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IT For Society : Journal of Information Technology
Published by President University
ISSN : 25032224     EISSN : 2527595X     DOI : 10.33021
Core Subject : Science,
Computer Science & IT
IT For Society (ISSN 2503-2224); E-ISSN 2527-595X) is a biannual peer-reviewed journal published by President University. The journal has a scope relevant and related (but not limited) to information technology and information system.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol 9, No 2 (2024)" : 12 Documents clear
Design and Implementation of a Web-Based Inventory Management with Offline Capability: A Case Study at PT.XYZ Abdila, Saidila Valenti; Galina, Mia; Rahadiyan, Deffa; Rachmat, Rudi Suhradi
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.5918

Abstract

Abstract- Traditional inventory management systems encounter substantial difficulties in production settings with restricted IT infrastructure and stringent reliability demands. This study proposes the creation of a web-based inventory management system employing the LAMP (Linux, Apache, MySQL, PHP) stack to resolve machine spare parts stock management challenges that often lead to production downtime owing to limited internet connection in industrial environments. The system is additionally enhanced via the XAMPP framework. The tool facilitates stock data administration, documentation of arriving and outgoing items, tracking of item requisitions, and automated alerts for minimum stock levels or stock depletion, all without necessitating internet connectivity. Field installation results illustrate the system's ability to oversee inventory in real-time offline, produce automated reports (PDF and Excel). System testing employed White Box Testing (WBT) to validate functionality and performance, demonstrating an average response time of under 1 second per data enter and effortless report output to PDF/Excel formats for subsequent analysis. The test showed that the WBT achieved a 100% success rate, confirming that all functions operated as anticipated, and the data can be updated promptly, and providing a dependable inventory management solution for industrial settings with restricted internet connectivity. This research enhances realistic and adaptive inventory systems designed for manufacturing sectors.
OPTIMIZING NETWORK INTRUSION DETECTION USING A RANDOM FOREST AND XGBOOST CLASSIFIER TO PREDICT ANOMALY ACTIVITY Ezrafel, Amadeuz; Zuhri, Hasanul; Iswanto, Imron
IT for Society Vol 9, No 2 (2024)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/itfs.v9i2.6353

Abstract

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