INVENTORY ANALYSIS SYSTEM USING PREDICTIVE ANALYTICS (CASE STUDY: RS. CICENDO)

• Main Author: Hartati Nugraheni, Yenny
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/46285
• Institution: Institut Teknologi Bandung

Indonesia facing challenges in the health sector, population growth and public expectations toward health services, become factors that greatly influence decisions in the health business. In terms of carrying out social functions as a service provider to the community, hospitals also face challenges to create effective and efficient services. The use of data is a very important key for decision makers to allocate financial resources with the appropriate supply of goods to ensure health services to the society. Data can be very important information when processed to provide support for decision making. In the development of technology, data will be processed into appropriate information using Granger Analytics and Holf-Winters forecasting. Processing data into information to get the connection between inventory management and consumption patterns in the previous time period. Granger analytics will illustrate the relationship between data and become useful information for decision making. Holf-winter forecasting will play a role in reading demand predictions in the future. The preparation of analytics simulations with the use of technology with the big data analytics processing approach will make business planning more accurate. This research faces limited data constraints, however it can still be used as a simulation for future inventory analysis.