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Pengukuran Capability Level menggunakan Monitor, Evaluate and Assess (MEA) COBIT 5 Paul Rio Pelupessy; Nivaan, Goldy Valendria; Tomasila, Golda; Reynaldi Siwalette; Wattimena, Virginia Evelin
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 1 (2025): Mei 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i1.6148

Abstract

The application of information technology as a support for the processes and activities of a business organization or company is very necessary, including in a government institution. Moreover, in its utilization, technology must also run in conjunction with proper information management and administration to support the sustainability of organizational activities in the future. How optimal the performance and the evaluation of human resources in the management process of technology that has not been carried out is also a consideration as the basis for this research. Therefore, the objective of this research is to measure the maturity level of the existing information technology to analyze at which level the organization stands, so that suggestions can be made for the use of IT in the organization to align with the goals and fulfill the vision and mission of organization XYZ. This measurement uses the Monitor, Evaluate and Assess (MEA01) domain and the result obtained is that the organization is at level 3. Therefore, it is expected that from the results of this research, the organization can implement proposed improvements to IT governance for the advancement of the agency in the future.
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
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1920

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