Prediction of the Community Welfare in North Wangurer Village Using Multiple Linear Regression

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Liza Wikarsa
Steven Pandelaki
Karen Sumajouw

Abstract

The level of social welfare in a country can determine the quality and condition of the country itself. North Wangurer sub-district is in Madidir District, Bitung City, with a population of around 750 households. The level of community welfare in this sub-district is solely based on the monthly income obtained from each community which is regarded to be ineffective. Thus, this research aimed to predict the level of community welfare at this sub-district using the multiple linear regression method. It was hoped that this research could provide insights for the North Wangurer sub-district office to make more effective policies/decisions to increase the level of welfare in hope of eradicating poverty and equitably distributing social assistance to the targetted households. There were four independent variables employed in this research such as income, education, occupation, and the number of family members. Meanwhile, the dependent variable was the level of community welfare consisting of Pra-KS, KS-I, KS-II, KS-III, and KS-III Plus as acknowledged by BKKBN. The results revealed that the level of community welfare for the North Wangurer sub-district was in Prosperous Family III Plus (Level 5). Most of the families (98,7%) in this sub-district can meet all basic needs, social psychology and its development, and self-accountability (self-esteem).

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How to Cite
Wikarsa, L., Pandelaki, S., & Sumajouw, K. (2023). Prediction of the Community Welfare in North Wangurer Village Using Multiple Linear Regression. Jurnal Pekommas, 8(2), 107–118. https://doi.org/10.56873/jpkm.v8i2.5094
Section
Informatics
Author Biographies

Liza Wikarsa, Universitas Katolik De La Salle Manado

Informatics Engineering Study Programmee

Faculty of Engineering

 

Steven Pandelaki, Universitas Katolik De La Salle Manado

Informatics Engineering Study Programme

Faculty of Engineering

Universitas Katolik De La Salle Manado

Karen Sumajouw, Universitas Katolik De La Salle Manado

Informatics Engineering Study Programme

Faculty of Engineering

Universitas Katolik De La Salle Manado

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