Implementasi Aplikasi Pengelolaan Pengajuan Peminjaman Melalui Agen pada PT Adira Pandaan
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Published:
Sep 30, 2025
Keywords:
Aplikasi Mobile, Flutter, Firebase, Pengajuan Pinjaman, Logika Fuzzy
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Abstract
This study aims to improve the efficiency and accuracy of the loan application process at PT. Adira Dinamika Multi Finance Pandaan through the development of a cloud-based mobile application. The system was developed using the Agile Scrum methodology, leveraging Flutter and Firebase technologies integrated with QR Code functionality and automated notifications via WhatsApp Bot. The research involves five key user roles: customer, agent, registration admin, submission admin, and supervisor. Evaluation was conducted through black box testing, usability testing based on the Likert scale, and eligibility classification testing using fuzzy logic. The results indicate that all system features function as expected, with high usability levels and positive user satisfaction. The implemented fuzzy logic model successfully classified loan eligibility with an accuracy rate of 92%. The system has been proven to accelerate the application process, reduce manual errors, and enhance transparency and operational efficiency. Therefore, the system is deemed suitable for full-scale implementation to support the digitalization of loan application processes within the company.
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Hening Rifqi Putro Prasojo, Asari, M. R., Ardian Setiawan, & Cahya Bagus Sanjaya. (2025). Implementasi Aplikasi Pengelolaan Pengajuan Peminjaman Melalui Agen pada PT Adira Pandaan. JITSI : Jurnal Ilmiah Teknologi Sistem Informasi, 6(3), 238 - 250. https://doi.org/10.62527/jitsi.6.3.483
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References
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[3] N. B. Puspitasari, “Bot Innovation Realizing Service Excellence: Designing WhatsApp Chatbot as a Customer Service Solution,” JSinbis, vol. 15, no. 2, pp. 221–229, May 2025, doi: 10.14710/vol15iss2pp221-229.
[4] V. Jonatan and A.-A. Igor, “Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp,” 2023, arXiv. doi: 10.48550/ARXIV.2310.10675.
[5] H. Hermiyetti, “Towards the Future: Digital Transformuliration in Indonesian Banking and Its Implications for Economic Growth and Public Prosperity,” International Journal of Economic Literature, vol. 2, no. 2, 2024.
[6] K. Schwaber and J. Sutherland, “The Scrum Guide.” Scrum.org, 2020. [Online]. Available: https://scrumguides.org/
[7] M. A. Maulana, S. R. Natasia, D. A. Prambudi, and T. P. Fiqar, “THE DEVELOPMENT OF QR CODE BASED MOBILE ATTENDANCE INFORMATION SYSTEM USING SCRUM FRAMEWORK,” JUTI, pp. 1–13, Jan. 2022, doi: 10.12962/j24068535.v19i3.a1015.
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[10] R. H. Ardiansyah and A. G. Sulaksono, “Layanan pelanggan berbasis Natural Language Processing melalui chatbot pada aplikasi pesan,” J. of Informuliration System and Application Development, vol. 1, no. 1, pp. 29–37, Mar. 2023, doi: 10.26905/jisad.v1i1.9858.
[11] B. M. Setiawan, Z. Zulhawati, A. L. Maitri, and J. Sutopo, “CHATBOT SERVICES AT EDUCATIONAL INSTITUTIONS WITH CUSTOMER RELATIONSHIP MANAGEMENT,” JICP, Apr. 2019, doi: 10.32535/jicp.v2i1.404.
[12] M. D. Ilyas and C. B. Sanjaya, “Design of an Android‑based New Student and Santri Registration Application at Babul Futuh Islamic Boarding School,” BIOS: Jurnal Informuliratika dan Sains, vol. 1, no. 2, pp. 31–42, 2023.
[13] N. Nasikhah, G. Wijaya, and T. P. Rahayu, “Chatbot for Public Relations and Customer Service in Indonesia: A Diffusion Innovation Study,” Sostek, vol. 21, no. 3, pp. 278–290, Nov. 2022, doi: 10.5614/sostek.itbj.2022.21.3.5.
[14] Dinar Nur Safitri and Muhammad Imron Rosadi, “Rancang Bangun Penyedia Layanan Informulirasi Pelayanan Masyarakat Kantor Kecamatan Pandaan Menggunakan Chatbot,” Journal of Computer Science and Visual Communication Design, vol. 6, no. 2, pp. 74–83, Dec. 2021, doi: 10.55732/jikdiskomvis.v6i2.427.
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[16] H. Kirinuki and H. Tanno, “ChatGPT and Human Synergy in Black-Box Testing: A Comparative Analysis,” 2024, arXiv. doi: 10.48550/ARXIV.2401.13924.
[17] D. Corradini, A. Zampieri, M. Pasqua, and M. Ceccato, “Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs,” 2021, arXiv. doi: 10.48550/ARXIV.2108.08196.
[18] S. Susliansyah, N. Nisan, H. Sumarno, H. Priyono, and L. Maulida, “PROVISION OF MICRO CREDIT AT BANK MANDIRI BOGOR WITH THE FUZZY TSUKAMOTO METHOD,” techno, vol. 17, no. 2, pp. 101–108, Sep. 2020, doi: 10.33480/techno.v17i2.1529.
[19] J. Gawlikowski et al., “A Survey of Uncertainty in Deep Neural Networks,” 2021, arXiv. doi: 10.48550/ARXIV.2107.03342.
[20] H. Fakhravar, “Quantifying Uncertainty in Risk Assessment using Fuzzy Theory,” 2020, arXiv. doi: 10.48550/ARXIV.2009.09334.
[21] P. Weichbroth, “Usability Testing of Mobile Applications: A Methodological Framework,” Applied Sciences, vol. 14, no. 5, p. 1792, Feb. 2024, doi: 10.3390/app14051792.
[22] Humaira, H.; Sonatha, Y.; Prabowo, C.; Amnur, H.; Afyenni, R. Comparative study of type-1 and type-2 fuzzy system in decision support system. Indones. J. Electr. Eng. Inform. (IJEEI) 2018, 6, 323–332
[23] L. N. Azizah, “EVALUASI USABILITY APLIKASI MOBILE IBIS PAINT X MENGGUNAKAN SYSTEM USABILITY SCALE (SUS),” JITET, vol. 12, no. 1, Jan. 2024, doi: 10.23960/jitet.v12i1.3726.
[24] R. ’Aisy, Y. T. Mursityo, and S. H. Wijoyo, “Evaluasi Usability Aplikasi Mobile Sampingan Menggunakan Metode Usability Testing dan System Usability Scale (SUS),” JTIIK, vol. 11, no. 1, pp. 19–26, Feb. 2024, doi: 10.25126/jtiik.20241116613