Nosiel, Nosiel (2022) KLASIFIKASI CALON NASABAH DEPOSITO BANK MENGGUNAKAN PARTICLE SWARM OPTIMIZATION (PSO) DAN ALGORITMA DECISION TREE C.4.5. Masters thesis, INSTITUT INFORMATIKA DAN BISNIS DARMAJAYA.
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Abstract
Banks are companies that have large data stored in databases and processed to produce interrelated information about customers. These data are useful to maintain relationships between banks and valid customers, thus it helps to determine individually what bank product offerings. Each Finance institution has many products to attract customers, such as voluntary deposits and term savings. One of the products of the Bank is Time Deposits that have a predetermined period. In marketing this deposit product, the bank does not do it to all customers, but to those who are considered potential. One that can be applied is by applying data mining methods. With this data mining technique, the process of determining potential customers or not is assisted by computer applications based on algorithms that have the highest accuracy. Based on the previous research, it still needs to be further developed so that the classification of prospective bank deposit customers gets a very high level of accuracy. To achieve this, the researcher uses the Particle Swam Optimization (PSO) feature selection and the Decision Tree C45 algorithm. After doing some testing using split validation by changing the value of the split ratio of the training data to 70% and testing to 30%, then changing the maximum depth value to 41, and the minimum leaf size to 1, the minimum size for the split to 1, the number of prepruning alternative to 1, produces 99.84% accuracy, 100% precision, 98.63% recall, and 0.998 AUC value. The performance of the algorithm in this study shows very good performance and a very high level of accuracy. Keywords: Classification, Bank, Time Deposit, PSO, Decision Tree C.4.5.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Ilmu Komputer eTheses |
| Divisions: | Pasca Sarjana > Magister Teknologi Informasi |
| Depositing User: | Nosiel Nosiel Nosiel |
| Date Deposited: | 05 Sep 2022 08:53 |
| Last Modified: | 05 Sep 2022 08:53 |
| URI: | http://repo.darmajaya.ac.id/id/eprint/8267 |
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