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All Journal Proceedings of KNASTIK AGRIEKONOMIKA Transformasi: Jurnal Pengabdian Masyarakat Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Teaching and Learning in Elementary Education Indonesian Journal of Primary Education QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi) Multitek Indonesia : Jurnal Ilmiah Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pedagonal : Jurnal Ilmiah Pendidikan EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Operations Research: International Conference Series Jurnal PkM (Pengabdian kepada Masyarakat) Teknologika Jurnal Aplikasi Bisnis dan Komputer Indonesian Journal of Primary Education
Aries Maesya
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Operations Research: International Conference Series

 1 
ANALYSIS OF EMPLOYMENT SENTIMENT IN THE INDONESIAN TELEMATICS FIELD USE MULTINOMIAL NAIVE BAYES AND VECTOR SPACE MODEL Tomi Herdiawan, Tomi; Tosida, Eneng Tita; Maesya, Aries
Operations Research: International Conference Series Vol. 3 No. 2 (2022): Operations Research International Conference Series (ORICS), June 2022
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v3i2.131

Abstract

Indonesia in 2030 experienced a demographic bonus in the sense that Indonesia would have far more labor supply than in previous years. Then there is a discourse that this 4.0 industrial revolution will replace a lot of work, especially low-skilled work or does not require special skills and rough jobs replaced by machinery and artificial intelligent (AI). To obtain the value of the percentage of positive, negative and neutral sentiments from the public regarding the impact of the industrial revolution 4 against labor and employment on online news media sites and social media Twitter, the authors conducted a study "analysis of employment sentiment in Indonesian telematics using multinomial naïve bayes. " The author uses the preprocessing stages including the case folding, tokenizing, stopword, and stemming. Then weighting with Term Frequency - Invers Document Frequency (TF-IDF). After that the classification stage was done using the multinomial Naive Bayes Classifier method and compare it with the Vector Space model classification. The evaluation used is the Confusion Matrix evaluation method. This study produced an evaluation value in the multinomial method of Naïve Bayes for news data to produce an accuracy of 81.75%, average precision 82.77%, and the average recall of 78.15%. Whereas with the Vector Space model method for news data produces an accuracy of 67.88%, average precision 65.59%, and the average recall of 70.56%. On Twitter data with the Multinomial Naïve Bayes method resulted in an accuracy of 88.80%, average precision 93.75%, and the average recall of 74.44%. On Twitter data with the Vector Space Model method resulted in 85.60% accuracy, average precision 76.44% and average recall of 86.07%.
Co-Authors 'ala, Faridatul Ade Muchlis Maulana Anwar Agus Buono Ahmad Izzuddin Awiria, Awiria Cantika Zaddana E Mulyati Effendi, E Mulyati Eka Suhardi Elinda Puspita Elly Sukmanasa Eneng Tita Tosida Evi Sopiani Faridatul’al, Faridatul’al Fredi Andria Halimah Tus Sadiah Lina Novita Lina Novita Lina Novita, Lina Lita Karlitasari Luthfiyana Nur Alifa Muhamad Saad Nurul Ishlah Prawira, Asrori Yudha Prihastuti Harsani Ramdhani, Muhammad Imam RR. Ella Evrita Hestiandari S. Rusdiana Selo Aji Supardi Rusdiana Tomi Herdiawan, Tomi Victor Ilyas Sugara Yuli Wahyuni