Supriyanto Supriyanto
Informatics Department, Universitas Ahmad Dahlan

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Possible System Architecture for Travel Recommender Supriyanto Supriyanto; Jefree Fahana
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.573

Abstract

Travel recommender systems have been developed to meet the needs of users in the field of tourism. This system has several versions depending on the characteristics of the country, users and filtering techniques used. The development of recommendation filtering system techniques is very rapid so that the recommendation system has high enough complexity, but it also must have high usability. This paper discusses how the travel recommender system architecture is built by examining data structures, processing procedures and interaction design. The goal is to obtain the best usability in implementing a travel recommendation system. The system is built using the example case of finding the right tourist spot in Yogyakarta, Indonesia. This system applies several filtering techniques such as knowledge-based filtering, content-based filtering, and collaborative filtering. The evaluation results show that the system architecture optimized gets a usability level acceptable.
Markerless Tracking Based on User Defined Targets to Enhance User Experience in Android-Based Furniture Visualization Applications Indra Wijaya; Supriyanto Supriyanto
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 4 (2025): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i4.813

Abstract

Furniture is essential for daily activities and enhances the aesthetic appeal of various environments, including residences, commercial establishments, and cafes. Traditionally, furniture retailers display their products through catalogs or brochures. However, such media often fail to provide a comprehensive view of the furniture, hindering prospective buyers from evaluating items from all angles or determining their suitability for a specific room. This study proposes developing an Android application for interior layout design. It addresses these challenges by employing Augmented Reality technology in conjunction with a Markerless User Defined Target technique. The utilization of markerless user-defined targets is particularly advantageous, as it eliminates the requirement for predefined physical markers. This simplifies the process for the user and offers greater flexibility compared to conventional marker-based approaches, representing a key novelty of this work. The resultant software features a product catalog and comprehensive product information. It also allows users to view 3D augmented reality items, as well as scale, rotate, and manipulate these objects within their environment. Two individuals verified the system's operation through functional testing employing the Blackbox methodology. Usability testing, using the System Usability Scale, yielded above-average ratings, categorizing the software as "acceptable." Further examinations of viewing distance and angle indicated that camera quality influences augmented reality range, with AR objects remaining visible at angles ranging from 90° to 40°. These evaluations indicate that the Markerless User Defined Target method is effective and suitable for AR-based interior furniture layout planning.