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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi DIDAKTIKA : Jurnal Kependidikan
Syahrir Nawir Nur
Politeknik Negeri Media Kreatif
Education Electrical & Electronics Engineering

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Data Mining for Determining The Best Cluster Of Student Instagram Account As New Student Admission Influencer Ahmad Irfan Abdullah; Adri Priadana; Muhajir Muhajir; Syahrir Nawir Nur
Telematika Vol 18, No 2 (2021): Edisi Juni 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i2.5067

Abstract

Purpose: This study aims to apply the web data extraction method to extract student Instagram account data and the K-Means data mining method to perform clustering automatically to determine the best cluster of students' Instagram accounts as influencers for new student admissions.Design/methodology/approach: This study implemented the web data extraction method to extract student Instagram account data. This study also implemented a data mining method called K-Means to cluster data and the Silhouette Coefficient method to determine the best number of clusters.Findings/result: This study has succeeded in determining the seven best student accounts from 100 accounts that can be used as influencers for new student admissions with the highest Silhouette Score for the number of influencers selected between 5-10, which is 0.608 of the 22 clusters.Originality/value/state of the art: Research related to the determination of the best cluster of students' Instagram accounts as new student admissions influencers using web data extraction and K-Means has never been done in previous studies.
Language Barriers and Academic Interaction of Indonesian Postgraduate Students in Abroad Ferawaty Syam; Herman Resyadi; Nugrah Juniar Umar; Syahrir Nawir Nur; Hardianti; Widya Rizky Pratiwi
DIDAKTIKA Vol 20 No 01 (2026): DIDAKTIKA : JURNAL KEPENDIDIKAN
Publisher : Fakultas Tarbiyah Institut Agama Islam Negeri (IAIN) Bone

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30863/didaktika.v20i01.11651

Abstract

This study explores how Indonesian postgraduate students in Queensland University cope with language barriers in academic contexts through the use of personal strategies and institutional support. The research employed a qualitative design using semi-structured interviews. Two postgraduate students were selected through purposive sampling based on their length of study and experiences as international students. Data were analyzed thematically to identify recurring patterns and themes. The results show that students adopted various self-directed strategies, such as active participation in academic and social forums, practicing spoken English with peers, and engaging in extensive reading. Both participants also emphasized the importance of institutional support, including English conversation clubs, academic workshops, and Artificial Intelligence-related training programs, which significantly enhanced their academic engagement. Preparation for advanced academic tasks varied, one participant focusing on structured training and competitions, while the other emphasized content mastery and relied on institutional services to refine language skills. The study concludes that overcoming language barriers requires a combination of individual initiative and systematic institutional support, highlighting the need for integrated approaches to assist international students in academic settings.
Co-Authors Adri Priadana Ahmad Irfan Abdullah Ferawaty Syam Hardianti Herman Resyadi Muhajir Muhajir Nugrah Juniar Umar Widya Rizky Pratiwi, Widya Rizky