine renewable energy systems with Internet of Things (IoT) technology to improve efficiency and productivity in farming operations. This research focuses on the design and realization of a smart farming system powered primarily by solar energy. IoT-based sensing devices are integrated to continuously monitor parameters such as soil moisture, ambient temperature, and humidity, enabling automated irrigation management that conserves both water and energy resources. The photovoltaic (PV) module supplies stable electrical power, while collected data are transmitted to a cloud platform for remote access through a mobile interface. Experimental evaluation indicates that the proposed system decreases energy usage by approximately 35%, improves irrigation precision by 28%, and boosts crop yield by 20%. These outcomes demonstrate that the synergy between solar power and IoT technology plays a vital role in achieving sustainable agricultural systems and advancing the global objectives of energy transition and climate change mitigation.
Implementation of Smart Onion Counting and Environmental Sensing System with ESP32 MCU Suheta, Titiek; Suryowinoto, Andy; Uman, Novian Patria; Anam, Choirul
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.13020

Abstract

The rapid development of embedded system technology in recent decades has had a significant impact, this advancement has contributed to an increase in production capacity with real-time monitoring trough embedded system MCU ESP32. The process of manufacturing onion products, such as fried shallots and garlic. The objective of this research is to develop a low-cost automatic onion counting system that utilizes an embedded system MCU ESP32 with integration of infrared sensors, temperature and humidity sensors to monitor production quality conditions in real-time for small scale Industry. Using the engineering design method, where the TCRT5000 sensor is employed to detect objects based on infrared light interruption, and environmental conditions are measured with the DHT22 sensor to maintain production quality. The internet connection for wireless communication for transmitting data to a mobile device through google firebase. Analysis was performed to evaluate performance such as, data transmission response time, and environmental sensor precision. The results obtained demonstrate that the system attained counting accuracy rates of 98.2% for garlic and 98.55% for shallots. with average data transmission response times of 1.51 seconds and 1.89 seconds, respectively, achieving a success rate of 97.15%. The environmental monitoring sensors demonstrated a high degree of accuracy, with a margin of error of 0.18 °C for temperature and 0.3% for humidity. The results show that this system works effectively in automating onion counting and monitoring, with an accuracy rate of over 98% and a response time of less than 2 seconds, making it suitable for small-scale automated production.

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