Student Character Grouping Based on Six Dimensions of Pancasila Student Profile Using Clustering Method (Case Study of SMK Swasta Setia Budi Binjai)

  • Zuliani Zuliani STMIK Kaputama
  • Suci Ramadani STMIK Kaputama
  • Relita Buaton STMIK Kaputama

Abstract

Character education is one of the important aspects in developing students into individuals with integrity, ethics, and responsibility. Pancasila as the foundation of the Indonesian state has a central role in shaping students' character. This study aims to categorize student character based on six dimensions of the Pancasila learner profile at SMK Swasta Setia Budi Binjai. The six dimensions of the Pancasila learner profile that are the focus of this study include: 1) Faithful, Devoted to God Almighty and Noble, 2) Global Diversity, 3) Mutual Cooperation, 4) Independent, 5) Creative, 6) Critical Reasoning. The clustering method is used to group students based on the Pancasila learner profile measured through questionnaires distributed to subject teachers. The collected data will be analyzed using relevant clustering algorithms to identify the pattern of student characters present in the school population. This research is expected to provide deeper insight into the character of students at SMK Swasta Setia Budi Binjai based on Pancasila values. The results of this study are expected to be the basis for the development of a more effective character education program that focuses on strengthening the values of Pancasila in an effort to produce a young generation with strong character, love for the country, and contribute positively to society and the nation.

References

[1] Amir Tjolleng, 2017, Pengantar Pemrograman MATLAB, Jakarta: PT. Alex
Media
[2] Gunawan, D. M. R., & Suniasih, N. W. (2022). Profil Pelajar Pancasila dalam Usaha Bela Negara di Kelas V Sekolah Dasar. MIMBAR PGSD Undiksha, 10(1), 133–141. https://doi.org/10.23887/jjpgsd.v10i1.45372
[3] Irawati, D., Iqbal, A. M., Hasanah, A., & Arifin, B. S. (2022). Profil pelajar Pancasila sebagai upaya mewujudkan karakter bangsa. Edumaspul: Jurnal Pendidikan, 6(1), 1224–1238.
[4] Kasini, K. (2018). Identifikasi Karakter Siswa Menggunakan Metode K-Means (Studi Kasus Sdn 156 Pekanbaru). Jurnal Inovasi Teknik Informatika. http://journal.universitaspahlawan.ac.id/index.php/jiti/article/view/22
[5] Kasmirin, A. R. (2016). Perancangan Sistem Informasi Perpustakaan Berbasis Web (Studi Kasus SMAN 1 Penengahan).
[6] Lamhot Sitorus, 2015, Algoritma dan Pemrograman, Yogyakara : Andi Offset.
[7] Nugroho, A. (2005). Analisis dan perancangan sistem informasi dengan metodologi berorientasi objek. Bandung: Informatika.
[8] Nur‘Inayah, N. (2021). Integrasi Dimensi Profil Pelajar Pancasila dalam Mata Pelajaran Pendidikan Agama Islam Menghadapi Era 4.0 di SMK Negeri Tambakboyo. Journal of Education and Learning Sciences, 1(1), 1–13.
[9] Rahayuningsih, F. (2021). Internalisasi filosofi pendidikan ki hajar dewantara dalam mewujudkan profil pelajar pancasila. SOCIAL: Jurnal Inovasi Pendidikan IPS, 1(3), 177–187.
[10] Surbakti, N. K. (2021). Data Mining Pengelompokan Pasien Rawat Inap Peserta BPJS Menggunakan Metode Clustering (Studi Kasus: RSU. Bangkatan). Journal of Information and Technology, 1(2), 47–53.
[11] Suwita, J. (2015). ANALISA DAN PERANCANGAN SISTEM INFORMASI PENJUALAN TIKET BUS PADA PO KRUI PUTRA. Insan Pembangunan Sistem Informasi Dan Komputer (IPSIKOM), 3(1).

[12] Syamsiah, S. (2019). Perancangan Flowchart dan Pseudocode Pembelajaran Mengenal Angka dengan Animasi untuk Anak PAUD Rambutan. STRING (Satuan Tulisan Riset Dan Inovasi Teknologi), 4(1), 86–93.
[13] Wakhidah, N. (2010). Clustering menggunakan k-means algorithm. Jurnal Transformatika, 8(1), 33–39
Published
2023-08-10
How to Cite
ZULIANI, Zuliani; RAMADANI, Suci; BUATON, Relita. Student Character Grouping Based on Six Dimensions of Pancasila Student Profile Using Clustering Method (Case Study of SMK Swasta Setia Budi Binjai). International Journal of Informatics, Economics, Management and Science (IJIEMS), [S.l.], v. 2, n. 2, p. 130-140, aug. 2023. ISSN 2809-8471. Available at: <https://journal.stmikjayakarta.ac.id/index.php/ijiems/article/view/1202>. Date accessed: 13 june 2024. doi: https://doi.org/10.52362/ijiems.v2i2.1202.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.