Abstract
Home is one of the basic needs for humans, where the house serves as a place to shelter and shelter. Apart from having a function as a place to live, the house also functions as a place for fostering and chatting with a family. Poverty is a condition where a person is unable to fulfill his basic needs. In Nagori Tangga Batu there are still many people who have homes that are not habitable. Based on these problems, the government organized a poverty alleviation program through a home renovation route for residents of Nagori Tangga Batu village. In determining whether or not a house is suitable for renovation, it is necessary to use an Artificial Neural Network using the Backpropogation algorithm to determine whether or not the house of Nagori Tangga Batu residents is eligible for home renovation assistance. The best research with Artificial Neural Network method in determining the feasibility of recipients of home renovation assistance using the backpropagation algorithm is the model 6-3-1 with the repetition process (epoch) during training with epoch value = 1673 and MSE achievement during testing with MSE = 0.00797068 . This research is expected to be a reference for further researchers relating to the user algorithm used.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Prosiding Seminar Nasional Riset Information Science (SENARIS)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
