Article Per Year (5 Year)
p-Index From 2021 - 2026
3.575
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Pendidikan JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika JCRS (Journal of Community Research and Service) Jurnal Mantik BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan INFOKUM Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Seminar Nasional Pengabdian Kepada Masyarakat QISTINA: Jurnal Multidisiplin Indonesia Jurnal Penelitian Pendidikan Indonesia The Indonesian Journal of Computer Science
Putri, Tansa Trisna Astono
Universitas Negeri Medan
Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)

 1 
The impact of the project-based learning (PBL) on the motivation of first-year students at Universitas Negeri Medan Hasan, Hanapi; Jalinus, Nizwardi; Abdullah, Rijal; Ambiyar, Ambiyar; Fadhilah, Fadhilah; Putri, Tansa Trisna Astono
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.17973

Abstract

The goal of this study is to look at the effect of new learning approaches like project based learning (PBL) on the enthusiasm for studying of undergraduates at Universitas Negeri Medan. In the quasi-experimental design, the Times-Series Design with Control Group was used. The one-way ANOVA test was used to evaluate the data. The results demonstrated that the pretest and posttest motivation questionnaires in the control and experimental classes of the PBL paradigm differed. The mean of pretest motivation score for the experiment group was 3.50, by input score that varied from 3.00-3.97 and a standard deviation of 0.58. The mean of posttest motivation score for the experiment group was 3.83, by a score that ranged from 3.03-4.00 and a standard deviation of 0.61.
Evaluation on Students’ Achievement for Outcome Based Education on Engineering Students Hasan, Hanapi; Ambiyar, Ambiyar; Rizal, Fahmi; Maksum, Hasan; Putri, Tansa Trisna Astono
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20014

Abstract

This article explores the implementation and impact of Outcome-Based Education (OBE) in engineering programs, emphasizing the shift from traditional methods to focusing on students' higher-order thinking and practical skills. It highlights how various educational standards, such as those from Engineers Australia and ABET, align with OBE principles. Using an anonymous online survey, the study evaluates the Program Educational Objectives (PEOs) achievement among graduates from the Mechanical Engineering Education Department at Universitas Negeri Medan. The survey covers graduates' skills in areas like mathematical tools, 3D modeling, and engineering project execution. Results indicate that while some PEOs are satisfactorily achieved, others, such as PEO3 (3D modeling skills) and PEO7 (experimental approaches), require improvement. The study suggests enhancing curriculum components to better align with industry needs and continuously improve educational quality. Future research should incorporate employer feedback to provide a more comprehensive evaluation of graduates' preparedness.
Academic Performance Prediction of PTIK Students through Machine Learning Models at Universitas Negeri Medan Tansa Trisna Astono Putri; Reni Rahmadani; Rosma Siregar; Hanapi Hasan
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29570

Abstract

This study addressed the need for an effective approach to predicting student academic performance in higher education using data-driven methods. The study aimed to implement machine learning models to predict the academic performance of students in the Information and Communication Technology Education Study Program at Universitas Negeri Medan. A quantitative predictive design was employed using a dataset of 40 student records. Five classification models were tested, namely Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, and Naïve Bayes. The results showed that all models produced strong predictive performance. Decision Tree achieved the highest accuracy at 93.1%, Logistic Regression produced the highest precision at 95.9% and the highest F1-score at 93.2%, while Support Vector Machine obtained the highest recall at 93.2%. These findings indicated that machine learning was feasible for predicting student academic performance in the study program. The study concluded that Logistic Regression provided the most balanced overall performance and had strong potential to support early academic intervention and data-based academic decision making in higher education.
Co-Authors Abdullah, MT, Dr. Rijal Adilla Ulfhi Adwiyah, Rabiatul Al Farishi, M Farid Ambiyar, Ambiyar Ami, Hutri Asmar Yulastri Azmi Rizky Lubis Baharuddin . Baharuddin Baharuddin Bakti Dwi Waluyo Barus, Tirta Yasa Agung Bayu Angga Wijaya Calista, Sandha Dwiki Muda Yulanto Fadhilah Fadhilah Fahmi Rizal Fali, Rifki Fattah, M Faturrahman, M Nadhif Ganefri Ginting, Ariyantika Br Gorat, Loveyanni Marito Benedikta Hanapi Hasan Hasan Maksum Hesti Fibriasari Hesti Fibriasari Jauharah, Jauharah Khofifah Qalbun Salima Lubis, Khodijah May Nuri Manurung, Ricardo Mardhiyah, Hanifah Marta, Rizkayeni Maulana, Bagoes Maulidiyah, Ratna Mendoza, Muhammad Dominique Mhd. Dominique Mendoza Muhammad Fadhiel Alie Nazwa, Safira Nizwardi Jalinus Nurilam Harianja Nurrahma, Suci Olnes Y. Hutajulu Perdana, Nugraha Aditama Putra Rahmadany, Savitri Rahmadhani, Alfi Rahmi, Alya Ramadani, Nadila Reni Rahmadani Ressy Dwitias Sari Rosma Siregar Saragi, Frans Jhonatan Sarumaha, Matius Irvan Savitri Rahmadany Siman Sinaga, Novi Novani Sitorus, Andika Syahputra, Fahmy Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Tengku Ratna Soraya Uyuni Widiastuti Waskito Wulansari, Rizky Ema Zai, Frans Pratamarifai Doya