Factors Affecting The Implementation of Clean and Healthy Livingbehavior at Household Level (Observational Study at Sungai Paring Village, Martapura Kota District)

Khairiyati, Laily; Rahman, Fauzie; Udin, Arnila; Anhar, Vina Yulia

doi:10.37506/v10/i12/2019/ijphrd/192174

Cited by 1 publication

(1 citation statement)

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“…Comparably Khairiyati et al conducted an observational study in Sungai Paring Village on the factors that influence CHLB implementation at the household level. The findings of their study revealed that there was no significant relationship between knowledge, attitudes, and distance to healthcare facilities and CHLB implementation at the household level, but support from health workers and community leaders was related to CHLB implementation [13]. These findings illustrate the variety and complexity of factors impacting CHLB in different locales.…”

Section: Introductionmentioning

confidence: 96%

Data-Driven Analytical Model Using Machine Learning Algorithms

Al Azies,

Ariyanto,

Dikaputra

2024

International Journal of Advances in Data and Information Syste

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The objective of this article is to use machine learning technology, specifically the Support Vector Machine (SVM) approach with a linear kernel, to analyze and predict clean and healthy living behavior (CHLB) in coastal dwellings in Surabaya City. To train the SVM model, researchers collect health and environmental data from the region. As a result, our model predicts house CHLB status with an 83% accuracy rate. The most important variables in this prediction are the amount of community access to appropriate sanitary facilities, the health of households, and the sustainability of public areas that meet health requirements. These findings have crucial implications for attempts to improve CHLB in Surabaya's coastal areas in compliance with the National Medium-Term Development Plan (RPJMN) aims. Furthermore, the findings of this study can be used to build more targeted and long-term health policies in coastal communities.

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Section: Introductionmentioning

confidence: 96%