A Model for Poverty Alleviation Strategies: Decision making management and indicators issues
Abstract
"End poverty in all its forms everywhere", the main
target of the Sustainable Development Goals (SDGs), which
became a commitment that will be achieved in 2030. a model as
one approach to management decision-making strategy in
overcoming the problem of poverty alleviation which is still a
major issue in the definition, measurement, data collection, and
determination of poverty criteria and indicators. The proposed
data management model focuses on decentralized management at
the district level as a local government that serves directly with
citizen. This research aims to produce a model of integration of
poverty data management, and multi criteria decision making
(MCDM) methods in a management system framework that can
manage data criteria and indicators, source data, poverty
alleviation program data, and citizen data. The conceptual
approach to decision-making methods using MCDM in
determining the best alternative citizens who become
recommendations and eligible to get program assistance from the
government. The database models required as part of efforts to
ensure the accuracy of the distribution of subsidies granted by
the government to the poor. In the context of the audit program,
database models can be used as a means to verify the correctness
of information poverty, a reference in the preparation of the
poverty database required as part of efforts to ensure the
accuracy.