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Nina Adelya; Salmi Wati; Charles Charles; Afrinaldi Afrinaldi

Jurnal Ilmu Sosial, Bahasa dan Pendidikan 2023 Pusat Riset dan Inovasi Nasional

This research was motivated by the low learning outcomes of class VIII FIKIH MTsN 10 Agam. Researchers see the low UTS scores and the way student learn is still lacking during the FIKIH learning process. The hypothesis and this research is that the use of the Number Heads Together (NHT). On the learning outcomes of class VIII FIKIH MTsN 10 Agam. This research is a quantitative research using a quasi – experimental research design. The population in this study were all students of class VIII MTsN 10 Agam and the sample classes were class VIII 2 and class VIII 4. The instrument that the researcher used was the results of the FIKIH subject test in the form of multiple choice questions. As many as 20 questions with als material. The result of the reseach conducted by the researcher showed that the percentage of students completeness was hinger than the percentage of students completeness in the control class average score of 79,76 in the experimental class while in the control class there where  21 students who achieved KKM only 8 students with an average of 62,38 with a percentage of 86% experimental completeness and control class completeness 38% influence of the Number Heads Together (NHT) cooperative learning model on student learning outcomes in the FIKIH alms subject class VIII MTsN 10 Agam

Muhammad Rifqi Firdaus; Amin Nur Rais

Jurnal Elektronika dan Komputer 2022 STEKOM PRESS

Science and technology will facilitate human work. However, on the other hand it will increase competition. In facing intense competition, it is necessary to have competent human resources. Students are expected to be academically prepared, in the form of knowledge and skill readiness to face increasingly fierce competition. One way to see student competence is to look at learning outcomes that can be represented by the exam scores taken. The midterm exam (UTS) is a form of exam which is an assessment component. By knowing the UTS scores, the lecturer knows the distribution of students in terms of academic competence. For this reason, it is necessary to group (clustering) using the k-means algorithm as a consideration for lecturers in forming student study groups based on UTS value clusters.