Published: 2023-01-01
Pengkategorian Komentar Instagram Terhadap Layanan Akademik dan Non-Akademik Universitas Terbuka
DOI: 10.35870/jtik.v7i1.669
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Abstract
Instagram is one of the social media that has many users in Indonesia, where users are free to comment on whatever is going on, including being a form of online communication between campuses and their students. The number of topics and comments on an official Instagram account can be used as evaluation or learning material. The Open University is one of the campuses that has an official Instagram account with thousands of followers. In order to get an evaluation of academic and non-academic services, in this study a categorization analysis was carried out with 10,000 comment data taken from the official @univterbuka Instagram account. The data is categorized into 7 categories, then processed using 4 algorithms, namely SVM, Naïve Bayes, Random Forest and KNN. The highest accuracy in the category of teachers with the KNN method is 98.97% and the highest AUC is in the module category with the SVM method of 94.60%.
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 7 No. 1 (2023)
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Section: Computer & Communication Science
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Published: %750 %e, %2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/jtik.v7i1.669
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Rhini Fatmasari
Fakultas Keguruan dan Ilmu Pendidikan, Universitas Terbuka
Alda Zevana Putri Widodo
Fakultas Sistem Informasi, Universitas Nusa Mandiri.
Valianda Farradillah Hakim
Fakultas Sistem Informasi, Universitas Nusa Mandiri
Windu Gata
Fakultas Sistem Informasi, Universitas Nusa Mandiri
Dedi Dwi Saputra
Fakultas Sistem Informasi, Universitas Nusa Mandiri
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Dewi, S.S., 2018. Hafal Mahir Materi Sejarah SMA/MA KELAS 11, 12, 13. Gramedia Widiasarana Indonesia.
-
Helianthusonfri, J., 2020. Instagram Marketing Untuk Pemula. Elex Media Komputindo.
-
Saputra, D. 2020. Otomasi Pengkategorian Terhadap Keluhan Pelanggan Pada Twitter Operator Telekomunikasi Xl Axiata Di Indonesia, p. 120.
-
Arhami, and Nasir, M, 2020. Data Mining-Algoritma dan Implementasi. Penerbit Andi.
-
Ginting, R.U. and Wardoyo, R., 2019. Sistem Evaluasi Kepuasan Mahasiswa Menggunakan Metode Fuzzy. Zifatama Jawara.
-
Putri, S.A., 2021. Talend Data Preparation dan Talend Open Studio for Data Intregator untuk Prapengolahan Data. Indego publisher.
-
Wahid, S.H., 2021. A Tool Kit for Penulisan Karya Ilmiah (Skripsi dan Jurnal) Plus Analisis Data. Q Media.
-
Jollyta, D., Siddik, M., Mawengkang, H. and Efendi, S., 2021. Teknik Evaluasi Cluster Solusi Menggunakan Python Dan Rapidminer. Deepublish.
-
M. Sadli, W. Fuadi, and Fajriana., 2019. Aplikasi Penerapan Auto Matic Clustering dan Fuzzy Time Series. Yayasan Kita Menulis.
-
Rahayu, W.I. and Saputra, M.H.K., 2020. Penerapan Metode Naive Bayes dan Skala Likert Pada Aplikasi Prediksi Kelulusan Mahasiswa. Bandung: Kreatif Industri Nusantara.
-
Werdiningsih, I., Kom, M., Nuqoba, B., Kom, M. and Muhammadun, S.S., 2020. Data Mining Menggunakan Android, Weka, dan SPSS. Airlangga University Press.
-
Muflikhah, L. and Mahmudy, W.F., 2021. Machine Learning dalam Bioinformatika. Universitas Brawijaya Press.
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