Analysis and Development of A Web-Based Digital Pawn Application and Application Management Information System to Improve Transparency and Efficiency of Collateral Services
DOI:
https://doi.org/10.59188/jurnalsostech.v6i7.32928Keywords:
Pawn Information System, Digital Appraisal, Artificial Intelligence, Fintech, Price TransparencyAbstract
Pawn services represent one of the fastest financial solutions for lower-middle-income communities. However, manual and non-transparent appraisal processes often create uncertainty for prospective customers regarding the valuation of pledged assets. This study aimed to design and develop a digital pawn information system that emphasized automated price appraisal features and online pawn applications. The system integrated an artificial intelligence (AI)-based automated appraisal engine with a human-in-the-loop approach, in which the system generated objective appraisal recommendations that were subsequently validated by administrators to ensure decision accuracy and accountability. The transparency indicator in this system was implemented by providing customers with a real-time estimated loan value range (minimum and maximum limits) based on measurable asset specifications, thereby reducing subjectivity during the initial assessment process. Key system features included a pawn value estimation calculator, a physical item photo documentation upload form to support remote verification, and a centralized management dashboard for application validation. The research findings are expected to reduce service waiting times compared with conventional methods and provide customers with greater certainty regarding estimated appraisal values before completing physical transactions.
References
Billyahsan, M. F., Al-Faqih, M., Syahputra, I., Sialagan, W., Mahardiksa, A., & Damanik, B. E. (2025). Pengaruh Fintech Terhadap Inklusi Keuangan di Indonesia. Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara (JIKOMNUS), 3(1), 59-63. https://ejournal.siantarcodesacademy.com/jikomnus/index.php/public/article/view/81
Hadinegoro, A. (2020). Fuzzy Mamdani dan Fuzzy Tsukamoto Untuk Kesesuaian Prediksi Pemberian Kelayakan Pinjaman (Studi Kasus : Sentra Gadai). Information System Journal (INFOS), 3(2), 18-22. https://jurnal.amikom.ac.id/index.php/infos/article/view/419
Surbakti, O. R. J., Brata, A. H., & Brata, K. C. (2023). Pengembangan Sistem Informasi Usaha Gadai Berbasis Web (Studi Kasus: UD. Ricky Gadai Medan). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 7(6), 2992-30 https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/12788
Yulianti, G., Chaidir, M., & Pramono, A. S. (2024). Peran Teknologi Keuangan (Fintech) Dalam Mendorong Pertumbuhan Ekonomi dan Inklusi Keuangan di Indonesia: Tantangan dan Peluang. CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia, 4(4), 349-355. https://www.journal.das-institute.com/index.php/citizen-journal/article/view/649
Bhattacharya, C., & Sinha, M. (2022). The role of artificial intelligence in banking for leveraging customer experience. Australasian Accounting, Business and Finance Journal, 16(5), 89–105.
Can, Y. S. (2022). Classification of original and counterfeit gold matters by applying deep neural networks and support vector machines. Uludağ Üniversitesi Mühendislik Dergisi, 27(1), 89–102. https://doi.org/10.17482/uumfd.1054013
Caridi, A., Giovannini, M., & Ricciardi Celsi, L. (2026). AI-assisted value investing: A human-in-the-loop framework for prompt-guided financial analysis and decision support. Electronics, 15(6), Article 1155. https://doi.org/10.3390/electronics15061155
Lazaros, K., Vrahatis, A. G., & Kotsiantis, S. (2026). Human-in-the-loop artificial intelligence: A systematic review of concepts, methods, and applications. Entropy, 28(4), Article 377. https://doi.org/10.3390/e28040377
Meero, A. (2025). Islamic vs. conventional banking in the age of FinTech and AI: Evolving business models, efficiency, and stability (2020–2024). International Journal of Financial Studies, 13(3), Article 148. https://doi.org/10.3390/ijfs13030148
Moharrak, M., & Mogaji, E. (2025). Generative AI in banking: Empirical insights on integration, challenges and opportunities in a regulated industry. International Journal of Bank Marketing, 43(4), 871–896.
Molakatala, N., Undru, V. B., Tambala, S. R., Tejaswini, M., Teja Kiran, M., Tejo Seshadri, M., & Juturi, V. S. (2024). Fraudulent practice detection in bullion trade in selling of gold jewellery through AI methods. In B. J. Choi, D. Singh, U. S. Tiwary, & W.-Y. Chung (Eds.), Intelligent Human Computer Interaction (Lecture Notes in Computer Science, Vol. 14531, pp. 1–10). Springer. https://doi.org/10.1007/978-3-031-53827-8_34
Ogundimu, O. (2025). Artificial intelligence in financial and operational risk management: A critical analysis. Cognizance Journal of Multidisciplinary Studies, 5, 484–506.
Putra, F. A. D. T. (2022). Rancangaan sistem informasi berbasis web untuk pengelolaan data transaksi nasabah pada perusahaan pegadaian. Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, 11(1), 123–130. https://doi.org/10.35889/jutisi.v11i1.821
Qothrunnada, N. A., Iswanto, J., Fitrotus, D., Hendrarti, B. G., & Subekan, S. (2023). Transformasi digital lembaga keuangan syariah: Peluang dan implementasinya di era industri 4.0. Indonesian Journal of Humanities and Social Sciences, 4(3), 741–756.
Sari, N., Husaini, H., & Razi, Z. (2023). Sistem pendukung keputusan penerimaan barang gadai nasabah dikantor pegadaian cabang Sigli menggunakan metode profile matching berbasis web. Jurnal Riset Rekayasa, 5(3), 459–463. https://doi.org/10.47647/jrr.v5i3.1526
Tang, Y., Liu, Y., & Liu, D. (2025). Data asset valuation model based on generative artificial intelligence. PLOS ONE, 20(8), Article e0328926. https://doi.org/10.1371/journal.pone.0328926
Hunter, S., Pham, C., Kim, K., Trinh, L. Q., Chai, A., Deshpande, S., Johl, S., Morgan, P. J., & Obucina, M. (2025). Factors influencing digital financial services adoption in low-and medium-income countries: a systematic literature review. International Journal of Bank Marketing, 43(9), 1884–1909.
Jha, S., & Dangwal, R. C. (2025). Fintech services and financial inclusion: a systematic literature review of developing nations. Journal of Science and Technology Policy Management, 16(7), 1167–1198.
Mishra, D., Kandpal, V., Agarwal, N., & Srivastava, B. (2024). Financial inclusion and its ripple effects on socio-economic development: a comprehensive review. Journal of Risk and Financial Management, 17(3), 105.
Pradhipta, R. D., Wafdayanti, H., Mawardi, W., & Pangestuti, I. R. D. (2025). Measuring fintech and digital banking scalability to enhance financial inclusion in Indonesia. Economic and Business Horizon, 4(3), 449–458.
Shofawati, A. (2019). The role of digital finance to strengthen financial inclusion and the growth of SME in Indonesia. KnE Social Sciences, 389–407.
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