cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sagita Rochman
Contact Email
sagita@unipasby.ac.id
Phone
+6281252569967
Journal Mail Official
jurnalbest@unipasby.ac.id
Editorial Address
Jl. Dukuh Menanggal XII, Surabaya, 60234, Jawa Timur, Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
Best : Journal of Applied Electrical, Science and Technology
Published by Universitas PGRI Adi Buana Surabaya
ISSN : 27152871     EISSN : 27145247     DOI : https://doi.org/10.36456/best.vol3.no1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics
A Journal that contain Applied Electrical, Science & Technology. Published twice a year, in March and September. P-ISSN: 2715-2871(print), and E-ISSN: 2714-5247 (online).
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 10 Documents
 1 
Search results for , issue "Vol 7 No 1 (2025): BEST" : 10 Documents clear
Flow Pump Motor Speed Controller System Using PLC Simatic PCS-7 and PID in PT Sun Paper Source Prenata, Giovanni Dimas; Baihaqi, Ahmad
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.9278

Abstract

Motor speed control can be done using PID. Through the PID tuning process on the Simatic PCS 7 PLC, the values ​​Kp = 6, Ki = 45 and Kd = 8 were obtained as parameters for regulating the rotation speed of the pump motor. PID tuning was previously carried out in Matlab by entering the transfer function equation of the pump motor and then obtaining the constant values ​​Kp = 4, Ki = 12 and Kd = 16 through the PID tuning process. The performance of motor speed control using PID (PLC Simatic PCS 7) is not up to target, this is because the PID tuning process takes place simultaneously with the operation of the PLC as the main controller of the production process.
Smart Backpack Solution for Child Safety Monitoring using GPS Tracker and Internet of Things (IoT) Puncak Pujiputra, Anggarjuna; Brian, Thomas; Nur Rahayu, Putri; Atmiasri
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10158

Abstract

Abstract- Supervision of children is an important thing to do for the development of behaviour and child safety. The existence of cases around such as after school not going straight home, skipping school to play online games, even in the mass media there are cases of elementary school children who do not go home immediately. in the mass media there are cases of elementary school children who died from drowning while playing. This can cause parents to worry about their children. On the other hand, the space for parents to supervise children directly is limited due to their activities such as taking care of the house or working, so there is an alternative to make a tracking device or GPS Tracker with the concept of the Internet of Things (IoT) that can solve the problem. The manufacturing method includes three stages, namely the design stage, the testing stage, and data analysis stage in order to produce the expected tool. The results of this research are first, GPS Tracker is built by three main components (Ardunino Nano, Ublox NEO-6M, and SIM800L). Second, the tool functions optimally when outside the room with percentage of error 0% and less than maximum when indoors with an error of 40%. room with 40% error. Third, the device is able to track position at various distances. Fourth, the tool has an average working endurance of 4 hours 26 minutes with a power source of 3.7 VDC 3500mAH battery.   
Implementation of Charity Box Security System based on Internet of Things (IoT) using Sensor and Notifications Atmiasri; Solikin, Akhmad; Puncak Pujiputra, Anggarjuna
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10159

Abstract

Mosques are places of worship for Muslims. With a large number of mosques, the problems that arise are also diverse, for example the AL Akbar Surabaya mosque has 2 thefts per year. The form of breaking into the charity box was in the form of the destruction of the padlock hinge made of iron plates in the outer courtyard of the mosque. This is a problem for mosque managers. The purpose of this research is to create a security system for the charity box of the Al Akbar National Mosque that can be controlled remotely using the Internet of Things (IoT). This system will ensure the safety of the charity box and prevent the possibility of theft or manipulation of the money contained in it. This security system uses motion sensors as an indicator of suspicious activity around the charity box. When the vibration sensor detects vibration, the system will activate the Buzzer and the ESP32 CAM camera takes pictures to be further processed using a face detection algorithm and the results are sent in the form of a notification to the mosque manager who is connected to the internet network, so that it can take photos that can be accessed in real-time by security control. To control this security system, a mobile application will be built that can be accessed by mosque administrators. Overall, this design will provide a higher level of security for the Al Akbar National Mosque charity box. With a security system that can be accessed and controlled remotely through IoT. The mosque management can quickly respond and take action in unsafe situations.
Design, Build, and Implement Monitoring Applications Student Grades and Violations Puteri Nurul Ma'rifah; Achmad Zain Nur; Luthfi Awwalia; Wildan Surya Wijaya; Puteri Nurul Magfirah
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10198

Abstract

Information and communication technology development has entered the era of Industry 4.0, requiring the educational sector to adapt more rapidly and efficiently. Thus, information technology has been integrated into various learning activities. However, the monitoring of information on students' learning progress is mostly carried out by the schools, while parents typically receive report cards at the end of the term. This does not provide effectiveness, as it limits parental involvement in early supervision. This research is designed to help both teachers and parents in supervising students more directly. This research utilizes NFC (Near Field Communication) technology for recording student attendance at school. Based on the results of application testing, users gave high ratings to the system in terms of interface design, NFC card reading accuracy, ease of managing student permissions, recording student behavior and academic grades, as well as the tool’s completeness and functionality. The average success rate of horizontal NFC card reading reached 100%, while vertical reading achieved 90%. The maximum reading distance was 4 cm for Samsung A50s (version 10.0) and Samsung A30s (version 10.0), and 3 cm for the Redmi Note 8 Pro (version 9.0).
Design and Simulation Sag Tension of a 20kV Power System with 150kV Tower Infrastructure in Marabahan City with Monte Carlo method Alviando Wisang , Muhammad; Noor Hidayat, Mohamad; Rahmad, Cahya; surya Wijaya, Wldan
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10234

Abstract

Rumpiang Bridge is a vital object and requires special handling for voltage installation; therefore, a construction that is capable of spanning a wide area is needed, where the construction obtained is the 150 kV HV construction, and for the cable span, it is simulated using the Monte Carlo method for the analysis of cable crossing deflection in Barito Kuala, with three types of cables, namely ACSR, AAAC, and AAACS. The simulation was carried out 1000 times by considering random variations of ±10% in cable weight and tensile force and ±5% in the crossing length. The results show that ACSR and AAAC cables have low average deflections, 3.24 meters and 3.26 meters, respectively, with standard deviations of 0.33 meters and 0.32 meters, indicating stable and consistent mechanical performance. While the AAACS cable shows a higher average deflection of 4.72 meters and a standard deviation of 0.48 meters, indicating a greater variation in deflection due to its physical characteristics. All three cables meet the technical requirement of maximum deflection <30 meters, but ACSR cable is recommended as the primary choice due to its combination of low deflection and high stability, which provides a greater safety margin in extreme crossing environmental conditions.
Artificial Intelligence System for Face Detection to Identify Passenger Identity at the Airport Solikin, Akhmad; rochman, sagita; Widiarto, Budi
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10310

Abstract

Facial biometric technology is widely used in various fields such as bank security, border crossings, airport check-in, home surveillance, remote meetings in offices, prisons, and factories. This makes facial recognition an important field to study and develop. In countries like the United States and Germany, trials have begun for the implementation of Face Recognition technology in airport areas. This technology is used for airport check-in systems to address the issue of long queues, especially during holiday seasons, which is a common occurrence in airports worldwide. Although online check-in methods already exist, they still do not resolve this issue. Unfortunately, this technology has not yet been implemented or discussed for application in Indonesian airports. Therefore, the researchers intend to conduct a study on this technology to ensure that Indonesia does not fall behind other countries in facial detection technology. Based on the test results of the developed system, it can be concluded that the facial detection system is quite effective in identifying faces, but there are some limitations, such as lighting and facial accessories. The system works optimally at light intensities ranging from 806 lumens to 161 lumens, and if the person to be detected is wearing a mask or sunglasses, the system will not be able to recognize the face.
TensorFlow Based AI Training for Translating Indonesian Sign Language (BISINDO) Sujiwa, Akbar; Hasan, Nailul; Aruan, Nenni Mona
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10312

Abstract

Communication is an important aspect of social life, including for deaf people who rely on sign language as their primary means of interaction. However, the limited understanding of sign language in society, especially BISINDO (Bahasa Isyarat Indonesia), is often a barrier to effective communication. This study aims to develop a simple sign language translator system using TensorFlow and Keras-based machine learning technology, as well as image processing support from OpenCV. The system is trained to recognize six basic signs in BISINDO, namely “Halo”, “Nama”, “Saya, “A”, “D”, and “I”, using hand images as training data. Each word is represented by 20 images with variations in horizontal position. The test results show that the system is able to recognize signs with fairly good accuracy under certain conditions, but still has difficulty when faced with variations in hand positions that are different from the training data. This study shows the potential of sign language recognition technology in supporting inclusive communication, as well as the importance of data enrichment and variation in viewpoints in the model training process so that the system can function more optimally in various real conditions.
Implementation of Decision Tree and Item Response Theory (IRT) in SIMPATIF (Sistem Penilaian Adaptif) Devi Kurniasari, Norma; Shobikhah, Anis; Basofi Rohman, Trian; Kurniawan , Muchamad
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10317

Abstract

This study discusses how to accurately determine the level of ability of students using Computer Adaptive Testing (CAT). In the implementation of CAT, test participants are given question items according to their abilities. This shows the difference from existing testing systems such as Computer Based Testing (CBT). ADAPTIVE in this system is an automated exam system that is carried out adaptively, adjusting the difficulty level of the questions to the ability of each examinee. The questions given depend on the answer to the previous question: true or false. If the answer is correct, then the next question item has a higher level of difficulty, while if it is wrong, the difficulty level of the next question decreases. CAT in this study is also called the term SIMPATIF (Adaptive Assessment System). The difference between CAT and SIMPATIF is from the selection of question items, in the test using the SIMPATIF application, the selection of question items using the C4.5 algorithm and IRT 3 Parameter Logistics Model (3PL). The 3 parameters are the difficulty level of the question, differentiation, and deceit. In the development of this SIMPATIF. The input attributes from the decision tree have 4 attributes, namely difficulty level, differentiation, deceiver and IRT, while the target attributes are 2, namely YES and NO. The questions used are productive subjects majoring in Multimedia at SMK PGRI 2 Sidoarjo. The study was conducted with 10 students, SIMPATIF only succeeded in 67,901% for the adaptive status of the questions. Meanwhile, if correlated with CBT 76.58%.
Handling Imbalanced Fraudulent Transaction Data Using SMOTE-Tomek and Random Forest: A Classification Approach Ilham, Mohamad; Winarno, Adi; Lutfi, Moch; Indrasetianingsih, Artanti
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10335

Abstract

This research aims to address the class imbalance problem in fraud detection using hybrid resampling techniques, specifically SMOTE-Tomek, combined with Random Forest classifiers. Imbalanced data in fraud detection tasks can severely hinder model performance, resulting in poor detection of minority (fraud) cases. By employing SMOTE to oversample minority class instances and Tomek links to clean the borderline majority class samples, this study evaluates the effectiveness of this hybrid method in improving classification metrics. Using a benchmark credit card fraud dataset, we compare the performance of Random Forest models with and without the hybrid sampling approach. The experimental results show that SMOTE-Tomek significantly enhances recall and F1-score without sacrificing accuracy. This finding underscores the importance of using appropriate resampling strategies for improving model robustness in fraud detection.
Development of A Machine Learning Based Chess Game in Python Hastuti, Dwi; surya Wijaya, WILDAN
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10343

Abstract

This paper presents the design and implementation of a Machine Learning (ML)-based chess game developed in Python. Unlike traditional chess game that rely primarily on alpha-beta pruning and handcrafted evaluation functions, this approach employs supervised learning techniques to create a neural network model capable of evaluating chess positions and making move decisions. The system leverages the python-chess library for game representation and the scikit-learn framework for implementing the machine learning components. We demonstrate that even with relatively simple feature engineering and a modest neural network architecture, the system can learn effective chess strategies. The implementation is designed to run in a Jupyter Notebook environment, providing an interactive interface for human players to compete against the ML agent while facilitating educational insights into both chess strategy and machine learning principles.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 7 No 2 (2025): BEST Vol 7 No 1 (2025): BEST Vol 6 No 2 (2024): BEST (Buana Electrical Science Technology): Journal of Applied Electrical, Scienc Vol 6 No 1 (2024): BEST Vol 5 No 2 (2023): BEST Vol 5 No 1 (2023): BEST Vol 4 No 2 (2022): BEST Vol 4 No 1 (2022): BEST Vol 3 No 2 (2021): BEST Vol 3 No 1 (2021): BEST Vol 2 No 2 (2020): BEST Vol 2 No 1 (2020): BEST Vol 1 No 1 (2019): BEST More Issue