Sofia, Anisa (2015) Aplikasi data mining pada penilaian kredit menggunakan algoritma rough set. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kredit merupakan salah satu mekanisme pembayaran
yang umum di masyarakat. Banyaknya permohonan kredit
menuntut kreditor harus mampu mengevaluasi permohonan
kredit dengan objektif, akurat, dan konsisten. Oleh karena itu
diperlukan credit scoring untuk membantu kreditor mengevaluasi
permohonan kredit. Permasalahan yang dibahas dalam Tugas
Akhir ini adalah mengetahui potensi keberhasilan seorang calon
nasabah kredit menggunakan algoritma klasifikasi berbasis
rough set dengan data historis nasabah kredit yang sudah ada.
Parameter-parameter yang digunakan adalah suku bunga, besar
kredit, kolektibilitas, jangka waktu, jenis usaha, produk dan
omzet nasabah. Dari hasil penelitian, didapatkan sebuah model
rough set yang mampu memprediksi keberhasilan calon nasabah
dalam pengambilan kredit. Dengan tingkat akurasi sebesar
82,4%. Dengan adanya aplikasi ini, seorang pengambil
keputusan dapat mengetahui potensi calon nasabah dan
mencegah terjadinya kredit macet.
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Credit is one of payment mechanism in society. Because
there are many credit application, creditors needs to evaluate the
credit application with objectively, accurately, and consistenlyt.
Therefore, it is needed credit scoring to help creditors evaluate a
credit application. The problem discussed is knowing the
potential success of a prospective customer credit through
classification algorithm based on rough sets with existing credit
historical data. The parameters used are: plafond, rate, term,
product, turnover, type of business and collectibility. From the
research, obtained a model of rough set with an accuracy level of
82,4%. With this application, a decision maker can determine the
potential prospective customer credit and prevent bad debts.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSMa 006.312 Sof a |
| Uncontrolled Keywords: | Data Mining; Credit Scoring; Klasifikasi; Rough Set |
| Subjects: | Q Science > QA Mathematics > QA76.9.D343 Data mining. Querying (Computer science) |
| Divisions: | Faculty of Mathematics and Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | - Taufiq Rahmanu |
| Date Deposited: | 29 Oct 2019 08:30 |
| Last Modified: | 29 Oct 2019 08:30 |
| URI: | http://repository.its.ac.id/id/eprint/71492 |
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