@thesis{thesis,
		author={.  Silvia},
		title ={Klasifikasi data penawaran pemeliharaan perkapalan menggunakan metode c4.5},
		year={2020},
		url={http://eprints.ukmc.ac.id/4456/},
		abstract={PT. Musi Prima Karsa is a company that engaged in loading and unloading services using ships, therefore the company always pays attention to its ships so that it is well maintained, so that loading and unloading activities run smoothly and well, therefore the ship repair maintenance tender. PT. Musi Prima Karsa is offered by KSOP (Kesyahbandaran and Port Authority), then the company made a ship repair maintenance tender decision. This research was conducted to offer ship repair at PT. Musi Prima Karsa using Data Mining techniques. The C4.5 algorithm is a Data Mining technique that can be used to analyze ship repair tender data. This C4.5 algorithm will form a decision tree. Decision trees turn a lot of facts into decision trees that represent rules. The results achieved are rules that can be used to describe the processes associated with ship repair tender. The characteristics of the classified data can be obtained clearly, both in the form of a decision tree structure and rules so that in the testing phase it can help in analyzing ship repair tender.}
		}