Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Jurnal Disrupsi Bisnis Indonesian Journal of Industrial Engineering & Management Bulletin of Computer Science Research e-Jurnal Apresiasi Ekonomi
Paramita, Astriyani Sandya
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Bulletin of Computer Science Research

 1 
Sistem Pendukung Keputusan Smart Leasing Value Asset dengan Perhitungan NPV dan NAL Berbasis Website Sibuea, Febry P J; Paramita, Astriyani Sandya
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.897

Abstract

The process of evaluating the feasibility of asset financing in business organizations is often carried out manually, making it prone to calculation errors, data inconsistencies, and delays in decision-making. This condition creates the need for a system capable of providing structured and objective analysis, particularly in determining whether an asset is more feasible to buy or lease. This study aims to develop a Smart Leasing Value Asset Decision Support System that integrates two financial analysis methods: Net Present Value (NPV) to calculate the present value of future cash flows and Net Advantage to Lease (NAL) to compare the economic benefits of purchasing and leasing an asset. The development method used is Rapid Application Development, which allows for rapid system development through a prototype approach and active user involvement. The implementation results show that the tested asset has a positive NPV value, thus being considered feasible, while a negative NAL value indicates that the purchase option is more profitable than leasing. These findings prove that the system is capable of producing accurate calculations, consistent with manual calculations, and effective in improving the speed and quality of decision-making. This system has the potential for further development by adding sensitivity analysis and real-time financial data integration.
Co-Authors Bangun, Pasti Immanuel Fauziyah, Yunda Shofa Kasduni, Kasduni Merdiyanti, Angelia Rohman, Gilang Nur Sibuea, Febry P J Solih, Edwin Sahrial Sumasto, Fredy Suroso, Finna Syaeful, Muhamad Eryl Saputra