Irsyadi, Muhammad Rohman (2026) OPTIMIZATION SYSTEM FOR PRODUCT DISTRIBUTION PRIORITIZATION USING SAW METHOD AND HOLT-WINTERS EXPONENTIAL SMOOTHING FORECASTING (CASE STUDY : CV. CITRA NALAR TEKNOLOGI). Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Distribution of goods is a crucial process in the supply chain that requires fast, accurate, and data-driven decision making. CV. Citra Nalar Teknologi still manually prioritizes distribution without considering demand predictions, potentially leading to inefficiencies. This study aims to design and build a web-based distribution priority optimization system by integrating the Holt-Winters Exponential Smoothing (HWES) method for demand forecasting and the Simple Additive Weighting (SAW) method for distribution priority determination. The HWES method is used to predict demand based on historical data that has seasonal patterns and trends, while the SAW method is used to rank distribution priorities based on forecasting criteria, distance, customer priority, and stock availability. The system was developed using the Laravel framework and MySQL database. The results show that the HWES method is able to produce predictions with a very good level of accuracy, indicated by an average Mean Absolute Percentage Error (MAPE) of less than 10%. The SAW method successfully provides objective and structured distribution priority recommendations. Furthermore, the usability test using the System Usability Scale (SUS) yielded a score of 78, which is considered good/acceptable. Therefore, the developed system is capable of improving the effectiveness and efficiency of data-driven distribution decision-making.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA76.6 Computer Programming | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
| Depositing User: | Muhammad Rohman Irsyadi | ||||||||||||
| Date Deposited: | 18 May 2026 06:59 | ||||||||||||
| Last Modified: | 18 May 2026 06:59 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/51871 |
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