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INDONESIA
NUMERICAL (Jurnal Matematika dan Pendidikan Matematika)
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
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Articles 12 Documents
Search results for , issue "Vol. 5 No. 1 (2021)" : 12 Documents clear
The Effect of Hypnoteaching Learning Method on Students’ Problem-Solving Skills and Concept Understanding Fitria Adelita; Achi Rinaldi; Fredi Ganda Putra
Numerical: Jurnal Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2021)
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v5i1.1391

Abstract

The purpose of this study is to know the impact of the method (hypnoteaching) on problem solving and conceptual comprehension of learners. This research represents the kind of research quasy experimental design. The sampling technique used is a random sampling cluster. The population in this study is the entire class vii MTS sa raudlatul huda al-islamy. The samples in this study are vii classes and vii class. the tools used are the test of problem solving and concept understanding. The multivariate analysis of variant (manova) with its degree of significance: 0.05, and concluding (1) is influenced by methods (hypnoteaching) on the faculty's problem-solving ability (2) there is the influence of the method (hypnoteaching) on the ability of discerning the learner's concept (3) on the influence of the method (hypnoteaching) on the problem solving and comprehension of learners.
Application of Cluster Analysis Using Agglomerative Method Muhammad Rais Ridwan; Heri Retnawati
Numerical: Jurnal Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2021)
Publisher : Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v5i1.1538

Abstract

Improving the quality of human resources is the main supporting factor in increasing national productivity in various fields and development sectors. The government's productive investment activities that spur the nation's competitiveness in the global era prioritize Indonesia's education development. This study aims to cluster provinces in Indonesia based on educational indicators using the Agglomerative method consisting of the Average Linkage and Ward methods. Data collection is based on documentation techniques obtained from Statistics Indonesia in 2018. Data analysis used hierarchical cluster analysis consisting of data standardization, determining the size of the similarity or dissimilarity between data, the clustering process with a distance matrix, and seeing the characteristics of the cluster results formed. The second clustering method is by doing the initial grouping and determining the excellent cluster based on the average standard deviation ratio to the standard deviation between groups. Clustering results show the Ward method with the number of collections as many as 4 clusters and produces a ratio with a value of 0.01 smaller than the Average Linkage method. It shows that the cluster analysis method using the Ward method has better group accuracy quality than the Average Linkage method.

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