JINAV: Journal of Information and Visualization
Vol. 7 No. 2 (2026), Pages 194-204 · 2026-08-31
OriginalPaper | Open access | Published: August 31, 2026
Knowledge-Based Recommendation for Mobile Tourism Venue Rental: Development, Black Box Testing, and Usability Evaluation
- Reinaldy Dwi Allail Kusnadi — Telkom University Purwokerto, Jl. DI Panjaitan No. 128, Purwokerto, Central Java 53147, Indonesia, Indonesia
- Rifki Adhitama — Telkom University Purwokerto, Jl. DI Panjaitan No. 128, Purwokerto, Central Java 53147, Indonesia, Indonesia
- Arif Riyandi — Telkom University Purwokerto, Jl. DI Panjaitan No. 128, Purwokerto, Central Java 53147, Indonesia, Indonesia
- Publication History
- Published online: August 31, 2026
- DOI
- https://doi.org/10.35877/454RI.jinav4921
- Copyright
- Copyright (c) 2026 Reinaldy Dwi Allail Kusnadi, Rifki Adhitama, Arif Riyandi
- User License
- https://creativecommons.org/licenses/by-nc-sa/4.0
Abstract
The digitalization of public services has increased the demand for mobile applications that provide accessible and efficient tourism venue rental services. However, existing web-based systems offer limited accessibility and do not assist users in selecting venues according to their activity requirements. This study develops a mobile tourism venue rental application integrated with a knowledge-based recommendation system for BLUD UPT Teratai Mas. The recommendation mechanism evaluates activity type, participant capacity, facilities, and location preference, followed by schedule-availability filtering. The application was developed using the Rapid Application Development method, with Flutter as the mobile framework, Laravel as the REST API backend, and MySQL as the database management system. Functional correctness was evaluated through Black Box Testing, while usability and user acceptance were assessed through User Acceptance Testing. The testing results indicate that the application functions according to the specified requirements and is well accepted by users. The integration of mobile services, expert-defined recommendation knowledge, rental submission, and schedule management provides an effective decision-support solution for tourism venue selection and rental services.
Keywords
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How to Cite
Kusnadi, R. D. A., Adhitama, R., & Riyandi, A. (2026). Knowledge-Based Recommendation for Mobile Tourism Venue Rental: Development, Black Box Testing, and Usability Evaluation. JINAV: Journal of Information and Visualization, 7(2), 194–204. https://doi.org/10.35877/454RI.jinav4921
Copyright & license
Copyright (c) 2026 Reinaldy Dwi Allail Kusnadi, Rifki Adhitama, Arif Riyandi 
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
