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All Journal Jurnal Penelitian Pendidikan JFA (Jurnal Fisika dan Aplikasinya) JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Inovasi Pendidikan IPA Unnes Science Education Journal JIPF (Jurnal Ilmu Pendidikan Fisika) INKUIRI : Jurnal Pendidikan IPA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Indonesian Journal on Learning and Advanced Education (IJOLAE) Jurnal Pembelajaran Sains JPPS (Jurnal Penelitian Pendidikan Sains) Jurnal Pendidikan dan Kebudayaan Journal for Lesson and Learning Studies Journal of Environmental and Science Education Proceeding of International Conference on Science, Education, and Technology Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Proceeding Seminar Nasional IPA JIPI (Jurnal IPA dan Pembelajaran IPA) Prosiding Seminar Nasional Biologi Jurnal Dharma Indonesia Biosaintifika: Journal of Biology & Biology Education Jurnal Pendidikan IPA Indonesia Jurnal Abdimas Jurnal Dharma Indonesia Journal of Environmental and Science Education
Listiaji, Prasetyo
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

 1 
SOCIAL MEDIA COMMENTS FOR GOVERNMENT INSTITUTION VIDEO CLASSIFICATION USING MACHINE LEARNING M. Faris Al Hakim; Subhan Subhan; Prasetyo Listiaji
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5187

Abstract

YouTube is a social media site that is quite familiar and is used as a means of disseminating video-based information. With a fairly high number of users, YouTube can become a communication medium for audiences, including government agencies. The user’s responses in comments reflect the nuance of the presented video. This research aims to determine the best algorithm for classifying video types based on user comments. Several machine learning algorithms used to carry out classification are Decision Tree, Random Forest, K-Nearest Neighbor, Support Vector Machine, and Logistic Regression. K-Fold Cross Validation was chosen as a method to evaluate the performance of classification algorithms based on the accuracy values. of these algorithms in classifying YouTube videos based on comments. The first experiment with the highest ratio of training and test data for each algorithm was obtained at a ratio of 90:10, with respectively 78.99%, 86.21%, 84.01%, 72.72%, and 79.31%. In the second experiment with k-fold cross validation using a ratio of 90:10, the highest accuracy for each algorithm was obtained at a value of k = 10, which was respectively 74.39%, 81.34%, 78.05%, 85.21%, and 72.15%. From these results, it can be concluded that the most suitable algorithm for classifying YouTube videos based on comments is the Random Forest algorithm with a training and test data ratio of 90:10 and SVM with 10-cross-fold validation. These results show that a larger portion of data for learning has a positive impact on algorithm performance.
Co-Authors Aji, Septiko Andin Irsadi Andin Vita Amalia, Andin Vita Anggita Ayu Ivanda Saputri Anggraeni, Yusida Ani Rusilowati Anisia Kholidah Ardhani, Nadia Eka Aribowo, Litasari Aldila Arif Widiyatmoko, Arif Arka Yanitama Atmaja, Bagus Dwi Ayu Rahayu Bunaya Hanif Wintribrata Daeni, Fitri Darmawan, Melissa Salma Dewi Mustikaningtyas Dewi*, Novi Ratna Dewi, Novi Ratna Erna Noor Savitri, Erna Noor Faiq Hisyam Hartanto Fidia Fibriana Hakim, M. Faris Al Heriyanti, Andhina Putri Ibnul Mubarok Ika Susilowati, Ika Iqbal Fathurrohman Ismida Rahmawati Jaya, Adi Franata Kenarni, Naina Rizki Kholidah, Anisia Kholil, Putri Alifa Kinasih, Cahyani Putri Kurniawan, Tessa Surya Latifa, Ghaniya Luthfi Hanum Saputri Martien Herna Susanti Meutia Salwa Aisy Nabilla Muhamad Taufiq Mukaromah, Riska Laila Nabilla, Meutia Salwa Aisy Nia Annisa Ferani Tanjung Nisa, Farah Fitrotun Nor Farahwahidah Abdul Rahman Novi Ratna Dewi Prihestiyani*, Rini Purwadi, Cintiya Egi Putri Ulyatun Niswah Rahman, Nor Farahwahidah Abdul Ramadhani, Nisfil Amelia Risti Ayu Widianingrum Rizki Nor Amelia Sajidi, Imam Sausan Asy Syifa Madaniah Shoba, Tafuz Mahabatis Sigit Priatmoko Sigit Saptono Sri Haryani Sri Sukaesih Stephani Diah Pamelasari, Stephani Diah Subhan Subhan Suharto Linuwih Sumalia, Rifa Suparta, Gede Bayu Syahbananto, Gilang Tiara Dwi Wulandari Tirtasari, Ni Luh Trida Ridho Fariz Wicaksono, Maulana Malik Widianingrum, Risti Ayu Wintribrata, Bunaya Hanif Wiyanto - Wulandari, Tiara Dwi Yanitama, Arka yeni setyowati Yonisa, Zahra Zahra, Arisamiya Latifa Az-