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Yulisman Zega

Universitas Nias

Author-ID : 5599505

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Physics Social Sciences Other

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The Effect of Course Review Horay Type Cooperative Learning Model on Mathematical Problem Solving Ability of Class X Students of SMK Negeri 3 Gunungsitoli Enike Zebua; Yulisman Zega
Edumaspul: Jurnal Pendidikan Vol 7 No 2 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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Mathematics is an important subject for students to master at school. However, in reality, students at SMK Negeri 3 Gunungsitoli still experience obstacles in solving mathematical problems because the learning process uses conventional learning models. So students are unable to answer the questions given by the teacher. The aim of this research is to find out whether there is an influence of the Course Review Horay learning model on students' mathematical problem solving abilities at SMK Negeri 3 Gunungsitoli. This type of research is quasi-experimental with a quantitative paradigm. The learning model used is the Course Review Horay model. The first step is to convey the material that will be presented, the second step is to explain the material, the third step is for students to discuss the material that has been explained. Furthermore, the results of this research were obtained based on hypothesis testing, namely tcount = 4.12 and ttable = 1.67 Because tcount = 4.12 > ttable = 1.67, then reject Ho and accept H1, which means: "There is an influence of the learning model Course Review Hooray on students' mathematical problem solving abilities. So it can be concluded that the Course Review Horay learning model has an influence on students' mathematical problem solving abilities.

The Effect of Manipulative Learning Media on Students' Mathematical Concept Understanding Ability in SMP Swasta Mawar Erlis Chrisanti Lase; Yulisman Zega
Edumaspul: Jurnal Pendidikan Vol 7 No 2 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

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One of the problems in learning mathematics at SMP Swasta Bunga Mawar is that students' ability to understand mathematical concepts is still lacking. The aim of this research is to determine the effect of manipulative learning media on students' ability to understand mathematical concepts at SMP Swasta Bunga Mawar. This type of research is quantitative research using a quasi-experimental method (quasi experimental design). This research was carried out at SMP Swasta Bunga Mawar, with the research population being class IX for the 2023/2024 academic year. The research sample was taken by random sampling, the classes that were the research sample were class IX-B as the experimental class, and class IX-C as the control class. The instrument used in this research is a written test in the form of a description test and consists of an initial test and a final test. The research results showed that the average initial test score obtained by the experimental class was 53.75 (poor category) and the control class was 40.89 (poor category). while the average final test score for the ability to understand mathematical concepts obtained by the experimental class was 71.60 (good category) and the control class was 55.18 (fair category). From the research results obtained based on hypothesis testing, namely th = 3.994 and tt= 1.701. Because th = 3.994> tt= 1,701, then reject H0 and accept Ha which means "There is an influence of manipulative learning media on ability students' understanding of mathematical concepts at SMP Swasta Bunga Mawar”.

IMPLEMENTASI ALGORITMA MACHINE LEARNING UNTUK DETEKSI PERFORMA AKADEMIK MAHASISWA Mitra Novitri Waruwu; Yulisman Zega; Ratna Natalia Mendrofa; Yakin Niat Telaumbanua
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 5 No. 2 (2024): Desember 2024
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v5i2.214

Student academic performance is a key indicator of successful study program management. Detection of academic performance can help study program managers monitor and take proactive action against students who are potentially experiencing difficulties. Machine learning can be a solution to this challenge by assisting in the classification and detection of students' academic abilities. Machine learning techniques have proven to be very effective in analyzing complex data and uncovering hidden patterns that are difficult to detect by humans. This research aims to explore the implementation of machine learning algorithms in detecting students' academic performance, especially in the Mathematics Education Study Program at Nias University. With the advancement of technology, machine learning has proven to be effective in classifying data and detecting hidden patterns that traditional methods cannot identify. This research uses the Support Vector Machine (SVM) algorithm to predict student academic performance based on a dataset collected from student primary data. The dataset includes factors such as GPA, attendance, participation, and use of learning resources. The analysis results show that the SVM model used has an accuracy of 77.59%, with a bias that is more inclined to the class of students with good academic performance. The results of this study are expected to make a practical contribution in the development of more effective learning methods and personalization of academic interventions in higher education.

Co-Authors Agnes Rosdiana Telaumbanua Amin Otoni Harefa Angelia Linia Murni Waruwu Buulolo, Marnus Buulolo, Wining Helsavania Enike Zebua Erlis Chrisanti Lase Eunike Zai Gea, Alfandy Gulo, Devi Ratna Sari Gulo, Rahmat Juang Halawa, Notarius Halawa, Nova Martilina Halawa, Polinus Halawa, Sahabat Harefa , Amin Otoni Harefa, Ahmad Din Hia, Oidika Mawarni Hulu, Krisnatal Hulu, Wikari Intan Wirna Waruwu Jeliswan Berkat Iman Jaya Gea Juni Yanto Zebua Laia, Dimaria Lase, Jupi Yarman Lase, Rama'eli Lase, Trisna Wahyu Ningsi Lawuna, Memori Putra Meiman Harapan Zega Melinia Harefa Mendrofa, Ratna Natalia Mendrofa, Sri Jernih Popy Yamin Mitra Novitri Waruwu Monika Zebua Ndraha, Mei Tri Murni NETTI KARIANI MENDOFA Novetrianus Tafonao Novetrianus Tafonao Nur Ayu Zebua Parta Telaumbanua Polinus Halawa Rama’eli Lase Rintis Kharisna Putri Zega Sabarsudi Mendrofa Sadiana Lase Salima Zai SALOME WARUWU Telaumbanua, Nobuala Telaumbanua, Ovitarni Telaumbanua, Yakin Niat Waruwu, Defitriani Waruwu, Nofati Winistina Giawa Wirdayanti Zebua Yudika Zebua Zalukhu, Anna Fertika Zebua, Diani Astuti Zebua, Ikke Afdolitha Zebua, Siska Yanti Zebua, Soniat Mekartini Zebua, Viktor Zega, Hakiki Necis Zega, Odismeri Zega, Silih Mentari Zendrato, Pniel Sozawato Ziliwu, Erawan Darma

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