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The Prediction Model of Human Household Behavior of the Refuse Management System with Artificial Neural Network

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dc.contributor.authorRohana Sham
dc.contributor.authorNor Aziyatul Izni
dc.contributor.authorNor Asiah Mahmood
dc.contributor.authorNur Ilyana Ismarau Tajuddin
dc.date.accessioned2024-06-16T06:30:24Z
dc.date.available2024-06-16T06:30:24Z
dc.date.issued2023
dc.date.submitted2023-12-28
dc.description.abstractEfficient management of household trash is essential to maintaining a sustainable society and a good environment. Low community engagement in environmental cleanup has led to dozens of unused refuse management apps. Today’s refuse management system lacks a secure identification protocol for identifying users, especially those who have signed up for the app. Predicting and understanding human household behavior is needed, and it remains a complex challenge. Therefore, this study aims to predict human household behavior in the refuse management system using artificial neural networks (ANN). The work involved in developing the prediction model included data collection, data pre-processing, neural network model development, and performance validation. There are 505 participants, urban residents in Kuala Lumpur obtained for this study. ANN with one hidden layer is developed in MATLAB. The results show that the accuracy of the developed model is 83%. It indicates that ANN performed well in predicting household behavior in the refuse management system.
dc.identifier.epage231
dc.identifier.issn2948-4189
dc.identifier.issue1
dc.identifier.spage210
dc.identifier.urihttps://www.majcafe.com/wp-content/uploads/2023/11/Vol-31-2023-Paper-8.pdf
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/19599
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85178412425&origin=resultslist&sort=plf-f&src=s&sid=17579fb12657291aa4f3cf275c9542cf&sot=b&sdt=b&s=TITLE-ABS-KEY%28The+Prediction+Model+of+Human+Household+Behavior+of+the+Refuse+Management+System+with+Artificial+Neural+Network%29&sl=126&sessionSearchId=17579fb12657291aa4f3cf275c9542cf&relpos=0
dc.identifier.volume31
dc.language.isoen_US
dc.publisherMalaysian Association of Consumer and Family Economics (MACFEA)
dc.relation.ispartofMalaysian Journal of Consumer and Family Economics (MAJCAFE)
dc.relation.issn2948-4189
dc.relation.journalMalaysian Journal of Consumer and Family Economics (MAJCAFE)
dc.subjectartificial neural networks
dc.subjectrefuse management system
dc.subjecthousehold behavior
dc.subjectblockchain
dc.subjectprediction
dc.titleThe Prediction Model of Human Household Behavior of the Refuse Management System with Artificial Neural Network
dc.typetext::journal::journal article::research article
dspace.entity.typePublication
oaire.citation.endPage231
oaire.citation.startPage210
oaire.citation.volume31
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationUniversiti Sains Islam Malaysia

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