PRATAMA, YOGA ANDIKA (2026) RANCANG BANGUN SISTEM INVENTORY MP. VAPE STORE BERBASIS BUSSINESS INTELLEGENT. S1 thesis, Universitas PGRI Madiun.
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Abstract
ABSTRACT Yoga Andika Pratama. 2025. Design and Development of Business Intelligent-Based Inventory System for MP. Vape Store. Undergraduate Thesis. Informatics Engineering Study Program, Faculty of Engineering, Universitas PGRI Madiun. Advisor (I) [Supervisor’s Name], S.Kom., M.Kom. Co-Advisor (II) [Co-Supervisor’s Name], S.Kom., M.M. The Business Intelligence-based inventory system for MP. Vape Store was developed to enhance the efficiency and accuracy of stock management. In the previous manual system, stock recording was often delayed and prone to errors, which hindered the restocking process and sales analysis. The designed system provides real-time stock information, restock notifications, and a sales analysis dashboard to identify high turnover products. Development was carried out using the Waterfall method with Laravel, HTML, CSS, JavaScript, and MySQL technologies. Based on functional testing results involving the Warehouse Admin, Warehouse Staff, and the Owner, this system has proven capable of optimizing stock management efficiency and minimizing the risk of data recording errors. All core features, ranging from stock mutations to automated notifications, operate in accordance with operational requirements, serving as a reliable decision-support instrument for MP. Vape Store management in making accurate data-driven decisions. Keywords: Inventory System, Business Intelligence, Laravel, MySQL.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Inventory System; Business Intelligence; Laravel; MySQL |
| Subjects: | A Social Sciences > HF Commerce Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | PRATAMA ANDIKA YOGA |
| Date Deposited: | 07 May 2026 07:27 |
| Last Modified: | 07 May 2026 07:27 |
| URI: | http://eprint.unipma.ac.id/id/eprint/7530 |
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