ANALISIS PERFORMA DATA MINING MENGGUNAKAN ALGORITME C4.5 PADA KELAYAKAN PEMBERIAN KREDIT DI PD. BPR BKK CABANG CILONGOK

Khairunnisa, Ismi (2019) ANALISIS PERFORMA DATA MINING MENGGUNAKAN ALGORITME C4.5 PADA KELAYAKAN PEMBERIAN KREDIT DI PD. BPR BKK CABANG CILONGOK. Other thesis, Universitas Amikom Purwokerto.

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Abstract

The Regional Company of the Pekreditan Rakyat Bank of the District Credit Bank (PD. BPR BKK) Purwokerto Branch Cilongok is one of the regional companies or financial institutions that provide banking principles. This company is located at Jl. Raya Cilongok No. 7 Cilongok Congestion. PD. BPR BKK provides assistance, one of which is funding in the form of installment loans. The process of evaluating prospective creditors should be carried out carefully and thoroughly. However, in its implementation, the analysis is still experiencing problems when the selection process of prospective creditors is less selective. Less selective in the selection process is because the analyst still uses an element of estimation or subjectivity, meaning the analysis must be sorted out because there are quite a lot of assessment criteria used. From the analysis of the problem, obtained an information that the analysis requires a method that can help the analysis to facilitate the selection process. One technique that can help overcome these problems is data mining using the C4.5 Algorithm method. This research was conducted with the aim to find out the performance results generated from the C4.5 algorithm so that it can be seen whether the algorithm can be used to solve problems in the assessment of prospective creditors. Observation methods used in this study are interviews, literature studies, and primary data. As for this research, it was achieved that showed performance obtained from algotitme C.45 resulting in an average accuracy value of 97.26%, recall of 98.15%, precision of 97.66%. From the acquisition of the test value, it can be concluded that the accuracy of 97.26% is a very good classification category, so it can be concluded that the C4.5 algorithm can be used for decision making in the selection of prospective creditors in PD. BPR BKK Branch Cilongok.

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Riyanto, M.Kom., dan Bambang Pilu Hartato, S.Kom., M.Eng.
Uncontrolled Keywords: Selection, Performance, Data Mining, C4.5 Algorithm
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HJ Public Finance
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 22 Sep 2020 08:27
Last Modified: 22 Sep 2020 08:27
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/237

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