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Journal : Jurnal Logistik Indonesia

Using Forecasting Methods to Increase the Accuracy of Container Demand Requirement: An Indonesian Case Study Iskandar, Yelita Anggiane; Purba, Niko Andri
Jurnal Logistik Indonesia Vol. 8 No. 1: April 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v8i1.4124

Abstract

PT Crieta Logistics ships goods in containers. In carrying out its business, the company often experiences lost sales which are caused by the unavailability of containers so that the orders can be fulfilled. From January to July 2022, PT Crieta Logistics experienced lost sales of 21, 9, 12, 34, 19, 4 and 2 TEUs respectively. Therefore, in this study forecasting the number of requests for containers at PT Crieta Logistics conducted to make decisions related to handling demand for containers in the coming period. This forecasting result served as a basic input to establish policies of container availability, such as whether to reorganize contracts with vendors or others. The forecasting is done using 3 methods, namely linear, quadratic, and exponential regression with historical data of 2 years from July 2020 to July 2022. In determining the most accurate forecasting method, the error value is calculated using the mean absolute percentage error (MAPE) method. In the linear regression method, the MAPE value is 9.5%, while in the quadratic method, the MAPE value is 9%, and in the exponential method, the MAPE value is 9.2%. The quadratic method was chosen as the method suitably used in forecasting the next 12 periods because it has the smallest MAPE value. Forecasting demand using the quadratic method produces 12,631 units of containers for the next 12 periods, from August 2022 - July 2023.
Factors Influencing Switching Intention of Medical Waste Bin with Push Pull Mooring Approach Gaffar, Aditya; Lusiani, Mirna; Iskandar, Yelita Anggiane
Jurnal Logistik Indonesia Vol. 6 No. 2: Oktober 2022
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v6i2.2671

Abstract

PT BINMED Ecomedika Industri (BINMED) is one of the companies engaged in the manufacture of medical devices in the form of special waste bins for sharps medical waste. Since starting to be marketed in 2019 until now, BINMED products have not reached the sales target. This is because conventional and/or non-standard safety boxes such as medical plastic bags, used bottles of mineral water in packaging, and jerry cans are still being used. In addition, BINMED products have just begun to be marketed in the Jabodetabek area using free trials and discounts. However, these two methods have not been able to attract the attention of potential buyers. Therefore, it is necessary to analyze the factors that influence prospective buyers to switch to using the BINMED safety box. The data collected were 72 samples using the purposive sampling technique to find the right respondents, namely prospective buyers working in the health sector. The variables used in this study include push effects (pricing, satisfaction, and trust), pull effects (attractive alternatives), and mooring effects (switching costs and subjective norms). Based on the results of data processing and analysis of research results, it was found that alternative interest had a significant effect on the intention to switch to the use of the safety box while the variables of pricing, satisfaction, trust, switching costs, subjective norms and the moderating effect of the mooring effects between push and pull effects and switching intentions did not affect switching intentions. The managerial implication that can be applied by the company is to promote on social media and cooperate with medical waste transport service providers who have collaborated with health facilities.
Enhancing Storage Efficiency with Class-Based Storage Design: A Lubricant Drum Warehouse Study at PT Patra Logistik Iskandar, Yelita Anggiane; Alkatiri, Non Firdiyanti
Jurnal Logistik Indonesia Vol. 9 No. 1: April 2025
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v9i1.4868

Abstract

Efficient storage is a critical aspect of warehouse management, particularly in industries constrained by limited space, such as lubricant drum storage. PT Patra Logistik, a third-party logistics (3PL) provider for PT Pertamina Lubricants, has faced inefficiencies in its warehouse operations due to an unstructured storage system. The current use of a random storage method has led to increased travel distances for goods movement, difficulty in locating products, and overall layout disorganization. This study aims to redesign the warehouse layout using the Class-Based Storage (CBS) method to minimize the travel distance involved in the picking and storing of goods. The research employed field observations, interviews, and analysis of historical goods movement data from the April-June 2024 period. ABC Analysis was utilized to classify products based on the frequency of inbound and outbound movements. These classifications served as the foundation for developing a more efficient warehouse layout. The results indicate that implementing the CBS method significantly reduced the total travel distance from 164,625 meters to 78,609 meters, a reduction of 86,015 meters. This improvement enhanced operational efficiency by decreasing retrieval time, increasing labor productivity, and optimizing storage space utilization. Furthermore, validation of the new layout design revealed strong support from respondents, with the majority agreeing or strongly agreeing with the proposed system.
Association Rules Mining for Designing Product Bundling Strategy (Study Case at a Cafe in Jakarta) Jannah, Milqi Miftahul; Iskandar, Yelita Anggiane; Zulvia, Ferani Eva
Jurnal Logistik Indonesia Vol. 7 No. 2: Oktober 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i2.3466

Abstract

Cafe X is a modern and prominent coffee shop in town that sells specialty beverage products with a total of 73 variations. Sales transactions that occurred in March 2021 at that Cafe reached an average of 300 times per day. All this time, the transaction data is only used to calculate inventory replenishment and to observe sales profits whereas it can actually be utilized to reveal information related to customer behavior in buying products by finding the association or pattern between product sales. The purpose of this study is to obtain association models between items that can be used as a base to arrange recommendations for selling beverage products at Cafe X using a data mining method, namely the association rules with the Apriori algorithm. The transaction data specified for data processing are payment transactions of a total of 3,100 data records. From the analysis results, it is known that there are 8 product association rules that meet the minimum support of 0.01 and the minimum confidence of 0.5, which means that these rules can be used as an alternative basis for determining business strategy at Cafe X. Based on the association information between products, the customer relationship management (CRM) strategy that can be applied at Cafe X is the promotion strategy of product bundling. From a number of recommended bundled products, it is found that there are opportunities to increase sales for four products, they are MD001, TH002, LB001, and TU001.