Prediction analysis of the happiness ranking of countries based on macro level factors

Lubis, Muharman and Handayani, Dini Oktarina Dwi and Lubis, Arif Ridho (2022) Prediction analysis of the happiness ranking of countries based on macro level factors. IAES International Journal of Artificial Intelligence (IJ-AI), 11 (2). pp. 666-678. ISSN 2089-4872 E-ISSN 2252-8938

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Abstract

Happiness is an essential universal human goal in their life that can improve the quality of life. Since the introduction of positive psychology, the primary consideration has been pointed out to the study of the role from certain factors in predicting the happiness, especially the advancement of technology that allows computer-mediated to be part of human interaction. It provides a multidimensional approach and indirect influence to the human expression and communication. The project investigates what it takes to build a happy country by analysing on the relationship between the happiness ranking of countries and their macro level factors. The World Happiness Report 2019 is used coupled with Python programming for visualizing and extracting information from the dataset to better understand the bigger picture.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Happiness; Machine learning; Macro level factor; Prediction analysis
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Dini Handayani
Date Deposited:	08 Jun 2022 08:50
Last Modified:	29 Aug 2022 11:56
URI:	http://irep.iium.edu.my/id/eprint/98237

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