Penerapan metode decision tree dalam penentuan plafon kredit pelanggan dengan algoritma c4.5 pada CV. Sumber Rezeki Sukses Gemilang

Surya, Ardyan (2021) Penerapan metode decision tree dalam penentuan plafon kredit pelanggan dengan algoritma c4.5 pada CV. Sumber Rezeki Sukses Gemilang. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Bagi kegiatan usaha sebagai distributor bahan bangunan memberikan opsi pembayaran piutang dengan kredit dalam jangka waktu yang ditetapkan oleh perusahaan. Namun sering dijumpai dengan pelanggan yang tidak mampu membayar piutang sesuai jumlah piutang yang sering melebihi jangka waktu pembayaran yang sudah ditetapkan. Oleh karena itu perusahaan distributor harus mengetahui kemampuan bayar pelanggan dengan memberikan plafon kredit agar bisa menghindari kerugian. Penulis akan menganalisis data dengan menggunakan metode Decision Tree dengan Algoritma C4.5 terhadap data laporan piutang pada CV. Sumber Rezeki Sukses Gemilang agar dapat menentukan plafon kredit pelanggan. Dari data yang diperoleh dari laporan piutang perusahaan maka menghasilkan 5 atribut yaitu Pembayaran, Piutang, Transaksi, Rekomendasi, dan Plafon dimana label keputusannya yaitu Plafon. Setelah dilakukan pengujian terhadap data laporan piutang pada CV. Sumber Rezeki Sukses Gemilang menggunakan metode Decision Tree dengan Algoritma C4.5 menghasilkan kesimpulan apabila plafon besar maka pembayaran tidak bagus dan plafon kecil maka pembayaran sangat bagus./For business activities as a distributor of building materials, it provides an option for payment of receivables by credit within a period determined by the company. However, it is often encountered with customers who are unable to pay their receivables according to the amount of receivables that often exceed the predetermined payment period. Therefore, the distributor company must know the customer's ability to pay by providing a credit limit in order to avoid losses. The author will analyze the data using the Decision Tree method with the C4.5 Algorithm on the receivable report data on the CV. Sumber Rezeki Sukses Gemilang in order to determine the customer's credit limit. From the data obtained from the company's accounts receivable report, it produces 5 attributes namely Payments, Receivables, Transactions, Recommendations, and Credits where the decision label is Credits. After testing the receivables report data on CV. Sumber Rezeki Sukses Gemilang uses the Decision Tree method with the C4.5 Algorithm to conclude that if the credit limit is large, the payment is not good and the credit limit is small, the payment is very good.

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