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All Journal Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial J-SAKTI (Jurnal Sains Komputer dan Informatika) YUME : Journal of Management Kumawula: Jurnal Pengabdian Kepada Masyarakat Economics and Digital Business Review Jurnal Pengabdian Masyarakat Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) eProceedings of Management Community Service Seminar and Community Engagement (COSECANT) Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Eva Nurhazizah
Universitas Telkom
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

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Analisis Persepsi Masyarakat Terhadap Komunikasi Kebijakan Menggunakan Topic Modelling (Kebijakan Protokol Kesehatan Covid-19 Dalam Penggunaan Masker) Rochmawati, Wulan Hilmi; Ramantoko, Gadang; Nurhazizah, Eva
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.442

Abstract

The application of health protocols has become a new habit in the Covid-19 pandemic, one of which is the use of masks. Presidential Instruction Number 6 of 2020 on August 4, 2020, has stipulated the obligation to use masks in Indonesia. This study aims to determine the topics formed on the Twitter network and public perceptions before and before the implementation of the Presidential Instruction. Tweet data with the hashtags “#gunakanmasker” and “#indonesiaterserah” were collected during the period from March 2 to November 30, 2020. The data was processed using the Topic Modeling method with Python software. The results show that the topics formed before the Presidential Instruction were "prevent-protect" and the topics after the Presidential Instruction were "compulsory-mandatory". The Chi-Square test shows that the topics formed before and before the implementation of the Presidential Instruction are independent. The topics that were mined from the tweet data were then checked for compliance with the policy framework consisting of the variables of perceived knowledge, social trust, perceived benefits, and perceived risks
Co-Authors Ahmad, Mokhtarrudin Akhmad Yunani Anita Silvianita Aulia Salsabila Manan Putri Candiwan Chairunnisa Aulia Syach Putri Damayanti Octavia Dea Iyus Intan shofia Pratama Dewi Purwati Famius, Mochammad Rayhan Shaquille Fazrin bin Abu Sujak, Aznul Gadang Ramantoko Helni Mutiarsih Jumhur Heppy Millanyani Herry Irawan Irdana, Farhan Muhammad Joe Nathan C.G. Panjaitan Mahir Pradana Mangsor, Miza Maya Ariyanti Muhammad Ramadheo Nugraha Muhammad Saiful Arifin Nurvita Trianasari Ocu, Herry Asimilubti R. Nurafni Rubiyanti Raja Razali, Raja Razana Refi Rifaldi Windya Giri Rina Djunita Pasaribu Rizky Fernando Rizky Nur Ichsan Rochmawati, Wulan Hilmi Sri Widiyanesti Tarandhika Tantra Yuhana Astuti Zahid, Azham