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Andri Wijaya
Buddhi Dharma University

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Journal : bit-Tech

Optimizing Student Housing Search with MAUT-Based Dorm Finder Web System Andi Leo; Imelda Linda Lestari; Andri Wijaya; Benny Daniawan
bit-Tech Vol. 6 No. 2 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i2.1053

Abstract

In response to the challenges faced by students in finding suitable temporary accommodations, this study introduces 'Dorm Finder,' a web-based information system utilizing Multi Attribute Utility Theory (MAUT). This innovative platform is designed to assist students in locating boarding houses that align with their preferences, taking into account amenities, location, and rental prices. MAUT allows for a nuanced and personalized decision-making process, enabling students to assign importance to various attributes, simplifying their search. The study also addresses the growing demand for efficient housing solutions, as the number of university students has increased by 4.02% in 2022. The research extends to evaluating the system's impact, aiming to support students in their search for accommodations that meet their specific needs based on key attributes. This evaluation will inform the development of more effective MAUT-based systems in the future. The use of MAUT in this context, with its demonstrated effectiveness in decision-making processes, reinforces the potential efficacy of the Dorm Finder system. The 'Dorm Finder' system offers a tailored platform that provides comprehensive information and customizes the search experience for individual student preferences. The system's design and implementation ensure an intuitive and efficient user experience through strategic interface design, including color selection, layout, and interactivity, facilitating a straightforward and enjoyable user journey. The system’s potential to revolutionize the way students locate and select accommodations is a significant contribution to the digitalization of the housing search sector.
Point-of-Sale System Architecture Design To Support the Digital Transformation of MSMEs (F&B) Lily Damayanti; Andri Wijaya
bit-Tech Vol. 8 No. 3 (2026): bit-Tech - IN PROGRESS
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3522

Abstract

The rapid development of information technology has encouraged Micro, Small, and Medium Enterprises (MSMEs) in the Food and Beverage (F&B) sector to digitalize their business processes to improve efficiency and competitiveness. However, most existing Point-of-Sale (POS) solutions adopted by MSMEs remain fragmented and application-centric, focusing primarily on transaction processing while lacking architectural integration across business processes, data management, application services, and supporting technology infrastructure. This architectural gap limits system scalability, interoperability, and long-term alignment with MSME operational growth. This study aims to design an integrated POS system architecture that positions POS development as an architectural transformation framework rather than a standalone system implementation. A descriptive qualitative, problem-solving approach is employed, involving requirement identification from multiple F&B MSMEs, enterprise architecture modeling using the TOGAF Architecture Development Method (ADM), and iterative refinement through Agile development cycles. The proposed architecture integrates business, data, application, and technology domains, producing a cohesive architectural blueprint and traceable design artifacts adapted to MSME operational characteristics and resource constraints. System validation is conducted through User Acceptance Testing (UAT) involving MSME end users. The results indicate high usability and functional adequacy for core operational activities, including sales transactions, inventory control, reporting, and petty cash management. These findings suggest that the proposed architecture is practically feasible for real-world adoption and can serve as a scalable foundation for future digital integration. Overall, this study contributes a structured and adaptable POS architectural framework that enhances integration, digital readiness, and sustainable transformation in the F&B MSME sector.