Abstract:
The problem of poverty in Indonesia is very urgent to be addressed. Especially in areas
that are difficult for the government to reach, one of which is Kubu Babussalam
District, Rokan Hilir. One of the general characteristics of the physical condition of
poor people is that they do not have adequate access to basic environmental
infrastructure and facilities, with the quality of housing and settlements being far below
adequate, as well as uncertain livelihoods. Almost all government departments spend
funds to help reduce poverty. Especially regarding houses that are unfit for habitation.
In selecting a livable house, what is needed is criteria. Criteia are requirements for
selecting a habitable house. The aim achieved is to create a decision support system
that can help and provide information for recipients of livable housing assistance. The
problem solving method used in this system is by using the Analytical Hierarchy
Process (AHP) method. In this method, data collection, data processing, data analysis,
system design, implementation and system testing will be carried out. Data collection
and processing was obtained from observations, interviews and questionnaires totaling
60 data. Then the data analysis carried out is determining the eigen criteria and subcriteria,
determining the calculation results between the eigen criteria and sub-criteria
and finally ranking. The results obtained are that the system can produce alternative
ranking values for potential recipients of livable housing assistance which have been
ranked from 3 highest to lowest with ranking values namely 0.485, 0.474 and 0.474.
