JOB SELECTION OF THE INFRASTRUCTURE SECTION IN FOUNDATION X WITH C4.5 ALGORITHM

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dc.contributor.authorSunjana
dc.contributor.authorPuspitarani, Yan
dc.date.accessioned2021-02-05T15:28:01Z
dc.date.available2021-02-05T15:28:01Z
dc.date.issued2020
dc.description.abstractAn institution generally requires a draft job that costs must be prepared well in advance. In relation to the effectiveness of time and budget efficiency, a mechanism is needed for ease in determining criteria or feasibility of a royalty to be included in the Budget Plan. This needs to be prepared every fiscal year, not least as the X Foundation's Infrastructure Section and Infrastructure does. To obtain the ease of decision-making with respect to the feasibility of the type of work to be budgeted within the RAB, the Infrastructure Section shall make predictions and classifications of the various types of work for which data has been recorded. For this purpose, Algorithm C4.5 can be utilized in conducting clustering process or work clasification based on information / data available. With the help of the C4.5 Algorithm the classification process can produce a Decision Tree associated with the type of work that is feasible to prepare in the RAB in the coming year. Decision-making process is done by processing existing data, and it is important for institutional sustainability process in moving company's business process. With the results that have been obtained, Section of Facilities & Infrastructure will be easier in doing the cost draft which subsequently submitted to RAB Yayasan X University.en_US
dc.identifier.issn1475-7192
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12103
dc.language.isoenen_US
dc.publisherInternational Journal of Psychosocial Rehabilitation, Vol.24, Issue 02en_US
dc.subjectAlgoritma C4.5en_US
dc.subjectJenis Pekerjaanen_US
dc.subjectKelayakanen_US
dc.subjectPohon Keputusanen_US
dc.titleJOB SELECTION OF THE INFRASTRUCTURE SECTION IN FOUNDATION X WITH C4.5 ALGORITHMen_US
dc.typeArticleen_US
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