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Classification Analysis of English Proficiency Levels Based on TOEFL Test Data Using Decision Tree Muhammad Ikhsan; Muhammad Galih Ramaputra; Hendri Purnomo
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.6792

Abstract

English proficiency plays a significant role in education, employment, and global communication. The TOEFL test is frequently used as an indicator to measure competence in listening, reading, speaking, and writing. This study aims to classify English proficiency levels based on TOEFL test data using the Decision Tree algorithm. The model was constructed by considering test scores and demographic attributes to obtain accurate predictions. Evaluation results showed that the model achieved an accuracy of 9.5%, precision of 9.1%, recall of 9.5%, and an F1-score of 9.1%. Although the model’s performance was relatively low, this approach can reveal certain patterns within the data that may serve as a foundation for developing more targeted English language learning strategies. This research contributes to the understanding of factors influencing TOEFL scores and provides recommendations for designing effective learning programs.
Analisis Penerimaan dan Penggunaan Website Training Center di Universitas X Menggunakan Technology Acceptance Model (TAM) Muhammad Galih Ramaputra; Hendri Purnomo; M. Yhogha Ismail Ibn Ibrahim
Jurnal Komputasi Vol. 13 No. 2 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i2.285

Abstract

In the digital era, the use of information technology in education is crucial to enhance the effectiveness of learning and training. University X has developed a Training Center website as a supporting platform for academic and professional activities for students and educators. This study analyzes the acceptance and use of the website using the Technology Acceptance Model (TAM), with the main variables being Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Use (ATU), Behavioral Intention to Use (BI), and Actual System Usage (ASU). The research method employed is a quantitative survey through the distribution of questionnaires to students, lecturers, and educational staff. The results show that PU scored 75.2%, PEOU 8.69%, ATU 75.37%, and BI 77.5%, indicating that users have a positive perception of the benefits and intention to use the website, although there are still challenges regarding ease of use. To improve the website's effectiveness, it is recommended to optimize features, integrate with the Learning Management System (LMS), and enhance outreach and training for users. The results of this study are expected to serve as a basis for further development to increase the acceptance and usage of the Training Center website at University X.