Optimizing Mortgage Lending Strategies: A Data-Driven Approach to Enhancing Bank BTN’s Non-Subsidized Credit Model
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Farid Alghofari*
Joyo Winoto
Yudha Heryawan Asnawi
The rising demand for non-subsidized mortgages in Indonesia has intensified competition among banks, necessitating improvements in credit approval efficiency and risk management. This study evaluates the business model of PT Bank Tabungan Negara (Persero) Tbk (Bank BTN) in the non-subsidized mortgage sector using SWOT analysis and the Analytical Hierarchy Process (AHP) to prioritize strategic interventions. The findings highlight decision-making conflicts, weak initial verification processes, and fraud risks as critical weaknesses, with AHP results ranking Credit Decision-Making Integration (0.54) as the most urgent strategic action. Digital transformation (0.52) presents the greatest opportunity, while competition from more efficient banks (0.49) is the most significant external threat. Managerial implications suggest the necessity of process standardization, AI-driven credit risk assessment, and automation in document verification to enhance efficiency and mitigate fraud risks. Benchmarking against leading competitors like BCA and Mandiri underscores the importance of real-time verification and centralized decision-making in reducing non-performing loan (NPL) ratios. The study provides a data-driven roadmap for Bank BTN to enhance its competitiveness, optimize risk management, and improve operational efficiency. However, limitations include the study’s focus on internal process improvements without extensive consideration of external macroeconomic fluctuations and regulatory changes. Future research should incorporate predictive modeling techniques to refine credit evaluations and explore global best practices in mortgage lending.
Bouraima, M. B., Alimo, P. K., Agyeman, S., Sumo, P. D., Lartey-Young, G., Ehebrecht, D., & Qiu, Y. (2023). Africa’s railway renaissance and sustainability: Current knowledge, challenges, and prospects. Journal of Transport Geography, 106, 103487.
Choudhary, P., & Thenmozhi, M. (2024). Fintech and financial sector: ADO analysis and future research agenda. International Review of Financial Analysis, 103201.
Coskun, C., Lee, J., Xiao, J., Graff, G., Kang, K., & Besiktepe, D. (2024). Opportunities and Challenges in the Implementation of Modular Construction Methods for Urban Revitalization. Sustainability (2071-1050), 16(16).
Dezem, V., Sachan, S., Macedo, M., & Andrade Longaray, A. (2024). Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs. Future Business Journal, 10(1), 116.
Dinçer, H., Olgu Akdeniz, O., & Hacioglu, U. (2018). Competitive strategy selection in the European banking sector using a hybrid decision-making approach. Zbornik Radova Ekonomskog Fakulteta u Rijeci: Časopis Za Ekonomsku Teoriju i Praksu, 36(1), 213–242.
Fernández‐López, S., Álvarez‐Espiño, M., Rey‐Ares, L., & Castro‐González, S. (2024). Consumer financial vulnerability: review, synthesis, and future research agenda. Journal of Economic Surveys, 38(4), 1045–1084.
Haryonugroho, E. (2025). Analisis Implementasi Aplikasi Digital Pada Proses Pengadaan Perumahan Menengah Ke Bawah Di Indonesia. Institut Teknologi Sepuluh Nopember.
Hassan, M. K., Khan, A., & Paltrinieri, A. (2021). Islamic finance: a literature review. Islamic Finance and Sustainable Development: A Sustainable Economic Framework for Muslim and Non-Muslim Countries, 77–106.
Hendro, T., Megawati, S., & Noor, Y. L. (2020). Competitive Strategy For Housing Sector Using Swot And Analytical Hierarchy Process: A Case Study Of Royale Sawangan Residence. Russian Journal of Agricultural and Socio-Economic Sciences, 104(8), 189–196.
Huang, F., Li, W., Jin, S., Yue, M., Shuai, C., Cheng, X., & Shuai, Y. (2022). Impact pathways of photovoltaic poverty alleviation in China: Evidence from a systematic review. Sustainable Production and Consumption, 29, 705–717.
Hunjak, T., & Jakovčević, D. (2001). AHP based model for bank performance evaluation and rating. Proceedings of 6th International Symposium on Analytic Hierarchy Process (ISAHP 2001), Berne, Switzerland, 149–158.
Jagesar, S. D. (2022). Scenario-based Roadmapping of Blockchain in the Financial Payments Industry.
Jefry, O. Y. S. (2024). Review of the Financial Health of Bank during Increasing Foreclosed Assets and the Application of Analytic Hierarchy Process (AHP) in Selecting Strategies to Reduce Them.
Jiang, X., Chen, Q., Zhang, J., & Chen, C. (2021). A SWOT-AHP method for the selection of strategies of smart port development. 2021 6th International Conference on Transportation Information and Safety (ICTIS), 191–200.
Karakaya, Ç. (2009). Analitik Hiyerarşik Proses Yöntemi İle Teknoloji Transfer Yöntemi Seçimi.
Khalili, S., Amouzegar, A., Dorost, S. S., Azizi, F., & Salahi-Niri, A. (2025). Assessing the predictive value of elevated triglycerides, triglyceride-glucose index (TyG), and TG/HDL ratios for cardiovascular disease and mortality during 20 years of follow-up: Tehran lipid and glucose study. Clinical Biochemistry, 110891.
Korableva, O., & Kalimullina, O. (2015). Improving of the decision-making methodology on the basis of an advanced approach" BSC+ SWOT+ ANP" in banking. Economics, Law and Political Science, 28–37.
Malhotra, S., Dhanya, K. A., Prathibha, R. M. S., & Mohanty, P. (2025). AI-Driven Credit Assessment in Banks and Non-Banking Finance Companies (NBFCs) in India: A Comprehensive Analysis. In Machine Learning and Modeling Techniques in Financial Data Science (pp. 275–292). IGI Global Scientific Publishing.
Muller, D. P., Holzner, M., & Zurn, S. G. (2025). A Systems Thinking based Sustainable Business Model Framework –An Appropriate Approach for the Design of Sustainable Business Models in Start-Up Consulting. International Business Research, 18(1), 1–54.
Onne, I. E., Chaku, S. E., Adehi, M. U., & Maijamaa, B. (2024). Multi Criteria Decision Making On Bank Performances. American International Journal of Economics and Finance Research, 7(1), 24–34.
Razak, N. S. A. A., & Mahadi, N. (2023). The Implementation of a Centralized Digital Platform on Commercial Properties at Felda. AHIBS-ACT 2023 KUALA LUMPUR, 39.
Salem, M. R. M., Shahimi, S., & Alma’amun, S. (2024). Does mediation matter in explaining the relationship between ESG and bank financial performance? A scoping review. Journal of Risk and Financial Management, 17(8), 350.
Sardana, V., Singhania, S., Chavali, K., & Quttainah, M. (2024). Non-performing assets: navigating the banking woes through an integrative review. International Studies of Management & Organization, 1–25.
Solangi, Y. A., & Magazzino, C. (2025). Building economic stability through effective natural resource management and renewable energy investment in GCC countries. Empirical Economics, 1–29.
Vergara-Perucich, J.-F. (2023). A Systematic Bibliometric Analysis of the Real Estate Bubble Phenomenon: A Comprehensive Review of the Literature from 2007 to 2022. International Journal of Financial Studies, 11(3), 106.
Widawati, C. D., Sebayang, K. D. A., & M, S. (2022). Business Development Strategy Of Small And Medium Enterprises During Covid-19 Condition In The Coffee Shop Culinary Industry Sector In Bogor City. JOURNAL OF MANAGEMENT, ACCOUNTING, GENERAL FINANCE AND INTERNATIONAL ECONOMIC ISSUES (MARGINAL), 1(4), 65–78. https://doi.org/https://doi.org/10.55047/marginal.v1i4.298
Zubair, D., & Tiwary, D. (2023). Early Warning System Model for Non-performing Loans of Emerging Market Fintech Firms. Conference on Pathways to Sustainable Economy: A Banking and Finance Perspective, 221–240.
