cover
Contact Name
Ari Zulsafar
Contact Email
zulsapar@telkomuniversity.ac.id
Phone
+62 852-8098-3983
Journal Mail Official
journals@telkomuniversity.ac.id
Editorial Address
Telekomunikasi No.1, Sukapura, Kec. Dayeuhkolot, Kabupaten Bandung, Jawa Barat
Location
Kota bandung,
Jawa barat
INDONESIA
Indonesian Journal on Computing (Indo-JC)
Published by Universitas Telkom
ISSN : 24609056     EISSN : 24609056     DOI : https://doi.org/10.34818/INDOJC
Indonesian Journal on Computing (Indo-JC) is an open access scientific journal intended to bring together researchers and practitioners dealing with the general field of computing. Indo-JC is published by School of Computing, Telkom University (Indonesia). The journal coverage includes, but is not limited to: Networks, security, and Computer systems. Network architectures, Network protocols, Network services, Cryptography, Formal methods, network security, Systems security, and embedded System, Software engineering. Software system structures, Contextual software domains, Software creation and management, Software notations and tools, and Software functional properties Theory of computation, and Computing methodologies. Models of computation, Computational complexity, Game Theory, Symbolic and algebraic manipulation, Parallel computing methodologies, Artificial intelligence, Machine learning, Modeling and simulation, Computer vision, and Mathematics of computing Information technology. Data management systems, Information storage systems, Information systems applications, web technology, and Information retrieval Human-centered computing and Applied computing. Human computer interaction (HCI), Collaborative and social computing, Ubiquitous and mobile computing, Visualization and Accessibility, and applied computing
Articles 12 Documents
Usability Analysis of the KBStar Mobile Banking Application Based on User Interface Aspects: A Heuristic Evaluation Approach William Eko Saputro; Yuhilza Hanum
Indonesian Journal on Computing (Indo-JC) Vol. 11 No. 2 (2026): August, 2026
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/indojc.v11i2.10185

Abstract

The rapid growth of digital banking services highlights the need for continuous usability evaluation to ensure effective user interaction. This study analyzes the usability of the KBStar mobile banking application from a user interface perspective using Nielsen’s Heuristic Evaluation method. A questionnaire consisting of 33 items was distributed to internal employees of Bank KB Bukopin as active users of the application. Validity and reliability tests confirmed that all questionnaire items met the required standards, with a Cronbach’s Alpha value of 0.963, indicating high instrument reliability. The usability assessment resulted in a total score of 123.24, placing the KBStar application in the “Feasible” usability category. All ten heuristic aspects including system visibility, consistency, user control, and aesthetic design—were rated in the “Good” category. The findings suggest that the KBStar application provides a consistent, efficient, and user-friendly interface for internal users. Recommendations for improving help documentation and support for diverse user groups are provided to enhance future usability.
Hybrid Recom Hybrid Recommendation System for University Major Selection Using Sentence-Transformers, FAISS, and Rule-Based Matching Study Case at SMK Telkom Jakarta: Hybrid Recommendation System for University Major Selection: A Case Study at SMK Telkom Jakarta Muhammad Kahfi Bachtiar; Eko Darwiyanto; Thofik Nugroho
Indonesian Journal on Computing (Indo-JC) Vol. 11 No. 2 (2026): August, 2026
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/indojc.v11i2.11185

Abstract

For vocational high school students, choosing a college major is crucial because it affects career suitability, skill development, and academic motivation. This study developed a hybrid recommendation system for students at Telkom Jakarta Vocational High School who are majoring in computer and network engineering and software engineering. This system combines rule-based matching for domain-based re-ranking, FAISS for vector similarity search, and Sentence-Transformers for semantic representation. Free-form text is used to represent students’ varied interests, preferences, hobbies, vocational skills, and report card grades. FAISS is used to index and convert the main descriptions into embeddings. Subsequently, the majors targeted by prospective students are re-ranked based on academic requirements, interest keywords, and competency linearity rules. Usability questionnaires and labeled data testing were used in the evaluation. The system achieved a Precision, Recall, and F1-Score of 0.8333 in a Top-3 scenario without report cards. The third metric was 0.7667 with report cards. This prototype is fairly easy to use and understand, based on an average SUS score of 69.57

Page 2 of 2 | Total Record : 12