ANALISA SENTIMEN MAHASISWA TERHADAP LAYANAN STMIK PRIMAKARA MENGGUNAKAN ALGORITMA NAIVE BAYES DAN K-NEAREST NEIGHBOR

Authors

  • I Komang Andi Sugiarta STMIK Primakara
  • Putri Anugrah Cahya Dewi STMIK Primakara
  • Nengah Widya Utami STMIK Primakara

DOI:

https://doi.org/10.51401/jinteks.v5i3.3159

Keywords:

STMIK Primakara , Student satisfaction, Sentiment Analysis, Naive bayes, K-Nearest Neighbor (KNN)

Abstract

STMIK Primakara always analyzes student satisfaction with the services provided by distributing questionnaires every year. However, in analyzing the questionnaires, the Quality Assurance Center still does it manually, where this process will take longer. Based on these problems, researchers feel the need to conduct sentiment analysis research on student comments using the Naive Bayes and KNN algorithms. The results obtained based on test data from 261 test data obtained the number of positive sentiment predictions as many as 67 data, neutral as many as 55 data, and negative as many as 144, these results indicate that some services are considered not optimal such as wifi, parking, air conditioning, computers and others. Based on the calculation of the confusion matrix, KNN excels in three separate data trials with accuracy rates of 79.03%, 78.93% and 85.06%. While the naive Bayes algorithm only obtains an accuracy rate of 68.67%, 65.33% and 64.37%. This shows that KNN has done quite well in conducting sentiment analysis of student comments.

References

Boky, Yonar, 2016, “Analisis Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademik Sekolah Tinggi Theologia Jaffray Makassar”, Jurnal JAFFRAY, vol. 14, no. 2, pp. 269-290

Yusa, M., A. F., Sofwan Alqap, dan N. Hidayati, 2021, “Analisis Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Akademik Di Fakultas Teknik Universitas Bengkulu,” Jurnal Bisnis Manajemen Dan Informatika (JBMI), vol. 18, no. 2, p. 103, doi: 10.26487/jbmi.v18i2.14104.

Muzakki, M. Ajir, 2020, “Klasifikasi dan Analisa Sentimen Kuesioner Fasilitas dan Layanan untuk Universitas Qomaruddin Gresik,” Jurnal Ilmu Komputer dan Desain Komunikasi Visual, vol. 5, no. 2

Cristella, Efrida, Y. Sibaroni, dan S. Si, 2018, “Analisis Sentimen Tentang Kasus Layanan Akademik Di Perguruan Tinggi (Kasus?: Telkom Univers Ity), e-Proceeding of Engineering , vol. 5, no. 3, p. 7586,

Bororing, J. Edwin dan Feri Faeruzah, 2020, “Analisis Sentimen Layanan Akademik Menggunakan Metode Naive Bayes Classifier Pada Komentar Mahasiswa”, Jurnal Informasi Interaktif, vol. 5, no. 3, pp. 129-135.

V. Yupiani, V. Novita Sari dan D. Suranti, 2021, “Implementasi Metode Bayes Dalam Evaluasi Kepuasan Mahasiswa Terhadap Layanan Universitas”, SINTECH JOURNAL, vol. 4, no 1, pp. 12-21,

M. Fu, Y. Kasih, dan megawati, “Analisis Pengaruh Tangible, Reliability, Responsiveness, Assurance Dan Empathy Terhadap Loyalitas Pelanggan JNE Cabang Palembang (Studi Kasus Pada Mahasiswa Stie Mdp).” Provided by STMIK GI MDP.

Ramadhanta, Ezza, M. Razaq, D. W. Jacob, dan F. Hamami, 2021, “Analisis Sentimen Kepuasan Mahasiswa Terhadap Pembelajaran Online Selama Pandemi Covid-19 Pada Media Sosial Twitter Menggunakan Perbandingan Algoritma Klasifikasi.”, e-Proceeding of Engineering : Vol.8, No.5,

R. Sari, 2020, “Analisis Sentimen Pada Review Objek Wisata Dunia Fantasi menggunakan Algoritma K-Nearest Neighbor (K-NN),” Jurnal Sains dan Manajemen, vol. 8, no. 1, 2020.

Utami, N. Widya, Made Artana, 2022. “Text Mining Dalam Analisis Sentimen Pembelajaran Daring Di Masa Pandemi Covid 19 Menggunakan Algoritma K-Nearest Neighbor”, JINTEKS (Jurnal Informatika Teknologi dan Sains, vol. 4, no, 2, pp. 140-148,

[16] Hidayatullah, Ari, E. Mudiawati dan M. Syafrullah, 2021, “Penerapan Data Mining untuk Memprediksi Minat Nasabah Terhadap Produk Asuransi Meninggal Dunia dengan Metode Naive Bayes (Studi Kasus?: PT. BNI Life Insurance)”, Jurnal Teknologi Informasi, vol. 16, no 2, pp. 103-115.

Sunardi, A. Fadlil, Suprianto, 2018, “Analisis Sentimen Menggunakan Metode Naive Bayes Classifier Pada Angket Mahasiswa”, SAINTEKBU : Jurnal Sains dan Teknologi, vol. 10, no. 2, pp. 1-9.

Hermanto, S. J. Kuryanti, S. N. Khasanah, 2019, “Comparison of Naive Bayes Algorithm, C4.5 and Random Forest for Service Classification Ojek Online,” Journal Publications & Informatics Engineering Research, vol. 3, no. 2, doi: 10.33395/sinkron.v3i2.235.

K. Suppala and N. Rao, 2019, “Sentiment Analysis Using Naive Bayes Classifier,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol.8, pp. 264-269.

Chandra, Denny, N., G. Indrawan, dan I Nyoman Sukajaya, 2019, “Klasifikasi Berita Lokal Radar Malang Menggunakan Metode Naive Bayes Dengan Fitur N-Gram”, Jurnal Ilmu Komputer Indonesia (JIKI), vol. 4, no. 2, pp. 10-20,

[24] R. Fatmasari, V. Mega Ayu, B. Pratama dan W. Gata, 2022, “Analisis Sentimen Dalam Pengkategorian Komentar Youtube Terhadap Layanan Akademik dan Non-Akademik Universitas Terbuka Untuk Prediksi Kepuasan,” Technology and Science (BITS), vol. 4, no. 2, doi: 10.47065/bits.v4i2.1738.

Romadloni, N. Tri, Iman S. dan Sulastro B., 2019, “Perbandingan Metode Naive bayes, K-NN Dan Decision Tree Terhadap Analisis Sentimen Transportasi KRL Commuter Line, Jurnal IKRA-ITH Informatika , vol. 3, no. 2.

Mara, Andry A. P. Tanggu, E. Sediyono dan H. Purnomo, 2021, “Penerapan Algoritma K-Nearest Neighbors Pada Analisis Sentimen Metode Pembelajaran Dalam Jaringan (DARING) Di Universitas Kristen Wira Wacana Sumba”, JOINTER–Journal Of Informatics Engineering, vol1, no. 02, pp. 24-31.

D. Kurniawati, E. Prayitno, D. Fakta Sari, and S. Narsa Putra, “Sentiment Analysis Of Use On Twitter On Police Institution Services Using Naive Bayes Classifier Method”, STMIK AKAKOM Yogyakarta, Indonesia

N. Haqqizar dan T. Nur Larasyanti. 2019, “Analisis Sentimen Terhadap Layanan Provider Telekomunikasi Telkomsel Di Twitter Dengan Metode Naive Bayes”. Seminar Nasional Rekayasa dan Teknologi.

S. Wulan, U. Vitandy, A. A. Supianto, dan F. Abdurrachman Bachtiar, 2019, “Analisis Sentimen Evaluasi Kinerja Dosen menggunakan Term Frequency-Inverse Document Frequency dan Naive Bayes Classifier,” Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 6, pp. 6080-6088.

Putra, Z. Pradana dan A. Nugroho, 2018, “Pebandingan Performa Naïve Bayes dan KNN pada Klasifikasi Teks Sentimen Jasa Ekspedisi”, Jurnal JOINTECS, Vol. 6 No. 3 (2021) 145 - 152

Published

2023-08-01

How to Cite

[1]
I Komang Andi Sugiarta, P. Anugrah Cahya Dewi, and Nengah Widya Utami, “ANALISA SENTIMEN MAHASISWA TERHADAP LAYANAN STMIK PRIMAKARA MENGGUNAKAN ALGORITMA NAIVE BAYES DAN K-NEAREST NEIGHBOR”, JINTEKS, vol. 5, no. 3, pp. 364-372, Aug. 2023.

Issue

Section

Articles