Penutupan Kompetensi Keahlian SMK dengan Pendekatan Klasifikasi Minat Siswa Menggunakan Jaringan Syaraf Tiruan

Authors

  • Muhammad Ihsan Nugraha Universitas Islam Negeri Sumatera Utara
  • Armansyah Armansyah Universitas Islam Negeri Sumatera Utara

Keywords:

Classification, Student Interest, Neural Network, Backpropagation

Abstract

The lack of intereset in audio and video engineering competencies at SMK Muhammadiyah 9 Medan City causes the minimum number of students in the competence. Therefore, the school needs additional information as a tool to assist them in making a policy to continue or terminate the competency. By utilizing the Artificial Neural Network (ANN) approach, the researcher intends to build a student interest classification model based on student psychological datasets that can be used as a tool in analyzing student interest in  audio and video engineering competencies. The classification model was built using 115 data divided into 92 training data and 23 testing data. Where the data will be transformed into binary numbers (1 and 0) in order to perform algorithm properly. The results of this study show that the model can classify student interest very well into the class labels "interested" and "not interested" as evidenced by the accuracy value of 98.9% on training data and 95.65% on testing data.

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Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 Juli 2023

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Published

2023-07-30

How to Cite

Nugraha, M. I., & Armansyah, A. (2023). Penutupan Kompetensi Keahlian SMK dengan Pendekatan Klasifikasi Minat Siswa Menggunakan Jaringan Syaraf Tiruan. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 6(3), 269–275. Retrieved from https://openjournal.unpam.ac.id/index.php/JTSI/article/view/30143

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Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi

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Copyright (c) 2023 Muhammad Ihsan Nugraha, Armansyah Armansyah

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