Usability Evaluation for Mobile-Based Nutritional Food Recommender System

COVID-19 was designated as a global pandemic by WHO and Government Regulation of the Republic of Indonesia Number 21 of 2020 concerning Large-Scale Social Restrictions for the handling of Corona Virus Disease 2019 (COVID-19). Eating healthy foods with balanced nutrition can increase the body's...

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Main Authors: Ratih Kartika Dewi, Tri Afirianto, Eva Putri Arfiani, Nabila Fairuz Zahra
Format: Article
Language:English
Published: University of Brawijaya 2023-04-01
Series:JITeCS (Journal of Information Technology and Computer Science)
Online Access:https://jitecs.ub.ac.id/index.php/jitecs/article/view/385
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author Ratih Kartika Dewi
Tri Afirianto
Eva Putri Arfiani
Nabila Fairuz Zahra
author_facet Ratih Kartika Dewi
Tri Afirianto
Eva Putri Arfiani
Nabila Fairuz Zahra
author_sort Ratih Kartika Dewi
collection DOAJ
description COVID-19 was designated as a global pandemic by WHO and Government Regulation of the Republic of Indonesia Number 21 of 2020 concerning Large-Scale Social Restrictions for the handling of Corona Virus Disease 2019 (COVID-19). Eating healthy foods with balanced nutrition can increase the body's immunity during a COVID-19 pandemic. Since many foods that sold freely are not guaranteed in nutritional ingredients, cooking becomes a better alternative. system is a mobile application that provides a recommendation of healthy food recipe by using the Simple Additive Weighting (SAW) algorithm, which has been studied in the previous research of recipe recommendation and gives significant result. Previous research has not examined the appropriate variables and the data are still general food. We conducted a user study to measure the usability of the proposed system. The result of usability testing shows that there is a significant increase in SUS score from 63.5 to 87.
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spelling doaj.art-15584a1afacd4e3787f916023ce6af052024-03-22T08:34:11ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242023-04-018110.25126/jitecs.202381385Usability Evaluation for Mobile-Based Nutritional Food Recommender SystemRatih Kartika Dewi0Tri Afirianto1Eva Putri Arfiani2Nabila Fairuz Zahra3Brawijaya University, MalangBrawijaya University, MalangBrawijaya University, MalangBrawijaya University, Malang COVID-19 was designated as a global pandemic by WHO and Government Regulation of the Republic of Indonesia Number 21 of 2020 concerning Large-Scale Social Restrictions for the handling of Corona Virus Disease 2019 (COVID-19). Eating healthy foods with balanced nutrition can increase the body's immunity during a COVID-19 pandemic. Since many foods that sold freely are not guaranteed in nutritional ingredients, cooking becomes a better alternative. system is a mobile application that provides a recommendation of healthy food recipe by using the Simple Additive Weighting (SAW) algorithm, which has been studied in the previous research of recipe recommendation and gives significant result. Previous research has not examined the appropriate variables and the data are still general food. We conducted a user study to measure the usability of the proposed system. The result of usability testing shows that there is a significant increase in SUS score from 63.5 to 87. https://jitecs.ub.ac.id/index.php/jitecs/article/view/385
spellingShingle Ratih Kartika Dewi
Tri Afirianto
Eva Putri Arfiani
Nabila Fairuz Zahra
Usability Evaluation for Mobile-Based Nutritional Food Recommender System
JITeCS (Journal of Information Technology and Computer Science)
title Usability Evaluation for Mobile-Based Nutritional Food Recommender System
title_full Usability Evaluation for Mobile-Based Nutritional Food Recommender System
title_fullStr Usability Evaluation for Mobile-Based Nutritional Food Recommender System
title_full_unstemmed Usability Evaluation for Mobile-Based Nutritional Food Recommender System
title_short Usability Evaluation for Mobile-Based Nutritional Food Recommender System
title_sort usability evaluation for mobile based nutritional food recommender system
url https://jitecs.ub.ac.id/index.php/jitecs/article/view/385
work_keys_str_mv AT ratihkartikadewi usabilityevaluationformobilebasednutritionalfoodrecommendersystem
AT triafirianto usabilityevaluationformobilebasednutritionalfoodrecommendersystem
AT evaputriarfiani usabilityevaluationformobilebasednutritionalfoodrecommendersystem
AT nabilafairuzzahra usabilityevaluationformobilebasednutritionalfoodrecommendersystem