Klasifikasi Penentuan Kelayakan Pemberian Pinjaman Pada Koperasi Karyawan Menggunakan  Algoritma C4.5

Sunarti, Sunarti

doi:10.33633/joins.v6i1.4330

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Penelitian yang dilakukan oleh Fauzi Rahman, dkk (2020), membahas mengenai memprediksi asal calon mahasiswa berbasis website dengan algoritma C.45, menghasilkan nilai akurasi 99,48% [11]. Penelitian yang dilakukan oleh Sunarti (2021), membahas mengenai penentuan kelayakan pemberian pinjaman pada koperasi karyawan menggunakan algoritma C.45, menghasilkan pohon keputusan dengan tingkat akurasi 85,19% dengan nilai yang didapatkan 0,915 [12]. Penelitian yang dilakukan oleh Amalia Iftitah dan Resad Setyadi (2023), membahas mengenai analisis pengadaan peralatan dan mesin kantor menggunakan algoritma C.45 menghasilkan nilai akurasi 100% [13].…”

Section: Pendahuluanunclassified

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Salsabila,

Wijayanto

2023

josh

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Badan Keuangan dan Aset Daerah (BKAD) of Banyumas Regency is an institution under a government position consisting of several sub-sectors, one of which is the Assets Sub-sector. The BKAD Regional Asset Sub-sector in Banyumas Regency has a type of Goods Inventory Card (KIB) that has not been managed properly, including KIB for office vehicles making it difficult to make a proposal for office vehicle maintenance. Maintenance of office vehicles is the initial stage of replacing vehicles according to employee needs so that employee performance can be maximized. Forecasts for office vehicle maintenance are presented to facilitate the implementation of duties in carrying out business trips. The methods used in data collection are survey methods, literature, and interviews. The data collection method used in this report uses a quantitative method with the C.45 algorithm. Predicting the quality of office vehicles can carry out several stages such as reviewing office vehicles, classifying the condition of office vehicles, after that a decision is made on which vehicles are suitable for use or not suitable for use. Analysis of predicting the quality of office vehicles using the C.45 algorithm with the rapidminer application can produce results in the form of a decision tree that is used by the asset sub-sector in order to make a decision. Based on the prediction results of office vehicle quality, it can be concluded that office vehicles will be suitable for use if the year of purchase or procurement is more than 2000 and office vehicles will not be suitable for use if the year of purchase or procurement is less than or equal to 2000. If you want to compare the results obtained it is advisable to use other tools or algorithms to make the next report.

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Section: Pendahuluanunclassified

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Salsabila,

Wijayanto

2023

josh

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“…Penelitian yang dilakukan oleh Sunanti dengan tema Klasifikasi Kelayakan Pemberian Pinjaman pada Koperasi dengan Algoritma C4.5. Penelitian ini menentukan kelayakan pemberian pinjaman pada koperasi karyawan menggunakan tools rapidminer dengan hasil akurasi sebesar 85.19% [6].…”

Section: Tinjauan Pustaka Dan Teori 21 Tinjauan Pustakaunclassified

Analisis Kelayakan Pemberian Kredit Koperasi Dengan Metode Data Mining Decision Tree

Rahmianti¹

2022

JIRE

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Savings and loan cooperatives provide credit to members with certain criteria. This study was conducted to analyze the feasibility of providing credit to members of savings and loan cooperatives. In developing their business cooperatives have problems choosing employees who are eligible or not in providing savings and loan cooperatives so that the cooperative's financial cycle can run in an orderly and smooth manner. The attributes used as test data are discipline, class, age, years of service, and other income. The research uses the decision tree algorithm C4.5 data mining method with rapidminer tools on the data of prospective cooperative creditors. The results obtained are 94.27% accuracy, 100% precision, and 89.29% recall.

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Klasifikasi Penentuan Kelayakan Pemberian Pinjaman Pada Koperasi Karyawan Menggunakan Algoritma C4.5

Cited by 2 publications

References 5 publications

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Implementasi Algoritma C.45 Dalam Memprediksi Kualitas Aset Kendaraan Kantor

Analisis Kelayakan Pemberian Kredit Koperasi Dengan Metode Data Mining Decision Tree

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