PENGEMBANGAN MUTU PENGELOLAAN PROGRAM STUDI BERBASIS MONITORING ANALYTIC TOOLS MENUJU AKREDITASI UNGGUL PROGRAM STUDI MATEMATIKA FST UIN SYARIF HIDAYATULLAH

  • Suma Inna Universitas Islam Negeri Syarif Hidayatullah Jakarta
  • Irma Fauziah Universitas Islam Negeri Syarif Hidayatullah Jakarta
  • Ary Santoso Universitas Islam Negeri Syarif Hidayatullah Jakarta

Abstract

This paper discusses Monitoring Analytics Tools (MAT) to analyze the management quality of the Mathematics Study Program Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta. Study program management based on Monitoring Analytics Tools (MAT) is one of strategy for building a study program management system based on data-driven and automated analytics. This method is handy in improving the quality of study programs so that they are more measurable, targeted, effective, and efficient in providing excellent services and developments. Monitoring Analytics Tools (MAT) in this study focused on two management quality developments of the study program, namely Monitoring Analytics Tools (MAT) for Lecturer Quality Development in the Learning Process through a Lecturer Evaluation Survey by Students and Monitoring Analytics Tools (MAT) for the Graduate Development through Graduate User Surveys. The results show that the responsiveness dimension (punctuality in learning activities) has the lowest satisfaction index for Lecturer Quality Development. Meanwhile, for the quality of graduates, the dimensions of specific skills (presentation and writing report skills) are the lowest satisfaction index.

Published
2022-12-28
How to Cite
INNA, Suma; FAUZIAH, Irma; SANTOSO, Ary. PENGEMBANGAN MUTU PENGELOLAAN PROGRAM STUDI BERBASIS MONITORING ANALYTIC TOOLS MENUJU AKREDITASI UNGGUL PROGRAM STUDI MATEMATIKA FST UIN SYARIF HIDAYATULLAH. Jurnal Ilmiah Matematika dan Pendidikan Matematika, [S.l.], v. 14, n. 2, p. 145-160, dec. 2022. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/5740>. Date accessed: 22 mar. 2023. doi: https://doi.org/10.20884/1.jmp.2022.14.2.5740.

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