Raw Material Inventory Research Articles

Analysis of Accounting Information System for Raw Material Inventory at PT. Smart Tbk. Padang Halaban

The Accounting Information System (AIS) is a vital component in providing financial and accounting data, along with information related to daily accounting transactions. This research focuses on evaluating the effectiveness of AIS using ERP-SAP in managing raw material inventory and supporting production efficiency at PT. Smart Tbk. Padang Halaban, a palm oil plantation company. The qualitative descriptive method was employed to gather data through literature review, interviews, and direct observations. The results of the study indicate that the implementation of AIS using ERP-SAP has improved the standard of financial reporting, meeting the required qualitative criteria. However, limitations exist in the AIS application, particularly regarding suboptimal raw material inventory tracking and integration issues between different systems, such as inventory and accounting systems, leading to data discrepancies. The conclusion drawn from this research highlights the necessity for adjustments, developments, and improvements in AIS features to meet the specific company requirements. The implications of these findings emphasize the importance of continuously optimizing AIS to support more efficient and accurate business processes, while adapting to technological advancements and company needs.

Optimization of Furniture Raw Material Inventory Using The Lagrange Multiplier Method

PT XYZ is a furniture company specializing in products made from wood and rattan. PT XYZ has suboptimal problems controlling raw material inventories, resulting in inventory cost overruns and warehouse overcapacity. This research aims to determine the optimization of the amount of furniture raw material in the inventory according to the available warehouse capacity using the Lagrange Multiplier method. From the research results, it was found that the total warehouse using the Lagrange Multiplier method was 107,922 m3, which shows that this value is optimal because it does not exceed the capacity of the warehouse owned by PT XYZ, which is 108 m3. By applying the Lagrange Multiplier method, it is possible to save total inventory costs of IDR 17.219.173 or 6.36% of the company's total inventory costs, with an order size of 37 m3 for mindi wood and 26 m3 for mahogany wood.

The Effect of Operational Audit and Internal Control on Raw Material Inventory Management

Economic developments in this era are in line with world developments which give rise to competition between companies and require company management to make the best decisions. The aim of this research is to analyze how much influence operational audits and internal control have on raw material inventory management. In this research, a quantitative method was applied where data was collected using a questionnaire, which was then processed using the SPSS data analysis tool. The research target was employees who worked at the house property company at PT Baritana Indah Persada Medan, with a total sample of 60 respondents. The data analysis methods applied in this research include descriptive statistics, classical assumption analysis, multiple linear regression, classical assumption analysis, hypothesis testing and coefficient of determination. The findings of this research reveal that there is a significant relationship between raw material inventory management and operational audits and internal controls to smooth the company's operations well.

Pengendalian Persediaan Bahan Baku Petis Udang dengan Menggunakan Metode Economic Order Quantity (Eoq) di Ud. Agung Jaya

Raw material inventory is very important for companies. UD. Agung Jaya is a company that operates in the food sector, namely Petis Udang. Problems at UD. Agung Jaya has raw material stock problems, namely a shortage or excess of raw materials. The aim of this research is to help optimize UD costs of UD. Agung Jaya. This research uses raw material purchase data for shrimp heads, sugar, and flour which is processed by forecasting calculations for 12 periods or 1 year into the future using the single exponential smoothing (SES) time series forecasting method. The aim is to determine the need for raw materials so that there are no shortages or excesses of raw materials during the ongoing production process, and the efficiency of raw material needs in this research. The results of the research show that the raw material for shrimp heads has a mape error value of 24, sugar has a mape error value of 24, and flour has a mape error value of 26.1. Furthermore, the raw material decomposition method for shrimp heads has a mape error value of 15, sugar has a mape error value of 15, and flour has a mape error value of 16.42. The second result of forecasting shows that the decomposition method obtains a smaller mape value or the lowest error value. This research also uses the Economic Order Quantity (EOQ) method in the 2022-2023 period with raw material yields of 515.28 kg of shrimp heads, 488.54 kg of sugar and 188.09 kg of flour.

Analisis Peramalan Persediaan Bahan Baku dan Penentuan Stok Penyangga (Buffer Stock) Udang Vaname (Littopenaeus Vannamei)

This study examines the analysis of raw material inventory forecasting and buffer stock of vaname shrimp at one of the fishery companies in Makassar Industrial Estate (PT Bogatama Marinusa Makassar). The analysis method used to determine the supply of raw materials needed by the company is the ARIMA Box-Jenkins method. This method is used to forecast raw material inventory on time series data. Determination of buffer stock is done using standard deviation and policy factors. Vaname shrimp (Littopenaeus vannamei) raw material data was obtained from 2020 to 2022 (156 weeks). The results showed that the highest amount of raw material inventory occurred in October week 147 in 2022, amounting to 152,792 tons, while the lowest amount of raw material inventory occurred in May week 122 in 2022, amounting to 13,102 tons. The best vaname shrimp raw material inventory model is the ARIMA (1,1,1) model which has a Sum Square Error (SSE) value of 1.70250, Mean Square Error (MSE) value of 0.0112007. This model is used to forecast raw material inventory for the next 48 weeks. The forecasting results show that there will be a decrease in week 1 to week 6 and a relative increase in raw materials in week 7 to week 48 with a MAPE value of 4.54%. The amount of buffer stock that must be owned by the company is 37.311 tons.

Reliability assessment of an industrial system considering failures in its raw material inventory

Reliability assessment of an industrial system considering failures in its raw material inventory

Optimalisasi Pengendalian Persediaan Bahan Baku Mie Menggunakan Metode Min-Max Stock untuk Meminimumkan Biaya Persediaan pada PT Dapur Boga Lestari

PT Dapur Boga Lestari is a company that produces noodles and is located in Sidoarjo, East Java Province. Flour and eggs are the primary ingredients in the noodles themselves. In meeting its requirements, the business frequently faces numerous obstacles. PT Dapur Boga Lestari lacks a distinct company-wide method for controlling these basic materials. Despite the fact that the company must control the inventory of raw materials for flour and eggs in order to prevent shortages and excesses of raw materials, which incur additional costs for the company, The results of the calculations indicate that the min-max stock method yields a lower total cost than the company method. In each period, the min-max stock method results in a 19% cost reduction for flour raw materials. In terms of egg primary materials, the company saved 29% from April 2023 to February 2024 and 25% from March 2024 to January 2025. This research provides information that assists businesses in identifying investments that will not benefit their production processes.

Pengendalian Persediaan Bahan Baku Untuk Lemari Tipe Sliding Door Glass (Studi Kasus di PT Alba Unggul Metal)

PT Alba Unggul Metal faced several operational problems in its production activities. In this study, the focus is on standard products owned by PT Alba Unggul Metal, especially SDG type cabinets, due to delays in delivery schedules caused by scarcity of raw materials, most are SDG type cabinets. The purpose of this study was to plan the raw material requirements for SDG type cabinets so that there is no scarcity of raw materials in the warehouse. The method used is the Economic Order Quantity method, the Period Order Quantity method and the Min-Max method. After analysis and discussion, it is known that the Economic Order Quantity method is the most optimal method compared to the Period Order Quantity method and the Min-Max method. Then the Company can better control inventory and delivery time of raw materials by using the EOQ method. As an example of the calculation for an SD SPCC plate measuring 0.7mm x 2440mm x 1220mm with an optimal order quantity of 512 pieces for one order, 157 safety stocks, reorder point when stock is 493 sheets, and order frequency 24 times a year. After implementation and data sampling for three months in April, May and June 2023 there was no shortage of raw materials which caused a delay in the delivery schedule for SDG type cabinets.Keywords : Inventory control, Economic Order Quantity, Period Order Quantity, Min-Max, Reorder Point, Safety Stock.

Analysis of Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method: Study of Simping MSMEs, Purwakarta Regency, Indonesia

Raw material inventory is an important aspect in managing small and medium enterprises (SMEs). Effective inventory control can help SMEs increase efficiency and profitability. This research aims to analyze raw material inventory control at Simping MSMEs in Purwakarta Regency, Indonesia, using the economic order quantity (EOQ) method. Data was collected through a survey of 30 Simping MSMEs. The research results show that the EOQ method can help Simping MSMEs in determining the optimal number of raw material orders and minimizing inventory costs. Implementing the EOQ method can result in average inventory cost savings of 15% compared to the method currently used.

ANALYSIS OF CONTROL FOR PRIMARY RAW MATERIAL INVENTORY USING EOQ, POQ, & LFL METHODS

Inventory is the goods that a company plans to own, acquired through purchase or production, with the aim of being marketed to consumers. Companies must be able to overcome challenges in controlling goods to achieve the desired target by minimizing the costs incurred and maximizing the profits obtained by the company. There are three methods that can be used to manage raw material inventory, namely EOQ, POQ, and LFL. This research aims to analyze, using the EOQ, POQ, and Lot For Lot methods, the possibility of supply chain resilience for a company operating in the short-lived perishable food industry. The results show that inventory cost savings for raw materials using the POQ method can achieve the largest savings of up to 6.78% compared to the company's current method. Savings in ordering costs with the EOQ method result in the highest savings, namely 88.68% compared to the company's current method. As for savings in storage costs, the method that was applied showed that the Lot For Lot (LFL) method is 0.6% more cost-effective compared to the company's current method, as well as the POQ and EOQ methods. The POQ method is identified as the one that minimizes raw material inventory costs, amounting to Rp 375,005,043.

Analisis Ketersediaan Kedelai Pada Koperasi Karya Mulya desa Sepande Kabupaten Sidoarjo

Karya Mulya Cooperative is a cooperative that provides soybean raw materials for tofu and tempeh craftspeople in Sepande Village, Sidoarjo Regency. This study aims to determine the optimal amount of soybean raw material inventory that should be carried out by Koperasi Karya Mulya, the optimal frequency of purchasing raw materials, the right time to purchase raw materials, the optimal total ordering cost made for the procurement of soybean raw materials, and the implementation of an effective and efficient warehouse management system. This type of research is descriptive quantitative by describing the control of raw material inventory carried out by cooperatives through data obtained and then analyzed. Data analysis used includes Economic Order Quantity (EOQ), Reorder Point (ROP), Safety Stock (SS), and FIFO methods. Based on the results of the analysis using the EOQ method, Koperasi Karya Mulya should order an optimal raw material frequency of 6,459.14 tons with a purchase frequency of 210 times, ROP 7.009,25 tons, Safety Stock of 5.857,81 tons and total storage costs of Rp427,272,734.03.

Analisis Rantai Pasok Ketersediaan Bahan Baku Produk Pertanian Jenis Beras dengan Metode Supply Chain Operations Reference

Supply chain management affects the availability, sufficiency, and quality of raw material inventory. With effective supply chain management, the inventory will always be well-maintained, meeting the needs and demands when required, especially at UD. Fajar Samudra. The purpose of this research is to understand the supply chain management regarding raw material inventory at UD. Fajar Samudra using a descriptive qualitative research method that addresses in more detail the specific and in-depth issues studied at UD. Fajar Samudra. In qualitative research, the population and sample are referred to as informants (company executives, warehouse managers, and the three largest suppliers at UD. Fajar Samudra). The research results indicate that the supply chain management at UD. Fajar Samudra shows that the supply chain management has not been able to meet the raw material inventory due to several issues in the field. These issues include inadequate procurement of raw materials due to the selection of rice types that do not match the requirements, damaged rice quality due to distribution processes, and unfulfilled quantity needs or demands, leading to dissatisfaction among consumers, as measured by the Supply Chain Operations Reference (SCOR) performance metrics. The advice that can be given to UD. Fajar Samudra is to make improvements by conducting forecasting based on historical sales data, engaging suppliers that implement management information systems, and implementing line balancing to enhance production strategies.

Tata Kelola Persediaan Bahan Baku Usaha Djamoe Van Java untuk Meningkatkan Efisiensi Pembuatan Jamu

Raw material inventory is unprocessed basic material provided by the company for later use in the company's production process. Raw materials are important in production companies. Limited or excess supplies of raw materials can be a problem for the company. A shortage of raw materials can result in problems with company activities, especially in the production process, while excess supplies of raw materials can lead to excessive costs in maintaining raw materials and the value of raw materials will decrease over time (Anista & Widiyastuti, 2016). The method used in this research is quantitative descriptive. According to Winartha (2006: 155), the quantitative descriptive method is analyzing, describing and summarizing various conditions and situations from various data in the form of numbers collected from the results of analysis and interviews or observations regarding the problems being studied that occur in the field. Based on the calculation results, the optimal quantity of raw material orders for the Djamoe Van Java business is 10 Kg. Based on the results of the research and discussion described previously, it can be concluded that to obtain optimal raw material inventory management for the Djamoe Van Java business, the quantity The economic purchase (EOQ) that the company must provide is 10 kg. The results of calculations that have been carried out in Total Inventory Cost (TIC) show that after implementing an appropriate and optimal inventory control system, the company can save costs of IDR 150,000. Companies should determine Reorder Points in carrying out raw material inventory control to anticipate possible delays in ordering raw materials.

ANALISIS PERANCANGAN USAHA PRODUK PEMILAH SAMPAH ORGANIK DAN ANORGANIK MODERN

In designing product design, the purpose of making modern waste bins for organic and non-organic sorting is to overcome waste management problems in Indonesia. By looking at these problems, we strive to create innovations so that people can understand a good way to manage waste. The product to be developed is a trash can with an automatic sorting sensor system, allowing the selection of waste one by one. by using the Economic Order Quantity method aims to assist companies in overcoming the problem of controlling raw material inventory Economic Order Quantity. Research shows that the manufacture of modern trash cans involves several steps, such as attention to product images, quality, size, and durability. Another strategy involves determining prices after market research to find prices that match consumer needs and wants. From these calculations, the production of modern trash cans can be considered feasible and beneficial to society, can help reduce littering and minimize piles of garbage. This modern waste separator product is expected to provide great benefits to the community and become a valuable learning.

Prediction of Bread Raw Material Stock At Al-Fattah Bakery and Cake Aek Teluk Kiri using SMA method

AL- Fattah Bakery and Cake is a company engaged in the production and sale of pastries. In managing raw material inventory, you must ensure sufficient inventory for sales, minimizing the time and costs required. Inventory control is an effort carried out by a company to optimize sales and seek as little risk as possible. The problem faced by AL- Fattah Bakery and Cake for each branch in Asahan Regency is the difficulty in determining the amount of raw material inventory that must be produced in the following month in order to continue to meet customer demand and not cause accumulation over a long period of time and maintain the stability of raw material stock. . Because if there is a buildup of stock, it could result in the product expiring and failing to be distributed to customers. This is caused by customer demand which changes every month following existing trends. The aim of this research is to predict raw material supplies using the SMA (Single Moving Average) method at AL- Fattah Bakery and Cake for each branch in Asahan Regency. Based on the results of the research that has been carried out, the Single Moving Average (SMA) method can help AL- Fattah Bakery and Cake Aek Teluk Kiri with the Single Moving Average Method in predicting the supply of bread raw materials for the following month.

Analysis of Raw Material Inventory Control Using the Eoq (Economic Order Quantity) Method in the "Sangrai R.O" Crackers Home Industry in Tegalwaru

This research is head to exam raw materials control analysis at “SANGRAI R.O” Home Industry. The result of this research are using descriptive kuatitative method, the result form of numbers from of calculation that have been impelemted and compared with company”s calculation, the sample for this research got by doing interview, observation, and company’s file documentation. The result of this research reveals optimal raw materials by using EOQ (Economic Order Quantity) method with some calculations, that concern to ordering frequency, reoder quantity, economic order quantity, and total inventory cost, calculation with EOQ method help the company to save their cost with 2:15 compared to their konvesional policy

The Analysis of Raw Material Control using the Economic Order of Quantity (EOQ) Method in Teng-teng Mulyati Home Industry

Introduction/Main Objectives: The purpose of this study was to analyze raw material inventory control with Economic Order Quantity (EOQ) method for helping the company to control the inventory of raw material by looking for how much raw material the rice must be ordered so that the company does not experience shortages and advantages in its raw materials, so the inventory in the company is optimal. Finding/Results: The result showed that Economic Order Quantity (EOQ) is the appreciate and can optimize the supply of special vehicle raw material in home industry Teng-teng Mulyati compared with the existing policies in the company, using the Economic Order Quantity (EOQ) method the order quantity becomes 682 kg with 1 time the order frequency, Safety Stock 679,98 kg, Reorder Point 718,61 kg, Maximum Inventory 1.361,98 kg, so the Total Inventory Cost is Rp. 174.539,39. Conclusion: This method can be a company reference in controlling the inventory of raw material and by using this method the company obtains cost savings between calculations based on company policy and the Economic Order Quantity (EOQ) method.

Minimasi Biaya Persediaan Ikan Kakap Merah PT. MMU Metode Economic Order Quantity (EOQ)

PT. MMU is an industry engaged in processing marine fish. The aim of this research is to minimize the cost of snapper supplies so that the production process becomes more efficient. The analysis begins with data on demand for red snapper in 2023. The movement of recorded demand shows fairly stable fluctuations, although there are some significant declines in certain months, data on ordering costs and storage costs, including raw material prices, ordering frequency, costs forklift, and ice cube costs, have been obtained to account for the total cost of raw material inventory. Data on fish demand, ordering costs, storage costs, and inventory factors were analyzed, resulting in an optimal order quantity of 298.98 kg per order with an order frequency of 6 times a year. Cost analysis shows potential savings of Rp. 3,078,677.43, safety stock of 127 kg and re order point of 42 kg. This research provides insight into the efficiency of inventory management at PT. MMU and its important implications for stock control in the fishing industry

Perencanaan Persediaan Packaging dengan Menggunakan Analisis Always Better Control (ABC) dan Metode Min-Max Pada PT. TR

This research aims to update min-max stock and focus on which items need extra supervision using ABC analysis at PT TR. This data collection technique uses observations and statistical data sets. Data collection methods such as direct observation of work areas aim to collect actual data needed for this research. The statistical data set was obtained from the PPIC department. The data source in this research is secondary data, where the data was obtained from data collectors indirectly with the PPIC department. The results of this research indicate that the standards for determining and managing raw material inventories are in accordance with the standards set by the company. The researcher concluded that by using min-max, PT TR can obtain alternative minimum and maximum limit orders according to the budget requirements spent in ordering raw materials, but there are still weaknesses in packaging inventory management activities. Companies such as PT TR must focus more on Products included in group A for the packaging procurement process because this group has a large percentage of monetary value and requires extra supervision. Keywords: ABC Analysis, Inventory, Min-Max Stock, Warehouse

Analysis Of Raw Material Supply In The Mak Sulis Business In Bengkulu City

Considering the importance of raw material inventory in business operations, a company needs to manage raw materials in a controlled manner. The main raw material used is wheat flour. In the production of bread, wheat flour is the main raw material which must always be available for the smooth production process, therefore it is necessary to carry out appropriate control and planning in the supply of the raw material for this flour. Therefore, the researcher is interested in conducting research with the title "Analysis of Raw Material Inventory in the Mak Sulis Donut Business, Bengkulu City Using the Economic Order Quantity (EOQ) Method". To collect the required data, the following data collection techniques were used: interviews, observation and documentation techniques. Data from observations from analysis of raw material supplies at the Mak Sulis Donut Business in Bengkulu City were analyzed using the Economic Order Quantity (EOQ). The results of the analysis show that to meet the raw material requirements of 10,450 kg during January 2022 to December 2022, the amount of raw material purchases of wheat flour that must be made by the Mak Sulis Donut Business in Bengkulu City so that storage costs can be kept to a minimum is 320 kg. each purchase with a purchase frequency of 33 times during one period (year). The purchase of raw materials for wheat flour must be carried out by the Mak Sulis Donut Business, Bengkulu City. Reorders should be made when inventory is 369 kg in the warehouse, with a lead time of 7 days so as not to hamper the company's production process.