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All Journal Industrika : Jurnal Ilmiah Teknik Industri
Tengku Nurainun
Universitas Islam Negeri Sultan Syarif Kasim Riau
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

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Analisis Pengendalian Persediaan Kertas pada PT. JKL Menggunakan Metode Algoritma Wagner Within Chitra Meisya Putri; Tengku Nurainun; Misra Hartati; Nazaruddin Nazaruddin; Muhammad Nur
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/qeskpr49

Abstract

The intense competition in the printing industry demands companies to improve efficiency, particularly in managing raw material inventories. PT. JKL faces challenges in controlling paper inventory, including excessive stock reaching up to 32,000 kg per year and inefficient ordering and shipping costs due to mismatches between order quantity and truck capacity. These issues lead to increased costs and the risk of stockouts or overstocking. The purpose of this study is to identify the most efficient quantity and schedule for paper ordering while keeping overall inventory costs low using the WWA (Wagner Within Algorithm) method. A quantitative approach is employed, involving demand forecasting, WWA calculation, safety stock, and reorder point analysis. The results indicate that implementing the WWA method can reduce the number of orders from 24 to 12 annually and achieve inventory cost savings of Rp 375,368,025. Additionally, the company can maintain a safety stock level 3,411 kg and a reorder point set of 13,204 kg. Thus, the WWA method is effective in addressing PT. JKL’s inventory control problems and can be adopted as a strategic tool for operational efficiency. Keywords: Demand Forecasting, Inventory Control, Inventory Cost, Wagner Within Algorithm
Analysis of Product Inventory Control Using the Always Better Control (ABC) Method and Monte Carlo Simulation (Case Study: Bumdes Mart Bukit Intan Makmur Village) Putri Maya Sari; Tengku Nurainun; Harpito Harpito; Fitriyani Surayya Lubis; Muhammad Nur
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/3dgstd78

Abstract

Bumdes Mart is a supermarket in Bukit Intan Prosperous Village, Kunto Darussalam Regency, Rokan Hulu Regency, Riau Province. Supermarkets face great challenges in managing product inventory, with frequent shortages or excess inventory due to monthly sales fluctuations. Therefore, there is a need to categorize products and estimate future sales. This study aims to categorize the product groups sold by Bumdes Mart into groups A, B, and C. Then, Monte Carlo simulation is used to predict future product sales quantities, and the ROP method is used to determine the reorder point. ABC analysis, Monte Carlo simulation, and the reorder point (ROP) method are used to develop an effective inventory control strategy and solve the problem of Bumdes Mart in Bukit Intan Prosperous Village. The comes about appear that Course A items incorporate 8 item sorts. Through Monte Carlo recreation, we decided that the anticipated esteem of future deals information isn't much diverse from the real information of the previous year, and the full mistake of each reenactment is less than 5%. The ROP of each item is: 48 boxes, 53 pieces, 133 packs, 456 pieces, 32 boxes, 6 sacks, 32 boxes and 6 packs. Keywords: ABC analysis, Monte Carlo Simulation, ROP, Stock, Stock Control
Co-Authors Chitra Meisya Putri Fitriyani Surayya Lubis Harpito Harpito Misra Hartati Muhammad Nur Nazaruddin Nazaruddin Putri Maya Sari