| dc.description.abstract | A prevailing phenomenon indicates that government appraisers at the State Asset and Auction Service Office (KPKNL) in Medan still employ conventional methods for the
rental valuation of Automated Teller Machine (ATM) placements. This practice
contradicts the Decree of the Director General of State Assets Number 547/KN/2022,
which mandates the use of the Valuation Component and Survey List (DKPS) model
through a desktop valuation approach. Addressing this discrepancy, this study aims to
analyze the factors that influence the determination of ATM placement rental values in
Medan City, thereby providing a basis for the development of a more objective valuation
model.This research utilizes a quantitative approach with multiple regression analysis to
identify the influence of variables such as distance to the Central Business District (CBD),
transaction year, leased object type, ATM space type, lease period, accessibility, and area
designation. The findings reveal that distance to the CBD has a significant negative effect
on rental value. Conversely, transaction year, the type of leased object, space type, lease
period, and designation as a shopping center or public service area exhibit a positive and
significant influence. While accessibility and road type showed a positive correlation,
their effects were not statistically significant. The resulting regression model achieved an
R-squared value of 96.37%, demonstrating its excellent capability in explaining the
variance in rental values.These findings provide a robust empirical foundation for
government appraisers to transition to the regulated desktop valuation method.
Moreover, the results offer critical insights for ATM owners in optimizing location
selection. This study recommends that the significant factors identified be integrated into
the DKPS model to enhance the accuracy, efficiency, and consistency of ATM rental
valuations at KPKNL Medan, ultimately supporting the financial performance of asset
owners. | en_US |
