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All Journal Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Sulaiman
Universitas Negeri Makassar
Humanities Education Library & Information Science Mathematics Social Sciences Other

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Implementasi Hypnoteaching Dalam Pembelajaran pada Guru-guru Matematika di Kabupaten Takalar Jafaruddin; Ilham Minggi; Sulaiman
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 2 (2023): Volume 02 Nomor 02 (Oktober 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v2i2.834

Abstract

This Community Service Program aims to improve the professionalism of educators and education personnel through the application of Hypnoteaching. The main focus is to make learning more engaging and effective by ensuring teachers are able to identify, explain and implement Hypnoteaching models according to the subjects taught. The training process involves key steps, from introducing the concept of Hypnoteaching to providing guided exercises to put it into practice.The results of the training showed significant changes in the participating teachers. They experienced improved understanding and skills in applying Hypnoteaching, creating a supportive and relaxed learning environment. Periodic evaluations showed consistent improvement, supported by teachers' high internal motivation. This PKM program makes a positive contribution to mathematics learning by empowering teachers through this innovative approach, creating a positive impact on students' learning experience
Analisis K-Medoid Untuk Pemetaan Tingkat Pencemaran Udara di Provinsi Sulawesi Selatan Irwan; Maya Sari Wahyuni; Sulaiman
Journal of Mathematics, Computations and Statistics Vol. 5 No. 2 (2022): Volume 05 Nomor 02 (Oktober 2022)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Cluster analysis serves to group objects with high similarity of characteristics in one cluster while objects with dissimilarity of characteristics are in different clusters. Cluster analysis is divided into two, namely hierarchical and non-hierarchical. This study applies a non-hierarchical cluster analysis, namely the k-medoid method to group districts/cities and their four sectors, namely transportation, industrial/agroindustrial, residential, office/commercial in South Sulawesi Province based on indicators that make up the 2019 Air Quality Index (AQI) value and 2020. AQI are categorized based on six Environmental Quality Index (EQI) statuses. To get the best clusters from the k-medoid process, each cluster needs to be evaluated using the silhouette coefficient value. The results of this study indicate that k = 2 clusters from the k-medoid method are the best cluster initiations with the best silhouette coefficient value of 0.56. The results of the analysis of the cluster results show that with the use of 2 clusters, for 2019 passive sampler data, cluster 1 is included in the very good EQI category with a AQI value of 84.14 and cluster 2 is in the less EQI category with an AQI value of 60.04. For the 2020 passive sampler data, cluster 1 is included in the good EQI category with a AQI value of 80.68 and cluster 2 is in the less EQI category with a AQI value of 61.53.
Co-Authors Ilham Minggi Irwan Jafaruddin Wahyuni, Maya Sari