Clustering the E-Government Services Awareness of the Local Government Unit through K-Means Algorithm
Open Access
Journal Type:Research Article
Subject Field:Data Mining and Knowledge Discovery
Downloads:794
Publish Date:April 4, 2021 8:00 pm
Views:1025
Volume:71, Issue: 1, February, 2021
Subject:Computer Science & Electrical
Pages:146-155
Abstract
The Department of Interior and Local Government (DILG) of the Republic of the Philippines utilized performance tools to measure the local government units (LGUs) to its community. This undertaking is an initiative of the DILG to ensure that the citizens feel the service of the LGUs and to ensure the level of awareness. The study utilized the dataset of gender and employment status queries from respondents who utilize the performance tool and use K-Means clustering to provide the same cluster of people's awareness by gender and employment status. As a result, the males are more aware of services like governance and response, public works and infrastructure, environmental management, and economic and investment promotion. On the other hand, females are more aware of services like health, support to education, and social welfare. In terms of employment status, employed are aware of services like governance and response, public works and infrastructure, and economic and investment promotion. Contrarily, the unemployed are aware of services like health, education, social welfare, and environmental management.