Published: 2025-08-01
Usability Evaluation of the Railfood Feature in the Access by KAI Application Using System Usability Scale Method and Factor Analysis
DOI: 10.35870/ijsecs.v5i2.4361
Farah Aulia Nisa, Ahsanun Naseh Khudori, Wahyu Teja Kusuma
- Farah Aulia Nisa: Institut Teknologi, Sains, dan Kesehatan RS. DR. Soepraoen Kesdam V/BRW Malang , Indonesia
- Ahsanun Naseh Khudori: Institut Teknologi, Sains, dan Kesehatan RS. DR. Soepraoen Kesdam V/BRW Malang , Indonesia
- Wahyu Teja Kusuma: Institut Teknologi, Sains, dan Kesehatan RS. DR. Soepraoen Kesdam V/BRW Malang , Indonesia
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
This study assesses the Railfood feature in the Access by KAI application through System Usability Scale (SUS) methodology and factor analysis. Railfood allows train passengers to order meals online during travel, representing PT Kereta Api Indonesia's move toward digital service integration. Quantitative data from 400 users who accessed the feature within three years revealed a SUS score of 73.5 (Grade C), indicating moderate performance. Satisfaction ranked highest among measured factors, suggesting users found the interface approachable, while efficiency scored lowest due to the initial learning requirements. The gap between these factors points to specific improvement areas: simplifying navigation paths, adding visual cues, and implementing brief tutorials. Such adjustments would likely reduce user adaptation time while maintaining the satisfaction already achieved. The research offers practical value for mobile service development in transportation settings where users operate under time constraints and varying connectivity conditions. Results demonstrate how targeted usability evaluation can identify actionable refinements in transit-based digital services.
Keywords
Usability ; Railfood ; Access by KAI ; Indonesian Railways ; Feature Application
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 5 No. 2 (2025)
-
Section: Articles
-
Published: %750 %e, %2025
-
License: CC BY 4.0
-
Copyright: © 2025 Authors
-
DOI: 10.35870/ijsecs.v5i2.4361
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Farah Aulia Nisa
Informatics Study Program, Faculty of Science and Technology, Institut Teknologi, Sains, dan Kesehatan RS. DR. Soepraoen Kesdam V/BRW Malang, Malang City, East Java Province, Indonesia
Ahsanun Naseh Khudori
Informatics Study Program, Faculty of Science and Technology, Institut Teknologi, Sains, dan Kesehatan RS. DR. Soepraoen Kesdam V/BRW Malang, Malang City, East Java Province, Indonesia
-
Perdana, B. B. (2023). ANALISIS PENGGUNAAN KAI ACCESS DALAM MENINGKATKAN EFISIENSI MANAJEMEN LAYANAN PELANGGAN: STUDI KASUS PADA PT KAI (Persero). Jurnal Economina, 2(7), 1777-1788. https://doi.org/10.55681/economina.v2i7.673.
-
Lestari, M. A., & Pradana, M. (2024). Improving customer satisfaction: An analysis of Indonesia’s Railfood app e-service quality. J. Logist. Inform. Serv. Sci, 11, 116-125. https://doi.org/10.33168/jliss.2024.0407.
-
-
Handoko, F. A., Tundo, Kastum, Sarky, F. I., & Wijaya, R. (2025). Transformasi Digital: Pengembangan Sistem Informasi Penjualan Berbasis Web pada UMKM Barokah Jaya Cell di Bekasi dengan Pendekatan UI/UX. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(3), 1150-1157. https://doi.org/10.35870/jtik.v9i3.3820.
-
-
-
-
Maulana, M. I., Nur Azani, M. N., & Marta, P. A. (2023). Pentingnya Mempelajari Perilaku Konsumen Dalam Penciptaan Strategi Pemasaran yang Efektif Terhadap Kepuasan Pelanggan di Gojek. Prosiding Seminar Nasional Manajemen, 3(1), 181–190. Retrieved from https://openjournal.unpam.ac.id/index.php/PSM/article/view/35172
-
Alam, R. G., & Kurniasih, P. R. (2024). Penggunaan Metode System Usability Scale (SUS) pada Aplikasi Simamurat. JSAI: Journal Scientific and Applied Informatics, 7(2), 189-197. https://doi.org/10.36085/jsai.v7i2.6209.
-
Putri, C. R., & Fitriani, S. (2025). Analisa Usability pada Website Produk Masker Rambut It's My Holy. Jurnal Surya Informatika, 15(1), 36-40. https://doi.org/10.48144/suryainformatika.v15i1.2069.
-
Musyaffa, R. J., Priyanto, A., & Wijayanto, S. (2023). Evaluasi User Experience Aplikasi KAI Access Menggunakan Metode System Usability Scale (SUS) dan Cognitive Walktrough. LEDGER: Journal Informatic and Information Technology, 2(1), 28-47. https://doi.org/10.20895/ledger.v2i1.1025.
-
Kurniawan, E., Nofriadi, N., & Nata, A. (2022). Penerapan System Usability Scale (Sus) Dalam Pengukuran Kebergunaan Website Program Studi Di Stmik Royal. Journal of Science and Social Research, 5(1), 43-49. https://doi.org/10.54314/jssr.v5i1.817.
-
-
-
-
Azzadin, M. H., Akbar, R. F., & Yaqin, M. A. (2024). Evaluation of User Experience of Online Food Ordering Applications Using the Usability Method. Journal of Computing and Data Science, 2(2), 33-39. https://doi.org/10.18860/jocdas.v2i2.28353.
-
-
-
Sauro, J. (2018). 5 ways to interpret a SUS score. MeasuringU. https://measuringu.com/interpret-sus-score.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.