Analisis Sentimen Terhadap Pembelajaran Tik Berdasarkan Data Kritik Saran Siswa Menggunakan Metode Naive Bayes Studi Kasus : SMPK Dominikus Gollu Pande

Authors

  • Marselinus bulu STIMIKOM Stella Maris Sumba, Indonesia
  • Elfira Umar STIMIKOM Stella Maris Sumba, Indonesia
  • Martinus Malo Ngongo STIMIKOM Stella Maris Sumba, Indonesia

DOI:

https://doi.org/10.47233/jpst.v2i4.1221

Keywords:

Kata Kunci: Analisis Sentimen; Pelajaran TIK; naive bayes classifier;

Abstract

Teacher teaching quality is the key to the success of education in the institution of education by having teachers who are able to teach well to create high-value children of the nation., Especially in the eyes of the technology of information..In order to get teachers that fit academic standards, certainly need to do an evaluation on the eyes of information technology climbers..Therefore smpk dominikus gollu pande do questionnaires with criticism form advice that students can fill.Current, data criticism of advice has not been used to analyze and evaluate the process of learning.That's why., In this study, there's been a sentimental analysis of the results of the criticism that students have sent., to know the criticism of the suggestion is of positive value, negatif.Salah satu metode analisa sentimen yang dapat digunakan untuk menyelesaikan masalah opinion mining adalah metode naive bayes.Data accumulates as much as 100 data at a semester's span, Which is

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References

DAFTAR PUSTAKA

S. Wulan, U. Vitandy, A. A. Supianto, and F. Abdurrachman Bachtiar, “Analisis Sentimen Evaluasi Kinerja Dosen menggunakan Term Frequency-Inverse Document Frequency dan Naïve Bayes Classifier,” 2019. [Online]. Available: http://j- ptiik.ub.ac.id Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 3, No. 6, Juni 2019, hlm. 6080-6088. Available at : http://j- ptiik.ub.ac.id

I. Nur, F. Astuti, I. Darmawan, and D. Pramesti, “Analisis Sentimen Pada Data Kuesioner Evaluasi Dosen Oleh Mahasiswa (Edom) Prodi Sistem Informasi Telkom University Menggunakan Algoritma Support Vector Machine Analysis Of Sentiment In The Data Evaluation Of Dosage Students (Edom) Information Systems Telkom University Using The Support Vector Machine Algorithm,” 2020.

B. A. Sevsa, M. Didik, and R. Wahyudi, “Analisis Sentimen pada Indeks Kinerja Dosen Fakultas SAINTEK UIN Sunan Kalijaga Menggunakan Naive Bayes Classifier,” 2019. Jurnal Buana Informatika, Volume 10, Nomor 2, Oktober 2019: 112-123.

S. Thaufik Rizaldi, A. al Khairi, P. “Text Mining Classification Opini Publik Terhadap Provider di

Indonesia,” 2021. (Vol. 1, Issue 3). ISSN (Printed) :

-7271, ISSN (Online ) : 2579-5406.

C. E. Joergensen Munthe, N. Astuti Hasibuan, and H. Hutabarat, “RESOLUSI: Rekayasa Teknik Informatika dan Informasi Penerapan Algoritma Text Mining Dan TF-RF Dalam Menentukan Promo Produk Pada Marketplace,” Media Online, vol. 2, no. 3, pp. 110–115, 2022, [Online]. Available: https://djournals.com/resolusi

A. Hendra, “Analisis Sentimen Review Halodoc Menggunakan Nai ̈ ve Bayes Classifier,” Mei, 2021. In JISKa (Vol. 6, Issue 2). MEI. ISSN: 2527 –5836 (print), 2528 –0074 (online)

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Published

2023-10-28

How to Cite

bulu, M., Elfira Umar, & Martinus Malo Ngongo. (2023). Analisis Sentimen Terhadap Pembelajaran Tik Berdasarkan Data Kritik Saran Siswa Menggunakan Metode Naive Bayes Studi Kasus : SMPK Dominikus Gollu Pande . Jurnal Pendidikan, Sains Dan Teknologi, 2(4), 788–797. https://doi.org/10.47233/jpst.v2i4.1221