Article Per Year (5 Year)
p-Index From 2020 - 2025
3.014
P-Index
This Author published in this journals
All Journal Jurnal Teknik Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Among : Jurnal Pengabdian Masyarakat Journal of Information System and Technology (JOINT) Jutech: Jurnal Teknologi Informasi Jurnal Aplikasi Sistem Informasi dan Elektronika Kohesi: Jurnal Sains dan Teknologi International Applied Science Journal Of Humanities Community Empowerment Jurnal Penelitian Teknologi Informasi dan Sains ABDIMASTEK
Fitriyah, Nur Qodariyah
Universitas Muhammadiyah Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Applied Science

 1 
Sentiment Analysis Tweets Against the Independent Learning Curriculum Policy on Twitter Social Media Using the Mutivariate Bernoulli Algorithm Erwanto , Tedi; Rintyarna , Bagus Setya; Fitriyah , Nur Qodariyah
International Applied Science Vol. 2 No. 1 (2023): Proceeding of SIGMA-1
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/ias.v2i1.461

Abstract

Merdeka Belajar is a new policy initiated by the Ministry of Education, Culture, Research and Technology. According to him, this policy is a step to change the education system in Indonesia so that Human Resources (HR) in Indonesia become superior and have a Pancasila Student profile . These policy efforts cannot be separated from support and rejection from the community. Various kinds of support and rejection efforts from the public regarding the new policy were expressed on social media, one of which was Twitter . This research aims to determine the level of accuracy, precision and recall using the Multivariate Bernoulli algorithm with extra TF -IDF features. The highest accuracy result was 81.83%, in follow precision of 74.24%, and recall of 84.48%. Average performance on 10- Fold Cross Validation provided by Confusion Matrix with accuracy values of 78.00%, precision 73.73%, and recall 81.09%, as well as obtaining 1,092 correctly classified data results and 308 data were classified incorrectly.
Co-Authors agus milu susetyo Ari Eko Wardoyo Dinata, Noeril Agian Septa Erwanto , Tedi Fitriyah, Aurelia Agustin Fitriyah, Bait Syaiful Rijal Fitriyah, Cetta Ugama Putra Ginanjar Abdurrahman Guruh Hasbullah Hasbullah Lintang Setyo Kurniawati Mochammad Zainur Rahman A. Mohammad Hasan Oktavianto, Hardian Putra, Dua Rizki Dharma Rintyarna , Bagus Setya Sulistyo, Henny Wahyu Sutikno Sutikno Sutikno Sutikno Ulya Anisatur R. Ulya Anisatur Rosyidah Widiyanto, Alfian Wijaya, Guruh Yusril Izzi Arlisa Amiri Zaenab Kurnia Zainul Arifin Zakiyyah, Amalina Maryam