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Author/Affiliation: Edy BudimanOpen AccessArticle
8 Pages, 1,024 KB 
Sensitivity Analysis of Data Normalization Techniques in Social Assistance Program Decision Making for Online Learning
Abstract:
Data sensitivity analysis using normalization techniques in decision making has an impact on preference values and rankings in the case of social assistance programs for student online. The distribution of assistance is disproportionate and not on target to potential recipients. This study aims to analyze data sensitivity from simple data normalization techniques and linear techniques…
Read More(This article belongs to Section Theory & Methods in Computer Science (CTM))