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Data Speaks: District Clustering Map to Reveal Basic Education Problems in Samarinda City Oroh, Chiko Zet; Dani, Andrea Tri Rian; Muawanah, Chusnul; Sitinjak, Jesselin Paskalis; Ibaad, Muhammad Irsadul; Mislan, Mislan; Kosasih, Raditya Arya
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.3938

Abstract

Education is an effort to create a learning environment and educational process that encourages the development of students' potential. One of the statistical methods that can be used in the field of education is cluster analysis. Average linkage is a hierarchical clustering algorithm that groups objects based on the average distance between objects in different clusters. In this study, sub-districts were grouped based on education indicators at the primary/elementary level in Samarinda City in 2023. The results of this research obtained 2 clusters that were the most optimal because they had the highest Silhouette coefficient value. Cluster 1 contains the subdistricts of Samarinda Ulu and Sungai Kunjang, while cluster 2 contains the subdistricts of North Samarinda, Palaran, Sungai Pinang, Sambutan, Loa Janan Ilir, Samarinda Ilir, Samarinda Seberang, and Samarinda Kota. Cluster 1 has an advantage over cluster 2 in several aspects of education. Cluster 1 shows a higher average in terms of the number of students, the number of classrooms, the number of institutions, the number of certified teachers, and the number of A-accredited schools at the primary/secondary level in Kota Samarinda in 2023.
PELATIHAN ANALISIS DATA DENGAN SOFTWARE R BAGI SISWA SMA NEGERI 8 SAMARINDA Sari, Nariza Wanti Wulan; Sifriyani, Sifriyani; Suyitno, Suyitno; Wahyuningsih, Sri; Yuniarti, Desi; Purnamasari, Ika; Mahmudah, Siti; Nurmayanti, Wiwit Pura; Widyaningrum, Erlyne Nadhilah; Nugraha, Pratama Yuly; Pangruruk, Thesya Atarezcha; Hidayanty, Nurul Ilma; Kosasih, Raditya Arya; Bahriah, Ayu
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2136

Abstract

Students of SMA Negeri 8 Samarinda have received material on statistics since grade X. In the learning process, teachers use Microsoft Office Excel software which is closed source. So through this community service activity, a solution is provided by disseminating data analysis and alternative open source software 'R'. Community service activities are packaged in the form of training. Evaluation of activities in the form of pretest and posttest questionnaires and activity feedback surveys. This activity was carried out on September 11, 2024 in the Computer Laboratory Room of SMA Negeri 8 Samarinda. The number of students who participated in this activity consisted of 36 students. Based on the analysis of the pre-test and post-test data, it was concluded that there was an increase in student understanding after the training. The results of the feedback stated that the training material was easy, the explanations given were considered interesting, and the training activities were considered useful by the participants. Furthermore, participants hope that there will be follow-up activities to hold similar activities again.