A data warehouse are central repositories of integrated data from one or more disparate sources from operational data in On-Line Transaction Processing (OLTP) system to use in decision making strategy and business intelligent using On-Line Analytical Processing (OLAP) techniques. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Multidimensional data models as an integral part of OLAP designed to solve complex query analysis in real time.
Competition in the business world in the pharmacy industry, demands the Pharmacist to determine a strategy that can increase drug sales. One way is to overcome the problems that occur in drugs store such as problems and sales of drug recommendations to suppliers who still use the prediction system of pharmacists. Data growth is less so utilized, data and information become useless like waste, sales strategy only as a little assumption without information and knowledge in server, consequently sales down and not range and items become expired and stock procurement is not according to market demand. Extracting data or an effort to retrieve valuable knowladge and information in a large database is called data mining or Knowledge Discovery in Database or usually shortened as KDD . One of the most popular algorithm in data mining technic is Apriori Algorithm, while the discovery of “relational combination pattertn among itemset used Assosiation Rules”. Data mining has been implemented into the various fields like : business or trade, education and telecommunication. In bussiness for instance, the implementation result of data mining use ‘algorithm Apriori which can give a hand to help the Businessmen make decision on supplies. For example, the necessity of supplies system in a drugstore as one of the mecical stuff supplier, and to determine which product as the priority should be supplied to anticipate out of stock of supplies availability in the store, as the results will also affect to the consumer service and daily income. Drugs are essential unit should be supplied and being and essential factor which will impact to the consumer trust to a hospital or another medical service. That is why the availability of medical drugs in drugstores is completely needed to support the succes of distribution to the consumers, so the activity of medical service to consumers run thoroughly. In this case, data mining is seen as able to buildt intelligent business environment as solution for competing increated compitition among the drugstores in future.
Data Center memiliki peran vital dan strategis dalam mendukung operasional perguruan tinggi. Berdasarkan Peraturan Pemerintah No.17 tahun 2019 pasal 20 ayat 1: Setiap pemilik Data Center wajib memiliki Disaster Recovery Center. Evaluasi Pengembangan Disaster Recovery Center untuk Data Center Universitas Udayana dilakukan dengan mempertimbangkan aspek ancaman alam, ancaman manusia, ancaman lingkungan, spesifikasi Data Center, virtualisasi dan teknologi cloud yang digunakan untuk menjaga ketersediaan layanan Data Center bagi Universitas Udayana dengan biaya pengembangan yang paling efisien. Dengan membandingkan biaya untuk pembangunan dan operasional DRC, ditemukan bahwa biaya implementasi Cloud DRC 3 kali lebih tinggi dibanding dengan DRC Konvensional. Biaya komputasi awan yang tinggi berkontribusi 67% terhadap struktur biaya Cloud DRC.
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