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All Journal CESS (Journal of Computer Engineering, System and Science) NUR EL-ISLAM : Jurnal Pendidikan dan Sosial Keagamaan JSiI (Jurnal Sistem Informasi) JURTEKSI Jurnal Informatika dan Rekayasa Elektronik Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer International Journal Software Engineering and Computer Science (IJSECS) el-Madib: Jurnal Pendidikan Dasar Islam Jurnal Komtekinfo Indonesian Health Issue Data Sciences Indonesia (DSI) VISA: Journal of Vision and Ideas SAMBARA: Jurnal Pengabdian Kepada Masyarakat INOVTEK Polbeng - Seri Informatika Sriwijaya Foodtech Journal MUTAADDIB: Islamic Education Journal
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Journal : VISA: Journal of Vision and Ideas

 1 
Impelementasi Data Mining terhadap Evaluasi Kinerja Guru dalam Mengajar Menggunakan Metode Naive Bayes Classifier Sriani; Ibnu Rusydi; Siti R Nur Aisyiyah
VISA: Journal of Vision and Ideas Vol. 4 No. 1 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i1.1274

Abstract

Teachers are an important resource in supporting the teaching and learning process. The quality of teachers needs attention because it determines the quality of the teaching and learning process. This research aims to create a system that is able to classify performance as Very Good, Good, and Fair as seen from Pedagogical Competency, Personality Competency, Social Competency, Professional Competency using Naive Bayes Classifier calculations. Implementation of the Naive Bayes Classifier classification using numerical calculations. Based on a dataset divided into 80 training data and 20 testing data, the final test calculation achieved an accuracy level of 85% with precision results of 60% then recall of 57.14%. After carrying out calculations and obtaining test results, they will be distributed into the system using PHP and MySQL which are designed to carry out teacher performance assessment classifications. The prediction results obtained from the system are consistent with the results of manual calculations. Based on the research conducted, the system developed can be implemented in a way that makes it easier to evaluate teaching effectiveness.
Co-Authors Abdul Halim Hasugian Agustin Mardiana, Nur Agustina, Chaterine Andriyadi, Andriyadi Anggraini, Chintya Armansyah Berutu, Nurhalimah Desmarini, Mutia Dwitia Ayu Lestari Fawi, Hafiz Gusrianti, Rita Harahap, Lailan Sofinah Harahap, Ulil Amri Ibsan, Muhammad Hanafi juraidah, juraidah Khairani, Fuji Mahmudah, Nur Aini Mawaddah Mawaddah, Mawaddah Maya Nurmalasari Mona Novita Muhammad Alwi Baihaqi Nasution, Yurika Panjaitan, Nurhalimah Pasaribu, Nur Adha Rakhmat Kurniawan R Rusydi, Ibnu Shania perida Br tarigan Simanulang, Ester Sinaga, Siti Nurmawan Siti R Nur Aisyiyah Siti Zubaidah Sri Wahyuni Sugeng, Santoso Tarigan, Eka Falentina Zoyasri Ananta