Bayu Caesar Taufik Hidayatullah, . (2026) INTEGRASI METODE PERAMALAN DAN MIN-MAX STOK DALAM PERENCANAAN PERSEDIAAN PRODUK HOME CARE DI PT XYZ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The Fast Moving Consumer Goods (FMCG) industry is characterized by dynamic and fluctuating demand patterns, requiring accurate forecasting and inventory planning systems to support operational efficiency. PT XYZ, an FMCG manufac-turing company in the home care product category, continues to experience mis-matches between inventory levels and market demand, which may lead to overstock conditions and the risk of dead stock. This study aims to integrate machine learn-ing-based sales forecasting methods with the Min–Max Stock approach for invento-ry planning of home care products at PT XYZ. The forecasting methods employed include Random Forest Regression (RFR), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost), utilizing multivariate historical sales data from February to July 2025. Each model underwent hyperparameter tuning and was evaluated using MAE, RMSE, and R² performance metrics. The results indi-cate that the SVR model achieved the best performance, with an MAE of 5.5926, an RMSE of 7.2635, and an R² value of 0.6200. The forecasts generated by the best-performing model were subsequently used to determine safety stock, reorder point, and minimum–maximum inventory levels using the Min–Max Stock method, there-by providing more optimal inventory planning recommendations and reducing the risks of both excess and insufficient stock.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No. Panggil; 2110312027] [Pembimbing; Muhamad As'Adi] [Penguji 1; Siti Rohana Nasution] [Penguji 2; Donny Montreano] |
| Uncontrolled Keywords: | Sales Forecasting, Support Vector Regression, Machine learning, Min- Max Stock, Home Care Products |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures |
| Divisions: | Fakultas Teknik > Program Studi Teknik Industri (S1) |
| Depositing User: | BAYU CAESAR TAUFIK HIDAYATULLAH |
| Date Deposited: | 30 Jan 2026 08:33 |
| Last Modified: | 30 Jan 2026 08:42 |
| URI: | http://repository.upnvj.ac.id/id/eprint/42102 |
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