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The application of data science on food waste problem: a preliminary work

Food waste refers to food that is fit for human consumption, but is discarded after it is kept past its expiration date or allowed to spoil due to factors like food spoilage, market surplus, and individual shopping and eating habits. It is a common problem worldwide, including in Malaysia. In realit...

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Main Authors: Ramlan, Amir Syazwan, Mohamad Dzain, Iman Zulhakim, Hassan, Raini
Format: Article
Language:English
Published: IIUM Press 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/105862/1/105862_The%20application%20of%20data%20science.pdf
http://irep.iium.edu.my/105862/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/352
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spelling my.iium.irep.1058622023-08-07T07:21:57Z http://irep.iium.edu.my/105862/ The application of data science on food waste problem: a preliminary work Ramlan, Amir Syazwan Mohamad Dzain, Iman Zulhakim Hassan, Raini QA75 Electronic computers. Computer science Food waste refers to food that is fit for human consumption, but is discarded after it is kept past its expiration date or allowed to spoil due to factors like food spoilage, market surplus, and individual shopping and eating habits. It is a common problem worldwide, including in Malaysia. In reality, one-third of the total food generated is wasted or lost annually, and at least 820 million people worldwide do not have sufficient food. This study attempts to observe the current trends in the amount of food waste generated in Malaysia so that the public awareness can be increased. This paper also wishes to study about the undernourishment crisis for lowering the extreme hunger issues and to reduce the food losses especially rice, along the production and supply chain. This study indirectly aligns with sustainable development goals (SDG) related to zero hunger, and responsible consumption and production. Initially, the data science processes were implemented including data collection, data pre-processing, data cleaning, data exploration and selection, data wrangling, and exploratory data analysis (EDA). In Japan, the food waste issue was not given enough attention. It reflects the significant upswing in its early graph, which then began to decline. On the other hand, the food waste issue in Korea initially exhibited a sharp surge before a progressive drop. Regarding the undernourishment issue, almost all Southeast Asian nations nowadays are putting a lot of effort into eradicating or drastically lowering undernutrition among their citizens compared to the past. Rice is the common food type in Southeast Asia, which means it gets discarded frequently. The residents of Southeast Asia regard rice as a main food source. IIUM Press 2023-01-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/105862/1/105862_The%20application%20of%20data%20science.pdf Ramlan, Amir Syazwan and Mohamad Dzain, Iman Zulhakim and Hassan, Raini (2023) The application of data science on food waste problem: a preliminary work. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (1). pp. 56-63. E-ISSN 2462-229X https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/352 10.31436/ijpcc.v9i1.352
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ramlan, Amir Syazwan
Mohamad Dzain, Iman Zulhakim
Hassan, Raini
The application of data science on food waste problem: a preliminary work
description Food waste refers to food that is fit for human consumption, but is discarded after it is kept past its expiration date or allowed to spoil due to factors like food spoilage, market surplus, and individual shopping and eating habits. It is a common problem worldwide, including in Malaysia. In reality, one-third of the total food generated is wasted or lost annually, and at least 820 million people worldwide do not have sufficient food. This study attempts to observe the current trends in the amount of food waste generated in Malaysia so that the public awareness can be increased. This paper also wishes to study about the undernourishment crisis for lowering the extreme hunger issues and to reduce the food losses especially rice, along the production and supply chain. This study indirectly aligns with sustainable development goals (SDG) related to zero hunger, and responsible consumption and production. Initially, the data science processes were implemented including data collection, data pre-processing, data cleaning, data exploration and selection, data wrangling, and exploratory data analysis (EDA). In Japan, the food waste issue was not given enough attention. It reflects the significant upswing in its early graph, which then began to decline. On the other hand, the food waste issue in Korea initially exhibited a sharp surge before a progressive drop. Regarding the undernourishment issue, almost all Southeast Asian nations nowadays are putting a lot of effort into eradicating or drastically lowering undernutrition among their citizens compared to the past. Rice is the common food type in Southeast Asia, which means it gets discarded frequently. The residents of Southeast Asia regard rice as a main food source.
format Article
author Ramlan, Amir Syazwan
Mohamad Dzain, Iman Zulhakim
Hassan, Raini
author_facet Ramlan, Amir Syazwan
Mohamad Dzain, Iman Zulhakim
Hassan, Raini
author_sort Ramlan, Amir Syazwan
title The application of data science on food waste problem: a preliminary work
title_short The application of data science on food waste problem: a preliminary work
title_full The application of data science on food waste problem: a preliminary work
title_fullStr The application of data science on food waste problem: a preliminary work
title_full_unstemmed The application of data science on food waste problem: a preliminary work
title_sort application of data science on food waste problem: a preliminary work
publisher IIUM Press
publishDate 2023
url http://irep.iium.edu.my/105862/1/105862_The%20application%20of%20data%20science.pdf
http://irep.iium.edu.my/105862/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/352
_version_ 1775621710999977984
score 13.211869

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