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Yudatama, I Ketut
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Computer Science & IT

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Rancang Bangun Sistem Penjualan dan Inventaris Toko Bangunan XYZ Berbasis Laravel 11 Dan Tailwind CSS Dengan Flowbite Anggreni, Ayu Desi Relia; Murdika, Pande Made Angga; Yudatama, I Ketut; Putra, I Wayan Edlyn Arsanta; Sanjaya, I Gede Wahyu
Journal Informatics Nivedita Vol 2 No 1 (2025): Journal Informatics Nivedita
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/nivedita.v2i1.5101

Abstract

The sales and inventory management system at XYZ Building Store often faces numerous problems stemming from manual methods, such as errors in documentation, slow stock report production, and transaction inefficiencies. The waterfall model is best suited for system development in small to medium projects, especially when system requirements are defined from the beginning. Needs evaluation, system design, system development, system feasibility assessment, and system maintanance are elements of the waterfall model. This research intends to create a web-based sales and inventory management platform for the XYZ building store by employing Laravel 11 and Tailwind CSS frameworks, along with the Flowbite template. The Laravel and Tailwind CSS frameworks were chosen for their capability to ease website development and create a sleek, contemporary, and responsive site. The study's results demonstrate that the created system has successfully met user needs and incorporates a modern and flexible design. The results from assessing the system developed through the Black Box Testing method, comprising 6 modules and 12 scenarios, demonstrate a 100% validity rate, which implies that the system functions efficiently and is appropriate for general application.
Analisis Jejaring Sosial Berdasarkan Topik Perbincangan “PPN 12 Persen” Di Sosial Media X Yudatama, I Ketut
Journal Informatics Nivedita Vol 2 No 2 (2026): Journal Informatics Nivedita
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/nivedita.v2i2.6309

Abstract

The policy to increase the Value Added Tax (VAT) rate to 12%, as mandated by Law Number 7 of 2021 concerning the Harmonization of Tax Regulations, has sparked diverse responses from the public, particularly on X (formerly Twitter) as a digital public discourse space. This study aims to analyze the social network structure and identify central actors within the public conversation regarding the "PPN 12 Persen" (12 Percent VAT) issue on X. The methodology employs Social Network Analysis (SNA), utilizing Python and Selenium for web scraping, and Gephi software for network visualization and analysis. Data collected from October 2024 to March 2025 yielded 4,092 nodes and 3,799 edges characterized as a directed graph. The results indicate that the network has low density and is divided into numerous communities; however, it possesses a network diameter of 4 and an average path length of 1.38, suggesting relatively short distances between actors. Centrality analysis reveals that the account @prabowo is the most influential actor with the highest eigenvector centrality, signifying the dominance of a single primary actor within the network. Although the network is fragmented and centralized, information dissemination remains rapid within the established network structure.
Co-Authors Anggreni, Ayu Desi Relia Murdika, Pande Made Angga Putra, I Wayan Edlyn Arsanta Sanjaya, I Gede Wahyu