YULYONISFAH, REGITA (2021) PERBANDINGAN ALGORITMA JARO-WINKLER DISTANCE DAN LEVENSHTEIN PADA SISTEM SCREENING NASABAH. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The Know Your Customer Principle is the principle that applied by the Bank to find out their customer's profile. One of the ways to do know customers is by screening new customer and existing customers. The screening process is a process of comparing new customer data with data in the List of Daftar Terduga Teroris dan Organisasi Teroris (DTTOT), Proliferation lists, OFAC lists. Screening Customer Applications help to minimize human error, improve accuracy, and speed up the screening process. In the process of comparing data, application using the Jaro-Winkler distance similarity algorithm and Levenshtein algorithm. Testing is done by comparing parameters so that the accuracy of the system is obtained. After testing, the data from the results of both tests are calculated on average and then the comparison is analyzed. The results of the comparative analysis obtained will determine the algorithm that is most suitable for Indonesian in the customer screening system. Mengenal nasabah adalah prinsip yang diterapkan Bank untuk mengetahui profil nasabah. Prinsip mengenal nasabah salah satu nya dengan melakukan screening terhadap calon nasabah dan nasabah yang sudah ada (existing) di bank tersebut. Proses screening merupakan proses membandingkan data calon nasabah baru dengan data yang terdapat pada Daftar Terduga Teroris dan Organisasi Teroris (DTTOT), daftar Proliferasi, daftar OFAC. Aplikasi screening customer membantu meminimalisir human error, meningkatkan akurasi, dan mempercepat proses screening. Dalam proses membandingkan data aplikasi menggunakan algoritma similarity Jaro-Winkler dan Levenshtein. Pengujian dilakukan dengan membandingkan parameter sehingga mendapatkan nilai akurasi dari sistem. Setelah dilakukan pengujian, data dari hasil kedua pengujian dihitung rata-ratanya kemudian dianalisis perbandingannya. Hasil analisis perbandingan yang di dapat akan menentukan algoritma yang paling cocok dengan Bahasa Indonesia pada sistem screening nasabah.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41819110030 |
| Subjects: | 300 Social Science/Ilmu-ilmu Sosial > 370 Education/Pendidikan > 374 Adult Education/Pendidikan untuk Orang Dewasa > 374.4 Distance Education/Pendidikan Jarak Jauh 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | FRAYUDA ADRIANSYAH SAID EFFENDI |
| Date Deposited: | 19 Jun 2024 04:07 |
| Last Modified: | 19 Jun 2024 04:07 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/88976 |
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