Persepsi Publik tentang Pembelajaran Daring dari Jejak Digital Twitter: Analisis Sentiment Positif, Netral, dan Negatif dari Drone Emprit

Suharsa, Hari; Soleh, Dadang Jam’an; Miftahuddin, Asep

doi:10.52596/ja.v6i1.152

Cited by 3 publications

(3 citation statements)

References 15 publications

(15 reference statements)

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“…The data presented in this study were 1,173 social media users Twitter which is active from January 01, 2022 to April 30, 2022 can be seen in figure 2. The data is processed by the system owned by Drone Emprit Academic (https://academic.droneemprit.id/#/search/index), and the author describes and analyzes descriptively (Suharsa et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

Urban Tourism Destination Image Perception Based on Social Network Analysis: The Example of the Tourist Sites in Yogyakarta

Miftahuddin

Kumalasari

Pradana

2022

J.Rev

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Urban Tourism Destination Image Perception aims to describe the image of urban tourism from the perspective of the perception of tourists, therefore, this study provides new information on the progress and innovation of urban tourism. The model proposed in this study can effectively depict a perceptual picture of a tourist destination, with the conclusion that the research provides a vital referential basis for the development of sustainable urban tourism. Combined with Social network analysis, we built a research framework of image perception of tourism destinations and then took popular online comments of beautiful places in Yogyakarta Travel as an example from twitter data using DroneEmprit. The results show that four aspects are included in tourists' perceptions of the image of the city of Yogyakarta: experience, historical culture, recreational services, and tourist destinations. Among them, the social network of the experiential dimension is the most closely related. In addition, emotional analysis illustrates that tourists' emotional tendencies tend to be positive under the four perceptual dimensions.

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Section: Resultsmentioning

confidence: 99%

Urban Tourism Destination Image Perception Based on Social Network Analysis: The Example of the Tourist Sites in Yogyakarta

Miftahuddin

Kumalasari

Pradana

2022

J.Rev

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“…Sentimen analisis adalah metode yang digunakan untuk mengekstrak opini atau persepsi dari teks (Fauziyyah, 2020;Habibi et al, 2016;Hasibuan et al, 2022). Metode ini cukup populer digunakan dalam analisis data media sosial, dikarenakan data media sosial merupakan sumber data yang cukup banyak dan mudah diakses (Juanita, 2020;Setyobudi et al, 2018;Suharsa et al, 2022;Taufan, 2021). Beberapa studi sebelumnya telah menggunakan sentimen analisis untuk mengetahui opini masyarakat terhadap produk halal (Hakim et al, 2022;Herindar, 2022;Lahuri & Pranoto, 2022).…”

Section: Pendahuluanunclassified

Persepsi Masyarakat Terhadap Tren Perkembangan Industri Halal Di Media Sosial: Analisis Respons Di Indonesia

MIftahuddin

Perdana²,

Suryana³

et al. 2023

Responsive

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Penelitian ini bertujuan untuk menganalisis sentimen masyarakat yang diwakili oleh pengguna Twitter terkait industri halal setelah pandemi COVID-19. Metoda yang digunakan adalah Analisis Jaringan Sosial (SNA) dengan menggunakan Drone Emprit. Data diambil dari arsip atau dokumen tertulis, gambar, atau rekaman video yang diproduksi, didistribusikan, dan diterima oleh pengguna media sosial Twitter pada periode Maret 2022 hingga Agustus 2022. Hasil penelitian menunjukkan bahwa narasi yang berkembang di masyarakat memiliki sentimen positif terkait industri halal setelah pandemi. Narasi tersebut mencakup kebangkitan industri halal dan ajakan untuk menggunakan produk halal yang memiliki sertifikat halal dari MUI yang berasal dari akun-akun pemerintah dan influencer. Meskipun demikian, masih terdapat beberapa akun yang mengekspresikan keprihatinan mereka terhadap perkembangan industri halal yang kurang pesat di Indonesia, meskipun mayoritas penduduknya adalah Muslim. This study aims to look at public sentiment represented by Twitter users related to the halal industry after the Covid 19 pandemic. halal industry after the covid 19 pandemic. Data was collected using Drone Emprit Academic, which is in the form of archives or written documents, images, or video recordings produced, distributed, and responded to by Twitter social media users from March 2022 to August 2022. The results showed that the narratives that developed in the community had positive sentiments. The developing narrative related to the topic of the halal industry in the post-pandemic period is the stretching of the halal industry as well as appeals and invitations to use halal products that have certificates from MUI from government accounts and other influencers. In addition, there are still accounts that are concerned about the slow development of the halal industry in Indonesia, where the majority of the population is Muslim.

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“…social network analysis using the retweet network connected using various nodes. Node shows the account associated with the conversation[19].d. Implementation p-ISSN: 2528-1682 e-ISSN: 2527-9165…”

mentioning

confidence: 99%

Social Network Analysis: Identification of Communication and Information Dissemination (Case Study of Holywings)

Aditiawarman,

Lumbia,

Mantoro

et al. 2023

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Social media especially Twitter has been used by corporation or organization as an effective tool to interact and communicate with the consumers. Holywings is one of the popular restaurants in Indonesia that use social media as a tool to promote and disseminate information regarding their products and services. However, one of their promotional items has gone viral and invited public protests which turned into a trending topic on Twitter for a couple of weeks. Holywings allegedly improperly promoted their products by using the most honorable names, “Muhammad” and “Maria”. Social network analysis of Twitter data is conducted to identify and examine information circulating among the users, which leads to wider public attention and law enforcement. In this study, we focused on the conversation about Holywings on Twitter from 24 June to 31 July 2022. The analysis was carried out using Python to retrieve data and Gephi software to visualize the interactions and the intensity of the network group in viewing the spread of information. The findings reveal the centrality account that caused the news to go viral are the CNN Indonesia (@CNNIndonesia) news media account and Haris Pertama (@knpiharis), with a centrality of 0.161 and 0.282, respectively. There are also 121 groups involved in the conversation with modularity of 0.821.

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Persepsi Publik tentang Pembelajaran Daring dari Jejak Digital Twitter: Analisis Sentiment Positif, Netral, dan Negatif dari Drone Emprit

Cited by 3 publications

References 15 publications

Urban Tourism Destination Image Perception Based on Social Network Analysis: The Example of the Tourist Sites in Yogyakarta

Urban Tourism Destination Image Perception Based on Social Network Analysis: The Example of the Tourist Sites in Yogyakarta

Persepsi Masyarakat Terhadap Tren Perkembangan Industri Halal Di Media Sosial: Analisis Respons Di Indonesia

Social Network Analysis: Identification of Communication and Information Dissemination (Case Study of Holywings)

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