Angelika, Natasha (2026) Pengembangan Sistem Pendukung Keputusan berbasis Model Recency Frequency Monetary guna Optimalisasi Proses Bagi Tim Business Analyst di PT XYZ. Tugas Akhir (S1) - thesis, Universitas Bakrie.
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Abstract
This study aims to develop a Decision Support System (DSS) based on the Recency, Frequency, Monetary (RFM) model to improve the efficiency of the Business Analyst (BA) work process in a B2B pharmaceutical company (PT XYZ). The main problem identified in the As-Is condition was the dominance of manual, spreadsheet-based activities, resulting in long Lead Time, a high number of Non-Value Added activities, and low process efficiency. The study applied the Business Process Improvement (BPI) approach to evaluate process improvements using Lead Time, Task Count, and Process Cycle Efficiency (PCE) as indicators. System development employed the Rapid Prototyping method. The results indicate that the implemented DSS successfully automated RFM calculations, generated 27 outlet segments consistently, and presented analytical outputs through an interactive Tableau-based dashboard. Quantitatively, the system reduced Lead Time by 82.42%, decreased Task Count by 63.16%, and increased PCE from 31.6% to 79.2%. Validation through User Acceptance Test confirmed that the system met user needs and was operationally relevant. This study concludes that the proposed RFM-based DSS effectively enhances both process efficiency and analytical quality for BA activities.
| Item Type: | Thesis (Tugas Akhir (S1) - ) |
|---|---|
| Uncontrolled Keywords: | Decision Support System, RFM, process efficiency, BPI, Business Analyst |
| Subjects: | Industrial & Manufacturing Engineering > Business Process Reengineering Computer Science > Decision Support System (DSS) Computer Science > Web-Based Group Decision Support System (WGDSS) Marketing > eCommerce Thesis > Thesis (S1) |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > Program Studi Teknik Industri |
| Depositing User: | Natasha Angelika |
| Date Deposited: | 06 Mar 2026 07:01 |
| Last Modified: | 06 Mar 2026 07:03 |
| URI: | https://repository.bakrie.ac.id/id/eprint/13345 |
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