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All Journal CESS (Journal of Computer Engineering, System and Science) Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal on Education Jurnal Pendidikan dan Konseling Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Minfo Polgan (JMP)
Riyanto Jayadi
Bina Nusantara University
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : CESS (Journal of Computer Engineering, System and Science)

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Dashboard System for Predicting Student Practicum Performance Using the Data Mining Method Adam Fahsyah Nurzaman; Riyanto Jayadi
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.35394

Abstract

One of the factors that can influence the success of an educational institution is the coveted quality of students. To be able to see the quality of students can be seen from the graduation obtained. One method that can be used to see the percentage of student graduation obtained is data mining. This research was conducted to examine the data assessment process using data mining methods as well as data visualization so that the information generated is better by using the dashboard. Decision tree method was chosen because the results obtained using data sources that create the highest accuracy. Out of this research, it is found that the dashboard which was developed to visualize the data to become more mature information and data assessment using data mining methods has succeeded in making stakeholders get better information and also helps in making better business decisions.
Co-Authors Adam Fahsyah Nurzaman Alvin Christian Charis Chrisna Ketin Febrina Adisuria Putri Natasya Fanuel Rayhana Afita Sintia Nursafitri Svend Pasak Taskia Fira Indriasari Yohana Dwi Asima Purba