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All Journal JURNAL SISTEM INFORMASI BISNIS Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Telematika Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Fountain of Informatics Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Tunjuk Ajar: Jurnal Penelitian Ilmu Pendidikan Jurnal DISPROTEK IJID (International Journal on Informatics for Development) Systemic: Information System and Informatics Journal JISKa (Jurnal Informatika Sunan Kalijaga) EkBis: Jurnal Ekonomi dan Bisnis Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Elementary School: Jurnal Pendidikan dan Pembelajaran ke-SD-an SATIN - Sains dan Teknologi Informasi Al-Intaj : Jurnal Ekonomi dan Perbankan Syariah
Wonoseto, Muhammad Galih
UIN Sunan Kalijaga Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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The Relational Data Model on The University Website with Search Engine Optimization Muhammad Riza Alifi; Hashri Hayati; Muhammad Galih Wonoseto
IJID (International Journal on Informatics for Development) Vol. 10 No. 2 (2021): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.3223

Abstract

The visibility of a university’s website on the search engine becomes an essential factor to reach a wider audience. One way to improve the visibility of a website is through Search Engine Optimization (SEO). University’s website development with SEO is inseparable from the data model because SEO supporting factors are parts of the consideration in the components and structure of the data model. This study aims to build a data model for a university website accompanied by SEO. The relational data model is used in this study based on the performance and maturity in defining schema-based design. This study was conducted through four sequential stages: literature review, planning, implementation, and evaluation. The resulting relational data model is one that has accommodated four supporting factors for SEO, namely Meta description, Meta keywords, URL structure, and image description. This study has succeeded in building a relational data model at the abstraction level of conceptual and logical.  In the conceptual data model, one entity and 11 attributes are formed. The logical data model was implemented in independent work environments using RelaX and operational requirements can be fulfilled by representing each table or relationship in the schema using relational algebra.
ANALISIS PENGARUH INSTITUTIONAL SUPPORT TERHADAP JOB SATISFACTION MELALUI AI-ENHANCED INNOVATION MENGGUNAKAN STRUCTURAL EQUATION MODELING muhammad galih wonoseto; Imam Riadi; Rusydi Umar
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8120

Abstract

Lecturers are at the forefront of implementing Artificial Intelligence in higher education. Although research on AI adoption continues to grow, most studies are still dominated by the Technology Acceptance Model, which primarily focuses on technology acceptance. Research examining the role of AI-Enhanced Innovation as a mechanism linking institutional support and work-related outcomes remains limited. Moreover, previous studies have largely focused on primary and secondary school teachers, leaving the application of AI among university lecturers underexplored. Lecturers’ readiness to utilize AI is a critical factor in the digital transformation of higher education. This study aims to examine the effect of Institutional Support on Job Satisfaction through AI-Enhanced Innovation among university lecturers. Partial Least Squares Structural Equation Modeling was employed to analyze data collected from 32 lecturers representing 17 higher education institutions in Indonesia. The results indicate that Institutional Support has a positive and significant effect on AI-Enhanced Innovation (β = 0.411; p = 0.019), while AI-Enhanced Innovation has a positive and significant effect on Job Satisfaction (β = 0.569; p < 0.001). However, the direct effect of Institutional Support on Job Satisfaction is not significant (β = 0.137; p = 0.337). These findings suggest that institutional support does not directly enhance lecturers’ job satisfaction but does so indirectly by fostering AI-based innovation in teaching and learning. AI-Enhanced Innovation fully mediates the relationship between Institutional Support and Job Satisfaction. This study contributes to the literature by integrating Institutional Support, AI-Enhanced Innovation, and Job Satisfaction into a single research model.
Evaluation of the User Experience of Shopee and TikTok Shop Among Generation Z Muhammad Galih Wonoseto; Dodi Saputro; Zahra Zakila Anindha Rahmanti; Eko Hadi Gunawan; Adriel Devara Sandji
Jurnal Sistem Informasi Bisnis Vol 16, No 1 (2026): Volume 16 Number 1 Year 2026 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol16iss1pp%p

Abstract

Digital transformation has accelerated the emergence of social commerce, a business model that integrates social interaction with online transactions. Although Shopee and TikTok Shop are among the leading digital commerce platforms in Indonesia, empirical studies comparing their user experience among Generation Z remain limited. This study aims to compare the user experience of Shopee and TikTok Shop among Generation Z users in Indonesia using the User Experience Questionnaire (UEQ). A comparative quantitative approach was employed, involving 60 respondents aged 18–27 years, consisting of 30 Shopee users and 30 TikTok Shop users selected through purposive sampling. Data were analyzed using UEQ score calculation, benchmark analysis, and independent sample t-tests. The results show that TikTok Shop achieved higher mean scores across all UEQ dimensions, particularly in Dependability (+0.47) and Stimulation (+0.33). UEQ benchmark analysis classified most Shopee dimensions as Below Average, whereas all TikTok Shop dimensions were categorized as Above Average. However, no statistically significant differences were found between the two platforms (p > 0.05), indicating that both provide relatively comparable user experiences. The novelty of this study lies in its comparative evaluation of a conventional e-commerce platform and a social commerce platform using the UEQ framework within the context of Generation Z users in Indonesia. The findings contribute to the growing body of social commerce literature by providing empirical evidence regarding how entertainment-oriented features and social interaction mechanisms shape user experience perceptions. These insights may assist platform developers in designing more engaging and user-centered digital commerce experiences.
Co-Authors Achyati, Shofia Dewi Adriel Devara Sandji Agung Fatwanto Agus Mulyanto Agus Mulyanto Ajie Dwihastadi Amin, Khuldun Arman Maulana Aswitasari, Rossa Dea Nur Nafi&#039; Dinik Fitri Rahajeng Pangestuti Dodi Saputro Eko Hadi Gunawan Eko Hadi Gunawan Enny Fitriani Nasution Gunawan, Eko Hadi Hashri Hayati Hayati, Hashri Hayyi&#039;lana Minamrina Rosyada Hikmatuzahwa, Chaerunisa Hunaif, Muhammad Abu Shaker Ilmiah, Dunyati Imam Riadi Irsalina Santi Khasanah M Didik R Wahyudi Mahfud Asyari Mahfud Asyari Minati, Sekar Muhammad Riza Alifi Muhammad Taufiq Nuruzzaman Muhammad Taufiq Nuruzzaman Muhammad Yolan Alfiandy Nabila Karima Azka Nazlah Mashlahati Novita Anggraeni Rossa Aswitasari Rosyada, Hayyi’lana Minamrina Rusydi Umar Sani, Ageng Asmara Sekar Minati Usfita Kiftiyani Zahra Zakila Anindha Rahmanti