cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Safira Faizah
Contact Email
safirafaizah@jgu.ac.id
Phone
+6285159211558
Journal Mail Official
rmc@jgu.ac.id
Editorial Address
https://journal.jgu.ac.id/index.php/jgers/editorialboard
Location
Unknown,
Unknown
INDONESIA
Journal of Global Engineering Research & Science (J-GERS)
Published by Universitas Global Jakarta
ISSN : 28305906     EISSN : 28305814     DOI : https://doi.org/10.56904
Core Subject : Science, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science
Journal of Global Engineering Research & Science (J-GERS) is a peer-reviewed journal covering all areas of science, engineering, and technology. It is published 2 Issues (twice-yearsly) by the Faculty of Engineering and Computer Science (FECS) of Jakarta Global University. The scope of the journal includes the following areas of research: - Informatics Engineering - Electrical Engineering - Civil Engineering - Industrial Engineering - Mechanical Engineering Manuscripts should be written in English and be submitted either online at https://journal.jgu.ac.id/index.php/jgers Informatics Engineering: 1. Computer network design 2. Internet of Things 3. IT management and governance 4. IT-business strategic alignment 5. Multimedia 6. Network security 7. Software Engineering 8. Information Technology 9. Artificial Intelligence 10. Mobile Programming 11. Geographic Information System Electrical Engineering: 1. Microelectronic System 2. VLSI Design 3. Biomedical Instrument 4. Embedded System 5. Robotic 6. Communication Electronic 7. Modulation and Signal Processing 8. Wireless and Mobile Communication 9. Radio Communication 10. Network 11. Electronic Circuits and System 12. Biomedical Sciences and Engineering 13. Power Electronics Civil Engineering: 1. Structural Engineering, 2. Construction Engineering & Management 3. Geotechnical Engineering, 4. Water Resources Engineering, 5. Transportation Engineering 6. Environment Industrial Engineering: 1. Production System 2. Supply Chain Management 3. Ergonomics 4. Industrial Management 5. Project management 6. Engineering and Quality Control Mechanical Engineering: 1. Energy convertion 2. Material 3. Mechanical Design 4. Manufacturing and automation 5. Sustainable Energy 6. Automotive
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 42 Documents
 1   2   3   4   5 
Smart Keyless Locker Design Using Face Recognition Technology Based on the Internet of Things Jakarta Global University Classroom Rahman, Arizki; Pratama, Legenda Prameswono; Hamzah; Dianova, Brainvendra Widi; Olivia Putri, Arisa; Wilyanti, Sinka; Saud, Safa N
Journal of Global Engineering Research and Science Vol. 4 No. 2 (2025): Vol. 4 No. 2 (December 2025): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v4i2.162

Abstract

This research presents the design and implementation of an Internet of Things (IoT)-based Smart Keyless Locker integrated with face recognition technology to enhance security and efficiency in classroom locker management at Jakarta Global University. The system replaces conventional mechanical keys with biometric authentication to minimize risks associated with key loss, duplication, and unauthorized access. The hardware architecture consists of a Raspberry Pi as the primary processing unit for facial recognition, an Arduino Mega for actuator control, a camera module for image acquisition, solenoid door locks as locking mechanisms, load cell sensors for locker status detection, and an IoT-based notification system integrated with WhatsApp for real-time monitoring. The facial recognition process utilizes the Haar Cascade Classifier for face detection and the Local Binary Patterns Histograms (LBPH) algorithm for feature extraction and matching. System performance was evaluated under various conditions, including differences in lighting intensity, facial orientation, distance, and face coverings. Experimental results indicate that the system achieved a recognition success rate of 50% under the tested conditions, particularly within a distance range of 40–70 cm and adequate lighting. The average verification time ranged from 1.4 to 2.1 seconds depending on facial angle, while the WhatsApp notification system demonstrated reliable message delivery with an average delay of 4.75 seconds. Although recognition performance decreases when facial features are partially obstructed or when lighting is insufficient, the proposed system demonstrates the feasibility of integrating biometric authentication with IoT technology for modern classroom locker management applications.
Sensitivity Analysis of a Single-Server Fuel Queue System Using the M/M/1 Model: A Case Study of a Pertamini Station Restuasih, Sinta; Gustany, Eko Widodo; Wijayanti, Fitri Retna; Ariyani, Ananda Putri; Fitria, Nur Maulida
Journal of Global Engineering Research and Science Vol. 4 No. 2 (2025): Vol. 4 No. 2 (December 2025): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v4i2.181

Abstract

The rapid growth of motorcycle ownership in Indonesia has significantly increased the demand for fuel, particularly for daily transportation activities. This condition has encouraged the development of micro-scale refueling services, commonly known as Pertamini, which provide easier and more accessible fuel services for local communities. However, Pertamini stations generally operate with limited facilities and a single service channel, which may lead to queue formation, especially during peak hours. Long waiting times can reduce service efficiency and customer satisfaction, making queue system evaluation essential to support operational improvements. Therefore, this study aims to analyze the performance of the Pertamini service queue system using the M/M/1 queue model. This research applies a quantitative approach through direct field observation to collect data on customer arrival rates and fuel service times during a specified observation period. The collected data are used to determine the arrival rate (λ) and service rate (μ) as the main parameters in modeling the queue system. System stability is evaluated by comparing these parameters to ensure that service capacity can accommodate customer demand. Several performance indicators are analyzed, including system utilization, the average number of customers in the queue and in the system, and the average waiting time experienced by customers. The results indicate that under normal operational conditions, the queue system operates in a stable condition where the service rate exceeds the arrival rate. However, sensitivity analysis shows that an increase in arrival rate or a decrease in service rate significantly increases waiting time. Therefore, improving service efficiency is necessary to maintain system stability and reduce customer waiting time.

Page 5 of 5 | Total Record : 42

 1   2   3   4   5 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2025): Vol. 4 No. 2 (December 2025): Journal of Global Engineering Research & Science Vol. 2 No. 2 (2023): Vol. 2 No. 2 (Desember 2023): Journal of Global Engineering Research & Science Vol. 2 No. 1 (2023): Journal of Global Engineering Research & Science (J-GERS) Vol. 1 No. 2 (2022): Journal of Global Engineering Research & Science (J-GERS) Vol. 1 No. 2 (2022): Journal of Global Engineering Research & Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science (J-GERS)