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Formosa Journal of Computer and Information Science
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 28303040     DOI : https://doi.org/10.55927/fjcis.v1i2.1151
Core Subject : Science,
Computer Science & IT
Formosa Journal of Computer and Information Science (FJCIS) is an international platform for scientists, academics, practitioners and engineers involved in all aspects of computer science and information sciences to publish high quality, up todate, peer review papers. It is an international research journal sponsored by Formosa Publisher. The journal provide a platform for survey, research and review articles from experts in the field, promoting insight and understanding of the state of the art, and trends in computer and information sciences. The contents include original research and innovative theory and applications from all parts of the world. The journal publish articles twice in a year (March and August).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 76 Documents
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Blood Type Identification System in Humans Based on Digital Image Processing Muzaki Muaki; Aeri Rachmad; Indra Indra; Irfan AP
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16641

Abstract

Humans strive to imitate expertise through artificial intelligence approaches, including in medical diagnosis such as distinguishing human blood types A, B, AB, and O. Artificial Neural Networks (ANN) have been developed as a generalization of mathematical models of human learning. This paper discusses the development of ANN software to detect human blood types through recognition of clotting patterns. The clotting patterns of the four blood types can be distinguished well by experts. ANN with the backpropagation learning method is applied as expert learning to recognize blood types based on the clotting pattern formed after antigen reagents are administered. Several image pre-processing stages are used, including edge detection and feature extraction, to improve the recognition process and support accurate blood type identification through artificial intelligence techniques.
The Impact of Interactive Learning Media on Students’ Learning Interest Reni Pista Saragih; Mendarissan Aritonang; Alfonsus Situmorang
Formosa Journal of Computer and Information Science Vol. 4 No. 2 (2025): August 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i2.17142

Abstract

This study discusses the effect of interactive learning media on eighth-grade students at SMP GKPI Padang Bulan. The research method applied was a quasi-experimental design. Based on the results of the study, the average score of the final learning interest questionnaire in the experimental class was 86.26, while the control class obtained an average score of 62.90. It was found that the Asymp. Sig. (2-tailed) value was < 0.001. Since the significance value was smaller than 0.05, it can be concluded that Ha was accepted and H0 was rejected. Therefore, the study indicates that the use of interactive learning media in science subjects, particularly on the topic of the solar system, significantly influences the learning interest of eighth-grade students at SMP GKPI Padang Bulan.
Design of a Web-Based Academic Service System Using the Waterfall Method in the Information Technology Education Study Program Michael Immanuel Simanullang; Mendarissan Aritonang; Edward Rajagukguk
Formosa Journal of Computer and Information Science Vol. 4 No. 2 (2025): August 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i2.17143

Abstract

These issues affect the effectiveness of students in carrying out academic activities. As a solution, a web-based academic service application was developed with several main features, including the digital submission and management of academic letters to accelerate administrative processes, study program consultation services that enable real-time two-way communication between students and lecturers, and a digital academic archive that provides easy access to important documents such as internship reports, theses, and journals from previous students. The system was developed using the Waterfall method, which was implemented systematically through the stages of requirements analysis, design, implementation, and testing. The results of black-box testing showed that all features functioned properly according to user roles (admin, students, and lecturers).
Comparasion of Support Vector Machine and Decision Tree Methods in Sentiment Analysis of Social Media X User Toward the Free Nutritious Meal Program Olinda Nathaniel Mendrofa; Deva Angriani; Elvis Sastra Ompusunggu
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.16668

Abstract

The research stages include a preprocessing process consisting of cleaning, case folding, tokenizing, normalization, stopword removal, and stemming. Furthermore, the TF-IDF method is used to extract text features so that the data can be represented in numerical form. The dataset was then divided into training data and test data with an 80:20 ratio. The model evaluation was carried out using a confusion matrix by paying attention to the values of accuracy, precision, recall, and F1-Score. The results showed that the Support Vector Machine algorithm had better performance than Decision Tree in classifying the sentiment of social media users X towards the Free Nutritious Meal Program. The SVM algorithm obtained an accuracy score of 75.42%, precision of 74.65%, recall of 75.42%, and F1-Score of 74.96%. Meanwhile, the Decision Tree algorithm produced an accuracy value of 72.08%, precision of 73.33%, recall of 72.08%, and F1-Score of 72.59%.
A Comparative Analysis of Feature Selection Methods for Machine Learning-Based Phishing URL Detection Farah Yulianti; Jessica Forenziana
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.16783

Abstract

This study investigates the impact of three categories of feature selection methods which are filter-based, wrapper-based, and embedded on the performance and efficiency of machine learning classifiers for phishing URL detection. Experiments were conducted on the PhiUSIIL Phishing URL Dataset comprising 235,795 URLs (134,850 legitimate, 100,945 phishing) with 20 URL structural features. Results demonstrate that LASSO (Embedded) at k = 5 achieves an F1 score of 0.9975 versus the 20-feature baseline of 0.9965 (ΔF1 = 0.001). Given that this difference falls within the per-fold standard deviation of both configurations (≤ 0.0003), we treat the two configurations as operationally equivalent and frame the contribution as efficiency at unchanged accuracy rather than as an accuracy improvement.
Implementation of a Decision Support System Based on the Simple Additive Weighting (SAW) Method and Apriori Algorithm for Student Achievement Evaluation Mochammad Bagus Priyantono; Deni Mahdiana
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.16835

Abstract

This study aims to develop and implement a Decision Support System (DSS) to assess student achievement using the Simple Additive Weighting (SAW) method, complemented by the Apriori algorithm as a validation tool. The system evaluates students based on five criteria: academic performance, attendance, championships, discipline, and activeness. The SAW method is used to calculate preference scores and rank students objectively and systematically, while Apriori identifies frequently occurring transaction patterns and validates the consistency of new student data against the training dataset. Test results show that both SAW and Apriori achieved an accuracy of 87% compared to manual calculations, indicating that the combination of these two methods can provide consistent and reliable decisions.
Performance and Security Analysis of Aes-GCM, Chacha20-Poly1305, and Lightweight-PDAC Algorithms for Securing Exam Links at SMKN 1 Sukoharjo Muhammad Rifqi Anshory Anshory; Eka Ardhianto
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.16926

Abstract

This comprehensive study analyzes the performance and security of three distinct cryptographic algorithms, namely AES-GCM, ChaCha20-Poly1305, and Lightweight-PDAC, for securing Google Forms examination links. A quantitative experimental method combined with a multi-criteria survey mapping (MCDM) was employed using a robust framework encompassing benchmarks (encryption time, decryption time, memory consumption, ciphertext size, and Shannon entropy), OWASP Risk Assessment, and Cost-Benefit Analysis. The final scoring mechanism, which heavily integrated survey weights gathered from 20 diverse respondents including IT teachers, CBT administrators, and IT practitioners, reveals that Lightweight-PDAC achieved the highest final score of 0.9901. In comparison, ChaCha20-Poly1305 and AES-GCM achieved scores of 0.4924 and 0.4620, respectively. These significant findings strongly recommend Lightweight-PDAC as a highly efficient and balanced cryptographic solution for securing examination links, particularly on heterogeneous student devices with limited computational resources.
Project Management Analysis on the Development of Online Learning Systems at the XYZ Education Foundation Mochammad Bagus Priyantono; Akhmad Unggul Priantoro; Agung Prihartono
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.16934

Abstract

This study aims to evaluate the application of project management based on the Project Management Body of Knowledge (PMBOK) framework in the development of the Online Learning System at the XYZ Education Foundation. The method used is a case study with an evaluative descriptive approach through data collection techniques in the form of interviews, observations, and documentation. The analysis was carried out by comparing the implementation of project management in system development with the PMBOK standard which includes five groups of processes, namely initiation, planning, implementation, monitoring and control, and closure, as well as nine knowledge areas. The results of the study show that several aspects such as cost management, communication management, quality management, and stakeholder management have been implemented well, but there are still weaknesses in scope management, schedule management, resource management, and risk management.
Public Market Asset Mapping Based on Tauri-Rust and Hybrid Serverless Architecture Agung Widodo; Argo Dewana
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17043

Abstract

People's or traditional markets play a crucial role as the driving force of the micro-economy of urban communities. This research designed and built a Tauri-Rust hybrid desktop-based market asset data collection application with a hybrid serverless architecture. Digitalization of traditional markets is often hindered by server costs and installation complexity. This study designs a lightweight Tauri-Rust desktop application, Esurvey Pasar, using a zero-cost serverless architecture with Firebase for authentication and Google Apps Script to connect with Google Sheets. Real-world testing mapping 287 stands in Surabaya showed a 43.21% occupancy rate. The application reduces RAM usage by 83.33% and installer size by 95.86% compared to Electron. Native compilation with Link-Time Optimization enhances code security. The system provides a secure, lightweight, and cost-effective digital asset mapping solution.
Quality Evaluation of a Web-Based Life Insurance Claims Portal Using ISO/IEC 25010 Melati Indah Petiwi; Singgih Jatmiko
Formosa Journal of Computer and Information Science Vol. 5 No. 2 (2026): August 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i2.17100

Abstract

This study evaluates a web-based life insurance claim portal in Indonesia using ISO/IEC 25010 across four characteristics: functional suitability, performance efficiency, usability, and reliability. An evaluative design combined black-box testing (152 scenarios), Task-Based Evaluation (1 evaluator, 10 replications, 5 tasks), a System Usability Scale survey (N=250), and MTBF/MTTR analysis, triangulated with 144 historical issue tickets. Results show functional suitability, usability, and reliability scored Likert 3 (Sufficient), while performance efficiency scored Likert 5 (Very Good). Functional suitability is the highest improvement priority, based on ticket volume, Critical-severity defects, and weighted severity index. The triangulated approach reveals quality issues undetectable through single-method evaluation, offering a replicable model for regulated digital financial services.

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