The Role of Government in Preventing the Spread of Hoax Related the 2019 Elections in Social Media

Rasidin, Mhd.; Witro, Doli; Yanti, Betria Zarpina; Purwaningsih, Rahma Fitria; Nurasih, Wiji

doi:10.17933/diakom.v3i2.76

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…Uji coba penyelenggaraan TV digital di Indonesia sudah dimulai sejak tahun 2008, selajutnya sebagai upaya pemerintah dalam beradaptasi dengan perkembangan teknologi yang begitu masif, ditetapkanlah peraturan Menkominfo No.22/PER/M.KOMINFO/11/2011 tentang Penyelenggaran Penyiaran Televisi Digital Terestrial Penerimaan Tetap Tidak Berbayar, pada awal tahun 2012 disusul peraturan Menkominfo No.5/PER/M.KOMINFO/2/2012 tentang standar penyiaran TV Digital Terestrial Penerimaan Tetap Tidak Berbayar (Rasidin et al, 2020b). Kemudian, dengan ditetapkannya Undang-Undang Cipta Kerja No.11 Tahun 2022 menjadi dasar hukum dimulainya proses peralihan penyiaran digital secara bertahap kepada masyarakat di berbagai wilayah di Indonesia (Agussetianingsih & Kasim, 2021).…”

Section: Pendahuluanunclassified

Optimasi Feature Selection Pada Komentar Media Sosial Terhadap Peralihan Tv Digital Menggunakan Naïve Bayes, Support Vector Machine dan K-Nearest Neighbor

Tri Romadloni,

Dwi Septiyanti

2023

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Dalam menghadapi perubahan pada salah satu media informasi yaitu televisi yang semula menggunakan signal analog beralih menjadi TV dengan signal digital. Hal tersebut disebabkan bahwa siaran dengan transmisi analog rentan terhadap gangguan sehingga peralihan ini sebagai upaya dalam menikmati konten siaran televisi yang lebih baik. Namun, pada kenyataannya terdapat beberapa kesulitan yang dialami oleh beberapa pihak atau kalangan dengan berbagai alasan. Hal tersebut dapat diketahui melalui platform media sosial seperti twitter dan instagram. Dengan adanya kerjadian tersebut maka dapat diambil beberapa komentar positif dan negatif untuk mengetahui dampak dari peralihan signal digital tersebut. Dalam penelitian ini terdapat 1177 data komentar yang didapatkan sehingga membutuhkan teknologi untuk mendeteksi komentar tersebut positif atau negatif. Pada penelitian ini untuk optimasi komentar berbasis Pearson Correlation dengan menggunakan metode Naïve Bayes, Support Vector Machine (SVM) dan K-Nearest Neighbor (KNN). Hasil akurasi yang didapatkan dari ujicoba tersebut dengan metode Naïve Bayes 61,22%, SVM 80,10 %, dan KNN 79,93%. Jika ditambahan dengan Feature Selection mendapatkan hasil Naïve Bayes 63,68%, SVM 80,19%, dan KNN 80,02%. Berdasarkan hasil percobaan yang dilakukan digunakan untuk mengetahui berapa banyak perbandingan komentar positif dan negatif serta mengetahui perbandingan dari beberapa macam algoritma dengan seleksi fitur sehingga dapat menjadikan hasil yang optimal.

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Section: Pendahuluanunclassified

Optimasi Feature Selection Pada Komentar Media Sosial Terhadap Peralihan Tv Digital Menggunakan Naïve Bayes, Support Vector Machine dan K-Nearest Neighbor

Tri Romadloni,

Dwi Septiyanti

2023

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“…For this reason, the government must also cooperate with other agencies, for example with the press and verified online media. This verification has a goal, namely to prevent the spread of false news from continuing to occur by increasing the professionalism of stakeholder companies, maintaining the quality of news, and preventing news that has a tense content (Rasidin et al, 2020).…”

Section: Carrying Out Clarification Of False Information On Reports A...mentioning

confidence: 99%

The Role of the Communication and Informatics Service in Preventing the Spread of False Information to the Public in Sidoarjo District

Sari

Tukiman²

2022

j. gov. soc. politicol.

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In the current era of digitalization, everyone can easily create and share information without ascertaining whether the information is valid or invalid. In Sidoarjo District, Government agencies that play a role in preventing the spread of false information continue to occur in the public is a role that should be carried out by the communications and information service. The writing of this study aims to find out and analyze how the role played by the Communication and Information service of Sidoarjo District in preventing the spread of false information to the public in Sidoarjo District based on the focus of this research, namely the duties and functions of the Sidoajo District Communication and Information Service, especially in the Information and Communication Public Management Sector. The data are presented through direct observation and interviews qualitatively analyzed. This study concludes that until now there is no policy or Standart Operating Procedure (SOP) that regulates the prevention of the spread of false information to the people of Sidoarjo, the action taken In handling cases of false information is only to clarify based on reports received from the people of Sidoarjo District.

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“…To combat the spread of urban legends, considerable efforts are required from all stakeholders, particularly the authorities, and specifically the government. The Ministry of Communication and Information of the Republic of Indonesia blocks sites that disseminate hoaxes, and it educates the public on the hazards of fake news in print media and on television, the Internet, and social media [11].…”

Section: Introductionmentioning

confidence: 99%

A Highly Accurate Internet-Based Fake Information Detection Tool for Indonesian Twitter

Arifin

Syaifuddiin

Desriyanti

et al. 2023

IJCAI

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The dissemination of fake information through social media has several harmful effects on the social life of a nation. Indonesia has been afflicted by the dissemination of erroneous information regarding the negative health consequences of vaccination, resulting in widespread unwillingness to undergo immunization. Therefore, it is necessary to combat such misleading information. We developed a web application using machine learning technologies to identify bogus information flowing on Indonesian Twitter. A Passive-Aggressive Classifier and n-gram tokenization are used to handle data. The application test results indicate that the detection accuracy, precision, and recall for 1-3 grams of tokenization are higher than 90%. In addition, the black box approach yields reliable findings for all application functionalities. Povzetek: Opisana je metoda strojnega učenja za zaznavanje lažnih novic za Indonezijo za Twitter.

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The Role of Government in Preventing the Spread of Hoax Related the 2019 Elections in Social Media

Cited by 6 publications

References 10 publications

Optimasi Feature Selection Pada Komentar Media Sosial Terhadap Peralihan Tv Digital Menggunakan Naïve Bayes, Support Vector Machine dan K-Nearest Neighbor

Optimasi Feature Selection Pada Komentar Media Sosial Terhadap Peralihan Tv Digital Menggunakan Naïve Bayes, Support Vector Machine dan K-Nearest Neighbor

The Role of the Communication and Informatics Service in Preventing the Spread of False Information to the Public in Sidoarjo District

A Highly Accurate Internet-Based Fake Information Detection Tool for Indonesian Twitter

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