Machine learning approach to uncover customer plastic bag usage patterns in a grocery store

Plastic bags are used by many people because they are inexpensive, lightweight, durable, and waterproof. Plastic bags, on the other hand, do not break down and can pollute the environment if not handled properly. Indonesia produces a lot of plastic waste and is one of the top ten countries...

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Main Authors: Iman Sudirman, Ivan Diryana Sudirman
Format: Article
Language:English
Published: Growing Science 2023-01-01
Series:International Journal of Data and Network Science
Online Access:http://www.growingscience.com/ijds/Vol7/ijdns_2023_71.pdf
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author Iman Sudirman
Ivan Diryana Sudirman
author_facet Iman Sudirman
Ivan Diryana Sudirman
author_sort Iman Sudirman
collection DOAJ
description Plastic bags are used by many people because they are inexpensive, lightweight, durable, and waterproof. Plastic bags, on the other hand, do not break down and can pollute the environment if not handled properly. Indonesia produces a lot of plastic waste and is one of the top ten countries that has a problem with plastic waste. In this study, we used three months of data of real transactions from a grocery store. This study shows how the decision tree can identify patterns on plastic bag usage at a small grocery store by using demography and products purchase. The attribute weights showed that in the hometown, the total of several products bought were the factors that affected the use of plastic bags.
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spelling doaj.art-823c6c05492e40cf9d6dedd0cddc8a312023-06-13T17:32:17ZengGrowing ScienceInternational Journal of Data and Network Science2561-81482561-81562023-01-01731125113010.5267/j.ijdns.2023.5.011Machine learning approach to uncover customer plastic bag usage patterns in a grocery storeIman SudirmanIvan Diryana Sudirman Plastic bags are used by many people because they are inexpensive, lightweight, durable, and waterproof. Plastic bags, on the other hand, do not break down and can pollute the environment if not handled properly. Indonesia produces a lot of plastic waste and is one of the top ten countries that has a problem with plastic waste. In this study, we used three months of data of real transactions from a grocery store. This study shows how the decision tree can identify patterns on plastic bag usage at a small grocery store by using demography and products purchase. The attribute weights showed that in the hometown, the total of several products bought were the factors that affected the use of plastic bags.http://www.growingscience.com/ijds/Vol7/ijdns_2023_71.pdf
spellingShingle Iman Sudirman
Ivan Diryana Sudirman
Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
International Journal of Data and Network Science
title Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
title_full Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
title_fullStr Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
title_full_unstemmed Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
title_short Machine learning approach to uncover customer plastic bag usage patterns in a grocery store
title_sort machine learning approach to uncover customer plastic bag usage patterns in a grocery store
url http://www.growingscience.com/ijds/Vol7/ijdns_2023_71.pdf
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AT ivandiryanasudirman machinelearningapproachtouncovercustomerplasticbagusagepatternsinagrocerystore