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Perancangan Sistem Informasi Administrasi Rukun Tetangga Berbasis Web Menggunakan Metode Scrum Miranty Yudistira; Dedy Setiawan; Ari Andrianti; Devi Listiani Safitri; Zikra Zana; M. Sakti Guruh Pratama
Jurnal Ilmu Komputer, Teknologi Dan Informasi Vol 4 No 2 (2026): Juli
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jurikti.v4i2.307

Abstract

The manual management of population administration at the Rukun Tetangga (RT) level causes significant inefficiencies, including slow data retrieval, physical document duplication, and a lack of transparency in social assistance distribution. This study aims to design and implement a web-based RT administration information system named BISAKELOLA at RT 14, Kenali Asam, Jambi City, which integrates resident data management and social assistance management into a single platform. The system was developed using the Scrum method through three iterative sprints, with data collected through direct observation, interviews, and literature review, and validated using Black Box Testing based on the Equivalence Partitioning technique. BISAKELOLA successfully centralized resident data, accelerated information retrieval, eliminated physical document duplication of family cards and identity cards, and digitalized the social assistance submission process into a more transparent workflow. All test scenarios across four main modules, namely authentication, resident data, social assistance, and account management, performed as expected without critical errors. Sprint reviews conducted at the end of each sprint proved effective in adaptively accommodating user requirement changes, resulting in a system that is functionally aligned with real community needs. BISAKELOLA proves to be an effective digital solution for modernizing RT administrative services and improving social assistance transparency, and is expected to serve as a replicable model for community-level digitalization across other RT/RW environments in Jambi City.
Analisis Faktor Penerimaan TikTok Go sebagai Layanan E-voucher Berbasis Modifikasi UTAUT2 dengan Metode PLS-SEM Amira Aurelia Salsabila; Daniel Arsa; Miranty Yudistira
Jurnal Ilmu Komputer, Teknologi Dan Informasi Vol 4 No 2 (2026): Juli
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jurikti.v4i2.330

Abstract

TikTok, as the fastest-growing social media platform in Indonesia, launched the TikTok Go service in February 2025. However, despite TikTok's massive user base in Indonesia, the market penetration of TikTok Go remains very low, at approximately 0.4% compared to 20% in the Chinese market. This low adoption rate potentially hinders service development, reduces platform revenue potential, limits incentives for content creators, and threatens the sustainability of partnerships with merchants. This phenomenon is supported by user review findings regarding various operational issues, such as technical glitches where barcodes fail to appear, data inconsistencies in product availability between merchants and the platform, and limited purchasing features in certain locations. This study aims to analyze the factors influencing user acceptance of TikTok Go by integrating a modified UTAUT 2 model. Data were collected through questionnaires from 180 respondents in Indonesia who have made at least two e-voucher purchases. The analysis was conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to test the structural and measurement models. The results indicate that Facilitating Conditions and Price Value significantly influence Purchase Intention. Furthermore, Habit and Purchase Intention significantly affect Use Behavior, while Social Commerce Construct plays a crucial role in enhancing User Trust. These findings confirm that strengthening facility support, optimizing pricing strategies, and fostering user habits are key drivers for increasing service adoption. Consequently, this study provides strategic recommendations for platform management to optimize facility support, pricing strategies, and engagement programs to enhance TikTok Go service adoption in Indonesia.