Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method

Authors

  • Rafli Fitriawan STMIK KAPUTAMA
  • Rusmin Saragih STMIK KAPUTAMA
  • Indah Ambarita STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v4i1.677

Keywords:

Receiving Sosial Assistence, Village Residents Receiving, Linear Regression

Abstract

This study aims to analyze the recipients of social assistance in Banyumas Village using the simple linear regression method. The research examines how household income affects the amount of social assistance received. Data was collected from the Banyumas Village Office, including information on income and the amount of social assistance received by residents. The results show a negative relationship between household income and the amount of assistance received, where higher income leads to smaller assistance. The model also demonstrates good accuracy with an average prediction error (MAPE) of 9.38%. Additionally, an R² value of 0.999972 indicates that the model can explain almost all variations in the data. This study provides valuable insights into the effectiveness of the social assistance program in Banyumas Village and to help improve the program in the future.

 

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Published

2024-10-15

How to Cite

Rafli Fitriawan, Saragih, R., & Ambarita, I. (2024). Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 532–537. https://doi.org/10.59934/jaiea.v4i1.677