Digital Warehouse Information System PT Tata Metal Lestari
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Sistem Pendukung Keputusan,
Transformasi Digital,
Metodologi Scrum,
Sistem Pengelolaan Warehouse Data Mining (C4.5 Algorithm),
Decision Support System,
Digital Transformation,
Scrum Methodology,
Warehouse Management System
Main Article Content
Abstract
Abstract− The purpose of this study is to address administrative inefficiencies and human error risks in the Warehouse Division of PT Tata Metal Lestari, which relied heavily on manual, paper-based systems. These issues disrupted operational coordination and hindered real-time monitoring. To solve this, a Digital Warehouse Information System was designed and developed using the Scrum method over five sprints. The system integrates various modules, including shipping mark generation, container load planning, packing list creation, vehicle checklists, and exit permits.
This research adopts a system development approach and incorporates the C4.5 decision tree algorithm to implement a Decision Support System (DSS) for analyzing and classifying data related to container loading. Data mining methods were used to ensure the system produces relevant and accurate recommendations for operational decisions.
The results show improved efficiency in warehouse operations, increased accuracy of shipment documentation, and reduced paper usage, aligning with ISO 14001 environmental management standards. The digitization process also enabled better traceability and faster decision-making.
The novelty of this system lies in the integration of DSS and data mining within a custom-built warehouse management platform tailored to PT Tata Metal Lestari’s workflow. It also contributes educational value by involving student interns in real-world software development. This system serves as a practical solution to enhance warehouse performance while supporting sustainability and digital transformation initiatives.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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