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All Journal Journal of Business and Management The Asian Journal of Technology Management (AJTM) Journal of Innovation, Business and Entrepreneurship Journal of Research in Social Science and Humanities Eduvest - Journal of Universal Studies
Farmaciawaty, Desy Anisya
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ABC Classification Analysis to Overcome the Overstock Problem at PT. Nutricia Indonesia Sejahtera Saraswati, Anggita; Farmaciawaty, Desy Anisya
Journal of Business and Management Vol 5, No 5 (2016)
Publisher : Journal of Business and Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.82 KB)

Abstract

Abstract.The research is done based on the PT. Nutricia Indonesia Sejahtera, a company that produces a formula milk located in Ciracas, Jakarta Timur. Nowdays, formula milk has become a complementary nutrition in the community and even as a substitute for ASI (Air Susu Ibu). PT. Nutricia Indonesia Sejahtera produces milk that is not only for the baby but also pregnant women and toddler. Since we know that the formula milk is really needed for all people, knowing the amount of inventory level is a must for company. The company experienced some problems related to the inventory management. This research will be analyse about the stock policy in the PT. Nutricia Indonesia Sejahtera. The company has a problem with an overstock problem for the raw material in the inventory. The objectives of this research is overcome the overstock problem in the warehouse and minimize the cost production in order to provide solutions to the company issues. In this research the author focus on the local and import raw material data products, the methods that will be used in this research is using Cycle Counting and ABC Classification Analysis. In the other hand, this research also provide the comparison between company and author calculation in order to compare which methods that gives advantages to the company.  The calculation for this research will involve Safety Stock, Re-order Point, Economic order quantity, Average Inventory Level in Rupiah and ABC Classification Analysis. In the ABC Classification analysis, the author also provide how to maintain the product by each classification.Analysis will give an advantages for the company such as overcome the overstock problem in the inventory and minimize the cost that have to be spend in one month. The author calculation and analysis is for import and local product. After calculate the data using Cycle Counting method, the author also calculate the ABC Classification Analysis to separate which product that is need more attention and maintenance. Knowing each classification by using ABC Classification will also reduce the cost that have to spend in one month, because the company will know which the product that has an expensive cost and lower cost, the author also provide how to keep the quality of each raw material based on their classification.Keywords : PT. Nutricia Indonesia Sejahtera, Overstock, Inventory, Economic Order Quantity.
Location selection for small medium enterprise using analytic hierarchy process and factor rating method: study of koer-koer chicken company Fadani, Ahyan; Farmaciawaty, Desy Anisya
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

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Abstract. To achieve success, a culinary company needs to perform a proper planning for their business,especially deciding its store location. However, many small culinary companies often overlooked the analysis of location selection and use their business instinct to choose nearest-cheapest-available location for their company. Though, poor location decision can decrease companies’ profitability. Koerkoer chicken company is a newborn company planning to expand its business by opening its first branch. To prevent problem caused by poor location selection, the owner—which also author of this research— plans to perform a proper location selection analysis. The objective of this research is to find the best store location for Koer-koer chicken company. This research identified key factors for selecting a store location by conducting literature review and holding interview with small business owners who already expand their business and having number of branches. Those factors will be weighted by Analytic Hierarchy Process using a software called Expert Choice. The last part is giving the score of each factor for each alternative option. Of two alternative options, the result of this research showed that location B which located on Jalan Haji Miran, Kukusan, Beji, Depok as the best location for Koer-koer chicken company.Keywords: Analytic Hierarchy Process, Decision Making, Factor Rating Method, Location Selection, Small Medium Enterprise 
Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol. 13 No. 3 (2020)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
OPTIMIZING INVENTORY MANAGEMENT USING THE EOQ MODEL: CASE STUDY IN ONE OF THE BANKS IN INDONESIA Tamaputra, Reza Satria; Farmaciawaty, Desy Anisya
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.230

Abstract

Efficient inventory management is essential for maintaining operational excellence, particularly in the banking sector, where stock imbalances can disrupt workflows and impact service quality. This study examines inventory practices in of the Indonesia banking sector focusing on challenges like overstock and understock. Using the Economic Order Quantity (EOQ) model, the research determines optimal order quantities, safety stock, and reorder points for selected items. Analysis reveals that 27% of items were overstocked, incurring high holding costs, while understock situations disrupted operations. Root Cause Analysis (RCA) identified issues such as inefficient procurement processes and limited warehouse capacity. Recommendations include automation of inventory systems, improved procurement strategies, and optimized stock levels to enhance operational efficiency. These solutions contribute to reducing costs, improving service quality, and ensuring seamless operations.
Strategic Safety Stock Level For High Import Dependence Manufacturing Supply Chain For Enhanced Force Majeure Preparedness Kim, Dong Eon; Farmaciawaty, Desy Anisya; Nizar, Adirizal
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.51630

Abstract

This study aims to determine the appropriate safety stock levels to enhance PT. Sukses Pharmapack’s preparedness for force majeure events and ensure operational continuity. By analyzing demand patterns over a five-year period, the research evaluates the effectiveness of safety stock in mitigating supply chain disruptions through scenario-based simulations. A mixed-method approach is applied, combining qualitative insights from key stakeholders with quantitative analysis of demand and lead time data. Statistical techniques such as mean, standard deviation, Z-score, and coefficient of variation are used to assess demand and lead time variability, while the Economic Order Quantity (EOQ) model with probability is employed to calculate optimal order quantities and safety stock levels. The findings indicate that a 30% increase in both demand and lead time results in the highest safety stock levels, improving service levels but raising inventory holding costs. Conversely, lower demand and shorter lead times reduce safety stock requirements but increase the risk of stockouts. The study is limited to a single product and supplier, which may restrict generalizability. Future research should explore multiple products and dynamic market conditions, implementing adaptive inventory policies with real-time demand monitoring.
Strategy Alternatives to Increase Capacity: Case Study in PT Turmerica, an Herbal Extract Manufacturer Arif, Haikal Sofyan; Farmaciawaty, Desy Anisya
Eduvest - Journal of Universal Studies Vol. 5 No. 11 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i11.52323

Abstract

The increased global demand of herbal extracts has made PT Turmerica need to re-evaluate its current output capacity. This study aimed to evaluate the most feasible and profitable business solution to solve production capacity gap and meet  the market demand through a combination of technical and financial analyses. Using the TELOS framework and Decision Tree Analysis, three strategic alternatives have been evaluated for consideration: A1 is to invest in a new concentrator machine; A2 is outsourcing; and A3 is extending working hours. From production data from 2023-2025 and expected market growth rates, it can be seen that the current production capacity of 161,915 kg/year is insufficient to meet future demand; the gap to be bridged is estimated as exceeding 17% by 2027. The analysis found that the extractor machine was the main bottleneck in the extraction line, lowering throughput and increasing cleaning and maintenance time. A1 (investment in a new concentrator machine) is the most beneficial alternative, improving capacity by 35.1% as it speeds up extraction concentration, makes extract thickening unnecessary for the extractor, and prevents blockages. In contrast, both A2 (outsourcing) and A3 (additional working hours), have only raised capacity by 8.6% and 24.6% respectively with much higher operational risks and weaker long-term sustainability. Based on TELOS results, A1 offers the most feasible and profitable option based on decision tree analysis which produce higher cash flow.
Co-Authors Adirizal Nizar Fadani, Ahyan Fransisca Budyanto Widjaja, Fransisca Budyanto Haikal Sofyan Arif Kim, Dong Eon Mursyid Hasan Basri Rachmania, Ilma Nurul Saraswati, Anggita Tamaputra, Reza Satria Utama, Akbar Adhi