| dc.description.abstract | Urban planning is done not only to regulate residential areas, offices,
retail spaces, and green spaces but also to ensure that people (community) who
live in cities have a decent quality of life. Surabaya is a city that was built in the
beginning of Indonesian civilization, so the arrangement of the city of Surabaya is
a bit difficult and has an impact on housing costs. In reality, housing development is
influenced by businesses in the residential development sector. This causes uneven
house types to be built in accordance with the expectations of the government,
which could impact the sustainability of Surabaya. This study is crucial because,
from the data of Bank Indonesia, in supply and demand index for the property
sector in Surabaya has not increased since 2019. Although property price has
decreased since the fourth quarter of 2019 because of the Covid 19 pandemic, the
demand index has not increased that well. This study intends to assist the process
of classifying house types, so the government can make a selection on the house
that will be built by the developer. 14 input attributes and 490 data from Surabaya
property agencies were used in this study. In this study, random forest is used
as the classification technique. The result of the classification model obtained an
accuracy value of 89% and F1 score of 89%. A classification prediction model
that can be used to determine property classification was found through this study. | en_US |
