DOI: https://doi.org/10.14710/vol15iss4pp473-479

Implementation of a Raw Material Inventory Control Information System Using the Continuous Review System Method at Naf’a Bakery

*Tanhella Zein Vitadiar orcid scopus  -  Sistem Informasi, Fakultas Teknologi Informasi, Universitas Hasyim Asy'ari, Indonesia
I Gusti Lanang Putra Eka Prismana  -  Pendidikan Teknologi Informasi, Fakultas Teknik, Universitas Negeri Surabaya, Surabaya, Indonesia
Ginanjar Setyo Permadi orcid scopus publons  -  Teknik Informatika, Fakultas Teknologi Informasi, Universitas Hasyim Asy'ari, Indonesia
Open Access Copyright (c) 2026 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract

Effective inventory management is crucial in manufacturing industries to ensure smooth production and minimize operational costs. This study aims to design and implement an inventory control system based on the Continuous Review System (CRS) method at Naf’a Bakery, a small business located in Desa Canggu, Kediri. The implementation of CRS is expected to optimize raw material inventory, reduce storage costs, and avoid the risks of stockouts or overstocks. The methods used include observation, interviews, and demand data analysis to calculate the reorder point (ROP), optimal order quantity (EOQ), and safety stock. The results show that the implementation of CRS can reduce storage costs by approximately 30% and ordering costs by about 25%, while improving operational efficiency compared to the previous manual system. The CRS-based information system allows Naf’a Bakery to monitor inventory in real-time, ensuring that raw materials are always available at optimal levels and providing flexibility to adapt to demand fluctuations. Thus, this system not only enhances inventory management accuracy but also reduces waste and improves profitability. This study provides significant contributions to the development of more efficient inventory control systems for small and medium enterprises.

Fulltext View|Download Email colleagues
Keywords: Inventory Control; Continuous Review System; Naf’a Bakery; Operational Efficiency; Storage Costs

Article Metrics:

Article Info
Section: Research Articles
Language : EN
Most cited articles
Penerapan Metode AHP dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Promosi Jabatan Penerapan Metode Hill Climbing Pada Sistem Informasi Geografis Untuk Mencari Lintasan Terpendek Metode Quality Function Deployment Dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Pemilihan Perusahaan Penyedia Jasa Internet Review: Implementasi Holap Untuk Optimasi Query Sistem Basis Data Terdistribusi Dengan Pendekatan Algoritma Genetik Aplikasi Penentuan Tarif Listrik Menggunakan Metode Fuzzy Sugeno More cited articles
  1. Akram, M. A., Khan, S. A., & Usman, M. (2023). Optimization of Inventory Management Systems in Small and Medium Enterprises: A Review. International Journal of Operations & Production Management, 44(5), 80–95. https://doi.org/10.1108/IJOPM-10-2022-0843
  2. Borja-Gonzales, A. A., & Perez-Soto, A. B. (2024). Stockout reduction using forecasting methods, the EOQ model and a safety stock in a Peruvian SME in the commercial sector. In Industrial Management. Springer. https://link.springer.com/chapter/10.1007/978-3-031-56373-7_6
  3. Gonzalez, C. B., Jurado, L. B., Caviedes, V. R., & Emavi. (2023). Technological tools for inventory control in Fac Stores. In Springer. https://link.springer.com/chapter/10.1007/978-3-031-45316-8_35
  4. Hansen, Z. N. L., Andreu, C. M., Khan, O., & Haug, A. (2023). Identification of key drivers for improving inventory management in pharmaceutical supply chains. Production. https://pmc.ncbi.nlm.nih.gov/articles/PMC10091338/pdf/11740_2023_Article_1199.pdf
  5. Heizer, J., & Render, B. (2021). Operations Management: Sustainability and Supply Chain Management (13th ed.). Pearson Education
  6. Jafari, A., & Abbasian, R. (2021). Designing and Implementing a Real-Time Inventory Management System Using IoT and Machine Learning. Journal of Computer Applications, 45(2), 56–70. https://doi.org/10.1234/jca.2021.049
  7. Jankovic, E., & Tucu, D. (2025). Innovation in logistics management: Systems adapted to SMEs. In Springer. https://link.springer.com/chapter/10.1007/978-3-031-97709-1_14
  8. Kim, J., & others. (2023). Hybrid recommendation systems: Combining content-based and collaborative filtering. Journal of Information Retrieval, 26(2), 234–251
  9. Kurniawan, S., Saragih, M. H., & Angelina, V. (2022). Inventory Control Analysis with Continuous Review System and Periodic Review System Methods at PT XYZ
  10. Madamidola, O. A., Daramola, O. A., Akintola, K. G., & Adeboje, O. T. (2024). A Review of Existing Inventory Management Systems. International Journal of Research in Engineering and Science, 12(9), 40–50
  11. Nahmias, S. (2021). Production and Operations Analysis (8th ed.). Pearson Education
  12. Novrianti, C., & Harahap, I. (2026). Analysis Of Raw Material Inventory Control Using The Economic Order Quantity (EOQ) Method To Avoid Overstock In The Kotin Tempe Home Industry. Al-Kharaj: Journal of Islamic Economics. http://ejournal.iainpalopo.ac.id/index.php/alkharaj/article/download/9337/5693
  13. Nurjanah, S., Sinta, S. P. L., & Barlian, B. (2023). Analysis of Raw Materials Inventory Control Using Economic Order Quantity (EOQ) (Case Study of Synthetic Leather Raw Materials at Borselly). Jurnal Ekonomi, Manajemen & Bisnis. https://www.academia.edu/download/105265022/1637.pdf
  14. O’Brien, J. A., & Marakas, G. M. (2022). Management Information Systems (12th ed.). McGraw-Hill Education
  15. Okokpujie, I. P., & Tartibu, L. K. (2025). Study of the economic viability of Internet of Things (IoTs) in additive and advanced manufacturing: A comprehensive review. Springer. https://link.springer.com/article/10.1007/s40964-024-00822-7
  16. Panigrahi, R. R., Shrivastava, A. K., & Kapur, P. K. (2024). Impact of inventory management practices on the operational performances of SMEs: review and future research directions. Engineering and Management. https://link.springer.com/article/10.1007/s13198-023-02216-4
  17. Permadi, G. S., Vitadiar, T. Z., & Kistofer, T. (2019). Sistem Evaluasi Bahan Pembelajaran Menggunakan Metode DEMATEL dan ANP. JURNAL SISTEM INFORMASI BISNIS. https://doi.org/10.21456/vol9iss2pp228-235
  18. Permadi, G. S., Vitadiar, T. Z., Kistofer, T., & Mujianto, A. H. (2019). The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Learning Material Evaluation System. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/201912523011
  19. Pradinain, R. F., Ernawati, D., & Dewi, S. (2025). Optimizing Raw Material Inventory Control with ABC and Min-Max Methods: Optimasi Pengendalian Persediaan Bahan Baku dengan Metode ABC dan Min-Max. Journal of Innovation Studies. https://ijins.umsida.ac.id/index.php/ijins/article/download/1648/1980
  20. Prawira, N. Y., Mufarrihah, I., Mujianto, A. H., & Permadi, G. S. (2025). OPTIMALISASI PEMILIHAN CALON PENERIMA BANTUAN BEASISWA PIP DENGAN MENGGUNAKAN METODE TOPSIS (Studi Kasus : SD Negeri Plemahan 2, Kec. Sumobito). Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi, 9(2), 209–216. https://doi.org/10.33752/inovate.v9i2.8906
  21. Rahayu, P., & Zain, R. (2021). Optimizing Inventory Management with Continuous Review System at Small and Medium Enterprises: A Case Study in Indonesia. Journal of Supply Chain Management, 27(2), 34–47. https://doi.org/10.1234/jscm.v27i2.568
  22. Ramsi, A., & Amin, M. (2022). Effective Inventory Control Strategies for Manufacturing Companies. International Journal of Business and Management, 20(11), 75–90. https://doi.org/10.1111/jbm.12578
  23. Rathore, S. P. S., Kaushik, P., & Rathore, R. (2023). Predictive analytics for inventory management in multi-vendor e-commerce. In Springer. https://link.springer.com/chapter/10.1007/978-3-031-80778-7_10
  24. Rudyanto, R., & Hidayat, D. (2023). The Impact of Inventory Management on the Financial Performance of SMEs in Indonesia. Journal of Applied Economics and Business, 8(3), 102–115. https://doi.org/10.2317/jaeb.2023.036
  25. Sabiq, A. H. (2025). Optimizing Inventory Management To Address Delivery Delays And Cost Inefficiencies: A Case Study Of PT Genta Trikarya. Paradoks: Jurnal Ilmu Ekonomi. https://jurnal.feb-umi.id/index.php/PARADOKS/article/download/1116/808
  26. Sharma, N., Gupta, R., & Prasad, S. (2023). Continuous Review and Replenishment Systems for Efficient Inventory Management: A Case Study in Manufacturing. Journal of Business Research, 88(4), 77–90. https://doi.org/10.1016/j.jbusres.2023.03.018
  27. Shubaili, J., Almefarji, S., & Bakhashwain, N. (2026). Implementing lean warehouse management: A case study at a spare parts warehouse. Springer. https://link.springer.com/article/10.1007/s13198-026-03219-7
  28. Sridarta, Y. M., & Kristantiningtyas, D. (2025). Inventory management model for batik entrepreneurs in Laweyan Batik Village based on web technology. Jurnal Ilmiah. https://jurnal.ibik.ac.id/index.php/jimkes/article/download/3100/2314
  29. Sukosyah, A. W., Koestiono, D., Dewi, H. E., & Rusli, K. N. (2023). Analysis of coffee raw material inventory control using the EOQ (Economic Order Quantity) method in SME Sido Luhur. Habitat. https://habitat.ub.ac.id/index.php/habitat/article/download/3561/430
  30. Wang, Y., & others. (2023). Enhancing recommendation accuracy with context-aware collaborative filtering. Journal of Recommender Systems, 1(1), 78–95
  31. Yoes, S. R., & Harahap, I. (2025). The Effect of Technology Management and Raw Material Inventory Management on Production Efficiency at CV Nilani Global Sumatera. Journal of Community Engagement and Practice. https://www.journal.payungi.org/index.php/ijcep/article/download/109/81
  32. Zhang, Y., & Liu, X. (2021). Impact of Efficient Inventory Management on Business Performance: A Global Perspective. International Journal of Operations & Production Management, 41(9), 51–69. https://doi.org/10.1108/IJOPM-03-2021-0223

Last update:

No citation recorded.

Last update: 2026-05-14 19:09:18

No citation recorded.