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.