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Journal : JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering

Production Cost Analysis at PTPN VII Gunung Dempo Packaging Station using Activity-Based Costing Method Putri Amro, Alda; Rahmadani Zahra, Carissa; Fitriani, Lailatul; Putri Fadillah, May; Altis Irawan, Tito; Iskandar, Yelita Anggiane; Lusiani, Mirna
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 1 No 2 (2022): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v1i2.18

Abstract

Production costs consist of components that are directly attached to the product, including direct and indirect costs. In determining production costs such as packaging costs, the usage of the traditional model is not always suitable shown by the possibility of overstated or understated conditions. This study aims to propose the implementation of the Activity-based Costing (ABC) System in calculating the cost of tea packaging and finding the differences with the traditional costing. The data used were based on the case of PTPN VII Gunung Dempo, South Sumatra, Indonesia. The results using the ABC system show that the total cost per unit for BOPF tea products is IDR 34,444.45, for Dust products is IDR 35,629.77, and for Dust II products is IDR 35,629.77. While the traditional system calculation shows that the total cost per unit for BOPF tea products is IDR 61,982.60, for Dust tea products is IDR 61,982.60, and for Dust II tea products is IDR 61,982.60. The strategy that can be applied to avoid possible losses in determining packaging costs due to incorrect cost calculations using the traditional system model is to implement Activity-based Costing.
Transportation Development Trends in Reverse Logistics of Fast-Moving Consumer Goods Industries: A Bibliometric Analysis Fajar Ikhlas, Muhammad; Septiana, Winda; Khairunnisa, Nazihah; Rahardi, Riqqi; Iskandar, Yelita Anggiane; Candra Kurniawan, Adji
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 1 (2023): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i1.50

Abstract

The city's growing population is causing an increase in traffic demand for supply, mobility, and reverse logistics areas. These are the challenges that participants in the logistics sector are facing, together with rising commodity demand for fundamental requirements. As a result, many scientists are driven to design logistics solutions to mitigate the impact of a growing population, which increases demand for logistics and supply chains, which also has an influence on the community's environment. However, thorough literature survey studies targeted at finding potential treatments for the management of supply chain disorders using bibliometric, network, and theme analyses are still few and limited. According to the findings of the investigation, the primary supply chain themes are provider logistics and reverse logistics. This research has various implications for reverse logistics in the FMCG industry. According to the research, suppliers must understand that implementing environmental activities with their clients may improve their ability to compete in the market, and the "last mile" of distribution may thus be completed by electric cars because the distances are so short that they do not present any difficulties or require elaborate human planning. Therefore, we find that employing logistics providers to manage the FMCG industry or looking at the strategies of logistics providers for renewable energy might be an intriguing future study area.
Inventory Management with Demand Forecast for Eyeglass Lenses Using The Time Series Method at An Optical Store Adriel Silaen, Thobias; Iskandar, Yelita Anggiane
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 2 No 2 (2023): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v2i2.65

Abstract

In the healthcare sector, supply chain management is one of the most important elements since in the logistics of medical devices and pharmaceutical products, patient satisfaction is the main focus in efforts to improve service quality. One of the problems that often occurs in the optical supply chain is inventory control. The optical store is one of the microenterprises engaged in optometric health services. The enclosed supply chain is a three-echelon model, where the store is at the second level. The process of ordering lenses at the store from suppliers is not carried out based on predicted demand. The determination of the safety stock amount and the reorder point also still has a fairly low accuracy there. This is indicated by overstock and stock-out situations that still occur frequently in this company. Overstock causes the product to be damaged because it has been stored for too long and stock out causes lost sales. To solve the problem in this research, the prediction of future demand is overcome by using several time series methods, such as cyclical models, cyclical trend models, and ARIMA models. Forecasting result validation is implemented by calculating the calculation of errors using MAPE, MAD, and MSE then it was found that the forecasting model chosen to predict the demand for the lenses is a cyclical trend model. The result of the demand forecasting and safety stock size calculation with 3 service levels are used as input to determine the reorder point. After observing the condition of the company and the targets set by the company, the calculation results with a service level of 90% is the most possible to be implemented.