Abstract:
PKH is one of the programs to accelerate poverty alleviation and develop a
social security system through the provision of conditional cash assistance to Very Poor
Households (RTSM) in an effort to improve the quality of Human Resources (HR),
especially in the health and education sectors. Therefore assistance must be given to
recipients who are worthy and deserve it. However, there are still problems in the data
processing because of the large amount of data and criteria that must be considered for
the selection of PKH beneficiaries, so the process takes a long time. For this reason, a
decision support system is needed to make it easier to make recommendations on PKH
assistance recipients. This study aims to create a decision support system using the
Multi Objective Optimization on the Basis of Ratio Analysis method for PKH
beneficiaries. The system that was created was designed using UML Diagrams, the
system was built using the CodeIgniter Framework with the PHP programming
language and MysQL as the database. This study used sample data of 170 poor
population data, it was concluded that as many as 109 people were declared eligible,
and 61 people were declared unfit.
