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All Journal The Indonesian Journal of Computer Science Jurnal Pendidikan Widyaswara Indonesia (JPWI)
M. Daffa
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Arts Computer Science & IT Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Sentiment Analysis of Tweets About Allowing Outdoor Mask Wear Using Naïve Bayes and TextBlob Ilham Firman Ashari; A, Fadhillah; M. Daffa; Sekar A
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3238

Abstract

Covid-19, a virus that attacks the respiratory tract and has a fairly high mortality rate, has spread throughout the country. On March 11, 2020, WHO declared Covid-19 a global pandemic. The government is trying various efforts to reduce the number of sufferers of this virus. Starting from the implementation of the lockdown, PPKM, to making Government Regulations related to the use of masks and so on for personal protection. In June 2021, there was a spike in Covid-19 cases in Indonesia and Covid-19 patients increased drastically. Conditions at that time were very chaotic, and left trauma for some people. On May 17, 2022, the government made concessions in the use of masks in open spaces while maintaining social distance. Even though masks play an important role in preventing the spread of the virus. With this, a research related to "Analysis of Sentiment on Tweets regarding Allowance for the Use of Masks in Outdoors using Naive Bayes was carried out" to find out public opinion. The research was conducted using Text Mining through Twitter sentiment and Naive Bayes for classification. Based on research, the majority of twitter users give a neutral response. This is indicated by the number of neutral sentiments of 75.76% or about 757 tweets. The data used in this study, namely 1000 Indonesian tweets with the keyword 'jokowi mask'. Testing data of 20% resulted in a more accurate model, which resulted in an accuracy of about 85%, while the model using testing data of 30% only produced an accuracy of about 83%.
Analisis Kemampuan Literasi Dasar Peserta Didik Kelas II UPT SD Negeri 04 Bariang Rao-Rao Kecamatan Sungai Pagu Kabupaten Solok Selatan M. Daffa; Dian Sarmita; Rosma Diana
Jurnal Pendidikan Widyaswara Indonesia Vol. 2 No. 2 (2026): JPWI-MEI
Publisher : Jurnal Pendidikan Widyaswara Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63879/jpwi.v2i2.200

Abstract

Penelitian ini dilatarbelakangi pentingnya kemampuan literasi dasar, terutama membaca dan menulis, menjadi salah satu tantangan utama pendidikan dasar di Indonesia. Penelitian ini bertujuan untuk menganalisis kemampuan literasi dasar siswa kelas II SDN 04 Bariang Rao-Rao, mengidentifikasi faktor-faktor yang memengaruhinya, serta merumuskan solusi peningkatan. Jenis penelitian ini adalah kualitatif deskriptif dengan teknik observasi, wawancara, dan dokumentasi. Subjek penelitian adalah 25 siswa kelas II, guru kelas, dan kepala sekolah UPT SD Negeri 04 Bariang Rao-Rao Kecamatan Sungai Pagu Kabupaten Solok Selatan pada semester 2 tahun pelajaran 2024/2025. Analisis data digunakan yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Uji keabsahan data yang digunakan adalah teknik triangulasi, yaitu sumber, waktu, dan teknik. Hasil penelitian menunjukkan secara umum, hasil tes ini menunjukkan bahwa kemampuan literasi dasar membaca siswa kelas II tergolong baik, meskipun tetap diperlukan upaya pembelajaran tambahan untuk membantu siswa yang masih berada pada kategori sedang dan rendah agar perkembangan kemampuan literasi dapat lebih merata., namun masih ada yang kesulitan mengenali huruf, mengeja, dan menulis dengan benar. Faktor yang memengaruhi literasi meliputi lingkungan rumah dan sekolah, kondisi emosional-psikologis, fasilitas belajar, serta minat dan motivasi siswa
Co-Authors A, Fadhillah Dian Sarmita Ilham Firman Ashari Rosma Diana Sekar A