Data Speaks: District Clustering Map to Reveal Basic Education Problems in Samarinda City

Article Sidebar

Page Numbers: 972-985
Download PDF
Published: Dec 1, 2024
Digital Object Identifier: 10.58578/ajstea.v2i6.3938
Save this to:
Article Metrics:
Viewed: 146 times
Downloaded: 188 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (0.00)
Check for article on SINTA:

We cordially invite qualified professionals to join LYAS Publisher as Editors or Reviewers. Your expertise will contribute significantly to maintaining the quality of our publications. If you are interested, please complete the following form: Call for Editors & Reviewers

Connected Papers:
Connected Papers

Please feel free to contact us if you need more information about the submission process or have any further questions.

Authors:
Chiko Zet Oroh1, Andrea Tri Rian Dani2*, Chusnul Muawanah3, Jesselin Paskalis Sitinjak4, Muhammad Irsadul Ibaad5, Mislan Mislan6, Raditya Arya Kosasih7
Copyright :

Authors retain copyright and grant the journal right of first publication.


Main Article Content

Chiko Zet Oroh
Mulawarman University, Samarinda, Indonesia
Andrea Tri Rian Dani
Mulawarman University, Samarinda, Indonesia
Chusnul Muawanah
Education and Culture Department of Samarinda City, Samarinda, Indonesia
Jesselin Paskalis Sitinjak
Mulawarman University, Samarinda, Indonesia
Muhammad Irsadul Ibaad
Mulawarman University, Samarinda, Indonesia
Mislan Mislan
Mulawarman University, Samarinda, Indonesia
Raditya Arya Kosasih
Mulawarman University, Samarinda, Indonesia

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.

Keywords:
Share Article:

Citation Metrics:

 Scopus



Downloads

Download data is not yet available.

Article Details

How to Cite
Oroh, C. Z., Dani, A., Muawanah, C., Sitinjak, J. P., Ibaad, M. I., Mislan, M., & Kosasih, R. A. (2024). Data Speaks: District Clustering Map to Reveal Basic Education Problems in Samarinda City. Asian Journal of Science, Technology, Engineering, and Art, 2(6), 972-985. https://doi.org/10.58578/ajstea.v2i6.3938

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Ahmad Zikir, Khalilah Nurfadilah, Irwan, & Adiatma. (2022). Perbandingan Metode Clustering Dengan Menggunakan Metode Average Linkage dan Metode K-Means Pada Industri Kecil dan Menengah Di Kabupaten Wajo. Jurnal MSA ( Matematika Dan Statistika Serta Aplikasinya), 10(2), 57–62. https://doi.org/10.24252/msa.v10i2.31333

Alwi, W., & Hasrul, M. (2018). Analisis Klaster Untuk Pengelompokkan Kabupaten/Kota Di Provinsi Sulawesi Selatan Berdasarkan Indikator Kesejahteraan Rakyat. Jurnal MSA ( Matematika Dan Statistika Serta Aplikasinya ), 6(1), 35. https://doi.org/10.24252/msa.v6i1.4782

Bali, E. N., Bunga, B., & Kale, S. (2022). Kampus Mengajar: Upaya Transformasi Mutu Pendidikan Sekolah Dasar Di Nusa Tenggara Timur. Jurnal Pendidikan Dasar Flobamorata, 3(1), 237–241. https://doi.org/10.51494/jpdf.v3i1.658

Dani, A. T. R., Wahyuningsih, S., & Rizki, N. A. (2019). Penerapan Hierarchical Clustering Metode Agglomerative pada Data Runtun Waktu. Jambura Journal of Mathematics, 1(2), 64–78. https://doi.org/10.34312/jjom.v1i2.2354

Dani, A. T. R., Wahyuningsih, S., & Rizki, N. A. (2020). Pengelompokkan Data Runtun Waktu menggunakan Analisis Cluster (Studi Kasus: Nilai Ekspor Komoditi Migas dan Nonmigas Provinsi Kalimantan Timur Periode Januari 2000-Desember 2016). Jurnal EKSPONENSIAL, 11(1), 29–38.

Facendola, R., Ottomano Palmisano, G., De Boni, A., Acciani, C., & Roma, R. (2023). Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis. Sustainability (Switzerland), 15(13). https://doi.org/10.3390/su15139915

Fajri, N. (2021). at-Tarbiyah al-Mustamirrah : Jurnal Pendidikan Islam Implementasi Penguatan Pendidikan Karakter di Satuan Pendidikan Sekolah Dasar. Jurnal Pendidikan Islam, 2, 1–10.

Faujia, R. A., Setianingsih, E. S., & Pratiwi, H. (2022). Analisis Klaster K-Means Dan Agglomerative Nesting Pada Indikator Stunting Balita Di Indonesia. Seminar Nasional Official Statistics, 2022(1), 1249–1258. https://doi.org/10.34123/semnasoffstat.v2022i1.1511

Hermanto, B. (2020). Perekayasaan sistem pendidikan nasional untuk mencerdaskan kehidupan bangsa. Foundasia, 11(2), 52–59. https://doi.org/10.21831/foundasia.v11i2.26933

Laamena, N. S., & Talib, T. (2023). Penerapan Analisis Klaster Hierarki Untuk Pengelompokan Kabupaten/ Kota Di Provinsi Maluku Berdasarkan Status Pendidikan. Science Map Journal, 5(1), 10–18. https://doi.org/10.30598/jmsvol5issue1pp10-18

Margiati, D. P., & Puspaningtyas, N. D. (2021). Implementasi Manajemen Pendidikan Sekolah Dasar Negri 1 Sidodadi. Journal of Arts and Education, 1(1), 39–44. https://doi.org/10.33365/jae.v1i1.28

Munirah. (2015). Sistem Pendidikan di Indonesia antara Keinginan dan Realita. Fakultas Tarbiyah Dan Keguruan UIN Alauddin Makassar, 2(2), 233–245.

Novidianto, R., Tri, A., Dani, R., & Hubei, P. (2020). DI INDONESIA BERDASARKAN DATA DERET WAKTU Pada Desember Pneumonia misterius pertama kali dihubungkan dengan hewan kelelawar yang menular ke hewan lain sebelum menjangkiti manusia . Mulai akhir bulan Desember 2019 meningkat . Tidak sampai satu bulan , COVI. 15–24.

Paramadina, M., Sudarmin, S., & Aidid, M. K. (2019). Perbandingan Analisis Cluster Metode Average Linkage dan Metode Ward (Kasus: IPM Provinsi Sulawesi Selatan). VARIANSI: Journal of Statistics and Its Application on Teaching and Research, 1(2), 22. https://doi.org/10.35580/variansiunm9357

Rahayu, P., Resnani, R., & Kustianti, S. K. (2019). Pemahaman Siswa Terhadap Bahan Ajar Muatan Lokal Bahasa Daerah Bengkulu Kelas IV SDN 04 Bengkulu (Uji Coba Bahan Ajar). JURIDIKDAS: Jurnal Riset Pendidikan Dasar, 2(1), 47–53.

Ramadani, R., & Salma, A. (2022). Metode Average Linkage Dan Ward Dalam Pengelom Pokan Kesejahteraan Sumatera Barat Tahun 2021. Journal Of Mathematics UNP, 7(3), 11–24.

Reinaldi, Y., Ulinnuha, N., & Hafiyusholeh, M. (2021). Comparison of Single Linkage, Complete Linkage, and Average Linkage Methods on Community Welfare Analysis in Cities and Regencies in East Java. Jurnal Matematika, Statistika Dan Komputasi, 18(1), 130–140. https://doi.org/10.20956/j.v18i1.14228

Rembulan, G. D., Wijaya, T., Palullungan, D., Alfina, K. N., & Qurthuby, M. (2020). Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster. JIEMS (Journal of Industrial Engineering and Management Systems), 13(2). https://doi.org/10.30813/jiems.v13i2.2280

Sadewo, D. S. (2021). Hubungan Perhatian Orang Tua terhadap Motivasi Belajar Anak dalam Mengerjakan Perkerjaan Rumah. Jurnal Pendidikan Dan Pembelajaran Sekolah Dasar, 1(2), 59–66.

Safitri, K. (2020). Pentingnya Pendidikan Karakter Untuk Siswa Sekolah. Jurnal Pendidikan Tambusai, 4(1), 264–271.

Satriatama, A. E., Wibowo, A. P., Arnold, I. G. N., Pratama, R. B., Masyhuda, T. A., Agusti, Y. A., Purwanti, E., & Werdiningsih, I. (2023). Analisis Klaster Data Pasien Diabetes untuk Identifikasi Pola dan Karakteristik Pasien. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(3), 172–182. https://doi.org/10.47233/jteksis.v5i3.828

Suhaeni, C., Kurnia, A., & Ristiyanti, R. (2018). Perbandingan Hasil Pengelompokan menggunakan Analisis Cluster Berhirarki, K-Means Cluster, dan Cluster Ensemble (Studi Kasus Data Indikator Pelayanan Kesehatan Ibu Hamil). Jurnal Media Infotama, 14(1). https://doi.org/10.37676/jmi.v14i1.469

Wahyuni, S., & Jatmiko, Y. A. (2019). Pengelompokan Kabupaten/Kota di Pulau Jawa Berdasarkan Faktor-Faktor Kemiskinan dengan Pendekatan Average Linkage Hierarchical Clustering. Jurnal Aplikasi Statistika & Komputasi Statistik, 10(1), 1. https://doi.org/10.34123/jurnalasks.v10i1.197

Widyawati, W., Saptomo, W. L. Y., & Utami, Y. R. W. (2020). Penerapan Agglomerative Hierarchical Clustering Untuk Segmentasi Pelanggan. Jurnal Ilmiah SINUS, 18(1), 75. https://doi.org/10.30646/sinus.v18i1.448

Zen, M. A., Wahyuningsih, S., & Dani, A. T. R. (2022). Aplikasi Pendekatan Agglomerative Hierarchical Time Series Clustering untuk Peramalan Data Harga Minyak Goreng di Indonesia. Seminar Nasional Official Statistics, 2022(1), 293–302. https://doi.org/10.34123/semnasoffstat.v2022i1.1394


Find the perfect home for your research! If this journal isn't the right fit, don't worry—we offer a wide range of journals covering diverse fields of study. Explore our other journals to discover the ideal platform for your work and maximize its impact. Browse now and take the next step in publishing your research:

| HOME | Yasin | AlSys | Anwarul | Masaliq | Arzusin | Tsaqofah | Ahkam | AlDyas | Mikailalsys | Edumalsys | Alsystech | AJSTEA | AJECEE | AJISD | IJHESS | IJEMT | IJECS | MJMS | MJAEI | AMJSAI | AJBMBR | AJSTM | AJCMPR | AJMSPHR | KIJST | KIJEIT | KIJAHRS |