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Analisis Pesan Dakwah Ustadz Muhammad Nuzul Dzikri Melalui Media YouTube Rofiqotul Fidha; Rofi’ah Rofi’ah; Noneng Siti Rosidah
KOLONI Vol. 3 No. 2 (2024): JUNI 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v3i2.646

Abstract

Da'wah on the aspects of Islam, namely creed, morals, and sharia, has an important role in strengthening the beliefs, understanding, and religiosity of Muslims. In today's digital era, online platforms such as YouTube are a significant means of disseminating da'wah messages to a wide audience. This study aims to analyze Ustadz Muhammad Nuzul Dzikri's da'wah messages through YouTube media. The research method used is a case study with a qualitative approach. Data is collected through observation of the da'wah content delivered through the YouTube channel, as well as documentation to find out and understand the content of the da'wah. The results of this study are expected to provide an overview of the extent to which da'wah through YouTube can be effective in spreading understanding of creed, morals and shari'ah to the wider community.
Analisis konten diskusi publik mengenai program Makan Bergizi Gratis (MBG) pada platform X (Twitter) periode April 2025 Lia Puspitasari; Yama Pradhana Sumbodo; Rofi’ah Rofi’ah
SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora Vol 12 No 1 (2026): February 2026
Publisher : LP2M Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/sosio.v12i1.20432

Abstract

The Free Nutritious Meal Program implemented by the Indonesian government in April 2025 triggered intense public discussion on the social media platform X (formerly Twitter), reflecting a sharp polarization of opinions between support and criticism. This study aims to analyze the forms, sentiment directions, and network structure of public discourse surrounding the MBG program in digital space. A quantitative descriptive approach was employed, combining content analysis and Social Network Analysis (SNA) based on social media data. Data were collected through web crawling using Python 3 on Google Colab, yielding 33,213 tweets posted between 1-30 April 2025. The analysis classified public sentiment (positive and negative) and mapped user interactions to identify communication patterns and key actors. The findings reveal two dominant clusters: pro and critical groups. The pro program cluster was dominated by institutional and buzzer accounts with uniform narratives, while the critical cluster consisted mainly of personal accounts expressing participatory and argumentative views highlighting issues of implementation, food quality, and alleged budget irregularities. The network mapping shows two major clusters with limited interaction, indicating digital polarization and the echo chamber phenomenon. Conceptually, the study demonstrates that public opinion formation on social media is shaped not only by policy substance but also by political communication strategies and platform algorithms that amplify dominant narratives. These findings imply the need for a two-way, participatory communication strategy and improved digital literacy to foster a healthier and more deliberative public discourse in Indonesia’s digital sphere.