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All Journal JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Buletin Ilmiah Sarjana Teknik Elektro Masyarakat Berdaya dan Inovasi
Ahmad Riyadi
Universitas PGRI Yogyakarta
Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Social Sciences Other

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Pemberdayaan Masyarakat Dalam Pemanfaatan Podcast Untuk Pengajian Online Menggunakan V-Mix kombinasi dengan Zoom Pada Masjid Al – Mustaqim Ngestiharjo Bantul Ahmad Riyadi; Sunggito Oyama; Firdiyan Syah
Masyarakat Berdaya dan Inovasi Vol. 3 No. 1 (2022): April
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/mayadani.v3i1.84

Abstract

Pandemi Covid 19 mengharuskan masyarakat untuk mampu beradaptasi dengan situasi dan kondisi saat ini yang melarang adanya kegiatan yang melibatkan banyak orang atau membuat kerumunan banyak orang. Masyarakat dihadapkan dengan kondisi serba virtual dalam setiap kegiatan. Terlebih lagi pada kegiatan keagamaan. Banyak tempat ibadah yang tutup dan tidak ada pelaksaanaan ibadah secara berjmaah untuk menghindari penyebaran covid 19 semakin bertambah. Seperti salah satunya yang dialami tempat ibadah yaitu Masjid. Artikel ini bertujuan untuk melaporkan hasil pengabdian kepada masyarakat terkait pemanfaatan podcast sebagai media komunikasi penyiaran dakwah di masjid. Kegiatan pengabdian ini juga memberikan kemudahan bagi para pengurus masjid Al Mustaqim dalam menyampaikan dakwah. Pengabdian ini diharapkan dapat membantu pengurus masjid dalam memahami dan menggunakan podcast menggunakan aplikasi V-MIX sebagai media komunikasi maupun kegiatan keagamaan. Serta mampu memanfaatkan media sosial dan media komunikasi dalam melakukan penyampaian informasi keagamaan maupun dakwah. Luaran kegiatan pengabdian kepada masyarakat yang diharapkan adalah modul pemberdayaan maasyarakat dalam pemanfaatan media V-MIX dan acara pengajian dapat disiarkan dan di saksikan oleh audien secara langsung menggunakan internet, serta artikel yang dipublikasikan dalam jurnal pengabdian
ANALISIS SENTIMEN INSTAGRAM VAKSINASI MASA PANDEMI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES Dwi Winarti; Fanny Aura Salsabila; Fadia Ayu Cahyani; Nurirwan Saputra; Meilany Nonsi Tentua; Ahmad Riyadi
JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Vol. 6 No. 1 (2022): Jurnal Sistem dan Teknologi Informasi Komunikasi
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32524/jusitik.v6i1.787

Abstract

The Covid-19 pandemic that has spread throughout the world. The government has also minimized the spread of the virus by implementing Large-Scale Social Restrictions (PSBB), implementing a lockdown, banning going home during Eid al-Fitr and so on. The government has also utilized social media as information and services for the community. The government also does not remain silent when there are many negative impacts on society, so the government takes vaccination action. The public's response to the vaccination program is quite interesting and varied on Instagram, both positive and negative. So this study aims to analyze sentiment towards the Covid-19 pandemic vaccination program using the Naïve Bayes method. Based on the results of sentiment analysis testing, the Instagram user with Quadgram tokenization obtained an accuracy value of 75.9124%.
Sentiment Analysis of the Increase in Fuel Prices Using Random Forest Classifier Method Karandi Nurbagja; Nurirwan Saputra; Ahmad Riyadi; Meilany Nonsi Tentua
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7414

Abstract

This research focuses on examining how the economy in Indonesia is affected by the increasing fuel prices, with a particular emphasis on the impact on the lower and middle-income populations. The announcement made by President Jokowi and his ministers about the fuel price hikes has spurred public reactions on social media platforms. The rise in fuel costs has a notable impact on people's livelihoods, especially concerning the surge in prices of essential goods. Sentiment analysis measures public opinion about the increase in fuel prices. The data taken from social media needs to be more balanced. The data is labeled with two identifications, “negative”, “positive” and “neutral”. The method used in sentiment analysis is the random forest method. This research contributes to determining the number of trees used in the model formation with public opinion data. The F1-score measurement result on the model is achieved at a value of 60%.
Co-Authors Dwi Winarti Fadia Ayu Cahyani Fanny Aura Salsabila Firdiyan Syah Karandi Nurbagja Nurirwan Saputra Nurirwan Saputra, Nurirwan Sunggito Oyama Tentua, Meilany Nonsi