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All Journal SMARTICS Journal Pendas : Jurnah Ilmiah Pendidikan Dasar
Puspita Sari, Desti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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Penerapan Data Mining Metode K-Nearest Neighbor Untuk Memprediksi Kelulusan Siswa Sekolah Menengah Pertama Puspita Sari, Desti; Shofia Hilabi, Shofa; Agustia Hananto
SMARTICS Journal Vol 9 No 1 (2023): SMARTICS Journal (April 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i1.8088

Abstract

Technology has become an important need for society that supports all activities to streamline student graduation with an average credit card, reduces problems related to predicting student graduation, the application of data mining to predict school graduation. The need for data mining stems from the amount of data that can be retrieved useful information and insights. Based on the results of calculations carried out using the orange modeling, the average grades of Class IX students vary from 80 to 90, and all students are declared PASS because their grades meet the graduation requirements set. is in SMPN 3 West Karawang. The K-Nearest Neighbor algorithm is useful for predicting a large number of graduates due to the consistent data processing of these predictions. For further research, use all student data to predict class growth towards student graduation.
A SURVEY ON CHATGPT USAGE PATTERNS AS A TOOL FOR READING COMPREHENSION OF ENGLISH STUDY PROGRAM STUDENTS FKIP UNRI Puspita Sari, Desti; Azhar, Fadly; Mahdum
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 1 (2026): Volume 11 No.1, Maret 2026.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i1.43387

Abstract

The rapid development of artificial intelligence has introduced new digital tools that support learning activities, including in the field of language education. One of the most widely used AI tools is ChatGPT, which provides interactive assistance for various academic tasks. This study aims to investigate the usage patterns of ChatGPT as a tool to support reading comprehension among students of the English Study Program at the Faculty of Teacher Training and Education, Universitas Riau. The research employed a quantitative survey design to explore how students utilize ChatGPT in their reading activities. Data were collected through a questionnaire distributed to students to identify the frequency of use, purposes of use, and students’ perceptions regarding the effectiveness of ChatGPT in assisting reading comprehension. The findings indicate that many students frequently use ChatGPT to help them understand unfamiliar vocabulary, summarize texts, identify main ideas, and clarify complex sentences in English reading materials. In addition, students reported that ChatGPT helps them process information more efficiently and improves their overall understanding of academic texts. The results also reveal that students perceive ChatGPT as a practical and accessible learning support tool that enhances independent learning. However, the study also highlights the importance of using AI tools responsibly to avoid overreliance on technology in the learning process. Overall, this study suggests that ChatGPT can serve as a supportive digital resource for improving students’ reading comprehension skills in higher education contexts.
Co-Authors Fadly Azhar Hananto, Agustia Mahdum Shofia Hilabi, Shofa