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Implementasi Weighted Moving Average dalam Sistem Informasi Peramalan Stok Material Finishing di Industri Mebel Wahyu Furniture A. Faiq Abror; Sofia Ulfah
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 1 (2025): Maret-Juni : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i1.1274

Abstract

This research develops a Finishing Material Stock Forecasting Information System using the Weighted Moving Average (WMA) method to address inventory management challenges at Wahyu Furniture Industry. The current production process, particularly in the finishing stage, faces difficulties in material prediction due to manual Excel-based recording without proper forecasting tools, potentially causing material ordering inaccuracies. Adopting the Rapid Application Development (RAD) approach, the website and MySQL database-based system was developed through three iterative phases: requirements planning, system design, and implementation. Analysis of 100 historical data points over Year 2024 revealed highest accuracy (MAPE 16.705%) at n=5 parameter. Validation by 5 respondents demonstrated 76.5% feasibility score, proving the system's effectiveness in optimizing finishing material stock and resolving surplus/shortage problems.
Pengembangan Sistem Informasi Prediksi Output Produksi dengan Metode Single Moving Average di Industri Mebel Jepara Sofia Ulfah; A. Faiq Abror
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 1 (2025): Maret-Juni : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i1.1275

Abstract

This research develops a production output prediction information system in the Jepara Furniture Industry based on not optimal production so that production planning is needed to minimize overruns in the financing process and increase production efficiency. This system is developed using the software development method with a waterfall model and implements the Single Moving Average (SMA) method in the calculation process of predicting production output. At the Requirement stage, using observation and interview techniques. The Design stage produces an Entity Relationship Diagram (ERD) design, use case disgram. The Implementation stage is the process of developing a system using the PHP programming language and the Laravel framework while implementing design, coding, and the Single Moving Average (SMA) method in the process of calculating production output predictions. At this stage, simulations are carried out with Desert Round Table data in the span of 2024 and the results of the March moving average calculation and April prediction are 82.67. The Testing stage uses blackbox testing related to functionality and feasibility testing using questionnaires with user-friendliness indicators. The results of the feasibility of the system obtained a feasibility rate of 80%. The Maintenance stage is carried out in the system development process obtained from suggestions on the testing process.