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Examining IT Service Management at Company XYZ through the Lens of ITIL V3 Service Operation Domain Mutikno, Wiwit Gayuh Mugi; Rizaldi, Dani; Syanahieskara, Razel; Pratiwi, Widya Dian; Muntaqo, Firman; Aeni, Aisyah Nur; Jeenduang, Nutjaree
International Journal of Informatics and Information Systems Vol 7, No 2: March 2024
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v7i2.199

Abstract

The rapid development of information technology and good technology services is an expectation for all people, organisations, institutions, and universities in order to support activities, facilitate their activities and business processes. A business organisation needs to adapt to the current development of information technology. IT service management is a method of managing information technology systems that is centred on the consumer perspective of information technology services on the company's business. Company XYZ has implemented information technology that is intended for users to be able to carry out service management activities as well as processing company administrative data. Service Operation is a lifecycle phase that includes all the day-to-day operations of IT service management. Based on the results of research on 3 processes, namely Event Management, Request Fulfilment and Problem Management, it is necessary to increase the need for adequate hardware, software and infrastructure in meeting the needs of Company XYZ in working more effectively. Then the need for proper application of SOPs and modules to employees is somewhat more efficient in using information technology.
Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm Manurung, Romarta Yemima; Sari, Dewi Purwita; Agustinah, Nabila; Syanahieskara, Razel; Tahyudin , Imam; Nurfaizah, Nurfaizah; Alvi Sholikhatin, Siti
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 4 (2022): Vol. 2 No. 4 (2022): Volume 2 Issue 4, 2022 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.3 KB) | DOI: 10.31763/iota.v2i4.550

Abstract

Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation sector will be mined to support decision-making information. This research purpose is to analyze the tourism business number in the entertainment and recreation sectors. The method is using predictive Apriori algorithm. The data has been tested using Knime software to process data on the number of tourism businesses in the entertainment and recreation sector at the domestic level by using business data whose numbers are increasing or decreasing. Starting from entering nodes 1, 2 and 3 to getting node 4, which is the final result. The results obtained show the data set that produces the final result for every 1 tourism business data. The result obtained that the tourism number in entertainment and recreation sectors are increasing. Furthermore, the prediction result of entertainment and recreation which have best accuracy are balls, discotheques, massage parlors, karaoke, live music, massage parlors, sports and physical fitness centers, family recreation facilities and spa