https://ejournal.imbima.org/index.php/expertnet/issue/feed 2026-03-27T00:00:00+00:00 Ita Fitriati itafitriati88@gmail.com Open Journal Systems <p align="justify"><strong>Expert Net</strong>: <strong>Exploration Journal of Technological Education Trends</strong> adalah jurnal penelitian yang diterbitkan oleh Yayasan Insan Mulia Bima dengan mengimplementasikan Jurnal <strong>Open Access. </strong></p> <p align="justify"><strong>Expert Net</strong>:<strong>Exploration Journal of Technological Education Trends</strong> menerbitkan artikel dalam <strong>Bahasa Inggris</strong> dan <strong>Bahasa Indonesia</strong> yang diterbitkan 3 kali setahun yaitu periode Februari, Juni, dan Oktober. Artikel yang dapat dipertimbangkan untuk diterbitkan dalam jurnal ini adalah hasil penelitian yang sesuai dengan fokus dan ruang lingkup jurnal diantaranya: (1) Education Technology, (2) Multimedia, (3) Gamification, (4) Web Education, (5) Application Mobile Education, (6) E-Learning, (7) Vocational, (8) Computer Network, (9) Software Engineering, (10) IT Innovation and Educational Trends, (11) Mobile Learning, (12) Mixed Learning.</p> https://ejournal.imbima.org/index.php/expertnet/article/view/652 2025-12-21T12:35:23+00:00 Nardine Nur Asyifa nardine.10111046@student.polsub.ac.id Ahmad Ramdani ahmad.10111002@student.polsub.ac.id Sahwa Aninda Kusnandar sahwa.10111060@student.polsub.ac.id Rian Piarna piarna@polsub.ac.id

<p><em>This web-based convection information system was developed using the Software Development Life Cycle (SDLC) Waterfall model to address the main issues in manual stock management within convection businesses, including inaccuracies in recording and the risk of loss for both raw materials and finished products. The system is designed to provide an integrated solution, including multi-level user authentication (admin, owner, warehouse staff, and production staff), real-time summary dashboard, management of raw materials, finished products, supporting items, as well as a warehouse module for recording incoming and outgoing goods with early warning for low stock. Its implementation utilizes Native PHP and MySQL database on the XAMPP environment, having undergone requirements analysis through interviews and observations, design of DFD levels 0-3 and ERD, intuitive UI/UX implementation, and manual black-box testing that validates functional accuracy. Overall, the system accelerates the recording process by up to 70%, significantly improves stock data accuracy, and supports strategic decision-making through exportable automatic audit reports, thereby reducing the likelihood of human error in convection business operations. This development not only optimizes the efficiency of textile SMEs like Konveksi Om Ending but also provides a scalable foundation for expansion, including predictive analytics integration and mobile access, ensuring long-term competitiveness in the digital era.</em></p>

2026-03-27T00:00:00+00:00 Copyright (c) 2026 Nardine Nur Asyifa, Ahmad Ramdani, Sahwa Aninda Kusnandar, Rian Piarna