JOB SELECTION OF THE INFRASTRUCTURE SECTION IN FOUNDATION X WITH C4.5 ALGORITHM
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Date
2020
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International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02
Abstract
An 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.
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Keywords
Algoritma C4.5, Jenis Pekerjaan, Kelayakan, Pohon Keputusan