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Journal : Jurnal Teknologi Informasi dan Pendidikan

Designing Web-Based Mess and Dormitory Booking Applications Darwin, Widya; Zulfadli, Zulfadli; Yuliady, Ilham; Jusmardi, Jusmardi; Deswina, Melri
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 1 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i1.817

Abstract

Designing a web-based mess and dormitory booking application is an innovative step in increasing the efficiency and comfort of housing services for students. This application aims to replace the manual ordering system with a web technology-based solution that makes it easier for students to access information and make reservations practically. The method used is waterfall, where the software design process is sequential which develops downwards like a waterfall and is a method suitable for use in designing systems whose specifications do not change and are systematic and sequential, so that each stage in the design process will begin when the previous stage has been completed. There are 5 stages in the waterfall method, namely analysis, design, implementation, testing, and maintenance. Allows users to easily check real-time availability, facilities and rates of mess and hostels. Through an integrated online booking system, students can make room reservations quickly, efficiently and hassle-free. The application of web technology is expected to reduce complexity in managing student housing, save time, and increase information transparency. The use of web-based Mess and Dormitory Booking Applications not only optimizes housing management, but also improves the student experience in finding housing that suits their preferences and needs. Thus, it is hoped that this application can make a positive contribution to the advancement of information technology in the academic environment and provide a modern solution for student housing needs.
Analysis of Factors Influencing the Decision to Select Thai Nguyen University of Information Technology and Communication Tuan, Bui Ngoc; Deswina, Melri; Darwin, Widya; Febrianti, Novi
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 1 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i1.858

Abstract

This article presents a study that aims to examine and analyze the factors that influence students' decisions in choosing the Thai Nguyen University of Information and Communication Technology. The research intends to assist universities in gaining a deeper understanding of the crucial factors that students consider when selecting a university. Consequently, this will lead to the development of more effective admission policies and strategies. The study involved collecting data from a random sample of first-year students at Thai Nguyen University of Information and Communication Technology during 2022. Data was gathered using questionnaires and both qualitative and quantitative research methods, utilizing SPSS 20 software. The findings from factor analysis indicated that a multiple regression model was suitable for assessing the factors that influence decisions to enroll in the Thai Nguyen University of Information and Communication Technology. Variables such as CSVC1 (Adequate classrooms meeting to learning needs), CSCV4 (Modern and well-equipped library with ample study materials), HP3 (Generous scholarships for various groups), VL3 (Supportive policies for employment during studies), DT2 (Curriculum aligned with social needs), DT4 (High-earning graduates), and DNGV1 (Highly qualified and standardized faculty) showed significant correlations with the dependent variable - students' career choices. The results demonstrated that the proposed model was well-fitted, with favorable levels of compatibility indices (CFI, TLI) and accuracy (GFI, RMSEA). Additionally, the outcomes of the Structural Equation Modeling (SEM) supported the appropriateness of the proposed model and its capability to explain the relationships between variables in the study. Based on these research findings, the article provides recommendations, including enhancing faculty quality, improving infrastructure and facilities, diversifying programs, and enhancing university information dissemination to elevate the quality and quantity of future admissions.