Proceedings of the First International Conference on Literature Innovation in Chinese Language, LIONG 2021, 19-20 October 2021, Purwokerto, Indonesia

Research Article

Measurement of Public Opinion based on Social Media Big Data (Indonesia and Malaysia)

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  • @INPROCEEDINGS{10.4108/eai.19-10-2021.2316598,
        author={Catur Suratnoaji and Nurhadi Nurhadi and Irwan Dwi Arianto},
        title={Measurement of Public Opinion based on Social Media Big Data (Indonesia and Malaysia)},
        proceedings={Proceedings of the First International Conference on Literature Innovation in Chinese Language, LIONG 2021, 19-20 October 2021, Purwokerto, Indonesia},
        publisher={EAI},
        proceedings_a={LIONG},
        year={2022},
        month={3},
        keywords={public opinion; lockdown; social media; psbb; big data; covid-19; ppkm; pkp},
        doi={10.4108/eai.19-10-2021.2316598}
    }
    
  • Catur Suratnoaji
    Nurhadi Nurhadi
    Irwan Dwi Arianto
    Year: 2022
    Measurement of Public Opinion based on Social Media Big Data (Indonesia and Malaysia)
    LIONG
    EAI
    DOI: 10.4108/eai.19-10-2021.2316598
Catur Suratnoaji1,*, Nurhadi Nurhadi2, Irwan Dwi Arianto1
  • 1: Communication Departmen
  • 2: Business Administration Departmen, Social and Politic Sciences Faculty, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
*Contact email: catur_suratnoaji.ilkom@upnjatim.ac.id

Abstract

To suppress the spread of the coronavirus, two countries (Malaysia and Indonesia) have imposed a lockdown policy. Lockdown Policy or Movement Control Order (PKP) in Malaysia. The lockdown policy in Indonesia will continue until 2021 by changing to a policy of Enforcement of Community Activity Restrictions (PPKM). The focus of this study is to compare public opinion about the lockdown policy based on the data stored on Twitter social media. The measurement of public opinion on policies tends to be done using a survey method (traditional), but in this research, it is done by measuring public opinion based on social media big data. The results showed that the Lockdown policy in Malaysia and Indonesia gave rise to various public opinions. Sentiment analysis shows that most tweets in Indonesia and Malaysia fall into the positive category, but the negative opinion category is almost the same as the positive opinion. In situations of uncertainty, Indonesians are more likely to trust personal sources of information. Unlike the Malaysian people, they believe more in online media information sources. Information in online media is more reliable than personal sources. As a result, there is more fake news or hoaxes than in Malaysia.