  Boarding house is the most important requirement, especially for college
students who live far away from the city, place of his origin or house.
However, the problem we see now is the uneven distribution of study places in
Indonesia which 75% of the best top educational institutions come from the
island of Java. So, students who are looking for boarding houses rent requires
more effort in comparing the various aspects desired. They need to survey one
by one to the boarding house they want, even though they can survey online, it
still requires more effort to pay attention to the desired facilities one by
one. Therefore, we then created an Mobile Application that can predict prices
based on student needs by comparing several variables, namely city, area, type
of boarding house, and facilities. So, students can easily estimate the ideal
price. The results of this study prove that we have succeeded in predicting
prices for boarding houses rent well based on the variables we have determined,
and modeling that variables using Deep Neural Network Regression.
