The implementation of supply chain management and big data to accelerate stock order in mega drug store

Abstract

This study discusses the application of big data analysis in the reservation process on ordering the drug stocks at Mega drug store. Data collection was done by using big data analysis with survey method. The aim is to obtain the suppliers' information as well as the nearest and quickest access from Mega drug store so that it can speed up the process of ordering the drug stock. In addition to coordinating the drug stocks, the owners also want some progress in their business. Big data analysis can be defined as an application that implements data mining, statistical analysis, prediction analysis, and others. Analysis using big data provides the effect to improve business performance because it can improve the services to customers, sell new products, increase sales, and open a new branch. This research was conducted to explore the use of big data analysis in its influence on supply chain management. Among distributed 300 questionnaires, only 247 respondents responded, with a percentage of 82.33%. 35.4% of the respondents indicated that they were never involved in the acquisition, control, storage and stock management of health medicines commodities. When asked about the scope of the supply chain where they were often involved, 43.9% of respondents indicated that they felt involved with forecasting, 69.5% with procurement, 22% with inventory control, 4.9% with distribution, 45.1% with drug management information system and 34.1% with monitoring and evaluation.