cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Eko Prasetyo
Contact Email
jeecs@ubhara.ac.id
Phone
+628819314737
Journal Mail Official
jeecs@ubhara.ac.id
Editorial Address
Faculty of Engineering, Universitas Bhayangkara Surabaya Jl. A. Yani 114, Surabaya
Location
Kota surabaya,
Jawa timur
INDONESIA
JEECS (Journal of Electrical Engineering and Computer Sciences)
Published by Universitas Bhayangkara Surabaya
ISSN : 25280260     EISSN : 25795392     DOI : https://doi.org/10.54732/jeecs
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
We aims to promote high-quality Electrical Engineering and Computer Sciences research among academics and practitioners alike, including power system, electrical engineering, industry automation, mechatronics, computer sciences, informatics, and information system. This journal is dedicated for the author or researcher who has focused in the field of technology and intending on publication and sharing knowledge the novel technology include, but are not limited to, the following topics: Data Mining, Informatics algorithm methodology, Mobile Computing, Automation, Power, Green Technology, Advanced Computer Networks, Image Processing, Computer Vision, Robotics Technology, Decision Support System, Big Data, Data Sciences, Internet of Things, Network Security, Virtual Reality, etc.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 201 Documents
 17   18   19   20   21 
Unmanned Hovercraft for Firefighting Based on IoT Henna Nurdiansari; Resfiyan Tri Sukma Anggara; A. A. Istri Sri Wahyuni; Dwiyanti Margosetyowati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.9

Abstract

A hovercraft is a vehicle that utilizes air pressure inside the skirt to produce an air cushion to support the entire load. It carries a ship that runs on an air cushion. Hovercrafts use propeller or fan rotation to move the hovercraft. However, there are many developments problem in hovercraft in terms of usability due to the emergence of hovercraft designs. Therefore, in this study, we propose a hovercraft as a fire extinguisher on a ship in the middle of the sea. The hovercraft frame is created using 3D printing with dimensions of 37 cm long, 30 cm wide, and 17 cm high. The hovercraft design uses a smartphone application as a remote control, which is developed using MIT App Inventor and ESP32 as a microcontroller. This hovercraft is controlled at a distance without any obstacles at 42 meters and with wall obstacles at 12 meters. The addition of DC water pump components and nozzles are used as fire extinguishers and 2 (two) servos to regulate the direction of watering, and the furthest range of watering points is at 2 meters 10 cm. The power source usage of the battery time reaches 50 minutes with active hovercraft movement. The selection of low power consumption components and lightweight 3D print materials makes this hovercraft effective in working with only a 12-volt battery and can operate for almost 2 hours.
Design of a Lora-Based Early Warning System for Watersheed Flood Disaster Using Data Logging Prastyo Tri Sumargono; Kartiko Ardi Widodo; F. Yudi Limpraptono
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.1

Abstract

Flood disasters in river basins often occur due to high rainfall, poor river management, and poor land use. To minimize the impact, this study designed a LoRa (Long Range)-based early warning system in watersheds for efficient long-distance data transmission and reception. This system integrates ultrasonic sensors to monitor water level, Arduino Uno microcontrollers and NodeMCU ESP8266 for data processing, LoRa as a communication medium, and a web server for real-time data display, on the web server the water level is divided into 3 statuses, namely Safe (0-20CM), Beware (21-30CM), and Danger (>31CM). An email-based early warning feature is also used to alert the Hazard status when the water level >31 CM. Tests show that this system has a high level of accuracy in water level readings of up to 50 cm and data transmission up to a distance of 1,000 meters in optimal conditions. With the efficiency of communication and real-time analysis, this system can improve community preparedness for flood disasters.
User Experience Questionnaire Method In Evaluation And Improved Platform Starup With Kebon Kelapa Region Users Yogi Saputra; Sucitra Sahara; Rizqi Agung Permana
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.2

Abstract

The rapid growth of e-commerce in Indonesia has led to the widespread use of platforms like Shopee among the public. However, it remains unclear how users in specific areas, such as the Kebon Kelapa Subdistrict, perceive their experiences while using the platform. This study aims to evaluate the user experience of Shopee in that area to provide recommendations for improving service quality. This research utilized the User Experience Questionnaire (UEQ), which assesses six aspects: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. Data were collected from active Shopee users in Kebon Kelapa and analyzed quantitatively to determine perception scores for each aspect. The results indicate that, overall, users reported a positive experience, particularly in the areas of Attractiveness, Efficiency, Perspicuity, Dependability, and Stimulation. However, the Novelty aspect received a neutral score, suggesting that Shopee should enhance its innovation in features and interface design. These findings offer valuable insights for Shopee’s development, aiming to create a more inventive, innovative, and engaging platform for its users.
Enhancing OCR Accuracy on Indonesian ID Cards Using Dual-Pipeline Tesseract and Post-Processing Rendy Dwi Reksiyano; Syafrial Fachri Pane; Rolly Maulana Awangga
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.3

Abstract

Manual transcription of data from Indonesian identity cards (KTP) remains prevalent in public institutions, often resulting in inefficiencies and human errors that compromise data accuracy. While Optical Character Recognition (OCR) technologies such as Tesseract have been widely adopted. However, the performance on KTP images is still inconsistent due to non-uniform layouts, low contrast, and background noise. This study proposes a dual-pipeline OCR framework designed to enhance the recognition accuracy of Indonesian KTPs under real-world conditions. First, the pipeline performs static region segmentation based on predefined Regions of Interest (ROI), then uses dynamic keyword heuristics to locate text adaptively across varying layouts. The outputs of both pipelines are merged through a voting and regex-based post-processing mechanism, which includes character normalization and field validation using predefined dictionaries. Experiments were conducted on 78 annotated KTP samples with diverse resolutions and quality of images. Evaluation using Character Error Rate (CER), Word Error Rate (WER), and field-level accuracy metrics resulted in an average CER of 69.82%, WER of 80.20%, and character-level accuracy of 30.18%. Despite moderate performance in free-text areas such as address or occupation, structured fields achieved higher accuracy above 60%. The method runs efficiently in a CPU-only environment without requiring large annotated datasets, demonstrating its suitability for low-resource OCR deployment. Compared to conventional single-pipeline approaches, the proposed framework improves robustness across heterogeneous document layouts and illumination conditions. These findings highlight the potential of lightweight, rule-based OCR systems for practical e-KYC digitization and form a foundation for integrating deep-learning-based layout detection in future research.
Decision Support System for Selecting the Best Restaurant Waiter Using a Combination of WENSLO Weighting and AROMAN Methods Riska Aryanti; Junhai Wang; Agung Deni Wahyudi; Setiawansyah Setiawansyah; Dedi Darwis
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.4

Abstract

The quality of service staff is a key factor in determining business success because they are the front line that interacts directly with consumers. However, performance evaluations of service staff are often still carried out subjectively, based only on the supervisor's perception or brief experiences with customers. This research discusses the application of a decision support system to determine the best restaurant service by combining the Weights by Envelope and Slope (WENSLO) method in criteria weighting and the Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) in the alternative ranking process. The dataset used in this study was collected in 2025 from one of the restaurants in the Lampung area, involving nine waiters as evaluation candidates using six criteria. The six criteria used consist of four benefit criteria: service speed, friendliness, accuracy, and customer satisfaction. The weighting results using the WENSLO method indicate that the order mistakes criterion received the highest weight of 0.7253, followed by completion time with a weight of 0.1700, while the other criteria have relatively small weights. The AROMAN method is used to calculate the final values of alternatives based on the specified weights, resulting in a ranking of restaurant servers. The analysis shows that alternative Waiters KS ranks first with the highest score of 1.6097, followed by Waiters QN and Waiters RB. This finding proves that the combination of the WENSLO and AROMAN methods can produce objective, systematic results, and supports restaurant management in making strategic decisions regarding the selection of the best employees.
SmartNotes Encrypted with Hybrid Cryptography Combining Rivest Cipher 4 and XChaCha20 Elizabeth Piscelia Kusuma; Aqeela Nashwa Naysilla; Bagas Dwi Yulianto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.5

Abstract

Digital note-taking applications serve as essential tools for personal information management, presenting opportunities for enhanced security mechanisms to protect sensitive data. Most current solutions depend on server-side processing, creating potential vulnerabilities and privacy concerns. However, a robust solution that fully executes hybrid encryption on the client-side to seamlessly protect both text and image data within a single application remains unexplored. This study introduces SmartNotes, a web-based application safeguarding text and image notes through an innovative hybrid encryption system synergistically combining RC4 and XChaCha20 algorithms. A key contribution is the full client-side execution of encryption–decryption processes, eliminating server dependencies and significantly reinforcing data confidentiality. The hybrid design strategically utilizes RC4 for rapid data processing and XChaCha20 for robust cryptographic protection, creating an optimal balance between performance and security.  System performance was rigorously evaluated using seven private datasets under diverse key conditions. Testing methodology included comprehensive assessment of processing speed, data integrity verification, and resistance against unauthorized access attempts. Results demonstrated flawless data restoration across all test cases, validating robustness and reliability. Encryption averaged 1.5 seconds, while decryption required 20.20 seconds metrics well-suited for practical web environments. These findings affirm SmartNotes delivers a secure, autonomous, user-centric solution for digital note management, advancing applied cryptography through a novel client-side hybrid encryption paradigm. This approach successfully balances strong security with practical performance, making it suitable for securing data in everyday web applications.
Development of Augmented Reality-Based English Learning Media for Vocabulary and Pronunciation Said Hirzi Hadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.6

Abstract

Digital note-taking applications serve as essential tools for personal information management, presenting opportunities for enhanced security mechanisms to protect sensitive data. Most current solutions depend on server-side processing, creating potential vulnerabilities and privacy concerns. However, a robust solution that fully executes hybrid encryption on the client-side to seamlessly protect both text and image data within a single application remains unexplored. This study introduces SmartNotes, a web-based application safeguarding text and image notes through an innovative hybrid encryption system synergistically combining RC4 and XChaCha20 algorithms. A key contribution is the full client-side execution of encryption–decryption processes, eliminating server dependencies and significantly reinforcing data confidentiality. The hybrid design strategically utilizes RC4 for rapid data processing and XChaCha20 for robust cryptographic protection, creating an optimal balance between performance and security.  System performance was rigorously evaluated using seven private datasets under diverse key conditions. Testing methodology included comprehensive assessment of processing speed, data integrity verification, and resistance against unauthorized access attempts. Results demonstrated flawless data restoration across all test cases, validating robustness and reliability. Encryption averaged 1.5 seconds, while decryption required 20.20 seconds metrics well-suited for practical web environments. These findings affirm SmartNotes delivers a secure, autonomous, user-centric solution for digital note management, advancing applied cryptography through a novel client-side hybrid encryption paradigm. This approach successfully balances strong security with practical performance, making it suitable for securing data in everyday web applications.
Sentiment Analysis of Public Opinion on PSSI Naturalization Program Based on Social Media Using the Naive Bayes Algorithm Mohammad Reza Fahalevi; Akbar Ilhamsyah; Arifin A. Abd. Karim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.7

Abstract

Football is the most popular sport in Indonesia and receives tremendous support from the public. However, the player naturalization program initiated by PSSI (the Indonesian Football Association) has become an issue that has captured public attention, generating diverse opinions on social media, particularly on the Twitter platform. This study aims to analyze public sentiment toward the naturalization program by applying the Naïve Bayes classification method. The data used consists of tweets containing keywords related to PSSI naturalization, naturalized players, descendant players, national team naturalization, and overseas players for the national team. The analysis process includes several stages of data preprocessing—such as text cleaning, normalization, and stop word removal—feature extraction using TF-IDF, and sentiment classification using the Naïve Bayes algorithm to categorize opinions into positive, negative, and neutral sentiments. The Naïve Bayes model achieved an accuracy of 0.65, precision of 0.42, recall of 0.65, and an F1-score of 0.51. It performed well in classifying neutral tweets but was less effective in identifying positive and negative sentiments. Overall, the Naïve Bayes method can be utilized for sentiment analysis; however, its classification performance is not yet optimal due to the limited amount of data.
Optimization of Environmentally Friendly Material Selection for Automotive Mechatronics Components Using LCA Data and Multi‑Criteria Decision Making (MCDM) Fauzi Ibrahim; Teuku Marjuni; Rina Febrina; Devi Oktarina; Natalina Natalina; Rani Ismiarti Ergantara; Diah Ayu Wulandari Sulistyaningrum
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.8

Abstract

The automotive industry faces an increasing demand for sustainable material selection as mechatronic components become more widespread in electrified vehicles. However, data-driven material selection approaches that simultaneously integrate environmental, economic, and technical criteria without laboratory experiments remain underdeveloped. This study addresses this gap by developing a computational framework that combines Life Cycle Assessment (LCA) with a Multi-Criteria Decision-Making (MCDM) approach, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, using Analytical Hierarchy Process (AHP)–based weights. The framework enables a transparent and reproducible evaluation of environmentally friendly materials for automotive mechatronic components. A case study on an actuator housing evaluates seven material alternatives: Al 6061 (die-cast), recycled Al (die-cast), Mg AZ91 (die-cast), PA6-GF30 (injection), PBT-GF30 (injection), PA12 (SLS 3D print), and bio-based PBT-GF30 (injection). The criteria include total global warming potential (GWP), cumulative energy demand (CED), water use, recyclability, cost, mass, stiffness index, thermal conductivity, and supply risk. Results show that recycled aluminum achieves the highest ranking (closeness coefficient = 0.939), followed by Al 6061 (0.727) and Mg AZ91 (0.547). A Monte Carlo analysis with 1,000 iterations confirms that recycled aluminum consistently remains the best option with 100% robustness under varying weighting conditions. The proposed workflow is replication-ready and can be directly integrated with established LCA databases such as GREET, Ecoinvent, or EPD, enabling engineers to perform sustainable and quantitative material decisions using only data and computational analysis.
Performance Analysis of Electric Bicycles with Planetary BLDC Motors under Different Rider Weights Hegen Persada; Ernando Rizki Dalimunthe; Fika Trisnawati; Novia Utami Putri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i2.9

Abstract

Electric bicycles are increasingly used as eco-friendly personal transportation due to their efficiency and low emissions. This study analyzes the effect of rider weight on the energy consumption of a 48V 14Ah lithium-ion battery in an electric bicycle equipped with a 500W planetary BLDC motor. Tests were carried out on three rider weight categories: 60–65 kg, 70–75 kg, and 80–85 kg, to evaluate their impact on current consumption, travel distance, and operating duration. Measurements were taken using a PZEM-015 sensor to monitor voltage, current, and battery capacity in real-time, while speed and distance data were recorded through the Strava application. The results show that as the rider’s weight increases, the average current consumption also rises, decreasing both distance and travel time in a nearly linear pattern. At 60 kg, the bicycle traveled 24.32 km with an average current of 9.52 A, while at 80 kg, the distance decreased to 19.76 km with an average current of 23.15 A. The findings indicate that rider weight significantly affects electric bicycles' performance and energy efficiency. Heavier riders require greater battery power, shorter travel range, and reduced operational efficiency.

Page 20 of 21 | Total Record : 201

 17   18   19   20   21 

Filter by Year

2016 2025


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 2 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 9 No. 1 (2024): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 1 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 1 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences) More Issue