Visualization of Lecturer Teaching Evaluation Data Using K-Means Clustering and Tableau Methods

Golda Tomasila; Marchello Gefan Salenussa; Maryo Indra Manjaruni; Ravensca Matatula; Paul Rio Pelupessy; Julius Chrisostomus Aponno

doi:10.59934/jaiea.v5i2.1920

Authors

Golda Tomasila Universitas Kristen Indonesia Maluku
Marchello Gefan Salenussa Universitas Kristen Indonesia Maluku
Maryo Indra Manjaruni Universitas Kristen Indonesia Maluku
Ravensca Matatula Universitas Kristen Indonesia Maluku
Paul Rio Pelupessy Universitas Kristen Indonesia Maluku
Julius Chrisostomus Aponno Universitas Kristen Indonesia Maluku

DOI:

https://doi.org/10.59934/jaiea.v5i2.1920

Keywords:

Visualization, Data, Lecturers, K-Means Clustering, Tableau

Abstract

In the process, the results of monitoring and evaluating lecturers in each semester are usually only presented in the form of tables and descriptive explanations, but have not yet visualized the data for further analysis. The purpose of this study is to visualize the results of lecturer teaching evaluation using the K-Means Clustering and Tableau algorithms, and is expected to help the faculty and university monitor and evaluate lecturers in each semester in a more objective and informative manner. The results of the study found that the k-means clustering algorithm succeeded in finding the pattern of student clustering on the evaluation of lecturer teaching and based on the visualization of the results of k-means with a tableau it was found that most students gave a positive response to lecturer teaching and only a small number of students gave a poor assessment of lecturer teaching by emphasizing on improving the teaching process, namely consistently carrying out RPS, punctuality and so on

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References

K. M. Siti, F. S., Adilatus, S., Holilatus, S., Amalia, W. M. R., & Abdul, “OPTIMALISASI MOTIVASI KERJA DOSEN DALAM PENINGKATAN KUALITAS PENGAJARAN DI PERGURUAN TINGGI: KAJIAN LITERATUR,” J. J-MPI J. Manaj. PENDIDIKAN, Penelit. DAN Kaji. Keislam., vol. 4(1), pp. 36–43, 2025.

R. Affriani, “Dimensi Kinerja Dosen Dalam Meningkatkan Prestasi Mahasiswa,” Manag. Educ. J. Manaj. Pendidik. Islam, vol. 10(1), pp. 40–53, 2024.

T. Suprihartini, Y., Rukhmana, T., Ikhlas, A., Wahyuni, L., Prastawa, S., & Taryana, “Implementasi kurikulum berbasis kompetensi dalam meningkatkan kualitas pendidikan di universitas,” Indones. Res. J. Educ., vol. 4(3), pp. 556–562, 2024.

P. Sari, “Algoritma K-Means Clustering: Sebuah Studi Literatur,” J. Inform., vol. 1(01), pp. 1–7, 2024.

M. Q. Rizki, I. N., Prayoga, D., Puspita, M. L., & Huda, “Implementasi Exploratory Data Analysis Untuk Analisis Dan Visualisasi Data Penderita Stroke Kalimantan Selatan Menggunakan Platform Tableau,” J. Inform. dan Tek. Elektro Terap., vol. 12(1), 2024.

L. F. Heru Purnomo Kurniawan, “Analisis Kinerja Dosen Menggunakan Metode K-Means Clustering,” J. Inform. Pengemb. IT, vol. 9 no 2, pp. 164–172, 2024.

K. Solichin, A., & Khairunnisa, “Klasterisasi persebaran virus Corona (Covid-19) di DKI Jakarta menggunakan metode K-Means,” Fountain Informatics J., vol. 5(2), pp. 52–59, 2020.

R. D. (2024) Muarif, T. I., & Dana, “Implementasi Tableau untuk pengembangan visualisasi data pada aplikasi open data di Diskominfo Kabupaten Cirebon,” ATI (Jurnal Mhs. Tek. Inform., vol. 8(1), pp. 902–909, 2024.

R. D. Kaswandi, A., & Dana, “Visualisasi Data Produksi Pertanian Melalui Penerapan Media Interaktif Menggunakan Tableau.,” JATI (Jurnal Mhs. Tek. Inform., vol. 8(1), pp. 1070–1076, 2024.

D. Indrayani, M., Iqbal, M., & Nasution, “PEMETAAN PILIHAN LULUSAN SMK PANCA BUDI MEDAN MENGGUNAKAN ALGORITMA K-MEANS DAN VISUALISASI DATA,” J. Sci. Soc. Res., vol. 8(3), pp. 3388–3395, 2025.

S. Allorerung, P. P., Erna, A., Bagussahrir, M., & Alam, “Analisis Performa Normalisasi Data untuk Klasifikasi K-Nearest Neighbor pada Dataset Penyakit,” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 9(3), pp. 178–191, 2024.

B. N. Vania, P., & Sari, “Perbandingan metode Elbow dan Silhouette untuk penentuan jumlah klaster yang optimal pada clustering produksi padi menggunakan algoritma K-Means,” J. Ilm. Wahana Pendidik., vol. 9(21), pp. 547–558, 2023.

D. Alviona Marsya, “PEMANFAATAN BUSINESS INTELLIGENCE UNTUK VISUALISASI DATA DAN PEMETAAN KASUS DATA KELUARGA BERISIKO STUNTING DENGAN MENGGUNAKAN TABLEAU,” J. Sci. Soc. Res., vol. 2, pp. 2058– 2064, 2025.

M. Sulistyowati, “Visualisasi Data Pasien Puskesmas Suradita Menggunakan Tableau,” J. IPTEK, vol. 9, pp. 19–23, 2025.