| Summary: | Land value is subject to change. For institution such as government, change
in land value should be updated for various interest in valuation such as to
determine state-owned goods, so state wealth from land asset may be determined.
Government of Papua Province has not done updating its land asset. Therefore, it
is necessary a prediction model can calculate land value (dependent variabel) in a
location based on variables that are theoretically factors shaping land value
(independent variable). Independent variable in this research is land distance to
Central Business Distric (CBD), street width, land area and dummy of road
access.
Analytical tool used in this research was spatial analysis and multiple
regression analysis. Spatial analysis was used to obtain distribution map of land
asset the government own in North Jayapura Distric, Jayapura Municipality with
overlay technique and buffering technique to identify distribution of average land
value per meter square around CBD. Multiple regression analysis used log-lin
model to identify effect of independent variables on land value.
Result of the research using spatial analysis indicate that the most land lot is
in village in which CBD located and land lot around CBD (for example distance
with radius < = 1000m/1 Km), have average land value per meter square above
one million Rupiah. Meanwhile, land lot with distance > 1 Km from CBD has
average land value per meter square less than one million Rupiah. Multiple
regression analysis with log-lin model indicated that of four independent
variables, only land distance to CBD significantly affect land value with 95%
confidential level. It indicates if land distance to CBD is farther, the land value per
meter square will decrease.
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