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Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules

Malaysia relies heavily on food imports, making it vulnerable to global market fluctuations and supply chain disruptions. Knowing which agri-food com-modities are often consumed together or have complementary markets can inform export strategies and boost the agricultural sector’s economic contribut...

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Main Authors: Bonaventure, Boniface, Geoffrey Harvey, Tanakinjal, Rayner, Alfred, Mori, Kogid, Stephen L., Sondoh, Assis, Kamu, Alesia Sigang, Gugkang, Anath Rau, Krishnan, Nalini, Arumugam, Nolila Mohd, Nawi, Venus Liew, Khim Sen, Harry, Entebang
Format: Proceeding
Language:English
Published: 2024
Subjects:
HA Statistics
S Agriculture (General)
Online Access:http://ir.unimas.my/id/eprint/47346/1/Analyzing%20Purchasing%20Patterns%20of%20Agri-Food%20Commodities%20for%20Every%20State%20in%20Malaysia%20Using%20Association%20Rules.pdf
http://ir.unimas.my/id/eprint/47346/
https://link.springer.com/chapter/10.1007/978-981-97-2977-7_37
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spelling my.unimas.ir-473462025-01-16T00:47:30Z http://ir.unimas.my/id/eprint/47346/ Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules Bonaventure, Boniface Geoffrey Harvey, Tanakinjal Rayner, Alfred Mori, Kogid Stephen L., Sondoh Assis, Kamu Alesia Sigang, Gugkang Anath Rau, Krishnan Nalini, Arumugam Nolila Mohd, Nawi Venus Liew, Khim Sen Harry, Entebang HA Statistics S Agriculture (General) Malaysia relies heavily on food imports, making it vulnerable to global market fluctuations and supply chain disruptions. Knowing which agri-food com-modities are often consumed together or have complementary markets can inform export strategies and boost the agricultural sector’s economic contribution. Market basket analysis can be used to provide valuable insights into the relationships between different items in a dataset and can be used for decision-making, recommendation systems, and optimizing business processes. The aim of this paper is to investigate the relationships between agri-food commodities in Malaysia for 13 states and 2 districts using Association rules, as it provides insights into consumer preferences and behavior. The datasets were collected from February 2022 through January 2023 from 13 states and 3 federal territories, which consists of 56,878 number of transactions recorded with 324 number of unique items. Based on the findings of this paper, it can be observed that the extracted rules for every state focuses on different types of agri-food commodities. These extracted rules can be applied for crop planning and production optimization, diversification of agricultural products, supply chain effficiency and local and sustainable agriculture activities. For future works, a more comprehensive validation works is recommended to be conducted to validate these extracted rules so that they can be applied by retailers in each state in Malaysia. 2024 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/47346/1/Analyzing%20Purchasing%20Patterns%20of%20Agri-Food%20Commodities%20for%20Every%20State%20in%20Malaysia%20Using%20Association%20Rules.pdf Bonaventure, Boniface and Geoffrey Harvey, Tanakinjal and Rayner, Alfred and Mori, Kogid and Stephen L., Sondoh and Assis, Kamu and Alesia Sigang, Gugkang and Anath Rau, Krishnan and Nalini, Arumugam and Nolila Mohd, Nawi and Venus Liew, Khim Sen and Harry, Entebang (2024) Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules. In: Proceedings of the 4th International Conference on Advances in Computational Science and Engineering (ICACSE 2023), 16–17 December, 2024, Manila, Philippines. https://link.springer.com/chapter/10.1007/978-981-97-2977-7_37
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic HA Statistics
S Agriculture (General)
spellingShingle HA Statistics
S Agriculture (General)
Bonaventure, Boniface
Geoffrey Harvey, Tanakinjal
Rayner, Alfred
Mori, Kogid
Stephen L., Sondoh
Assis, Kamu
Alesia Sigang, Gugkang
Anath Rau, Krishnan
Nalini, Arumugam
Nolila Mohd, Nawi
Venus Liew, Khim Sen
Harry, Entebang
Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
description Malaysia relies heavily on food imports, making it vulnerable to global market fluctuations and supply chain disruptions. Knowing which agri-food com-modities are often consumed together or have complementary markets can inform export strategies and boost the agricultural sector’s economic contribution. Market basket analysis can be used to provide valuable insights into the relationships between different items in a dataset and can be used for decision-making, recommendation systems, and optimizing business processes. The aim of this paper is to investigate the relationships between agri-food commodities in Malaysia for 13 states and 2 districts using Association rules, as it provides insights into consumer preferences and behavior. The datasets were collected from February 2022 through January 2023 from 13 states and 3 federal territories, which consists of 56,878 number of transactions recorded with 324 number of unique items. Based on the findings of this paper, it can be observed that the extracted rules for every state focuses on different types of agri-food commodities. These extracted rules can be applied for crop planning and production optimization, diversification of agricultural products, supply chain effficiency and local and sustainable agriculture activities. For future works, a more comprehensive validation works is recommended to be conducted to validate these extracted rules so that they can be applied by retailers in each state in Malaysia.
format Proceeding
author Bonaventure, Boniface
Geoffrey Harvey, Tanakinjal
Rayner, Alfred
Mori, Kogid
Stephen L., Sondoh
Assis, Kamu
Alesia Sigang, Gugkang
Anath Rau, Krishnan
Nalini, Arumugam
Nolila Mohd, Nawi
Venus Liew, Khim Sen
Harry, Entebang
author_facet Bonaventure, Boniface
Geoffrey Harvey, Tanakinjal
Rayner, Alfred
Mori, Kogid
Stephen L., Sondoh
Assis, Kamu
Alesia Sigang, Gugkang
Anath Rau, Krishnan
Nalini, Arumugam
Nolila Mohd, Nawi
Venus Liew, Khim Sen
Harry, Entebang
author_sort Bonaventure, Boniface
title Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
title_short Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
title_full Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
title_fullStr Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
title_full_unstemmed Analyzing Purchasing Patterns of Agri-Food Commodities for Every State in Malaysia Using Association Rules
title_sort analyzing purchasing patterns of agri-food commodities for every state in malaysia using association rules
publishDate 2024
url http://ir.unimas.my/id/eprint/47346/1/Analyzing%20Purchasing%20Patterns%20of%20Agri-Food%20Commodities%20for%20Every%20State%20in%20Malaysia%20Using%20Association%20Rules.pdf
http://ir.unimas.my/id/eprint/47346/
https://link.springer.com/chapter/10.1007/978-981-97-2977-7_37
_version_ 1822896179990495232
score 13.244413

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