Simulation of mortgage installment payments shows accurate calculations in home ownership credit, indicating improved financial planning for prospective debtors.
Home Ownership Credit (KPR) is a popular solution for home ownership through installment systems; however, the complexity of interest and tenor calculations often hinders prospective debtors from fully understanding their financial obligations. PT Rizky Agung Berkah, as a property company, requires a KPR installment simulation system that is efficient, accurate, and easy to understand. This study aims to implement the Linear Congruent Method (LCM) in a web-based KPR installment simulation to generate dynamic installment estimates based on Down Payment (DP) values, random interest rates, and loan tenors. The methodology includes needs analysis, system design using UML, application development with PHP and MySQL, and testing with real sample data. The results show that the system is capable of calculating interest and installments efficiently and displays the simulation results in a detailed installment table. The system also produces varied simulations based on the iteration of random numbers generated by LCM, providing flexibility in payment scenarios. In conclusion, the use of LCM in KPR simulation not only improves the accuracy of calculations but also helps prospective debtors better understand and plan their finances.
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Nasution et al. (2025) studied this question.
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