Novy Khusnul Khotimah
Badan Narkotika Nasional Kabupaten Kuningan

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SENTIMEN PERCAKAPAN PENGGUNA TWITTER PADA HASHTAG #NONHALAL DALAM TIPOLOGI EKSKLUSIVISME, INKLUSIVISME, PLURALISME DAN TOLERANSI BERAGAMA Dessy Kushardiyanti; Novy Khusnul Khotimah; Zaenal Mutaqin
Harmoni Vol. 21 No. 2 (2022): Juli-Desember 2022
Publisher : Research and Development Center for Guidance for Religious Societies and Religious Services, the Research and Development and Education and Training Agency of the Ministry of Religious Affairs of the Republic of Indonesia (MORA)

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Abstract

This study was conducted to analyze the negative sentiment of the impact of news coverage at a Padang restaurant in Jakarta with rendang innovation made from pork. This is unprincipled from the origins of the cultural philosophy, namely Adat Basandi Syara', Syara' Basandi Kitabullah associated with the principle of halal products as one of the characteristics of Padang food. However, it turns out that there are many public responses that view this as not reflecting tolerance in culture and religion, one of the social media used in analyzing these opinions and responses is the social media Twitter. This study uses a mix method approach with the data collection technique used is conversations (tweets) from the Twitter social media application with a special topic approach using the 'hashtag' feature. Data collection was carried out using the Twitter API (Application Programming Interface) tool. The text and sentiment analysis is carried out using several tools and stages of data analysis, including data mining assistance, namely using python with stages covering the process of crawling data, text preprocessing, language adjustment, and the results of sentiment classification (labelling) technically using Vader-TDIF. The results of these sentiments by researchers are then transformed into Alan Race's theory. This aims to apply, translate, and perceive in a simpler way social-psychological perceptions. Alan Race's typology which includes Exclusivism, Inclusivism, Pluralism is the basis for categorizing the sentiments of Twitter users in interpreting a popular issue. The sentiment results formed from the prediction model with the Naive-Bayes algorithm show the result that the percentage of dominant sentiment is neutral or represents pluralism with the highest yield, namely 47.9%. , negative sentiment represents exclusivism, namely 21.23%, and positive sentiment or inclusivism, namely 30.87% with an accuracy rate of 66.43%. By knowing the conditions of community sentiment and views, this research is expected to become a reference in decision making and increase the intensity of relevant campaigns on social media Twitter specifically in the context of religious and cultural differences in order to further enhance the understanding of tolerant religious moderation in a plural-multicultural society.
Sensor Penyiaran Televisi Indonesia : Menyoal Muatan Negatif Dalam Konten Siaran Televisi Novy Khusnul Khotimah; Dessy Kushardiyanti
Jurnal Mediakita : Jurnal Komunikasi dan Penyiaran Islam Vol. 6 No. 1 (2022): Jurnal Mediakita :Jurnal Komunikasi dan Penyiaran Islam
Publisher : Fakultas Usluhuddin dan Dakwah IAIN Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/mediakita.v6i1.304

Abstract

Censorship on television becomes a polemic in society, especially when censorship is carried out on certain images which even become controversial because they are considered unrealistic. Various parties regretted it, but not a few criticized and blamed the government in this case KPI and LSF for their ignorance of the censorship system on television. Although the issue of censorship is not the realm of the KPI in a pragmatic manner, it still has a big role to play in this situation because it governs the policy. How to make and apply laws and regulations when applied by television practitioners so that it gives rise to various interpretations including the irrelevant censorship. Analytical descriptive research method is used in reviewing this research by making an actual and factual path analysis regarding the facts, policies and implications of television broadcasting industry policies. The results of this study indicate that there is a need for intense supervision from KPI and LSF in their capacity to censor television station programs and anticipate the various censorship limits of television companies as a result of differences in human resources and technology capabilities and the application of censorship.