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All Journal EDUMATIC: Jurnal Pendidikan Informatika Al-Madaris Jurnal Pendidikan dan Studi Keislaman
Setiawan, Andra
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Analisis Sentimen Ibu Kota Nusantara menggunakan Algoritma Support Vector Machine dan Naïve Bayes Setiawan, Andra; Suryono, Ryan Randy
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 1 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i1.25667

Abstract

The Government's policy of moving the Indonesian capital city (IKN) is considered controversial, sparking various responses from the public, especially on the social media platform X. This research aims to analyze tweet sentiment related to IKN and compare two algorithms. In this experiment, we collected 5,128 tweets regarding IKN from the X application. The dataset was classified into 2,598 positive sentiments and 1,659 negative sentiments. To analyze these sentiments, we used Text Mining techniques, comparing the Support Vector Machine (SVM) and Naive Bayes algorithms. To improve the performance of these algorithms in analyzing the data, SMOTE optimization was employed to address data imbalance. Our findings show that the SVM algorithm achieves an accuracy of 84%, while the Naive Bayes algorithm achieves an accuracy of 77%. Thus, it can be concluded that the SVM algorithm is superior to the Naive Bayes algorithm. Furthermore, the use of SMOTE optimization proved to enhance the ability of both algorithms to identify positive sentiment, as evidenced by the precision, recall, and F1-Score values. The SVM algorithm achieved a precision of 82%, recall of 86%, and F1-Score of 84%, while the Naive Bayes algorithm achieved a precision of 71%, recall of 92%, and F1-Score of 80%.
PENERAPAN MODEL INDEX CARD MATCH UNTUK MENINGKATKAN HASIL BELAJAR SISWA PELAJARAN IPS KELAS IV MIN 8 ACEH BARAT Andhika, M. Rezki; Setiawan, Andra
Al-Madaris Jurnal Pendidikan dan Studi Keislaman Vol. 3 No. 1 (2022): Islamic Studies
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) Sekolah Tinggi Agama Islam Jamiatut Tarbiyah Lhoksukon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47887/amd.v3i1.59

Abstract

Lack of active student interaction in learning such as joint discussions between students and teachers, as well as the lack of application of learning models that can support student activity. The learning outcomes of fourth grade students of MIN 8 West Aceh can be seen from the low level of student learning outcomes. The research target is how teacher activities, student activities and student learning outcomes through the application of the Index Card Match model on Theme 5 My Heroes in Class IV MIN 8 West Aceh. This study aims to describe teacher activities, student activities, and student learning outcomes during learning. The research instruments used in this study were teacher activity observation sheets, student activity observation sheets, and test question sheets. In this study, researchers used Classroom Action Research (CAR) which was carried out in the classroom by using an action to improve the quality of the learning process in order to obtain better learning outcomes than before. The data analysis technique used is using the percentage formula. Based on observations of teacher activity in the first cycle, the percentage was 73% (good), and in the second cycle it increased to 90% (very good). Meanwhile, student activity in the first cycle obtained a percentage of 72% (good) and the second cycle increased to 84% (very good). While the student learning outcomes obtained in the first cycle only 12 students who completed with a value of 60% and who did not complete 11 students with a value of 40%. While in the second cycle there was an increase, namely 20 students achieved completeness with a score of 86% and 3 students did not complete with a score of 14%. Based on the results of data analysis, it can be obtained that the use of the Index Card Match learning model can improve student learning outcomes.
Co-Authors M. Rezki Andhika Ryan Randy Suryono