ENVELOPMENT DATA ANALYSIS DALAM PROSES EFISIENSI PENGEMBANGAN DATA ANTRIAN PADA RUMAH SAKIT
Organizations that emphasize the concept of customer satisfaction will do a variety of ways to maximize service phase 1, namely Front Liner (FL). The service system contained in the FL network cannot be separated from the queuing system. Acting on the problems mentioned above, today people are spoiled with technology-oriented facilities. Some FL-oriented organizations provide additional concepts with technology systems that focus on the concept of queuing. In applying this concept of queuing, researchers analyzed it using the concept of Envelopment Data Analysis, commonly abbreviated as DEA. DEA is used to measure queue time efficiency, so that it can produce data to predict queue time. Until finally making it easier for customers to get a queue number which is the initial stage of the process of improving service quality. Concept development is more focused on how to implement DEA in a queue system using meia online. IoT opinion in the customer service application becomes an important point in the concept of customer satisfaction.
Đorđe, Đ., & Mathias, E. (2010). DATA ENVELOPMENT ANALYSIS FOR ASSESSING THE EFFICIENCY OF. Journal on Processing and Energy in Agriculture.
Hadinata, I., & Manurung, A. H. (2016). PENERAPAN DATA ENVELOPMENT ANALYSIS (DEA).
Suseno, B. P. (2008). ANALISIS EFISIENSI DISTRIBUSI PEMASARAN PRODUK DENGAN. Jurnal Penelitian Ilmu Teknik.
Wu, Y., Ke, Y., Xu, C., Xiao, X., & Hu, Y. (2017). Eco-efficiency measurement of coal-fired power plants in China using super. School of Economics and Management, North China Electric Power University.