Article Per Year (5 Year)
p-Index From 2020 - 2025
1.513
P-Index
This Author published in this journals
All Journal JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics jurnal Teknologi Informasi Magister Jurnal ULTIMATICS IJID (International Journal on Informatics for Development) SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Journal of Information Systems and Informatics Jurnal Pena Karakter : Jurnal Pendidikan Anak dan Karakter Jurnal Edukasi (Ekonomi, Pendidikan dan Akuntansi) Panrannuangku Jurnal Pengabdian Masyarakat Journal of Scientific Research, Education, and Technology
Aris Budianto, Aris
Universitas Sebelas Maret
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Mechanical Engineering Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Clustering Student Competencies Using the K-Means Algorithm Andini, Ratih Friska Dwi; Liantoni, Febri; Budianto, Aris
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.4071

Abstract

This study aims to evaluate the effectiveness of the K-Means algorithm in clustering student competencies. The subject of the study is students of the Informatics and Computer Engineering Education study program at a public university in Indonesia, with course score data representing various areas of competence as features. The K-Means algorithm is used to group student data into several clusters based on academic grade patterns. The results show that the K-Means algorithm is quite effective in identifying the initial pattern of student competence, with a Silhouette Score of 0.3489, which falls into the medium category. This study concludes that the use of the K-Means algorithm alone is sufficient to support the analysis of student areas of competence, with potential applications as a recommendation system for students in choosing elective courses and as an evaluation tool for study programs to identify areas of competence that need improvement.
Developing Learning Material for Writing Descriptive Essays Assisted by an Animated Video Hoesny, Mariana Ulfah; Peruzzi, Erico; Budianto, Aris
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 3 (2025): Vol. 4 No. 3 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i3.891

Abstract

This study developed writing materials and animated videos to improve students’ essay writing at the State Polytechnic of Malang. Following Richey and Klein’s five-phase Design and Development Research model, analysis through questionnaires and interviews identified grammar difficulties and low motivation as major writing challenges. To address these, the researcher created a module with reading passages, grammar sections, and QR-linked animated videos. The final product was field-tested with students, yielding positive feedback (some noted video pacing issues). The final product scored 72.43% in the evaluation, confirming its effectiveness in supporting essay writing. Students appreciated the engaging visuals, clear explanations, and bilingual format. Integrating animation into traditional writing materials enhanced student understanding and motivation. This module and video series serve as a practical, innovative instructional tool. Future work should improve video pacing and add interactive learning features.
Improving IT Governance Maturity at Universitas Sebelas Maret Using COBIT 2019 Setyawan, Haidar Hendri; Khadija, Mutiara Auliya; Budianto, Aris
Journal of Information System and Informatics Vol 7 No 3 (2025): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i3.1200

Abstract

This study evaluates and improves the IT governance maturity of the Directorate of ICT at Universitas Sebelas Maret using the COBIT 2019 framework. The evaluation was driven by increasing IT complexity, resource inefficiencies, and low risk management capability. A case study approach applied COBIT 2019 domains to assess practices and identify gaps, with data gathered through interviews, observations, and document analysis. Significant deficiencies were found in six key processes. The highest gap score is APO12 (Managed Risk) at 1.89, followed by DSS04 (Managed Continuity) at 1.88, DSS01 (Managed Operations) at 1.75, APO14 (Managed Data) at 1.74, DSS05 (Managed Security) at 1.57, and the lowest is APO01 (Managed I&T Framework) at 1.27, with all domains targeting a maturity level of 3. Results indicate current maturity scores fall below expectations, highlighting the need for systematic improvement. A phased strategic plan was developed for short, medium, and long-term priorities, aligned with resources and organizational needs. The study demonstrates that structured implementation of COBIT 2019 can enhance governance alignment, improve risk control, and ensure sustainable ICT performance, providing a roadmap for future IT governance at the university.
Pengaruh Good Corporate Governance dan Pertumbuhan Aset Terhadap Tax Avoidance pada Perusahaan Energi Sugeng, Andry; Purnomo, Endri; Budianto, Aris
Jurnal Edukasi (Ekonomi, Pendidikan dan Akuntansi) Vol 12, No 1 (2024): Juni
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/je.v12i1.14081

Abstract

Penelitian ini bertujuan untuk menganalisis dan memperoleh bukti empiris tentang pengaruh good corporate governance dan pertumbuhan aset terhadap tax avoidance pada perusahaan sektor energi yang terdaftar di BEI periode 2020-2022. Variabel independen dalam penelitian ini adalah kepemilikan institusional, komisaris independen, komite audit sebagai implementasi dari good corporate governance dan pertumbuhan aset. Sedangkan variabel dependen dalam penelitian ini adalah tax avoidance. Pengumpulan sampel dilakukan menggunakan metode purposive sampling sehingga jumlah sampel didapatkan sebanyak 12 perusahaan dengan rentang waktu 3 tahun, maka didapatkan 36 data laporan keuangan perusahaan sebagai observasi penelitian. Metode analisis penelitian ini menggunakan analisis regeresi data panel dengan alat bantu staitistik eviews 12. Dengan melakukan uji statistik deskriptif, uji pemilhan model, uji asumsi klasik dan uji hipotesis. Hasil penelitian ini menunjukkan bahwa secara simultan kepemilikan institusional, komisaris independen, komite audit dan pertumbuhan aset berpengaruh signifikan terhadap tax avoidance. Kemudian secara parsial kepemilikan institusional berpengaruh signifikan terhadap tax avoidance. Sedangkan komisaris independen, komite audit dan pertumbuhan aset secara parsial tidak berpengaruh terhadap tax avoidance.
Co-Authors Andini, Ratih Friska Dwi Astuti, Vita Azari, Fadhilah Rizky Dewa, Radeca Angga Dewanto Harjunowibowo Endri Purnomo Esanudin, Rosyid Febri Liantoni, Febri Indah Widiastuti Ischaq, Diah Fitriani Maula Isnantyo, Fajar Danur Khadija, Mutiara Auliya Meliana, Vera Moechammad Sarosa Nabila, Salima Khana Nafiah, Nafiah Pambudi, Nugroho Agung Peruzzi, Erico Prihantari, Arrizka Puspanda Hatta Rosihan Ariyuana, Rosihan Rudy Hartanto Sari, Dinna Mika Setyawan, Haidar Hendri Sri Hartati Sugeng, Andry Sukatiman Sukatiman Teguh Bharata Adji Wahyudi, Muhamad Nur Azmi Widodo, Cahyo Yunizar, Safira