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Analisis Sentimen Komentar Youtube Rencana Pemerintah terhadap Pemblokiran Roblox Menggunakan Model Naïve Bayes Firdiawati Firdiawati; Salvia Nabillah Syifa; Harun Al Rosyid
Jurnal Komputer, Informasi dan Teknologi Vol. 6 No. 1 (2026): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v6i1.3454

Abstract

Perkembangan teknologi digital telah meningkatkan popularitas platform permainan daring seperti Roblox. Namun, rencana pemerintah untuk memblokir platform tersebut memunculkan beragam respons publik yang terlihat pada kolom komentar YouTube. Penelitian ini bertujuan untuk mengidentifikasi kecenderungan sentimen masyarakat terhadap isu pemblokiran Roblox. Data penelitian terdiri dari 2.500 komentar YouTube yang diperoleh melalui YouTube Data API, kemudian melalui tahapan preprocessing dan pelabelan sentimen berbasis lexicon hingga tersisa 2.427 komentar yang layak dianalisis. Data selanjutnya diubah menjadi fitur TF-IDF dan diklasifikasikan menggunakan metode Naïve Bayes algoritma Multinomial Naïve Bayes dengan skema pembagian data 90:10 dan 80:20. Hasil terbaik diperoleh pada skema 80:20 dengan akurasi 71,19%, precision 73,31%, recall 71,19%, dan f1-score 70,23%. Hasil yang didapat dari penelitian menunjukkan bahwa opini publik didominasi sentimen netral dengan kecenderungan negatif. Penelitian ini menyimpulkan bahwa Multinomial Naïve Bayes efektif dalam mengklasifikasikan sentimen komentar berbahasa Indonesia terkait isu pemblokiran Roblox.
Pengaruh Penggunaan ProFormA Question Pada LMS Onelearn Dengan Implementasi PJBL Terhadap Peningkatan Kompetensi Kognitif Siswa Firdiawati Firdiawati; Martini Dwi Endah Susanti
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1889

Abstract

The learning process of Structured Programming at SMK Krian 1 Sidoarjo is still dominated by teachers, while the use of the Moodle Learning Management System (LMS) is not optimal because it is still in the trial stage and has not been adjusted to the needs of the subjects. This condition causes active student involvement and cognitive competency development to not be maximized. This study aims to analyze the effect of the use of ProFormA Question on the OneLearn LMS with the implementation of Project Based Learning (PjBL) on improving students' cognitive competence. The study uses a quantitative approach with a One Group Pretest-Posttest design. The research subjects consisted of 35 students in class X RPL 1 SMK Krian 1 Sidoarjo. Data were collected through pretest and posttest tests, then analyzed using the Shapiro-Wilk normality test, the Wilcoxon Signed-Rank test, and the N-Gain test. The results showed that there was an increase in students' cognitive competence after learning using ProFormA Question on the OneLearn LMS. The results of the Wilcoxon test  showed a significant difference between the pretest and posttest scores (p < 0.001), while  the results of the N-Gain test  obtained an average value of 0.5659 which was included in the medium category. These results show that the use of ProFormA Question in the OneLearn LMS implemented with the Project Based Learning (PjBL) model has a positive effect on improving students' cognitive competence in Structured Programming subjects. Thus, the OneLearn LMS can be an effective alternative learning media in supporting programming learning in vocational schools.