THE INFLUENCE OF DEMAND PLANNING, ORDERING STRATEGY, AND INFORMATION SYSTEMS ON THE EFFECTIVENESS OF INVENTORY CONTROL AT PT ERICO INDONESIA
DOI:
https://doi.org/10.32477/semnas.v4i1.1290Keywords:
Demand Planning, Ordering Strategy, Information System, Inventory Control.Abstract
Inventory management in the processed food distribution industry—characterized by limited shelf life—requires accurate demand planning, an effective ordering strategy, and an integrated information system to ensure product availability while preventing resource inefficiency. This study analyzes the influence of these three factors on inventory control effectiveness at PT Erico Indonesia and tests a conceptual model that integrates demand planning, ordering strategies, and information systems. The findings are expected to be generalizable to similar distribution environments managing perishable products with strict shelf-life policies. The company faces recurring issues of overstock and stockout, resulting in increased storage costs and decreased sales potential. This research uses an explanatory quantitative approach with confirmatory characteristics, employing Partial Least Squares–Structural Equation Modeling (PLS-SEM) via SmartPLS. The population consists of employees involved in demand planning, ordering, information system management, and inventory control. Using purposive sampling, 65 respondents were included. Results indicate that the information system has a positive and significant effect on inventory control effectiveness, while demand planning and ordering strategy show positive but insignificant effects. The study also demonstrates that these three variables simultaneously contribute to explaining the variation in inventory control effectiveness. These findings highlight the importance of a reliable and integrated logistics information system to improve data accuracy, accelerate stock information access, and support responsive decision-making in managing products with limited shelf life.
References
Alvina. (2025). Strategi pemesanan berbasis kebutuhan aktual untuk efisiensi pengendalian persediaan. Jurnal Manajemen Logistik, 14(2), 112–123.
Bourgeois, D., Mortati, J., & Wang, D. (2019). Information systems for business and beyond (2nd ed.). Washington: Saylor Academy. https://saylordotorg.github.io/text_information-systems-for-business-and-beyond-v2.0/
Chandra, R., Sari, D., & Nugroho, A. (2025). Strategi pemesanan dalam rantai pasok untuk menghadapi fluktuasi permintaan. Jurnal Teknologi dan Bisnis, 9(1), 55–68.
Dedi, H., Rahman, F., & Saputra, A. (2019). Analisis keterlambatan informasi dalam sistem persediaan manual. Jurnal Sistem Informasi Indonesia, 4(3), 145–152. https://doi.org/10.54088/jsii.v4i3.212
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Los Angeles: SAGE. https://doi.org/10.1007/978-3-030-80519-7
Hasnita. (2021). Modul praktik partial least square. Palangkaraya: IAIN Palangkaraya.
Ihsan, R., & Suparno. (2025). Tantangan strategi pemesanan berbasis kebutuhan aktual. Jurnal Rekayasa Industri, 17(1), 88–97.
Kasar, Y., Smith, R., & Lee, J. (2025). Inventory management in perishable food supply chains. International Journal of Supply Chain Management, 12(4), 233–245.
Li, X., Zhao, L., & Wang, Y. (2022). Demand planning for intermittent demand patterns. Journal of Operations Management, 68(3), 145–160. https://doi.org/10.1016/j.jom.2021.11.002
Mohammadi, M., Farahani, R. Z., & Rezapour, S. (2022). Integrated information systems in inventory control: A strategic perspective. Computers & Industrial Engineering, 165, 107983. https://doi.org/10.1016/j.cie.2021.107983
Monica, V., & Setiawan, B. (2019). Keterbatasan MRP dalam menghadapi perubahan cepat kebutuhan konsumen. Jurnal Teknologi Industri, 15(2), 74–82.
Mulyati, E., Maniah, M., Krisnawati, K., & Permadi, D. (2025). Peningkatan kompetensi guru dalam sistem informasi logistik melalui pendekatan model pedagogis COMP-LETE. Abdimas Galuh, 7(1), 926–934.
Munyaka, C., & Yadavalli, V. S. S. (2022). Effectiveness of inventory control in supply chains. Journal of Applied Management Science, 6(1), 21–33.
Pertiwi, R., & Imaroh, S. (2024). Perencanaan permintaan untuk mengurangi risiko overstock dan stockout. Jurnal Logistik dan Supply Chain, 10(2), 55–66.
Pratama, A., Wibowo, H., & Santoso, E. (2020). Demand planning berbasis data historis dalam pengendalian persediaan. Jurnal Sistem Industri, 16(1), 12–23. https://doi.org/10.32734/jsi.v16i1.1020
Ranatunga, D., Lee, K., & Kim, J. (2020). Application of PLS-SEM in complex models. Asia-Pacific Journal of Business Administration, 12(3), 287–303. https://doi.org/10.1108/APJBA-02-2020-0054
Sari, M., Putra, A., & Nugraha, T. (2023). Metodologi penelitian kuantitatif eksplanatori. Jurnal Metode Penelitian Sosial, 5(2), 77–90.
Seftyananta, Y., Putri, W., & Andriani, D. (2024). Tantangan implementasi sistem informasi persediaan di perusahaan distribusi. Jurnal Teknologi Informasi dan Bisnis, 13(1), 101–114.
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta.
Swasono, A., & Prastowo, D. (2021). Pengaruh sistem informasi inventori berbasis web terhadap efektivitas pengendalian stok. Jurnal Sistem Informasi, 17(4), 455–466. https://doi.org/10.36706/jis.v17i4.1256
Tadayonrad, F., & Ndiaye, M. (2023). Demand planning process for optimized supply chain management. International Journal of Production Research, 61(5), 1523–1541. https://doi.org/10.1080/00207543.2022.2140263
