FAJAR, FIKRI IBNU (2026) PENGEMBANGAN SISTEM WEB CREDIT SCORING UNTUK PERUSAHAAN M-KNOWS CONSULTING. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
Cover.pdf Download (662kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
Bab 1.pdf Restricted to Registered users only Download (35kB) |
|
|
Text (BAB II)
Bab 2.pdf Restricted to Registered users only Download (130kB) |
|
|
Text (BAB III)
Bab 3.pdf Restricted to Registered users only Download (350kB) |
|
|
Text (BAB IV)
Bab 4.pdf Restricted to Registered users only Download (861kB) |
|
|
Text (BAB V)
Bab 5.pdf Restricted to Registered users only Download (27kB) |
|
|
Text (DAFTAR PUSTAKA)
Daftar Pustaka.pdf Restricted to Registered users only Download (73kB) |
|
|
Text (LAMPIRAN)
Lampiran.pdf Restricted to Registered users only Download (689kB) |
Abstract
The creditworthiness assessment process is a crucial stage in credit decisionmaking. Credit assessments that are still conducted manually have the potential to cause inconsistencies, require a long processing time, and lack objectivity in determining the eligibility of prospective customers. Therefore, this study aims to design and develop a web-based credit scoring decision support system that can assist the creditworthiness assessment process in a structured and objective manner. The developed credit scoring system applies the Simple Additive Weighting (SAW) method as a multi-criteria decision-making approach. This method is used to calculate preference values based on predetermined criteria and weights, resulting in a final score that represents the credit eligibility of each prospective customer. The research process includes requirements analysis, system design, system implementation, testing, and evaluation of the research results. The system is developed using the PHP programming language with a MySQL database and is designed as a web-based application to ensure ease of access and usability. The main features of the system include management of criteria and sub-criteria data, management of prospective customer data, credit scoring calculation using the SAW method, and presentation of assessment results in the form of scores, rankings, and reports in PDF format. The testing results indicate that the system operates in accordance with the designed functional requirements. The system is capable of generating accurate and consistent credit scoring calculations and assists users in making credit eligibility decisions more quickly and objectively. Thus, the developed web-based credit scoring system can be used as a decision support system in the creditworthiness assessment process. Keywords: credit scoring, decision support system, Simple Additive Weighting (SAW), web-based system, PHP, MySQL. Proses penilaian kelayakan kredit merupakan tahapan penting dalam pengambilan keputusan pemberian kredit. Proses penilaian yang masih dilakukan secara manual berpotensi menimbulkan ketidakkonsistenan, membutuhkan waktu yang lama, serta kurang objektif dalam menentukan kelayakan calon nasabah. Oleh karena itu, penelitian ini bertujuan untuk merancang dan membangun sistem pendukung keputusan credit scoring berbasis web yang dapat membantu proses penilaian kelayakan kredit secara terstruktur dan objektif. Sistem credit scoring yang dikembangkan menerapkan metode Simple Additive Weighting (SAW) sebagai metode pengambilan keputusan multikriteria. Metode ini digunakan untuk melakukan perhitungan nilai preferensi berdasarkan kriteria dan bobot yang telah ditentukan, sehingga menghasilkan nilai akhir berupa skor kelayakan kredit bagi setiap calon nasabah. Proses penelitian meliputi analisis kebutuhan, perancangan sistem, implementasi sistem, pengujian, serta evaluasi hasil penelitian. Sistem dikembangkan menggunakan bahasa pemrograman PHP dengan basis data MySQL, serta dirancang berbasis web agar mudah diakses dan digunakan. Fitur utama sistem meliputi pengelolaan data kriteria dan sub kriteria, pengelolaan data calon nasabah, proses perhitungan credit scoring menggunakan metode SAW, serta penyajian hasil penilaian dalam bentuk skor, peringkat, dan laporan dalam format PDF. Hasil pengujian menunjukkan bahwa sistem dapat berjalan sesuai dengan kebutuhan fungsional yang telah dirancang. Sistem mampu menghasilkan perhitungan credit scoring secara akurat dan konsisten, serta membantu pengguna dalam mengambil keputusan kelayakan kredit secara lebih cepat dan objektif. Dengan demikian, sistem credit scoring berbasis web yang dikembangkan dapat digunakan sebagai sistem pendukung keputusan dalam proses penilaian kelayakan kredit. Kata kunci: credit scoring, sistem pendukung keputusan, simple additive weighting (SAW), web, PHP, MySQL.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41520120022 |
| Uncontrolled Keywords: | credit scoring, sistem pendukung keputusan, simple additive weighting (SAW), web, PHP, MySQL. |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.1 Programming/Pemrograman |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | khalimah |
| Date Deposited: | 09 Apr 2026 03:07 |
| Last Modified: | 09 Apr 2026 03:07 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/101914 |
Actions (login required)
 |
View Item |
