Hilda Tri Yulianti
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Analysis of English Score Data as an Indicator of Graduate Learning Outcomes Achievement Using a Data-Driven Approach Nurhayati; Hilda Tri Yulianti
Techno Xplore: Journal of Computer Science and Information Technology Vol. 11 No. 1 (2026): Techno Xplore: Jurnal Ilmu Komputer dan Teknologi Informasi
Publisher : Informatics Engineering, Faculty of Engineering and Computer Science, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/7ma3fh89

Abstract

This study investigates the utilization of English score data as an indicator of graduate learning outcomes achievement in Informatics Engineering programs through a data-driven approach. A dataset comprising 9894 student English Score records was analyzed using a combination of descriptive statistics, machine learning classification, clustering techniques, and deep learning models. The study aims to evaluate students’ English proficiency levels and explore the potential of artificial intelligence (AI) methods in supporting academic decision-making. The results reveal that the average English score (235.78) is significantly below the CPL threshold (≥260), with only 33.90% of students meeting the required standard, indicating a substantial gap in English proficiency achievement. Classification models demonstrate strong predictive capability in distinguishing student performance categories, while clustering analysis reveals distinct groupings of student proficiency levels. Furthermore, a 1D Convolutional Neural Network (CNN) model demonstrates the feasibility of deep learning approaches in modeling educational data. The findings highlight the importance of integrating AI-based analytics into academic evaluation systems to support Outcome-Based Education (OBE). This study contributes to the development of a data-driven framework for continuous quality improvement and provides insights for designing targeted interventions to enhance student competencies..
EXPLORING STUDENTS’ HABITS IN ENHANCING ENGLISH-SPEAKING ABILITY: A STUDY AT THE FACULTY OF PSYCHOLOGY, BUANA PERJUANGAN KARAWANG UNIVERSITY Anggun Pertiwi; Nur Ainy Sadijah; Hilda Tri Yulianti; Depi Prihamdani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.44219

Abstract

Considering the importance of English-speaking ability in both academic contexts and daily communication, this study explores students’ everyday habits that support the mastery of speaking, including fluency, pronunciation, and verbal interaction. The purpose of this research is to identify habits that contribute to the development of English-speaking ability among students. A qualitative descriptive approach was employed, with data collected through classroom observation and in-depth interviews. The participants were second-semester students from the Psychology Study Program, Faculty of Psychology, Universitas Buana Perjuangan Karawang. The findings reveal eight key habits that enhance speaking performance: practicing self-monologues, watching films and repeating vocabulary, listening to songs, recording new vocabulary, reading English texts, engaging in social interaction, using learning applications, and setting gadgets to English. These habits indicate that effective English learning extends beyond formal instruction and is shaped by reflective, contextual, and sustained personal practices. The study provides implications for the development of adaptive learning strategies that integrate cognitive and behavioral aspects of language acquisition.