Published: 2024-04-30
Implementation of Web-Based Loan Application Information System Using Simple Additive Weighting (SAW) at CV. Taruna Jaya Nusantara
DOI: 10.35870/ijsecs.v4i1.2348
Downloads
Abstract
Financial institutions offer cash loans with lighter terms and collateral compared to banks, including motor vehicle ownership as collateral. This study focuses on implementing a web-based Loan Application Information System using the Simple Additive Weighting (SAW) method at CV. Taruna Jaya Nusantara. The research aims to enhance the efficiency of the loan application process and evaluate loan feasibility. The system development method is integrated with web technology, with SAW used to measure relevant criteria. Implementing the Loan Application Information System with SAW significantly simplifies decision-making, reduces potential errors, and improves loan feasibility evaluation. Based on the ranking results, V1 = 1.9; V2 = 1.779; V3 = 2.0625. The selection process uses a tolerance limit for acceptance, where the accepted value threshold is set at > 2. Thus, it can be concluded that A3 with a value of 2.0625 meets the criteria for recommendation.
Keywords
Web-Based Loan Application ; Simple Additive Weighting (SAW) Method ; Financial Institutions ; Loan Feasibility
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 4 No. 1 (2024)
-
Section: Articles
-
Published: %750 %e, %2024
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/ijsecs.v4i1.2348
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
William Jeans Tambunan
PJJ Informatics, Universitas Siber Asia, South Jakarta City, Special Capital Region of Jakarta, Indonesia
Ucuk Darusalam
PJJ Informatics, Universitas Siber Asia, South Jakarta City, Special Capital Region of Jakarta, Indonesia
Catur Nugroho
PJJ Informatics, Universitas Siber Asia, South Jakarta City, Special Capital Region of Jakarta, Indonesia
-
Widyastuti, T., & Kurnianda, N. R. (2019). Perancangan Sistem Informasi Pengajuan Pinjaman Berbasis Web Menggunakan Metode Simple Additive Weighting. Pilar, 15(2), 219–226. https://doi.org/10.33480/Pilar.V15i2.716
-
Rahmanto, Y. (2021). Rancang Bangun Sistem Informasi Manajemen Koperasi Menggunakan Metode Web Engineering (Studi Kasus : Primkop Kartika Gatam). Jurnal Dinamika Manajemen Sistem Informasi, 2(1), 24. https://doi.org/10.33365/Jdmsi.V2i1.987
-
Mare, B. S., & Yana, A. A. (2022). Perancangan Sistem Informasi Berbasis Web Pada Koperasi Simpan Pinjam Sejahtera Bersama. Volume 11, (2).
-
Syukron, A., Slardiarinto, S., Saputro, E., & Widodo, P. (2023). Penerapan Metode Prototype Pada Perancangan Sistem Informasi Koperasi Simpan Pinjam Berbasis Website. Content: Jurnal Ilmiah Teknologi Informasi Dan Komunikasi, 3(1), 21–28. https://doi.org/10.31294/Conten.V3i1.1949
-
Yuswardi, et al. (2022). Sistem Pendukung Keputusan Pada Teknologi Informasi.
-
Khoirudin, D. H., Anam, C., & Khafidhoh, N. (2022). Sistem Pendukung Keputusan Penentuan Kelayakan Pengajuan Kredit Motor Berbasis Simple Additive Weighting (SAW) (Studi Kasus Ud. Putra Mandiri Motor).
-
Farlina, Y., Yani, A., & Marsusanti, E. M. (2021). Sistem Informasi Pengajuan Pinjaman Pada Koperasi Simpan Pinjam Karya Nusantara Sukabumi. Justika: Jurnal Ilmu Akuntansi, 1(1), 10–17. https://doi.org/10.31294/Justika.V1i1.254
-
Maria, A., & Purnomo, A. S. (2019). Sistem Pendukung Keputusan Pengajuan Kredit Menggunakan Simple Additive Weighting (SAW) (Studi Kasus Bank BPD DIY).
-
Saputri, G., & Eriana, E. S. (2020). Implementasi Metode Waterfall Pada Perancangan Sistem Informasi Koperasi Simpan Pinjam Berbasis Web Dan Android (Studi Kasus Pt. Peb). Jurnal Teknik Informatika, 13(2), 133-146.
-
Jia, T., Wang, C., Tian, Z., Wang, B., & Tian, F. (2022). Design of digital and intelligent financial decision support system based on artificial intelligence. Computational Intelligence and Neuroscience, 2022, 1–7. https://doi.org/10.1155/2022/1962937
-
Li, J., Zhu, S., & Liu, Y. (2006). Genetic programming with wavelet-based indicators for financial forecasting. Transactions of the Institute of Measurement and Control, 28(3), 285–297. https://doi.org/10.1191/0142331206tim177oa
-
Hartwell, C. (2017). The coevolution of finance and property rights: evidence from transition economies. Journal of Economic Issues, 51(1), 73–97. https://doi.org/10.1080/00213624.2017.1287488.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.