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Implementation Educational Data Mining For Analysis of Student Performance Prediction with Comparison of K-Nearest Neighbor Data Mining Method and Decision Tree C4.5: Implementation Educational Data Mining For Analysis of Student Performance Prediction with Comparison of K-Nearest Neighbor Data Mining Method and Decision Tree C4.5 Lili Dwi Yulianto; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1239.894 KB)

Abstract

Data Mining is very useful and widely applied in various fields, one of which is in the field of education. Data mining can be applied to the field of Educational institutions and is also often referred to as Educational Data Mining (EDM). Colleges currently compete with each other to improve the quality of their education for the creation of competent and high-integrity human resources. The amount of data contained in Higher Education can be utilized for the need for useful information so that the data attributes can be known so that the data is analyzed to improve student performance and achievement. And also the results of the analysis are expected to be able to anticipate the problem of delays in the study period that is often experienced by students. In this study conducted using two algorithm models namely K-Nearest Neighbor and Decision Tree C4.5. The best accuracy value is the K-Nearest Neighbor algorithm model with an accuracy rate of 59.32%, whereas in the Decision Tree C4.5 model the accuracy rate is 54.80%, the application of EDM and is expected to be maximized and developed so that it can contribute and develop in education world especially in data mining
PELATIHAN PENGGUNAAN GOOGLE MEET DAN INTEGRASI KE DALAM GOOGLE CLASSROOM SEBAGAI SARANA MEDIA PEMBELAJARAN ONLINE Frenda Farahdinna; Sari Ningsih; Lili Dwi Yulianto; Djarot Hindarto; Satriawan Desmana
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Volume 6 No. 1 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i1.36305

Abstract

Pemerintah memberlakukan kebijakan perubahan dari pembelajaran tatap muka menjadi pembelajaran daring atau online. Sistem pembelajaran daring memungkinkan proses belajar mengajar berlangsung tanpa pertemuan langsung antara guru dan siswa, melainkan melalui jaringan internet. Guru diharapkan tetap memastikan proses belajar mengajar berjalan lancar, meskipun siswa mengikuti pembelajaran dari rumah.Oleh karena itu dibutuhkan suatu platform atau aplikasi yang dapat digunakan untuk melakukan kegiatan belajar mengajar secara online. Google Meet merupakan salah satu aplikasi yang dapat digunakan untuk melakukan kegiatan belajar dan mengajar secara online dan Google juga menyediakan Google Classroom sebagai sarana untuk dapat membuat tugas, berbagi file hingga memberi nilai secara langsung. Kegiatan ini dapat membantu para guru dalam memahami bagaimana cara untuk membuat pembelajaran melalui Google Meet dan mengintegrasikan nya ke Google Classroom.