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Bulletin of Computer Science Research
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27743659     DOI : -
Core Subject : Science,
Computer Science & IT
Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, Fault analysis, and Diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data • Cryptography • Model and Simulation • Image Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 329 Documents
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Integrasi PIPRECIA dan MACROS Dalam Penentuan Lokasi Pertanian Berkelanjutan Hakim, Irma; Asdi; Eryanto, Oktoni
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.703

Abstract

This study develops a decision support system for selecting sustainable agricultural locations amid the challenges of climate change. Two integrated multi-criteria decision-making (MCDM) methods are employed: PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) to determine the importance weights of criteria based on expert rankings, and MACROS (Measurement Alternatives and Ranking according to the Compromise Solution), a structured method used to evaluate and rank alternatives through normalization, weighted scoring, and compromise-based ranking. Six key criteria are considered: water availability, land suitability, flood risk, market access, government support, and microclimate conditions. The integration of PIPRECIA and MACROS enables a systematic and transparent evaluation process. The results indicate that location "G" achieves the highest compromise score of 0.985, signifying its suitability as the most optimal site for sustainable agricultural development. The primary contribution of this research lies in offering a quantitative and structured approach that accommodates environmental uncertainties while enhancing decision-making transparency. By integrating expert judgment with computational assessment, this model supports data-driven decision-making in the planning of agricultural development. These findings are expected to provide strategic insights for policymakers in formulating adaptive agricultural policies, strengthening food security, and improving farmer welfare through accurate and sustainable location selection.
Penggunaan Metode Naïve Bayes untuk Klasifikasi Topik Tweet Bidang dan Non-Bidang Rektorat Telkom University pada Akun Telyufess Mukhammad Hafiz Bima Ibrahim; Anisa Dzulkarnain; Alqis Rausanfita
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.705

Abstract

Student complaints submitted through the Telyufess account on the social media platform X have not been optimally utilized as input for evaluating campus services at Telkom University. This study aims to classify tweets from the Telyufess account into two categories: domain-related (linked to official university units such as academics, finance, and campus services) and non-domain (general complaints unrelated to specific units). The main issue addressed is the need for an automated mapping system of student complaints to support campus service evaluations. The classification method used is Naïve Bayes, involving manual labeling by the researcher and assistant annotators (with inter-rater validation), text preprocessing (normalization using a standard dictionary and the Sastrawi library, removal of special characters, stop word filtering based on Indonesian language lists augmented with the unique term “telyu!”), tokenization, stemming, TF-IDF weighting, and dataset splitting in ratios of 65:35, 70:30, 80:20, and 90:10. A total of 1,090 tweets were collected between January 1, 2023 and January 1, 2025 using the Tweet Harvest API, based on criteria including complaints, opinions, and suggestions (retweets were excluded). The highest accuracy was achieved at 87.27% with a 90:10 split, followed by 81.74% (80:20), 78.35% (70:30), and 76.96% (65:35). Although the model showed signs of overfitting on training data (accuracy >99%), the results demonstrate that Naïve Bayes is effective for automated tweet classification and contributes to the use of social media as a data source for evaluating campus services.
Perancangan Sistem Arsip Data Digital Menggunakan Model Waterfall Berbasis Web Aryono, Gagah Dwiki Putra; Prasetya, Bima; Auliana, Sigit
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.708

Abstract

This research aims to design a digital data archiving system at PT Perkebunan Nusantara Regional I Kebun Cisalak Baru. This system was developed to replace the existing manual process, making archive management faster, easier, and more secure. The system was built using PHP Native and MySQL, and tested using the black box method to ensure its functionality runs smoothly. The development results show that the system is able to manage archive data effectively, from input and search to report printing. With this system, administrative processes become more efficient and organized.
Implementasi Entreprises Resource Planning Berbasis Web dan Mobile Menerapkan Metode SCRUM Syahdan, Muhammad; Nanang, Nanang; Suryaningrat, Suryaningrat; Machfud, Syaeful
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.711

Abstract

Companies operating in the property sector have highly complex business processes involving multiple divisions, such as engineering, marketing, legal, and finance. However, many property companies still manage their data manually and in a fragmented manner, leading to various risks such as data entry errors, communication failures, and other inefficiencies. This study aims to implement an integrated web- and mobile-based Enterprise Resource Planning (ERP) system to support and streamline business processes in a property company, making them more efficient and effective. The development methodology used is Agile, with data collected through interviews, observation, and documentation studies. The system was developed using web and mobile technologies to provide users with flexible access. The implementation results show that the developed ERP system is capable of supporting and improving business processes in the property sector, facilitating real-time data tracking, and increasing operational efficiency. With this system, the company no longer needs to rely on manual data recording and can improve the accuracy of decision-making. This research demonstrates that a digitally based ERP system can be a strategic and effective solution for property companies in facing the challenges of the modern era.
Analisis Performa Variational Quantum Classifier (VQC) dengan ZZ Feature Map dan Angle Encoding Untuk Mengidentifikasi Serangan Jantung Rahma, Hilmia; Dahlan Abdullah; Desvina Yulisda
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.712

Abstract

Heart attact is one of the leading causes of death worldwide, with mortality increasing due to delayed diagnosis and limited facilities in some regions. Early detection during the crucial first hour after symptoms appear (the golden hour) is crucial for reducing mortality and improving patient prognosis. This study aims to evaluate the performance of the Quantum Neural Network (QNN) by implementing the Variational Quantum Classifier (VQC) model using two types of feature maps: ZZ Feature Map and Angle Encoding, for heart attack detection classification using datasets from Kaggle. The research process includes dataset collection, Exploratory Data Analysis (EDA), data preprocessing and splitting, model building using ZZ Feature Map and Angle Encoding, ending with model performance evaluation. The results showed that VQC using ZZ Feature Map achieved an accuracy of 52.27% with a confusion matrix showing suboptimal predictions and relatively low precision, recall, and F1-score values. Meanwhile, VQC using Angle Encoding achieves an accuracy of 68.18% with a confusion matrix that shows a higher number of correct predictions and better precision, recall, and F1-score results compared to VQC using ZZ Feature Map. Evaluation using a confusion matrix shows that the model with Angle Encoding can minimize the prediction error. However, the accuracy achieved is not yet optimal for direct clinical implementation. These findings underscore the need for further development to enhance model performance, while serving as a promising first step toward establishing a foundation for developing more optimal QNN methods in the future.
Analisis Pengaruh Technology Readiness Terhadap Minat QRIS Dalam Melakukan Pembayaran Dengan Menggunakan Metode TRAM Rostati, Fitri; Ari Saptari, Mochamad; Muthmainnah
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.713

Abstract

QRIS is a payment method that is currently frequently used by the public in making transactions. QRIS is currently quite popular among the public, as evidenced by the increasing number of QRIS users. The use of QRIS is highly sought after by the public. This interest in using QRIS is believed to occur due to the influence of the application of new technology (Technology Readiness Acceptance Model). The purpose of this study was to determine the factors that influence interest in using QRIS and to determine the obstacles faced by the public in making payments using QRIS based on the Technology Readiness Acceptance Model method. The analysis method used is the Partial Least Squares-Structural Equation Modeling method. The results of the study indicate that the factors that influence interest in using QRIS in making payments based on the Technology Readiness Acceptance Model method are optimism, innovativeness, perceived ease of use, and perceived usefulness. Meanwhile, obstacles faced in making QRIS payments are a lack of security, frequent failures in making transactions, and not all business actors have QRIS in payment transactions.
Implementasi Metode Prototype Pada Sistem Informasi Penjualan Berbasis Web: Sistem Informasi, Penjualan, Web, UMKM, Prototype Lawolo, Erniyanti; Prihati, Yani; Prakoso, Satrio Agung
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.714

Abstract

In today's digital era, the use of technology has become a primary need in supporting business activities, including in the micro, small, and medium enterprise sector, MSMEs are required to be more digitally literate in order to compete and win the competition in the business world. MertaBeauty is an MSME engaged in the sale of cosmetic and skincare products, but still uses manual methods in managing sales, stock, and reports, which hinders operational efficiency in running its business has not maximized the use of digital which makes the transaction process slow and allows errors in recording. This study aims to build a web-based sales information system to simplify the transaction process, product management, and report preparation. The method used is prototyping, with the final result being a web-based system that supports the management of products, transactions, stock, promotions, and sales reports. The implementation of this system is expected to increase operational effectiveness, as well as support MertaBeauty's digital marketing strategy more optimally. The prototyping method is used because it is a flexible, efficient, and user-centered way to develop products. It helps ignite the fire, minimize risks, and produce products that are more in line with market and user needs.
Penerapan Model Least Square Untuk Prediksi Nilai Dalam Sistem Pengabdian Berbasis Website Delita Nova Rahmawati; Canggih Ajika Pamungkas; Edy Susena
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.715

Abstract

This study aims to develop a web-based internship information system (PKL) at SMK At-Taqwa Muhammadiyah Miri to replace the manual process of recording student attendance and daily activity reports. The main problem addressed in this research is the inefficiency of PKL administrative processes, which are still carried out manually, leading to a high risk of data loss, delayed reporting, and low accuracy in student performance evaluation. In addition, monitoring student activities by supervisors and teachers is less than optimal due to the absence of a real-time integrated reporting system. The system was built using the Waterfall method with the Laravel framework and MySQL database, and it integrates a Least Square regression model to predict students’ final scores based on their attendance and daily activities. The system testing results showed 100% functional success across 16 test scenarios using the Black Box method. This system is expected to improve efficiency, transparency, and objectivity in monitoring and evaluating internship activities.
Evaluasi Usability Aplikasi Presensi Mobile UMP Menggunakan Metode User Experience Questionnaire dan Think Aloud Ichsan, Maulana; Wibowo, Feri; Harjono, Harjono; Badharudin, Abid Yanuar
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.719

Abstract

The implementation of a mobile-based digital attendance system in higher education aims to enhance the efficiency of academic administration and the accuracy of attendance data. However, various challenges remain that impact the quality of user experience, including suboptimal authentication processes, the absence of logout notifications, limited attendance data visualization, and lack of login information storage features. These issues can potentially diminish user convenience and reduce long-term application efficiency. At Universitas Muhammadiyah Purwokerto, a barcode-scanning-based attendance application has been deployed; however, a comprehensive usability and user perception evaluation has not yet been conducted. This study aims to evaluate the usability of the application using a mixed-method approach that combines quantitative and qualitative methods, namely the User Experience Questionnaire (UEQ) and the Think Aloud protocol. The UEQ method is employed to assess user perception across six dimensions: attractiveness, clarity, efficiency, dependability, stimulation, and novelty. In contrast, the Think Aloud method explores users’ real-time verbal feedback and difficulties while interacting with the application. A total of 100 respondents completed the UEQ, and 5 participants took part in the Think Aloud sessions. The results indicate that all UEQ dimensions received positive scores, with clarity scoring the highest (mean = 1.95) and novelty the lowest (mean = 1.35). Findings from the Think Aloud sessions corroborate the UEQ results and reveal previously unidentified areas for improvement. Based on these insights, user-centered design recommendations were developed and translated into a user interface prototype. This study not only provides a comprehensive usability evaluation but also offers direction for the development of a more intuitive and adaptive mobile attendance application that can be adopted by other educational institutions.
Sistem Informasi Keamanan Kunci Pintu Pintar Berbasis Internet of Things Notifikasi Real-Time Berbasis WhatsApp Suy, Kaleb; Sufajar Butsianto; Supriyanto
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.720

Abstract

Security remains a primary concern in domestic and marketable structures, especially as conventional door cinches come decreasingly vulnerable to duplication and forced access. This study presents the design and perpetration of a smart door lock security system grounded on Internet of Things and Radio frequence Identification technologies. The main ideal is to give a real- time, ever controlled locking medium integrated with a mobile- grounded messaging platform. The development process adopts the nimble methodology, which promotes inflexibility, responsiveness to stoner feedback, and rapid-fire replication in software and tackle integration. The tackle armature utilizes ESP32 and Arduino Nano microcontrollers to manage essential factors, including RFID compendiums, relays, buzzers, solenoid cinches, LED and LCD as display module. On the software side, the system incorporates a pall connected messaging operation to deliver real- time announcements to druggies, including cautions for unauthorized access attempts, successful entries, and low battery warnings. Data communication between the microcontrollers is enforced via periodical protocol, while the commerce with the messaging service is established using the HyperText Transfer Protocol. Testing involved colorful scripts including valid access, unrecorded card attempts, and remote commands. The testing scenario uses three RFID cards and a WhatsApp chatbot, with one card as the master and the other two as access cards, with each card undergoing three trials. Results demonstrate a high success rate in card discovery and command prosecution with an average system response time below one second. The system also allows druggies to register and remove access cards via a master card medium, which enhances usability and control. This exploration contributes a low- cost, customizable, and effective security result suitable for smart homes, boarding houses, and small- scale marketable parcels. It shows the feasibility of integrating open- source microcontrollers with everyday messaging tools to achieve effective, real- time home security. The proposed system provides a foundation for unborn exploration in combining internet grounded control systems with biometric detectors or machine literacy grounded access analytics such as developing a separate mobile application so that it does not use third-party applications, allowing users to obtain more accurate feedback through door leaf detector sensors.

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