Public’s Perception on Social Media towards New Normal during Covid-19 Pandemic in Indonesia: Content Analysis on Religious Social Media Accounts

Lendriyono, Fauzik

doi:10.1088/1755-1315/717/1/012039

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…Changes in the way of thinking are the main key to a person's success in maintaining self-existence. In addition, seeing the change itself as a new challenge to have various golden opportunities (Ledriyono, 2021;Swari and Darma, 2019;Wahyuni and Darma, 2019;Maharani and Darma, 2018;Kusuma and Darma, 2020;Ferdiana dan Darma, 2019;Permanasari dan Darma, 2013;Darma, 2012;Darma, 2004;Arsriani and Darma, 2013;Dewi and Darma, 2018). According to Buheji (2020), it is said that the New Normal is a broad consequence of changes in the modern world (such as climate change, migration, war, poverty, hunger), apart from the effects of technological developments.…”

Section: Introductionmentioning

confidence: 99%

The Struggle of Hybrid Entepreneur in The New Normal Era

Yogandhi

Darma

2021

JMB

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This study aims to know and analyze about Hybrid Entrepreneur and the strategy of Hybrid Entrepreneur in the New Normal Era. The research setting is the physical environment with a qualitative approach. Key Informan is a Hybrid Entrepreneur determined by Purposive Sampling technique. Data collection was done by interviews, observations and documentation. The data source is from sources that can be used as a Hybrid Entrepreneur model and process by using Strategy Management approach with technical analysis of strategy formulation is based on a three-stage framework of strategy formulation with analysis tools Internal Factor Evaluation Matrix, External Factor Evaluation Matrix, Strengths-Weakness-Opportunities-Threats Matrix and the Quantitative Strategic Planning Matrix. The conclusion are to become a Hybrid Entrepreneur should be based on expertise, while also having the ability to take opportunities and the courage in making business decisions. Market Penetration Strategy is the most appropriate strategy in facing competition in this New Normal era with the best long-term strategy is Integration Strategy, which is to increase the sales network directly to consumers, then increase control over suppliers for product innovation development, and increase competitiveness among others by acquiring competitors.

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Section: Introductionmentioning

confidence: 99%

The Struggle of Hybrid Entepreneur in The New Normal Era

Yogandhi

Darma

2021

JMB

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“…Sekarang ini, pertumbuhan media sosial untuk gaya hidup, komunitas, kesehatan, olahraga, hiburan, bisnis, dan lainnya meningkat secara signifikan (statistia.com, 2022). Hal tersebut menyebabkan data media online menjadi objek penelitian yang menarik di masa pandemi (Asghar et al, 2021;Lazzini et al, 2022;Lendriyono, 2021;Saud et al, 2020). Dengan adanya kebiasaan masyarakat yang lebih banyak menggunakan media sosial, kita dapat memanfaatkan data pada media sosial untuk mengetahui dan menganalisis permasalahan tertentu melalui opini publik.…”

Section: Pendahuluanunclassified

Analisis Tren Pertemuan Tatap Muka Terbatas dari Persepsi Warganet pada Twitter Menggunakan Topic Modeling

et al. 2023

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Salah satu dampak dari pandemi COVID-19 adalah pemberlakuan pembelajaran daring. Kegiatan pembelajaran daring banyak mengalami kendala, sehingga menyebabkan tidak tercapainya kompetensi pembelajaran dengan baik. Kemudian pemerintah memberlakukan program Pertemuan Tatap Muka Terbatas (PTMT), dan banyak tanggapan masyarakat terhadap program tersebut. Untuk mengetahui bagaimana persepsi masyarakat terhadap PTMT, kita dapat melakukan analisis terkait PTMT melalui media sosial. Karena media sosial merupakan salah satu media yang paling banyak digunakan oleh masyarakat selama pandemi untuk berkomunikasi, menyampaikan pendapat, mencari berita, dan lain-lain. Adapun analisis tren PTMT dari persepsi warganet yang dapat dilakukan adalah malalui topic modeling. Dengan mengambil data dari Twitter terkait PTMT menggunakan API (Application Programming Interface), selanjutnya memproses topic modeling dengan metode Latent Dirichlet Allocation (LDA), sebuah metode yang paling populer dan banyak digunakan pada penelitian text mining. Hasil pemodelan topik menghasilkan sepuluh klaster topik dengan nilai koheren 0,50344, dengan tiga topik yang paling banyak dibicarakan oleh warganet. Yakni tentang banyaknya tugas yang harus dikerjakan di luar jam sekolah, mereka sudah mencapai titik kebosanan menjalani sekolah dari rumah hingga menyebabkan kemalasan, dan banyak warganet yang membicarakan bahwa mereka akan melaksanakan kegiatan PTMT.

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“…Another work has implemented the Support Vector Machine Algorithm to analyze Twitter data and identify the Canadians' feelings regarding social distancing in relation to COVID-19 [10]. Research by [5] has analyzed the public's perception of social media towards the new normal during the COVID-19 pandemic in Indonesia. The study found that most Instagram users who follow religious accounts are against the new normal.…”

Section: A Similar Workmentioning

confidence: 99%

“…Initially, the community was still ignorant of the virus's seriousness and was indirectly forced to adjust quickly and adapt to the new normal rules in daily life. Some people oppose the new normal life and still want to continue their old lifestyle without following health protocols and restrictions [5]. This kind of mentality may also influence others in embracing a new normal in their lives.…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis on Acceptance of New Normal in COVID-19 Pandemic using Naïve Bayes Algorithm

Samsudin¹,

Sabri²,

Isa³

et al. 2022

IJACSA

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The COVID-19 pandemic has such a significant impact and causes difficulties in many aspects that the new normal rules should be implemented to reduce the effects. New normal rules have been implemented by governments worldwide to break the virus chain and stop its transmission among the society. Even if the COVID-19 outbreak is under control, governments still need to know whether society could adapt and adjust to their new daily lifestyles. Many precautions still must be addressed as the transition to endemic status does not mean that COVID-19 will naturally eventually disappear. The World Health Organization also has warned that it is too early to treat COVID-19 as an endemic disease. Since the pandemic, many interactions have been done online, leading to the increasing social media usage to express opinions about COVID-19. The objective of the study is to explore the capability of the Naïve Bayes algorithm in the sentiment classification of the public's acceptance on the new normal in the COVID-19 pandemic. Naïve Bayes has been chosen for its good performance in solving various other classification problems. In this study, Twitter data were used for the analysis and were collected between March and June 2022. The evaluation results have shown that Naïve Bayes could generate excellent and acceptable performance in the classification with an accuracy of 83%. According to the findings of this research, many people have accepted the new normal in their daily lives. The future works would include scrapping more data based on geolocation, improving the feature extraction technique, balancing the dataset and comparing Naïve Bayes performance with other well-known classifiers. The subsequent study could also focus on detecting the emotions of the public and processing non-English tweets.

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Public’s Perception on Social Media towards New Normal during Covid-19 Pandemic in Indonesia: Content Analysis on Religious Social Media Accounts

Cited by 5 publications

References 28 publications

The Struggle of Hybrid Entepreneur in The New Normal Era

The Struggle of Hybrid Entepreneur in The New Normal Era

Analisis Tren Pertemuan Tatap Muka Terbatas dari Persepsi Warganet pada Twitter Menggunakan Topic Modeling

Sentiment Analysis on Acceptance of New Normal in COVID-19 Pandemic using Naïve Bayes Algorithm

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