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Indra Hardian Mulyadi
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Journal of Applied Electrical Engineering
Published by Politeknik Negeri Batam
ISSN : -     EISSN : 25489682     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
JAEE (Journal of Applied Electrical Engineering) e-ISSN: 2548-9682 is a peer-reviewed scientific journal published by the Department of Electrical Engineering, Politeknik Negeri Batam, Indonesia. It is a free-of-charge open access journal published in two issues per year (June, December). The journal publishes original papers that show advances in the applied electrical engineering field, which includes, but are not limited to, electronics, microelectronics, instrumentation, electrical (power), telecommunication, electro-material, image processing, robotics, artificial intelligence, machine learning, signal processing, biomedical engineering, electronics manufacturing, computer engineering, control engineering, and automation.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 127 Documents
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Performance Comparison of Fuzzy Mamdani and Sugeno in Curtain and Lighting Control M. Alung Chaiyura Chanpal; Daniel Indra Saputra Manurung; Daniel Sutopo Pamungkas
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.10827

Abstract

Efficient room lighting is essential for user comfort and health. This study implements and compares Fuzzy Mamdani and Sugeno methods in an automatic curtain and lighting control system based on Arduino Uno. The system responds to light intensity changes by adjusting curtains and a dimmable lamp according to LDR sensor values. Tests were conducted under various conditions to evaluate performance. Results show that Sugeno has a faster average response time of 13,898 seconds compared to Mamdani's 15,158 seconds, with a difference of 1,26 seconds. Sugeno also demonstrates better accuracy: for curtain control, it achieved MSE of 347,9368872 and RMSE of 18,65306643, while Mamdani recorded MSE of 570,71862 and RMSE of 23,889718. For dimmer control, Sugeno obtained MSE of 1683,99071 and RMSE of 41,0364559, outperforming Mamdani's MSE of 2679,24 and RMSE of 51,7614. This implementation provides an optimal solution for automatic lighting management to enhance energy efficiency and user comfort.
Smart System for Early Diagnosis of Gastroesophageal Reflux Disease (GERD) Rokhana, Rika; Gusti, Agrippina Waya Rahmaning; Salim, Rizki Umar
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11023

Abstract

Gastroesophageal Reflux Disease (GERD) occurs when gastric contents reflux into the esophagus, yet early diagnosis remains limited due to the lack of accessible screening tools. This limitation contributes to reduced public awareness and delays in seeking appropriate medical evaluation. To address this problem, this study aims to develop an intelligent system capable of supporting early GERD diagnosis. The proposed system evaluates stomach acid levels through saliva pH measurement and incorporates symptom assessment using the GERD-Q questionnaire, which is widely adopted by internist physicians as a clinical screening instrument. Additional variables—including lifestyle factors, age, height, and weight—are integrated into a logistic regression model to estimate the probability of GERD. The pH sensor demonstrates an accuracy of approximately 99,25%. Future studies will focus on validating the sensor data against patient medical records and comparing the system’s diagnostic performance with standard clinical examinations conducted by healthcare professionals.
Dynamic Modeling and PID Control of a 6-DOF Robotic Arm Using ROS and Gazebo Firdaus, Ahmad Riyad; Cyrillus Rudi Soru; Hendawan Soebhakti
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11027

Abstract

This paper presents the dynamic modeling and control evaluation of a six degrees-of-freedom (6-DOF) robotic manipulator. The manipulator was developed in the Robot Operating System (ROS) and Gazebo using a detailed URDF model with complete geometric and inertia parameters. Proportional–Integral–Derivative (PID) controllers were tuned through ROS dynamic reconfiguration and tested under four payloads: 0; 0,19; 0,39; and 0,50 kg. Controller performance was assessed using rise time, settling time, overshoot, and steady-state error. The results show stable responses across all conditions, with no overshoot and near-zero steady-state errors. Increasing payloads generally led to longer rise and settling times, while joints aligned with gravity exhibited faster responses under heavier loads. These findings confirm that properly tuned PID controllers can maintain robust and accurate manipulator performance and demonstrate the effectiveness of ROS–Gazebo as an open-source platform for robotic control experimentation and future integration of adaptive or AI-based methods.
Rancang bangun pendeteksi suhu dan gas amonia dengan metode fuzzy logic pada kandang ayam broiler berbasis iot Setiawati, Dhea; Risky Via Yuliantari; Bagus Fatkhurrozi
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11429

Abstract

Temperature, humidity, and ammonia gas are critical factors that affect the health and productivity of broiler chickens. Manual monitoring commonly carried out by farmers is inefficient and prone to errors, thus requiring an automatic system capable of real-time detection. This study developed a monitoring system for temperature, humidity, and ammonia levels in broiler chicken coops based on the IoT using the Sugeno fuzzy logic method. The system was designed with a NodeMCU ESP8266 microcontroller integrated with a DHT22 sensor for temperature and humidity, and a MQ-135 sensor for ammonia gas. Measurement data are displayed in real time through an LCD, Blynk application, and ThingSpeak allowing remote monitoring. The decision-making process is carried out using Sugeno fuzzy logic to classify coop conditions into safe, alert, or danger. Experimental results show MAPE values of 2,7% for temperature and 3,5% for humidity. The system operated continuously for 14 days and generated 1,265 consistent monitoring data points. Thus, the proposed system assists in automatic coop monitoring and supports increased broiler chicken productivity.
A Comparative Study of Naïve Bayes and K-Nearest Neighbors (KNN) Algorithms in Sentiment Analysis of ChatGPT Usage Among Students Syahli Kurniawan; Hidayat, Rahmad; Muhammad Reza Zulman
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11464

Abstract

This study compares the performance of the Naïve Bayes and K-Nearest Neighbors (KNN) algorithms in sentiment analysis of Lhokseumawe State Polytechnic students toward the use of ChatGPT. The comparison is conducted due to the varied results of previous research, where the effectiveness of both algorithms largely depends on the data type and context. The model was developed using 9.800 external data collected from Twitter and Google Play Store, which were processed through text preprocessing and TF-IDF transformation stages, and then tested on 237 student questionnaire data as a case study. The initial evaluation showed that Naïve Bayes achieved an accuracy of 88% with a prediction time of 0,0063 seconds, while KNN recorded an accuracy of 83% with a prediction time of 0,4760 seconds. In the student questionnaire test, Naïve Bayes again outperformed with 79,75% accuracy compared to KNN’s 49,37%.
Harmonic Analysis and Performance of a VFD-Controlled Single-Phase Motor Jakariya, Jakariya; Doane Puri Mustika
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11500

Abstract

The application of Variable Frequency Drives (VFDs) in single-phase induction motors is increasingly common, although it may introduce harmonic distortion that affects power quality. This study analyzes harmonic characteristics and motor performance under variable frequency operation. Measurements of voltage and current harmonics were carried out using a Fluke 434 Power Quality Analyzer at VFD frequencies ranging from 10 to 50 Hz. The results indicate that voltage harmonic distortion (THD-V) decreased from 5,0% to 3,2% on L1 and from 5,8% to 4,1% on the neutral conductor, remaining within IEEE 519-2014 limits. In contrast, current distortion (TDD) reached 71,8% at 50 Hz but decreased to 23% at 20 Hz due to network impedance effects. Dominant harmonics were observed at H3–H13, with triplen harmonics prevailing in the neutral line. Overall, VFD-based frequency control improves motor efficiency and voltage quality but requires additional filtering to limit current distortion within standards.
Implementasi Sistem Pemantauan Energi Listrik dan Perbaikan Faktor Daya Berbasis Android dengan MIT App Inventor dan Firebase Andre Rabiula; Dasrinal Tessal; Aldy Pratama; Togi Siholmarito Simarmata; Elsa Lolita Anggraini; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11615

Abstract

As inductive loads like washing machines and water pumps become more common, they utilize more reactive energy and lower the power factor. If the power factor is less than 0,85 PLN, electrical protection devices like MCBs and ELCBs could stop working. To utilize less power, things need to change. Adding a capacitor bank to add reactive power can make the power factor value better. Using the MIT App Inventor and Firebase platforms, this study built an app that lets you keep track of and improve your power factor. The app had an average data latency of 11,20 seconds. After 11 load changes, the average power factor went up from 0,64 (before improvement) to 0,88 (after). So, this method for optimizing power factor helps to get a low power factor up to the right level.

Page 13 of 13 | Total Record : 127

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