(Similarity) Mapping Acceptance of Indonesian Organic Food Consumption under Covid-19 Pandemic using Sentiment Analysis of Twitter Dataset

Rintyarna, Bagus Setya (2021) (Similarity) Mapping Acceptance of Indonesian Organic Food Consumption under Covid-19 Pandemic using Sentiment Analysis of Twitter Dataset. Journal of Theoretical and Applied Information Technology.

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Abstract

Computational intelligence based technique becomes popular lately for many application including revealing
trend in healthy food consumption. Healthy alternative food that insures the basic physical needs of mankind
becomes more popular among people worldwide nowadays. Organic food is believed as alternative food
providing sustainable benefit for mankind especially under the pandemic situation that body urgently needs
to maintain optimal immune system. Organic food helps to supply sufficient nutrients that is important for
body to cope with virus infection. Previously, many studies have been conducted worldwide to exhibit
organic foods consumption pattern. The approach can be categorized into two types. The first approach relies
on pencil survey and focus group discussion involving a certain number of respondents. The analysis
commonly applies statistical techniques. This approach has been considered time consuming and costly. A
more sophisticated and time saving technique commonly make use social media platform as the primary tool
for revealing the pattern. This study is an initial study to provide model of Indonesian organic food consumer
considering that Indonesia is potential for both producer and consumer of organic food. The analysis is based
on Twitter dataset and applying computational based technique using Lexicon Based Sentiment Analysis
using VADER. Beforehand, we perform text analysis using Force Atlas2 to reveal spatial representation of
both attraction force and repulsion force of words. To extent VADER, we employ Indonesian sentiment
lexicon namely INSET. The sentiment analysis result confirms that 64% user accept positively organic food
as healthy dietary food highlighting the importance of organic food for people to maintain optimal immune
system in Covid-19 Pandemic Circumstances. Most of the user that positively post organic food, associate
the food with “kesehatan”, “praktis”, and “diet”. Meanwhile, the rest post negatively and regard organic
food as having expensive price compared with another kind of food

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Item Type:	Peer Review
Keywords/Kata Kunci:	Sentiment Analysis, Text Mining, Lexicon-Based, Organic Food, Covid-19 Pandemic, Twitter
Subjects:	600 Technology and Applied Science > 620 Engineering
Divisions:	Faculty of Engineering > Department of Electrical Engineering (S1)
Depositing User:	Bagus Setya Rintyarna | bagus.setya@unmuhjember.ac.id
Date Deposited:	23 Dec 2022 01:20
Last Modified:	24 Jan 2023 04:32
URI:	http://repository.unmuhjember.ac.id/id/eprint/15667

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