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All Journal Semesta Teknika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Jurnal Teknik Komputer AMIK BSI Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL ILMIAH INFORMATIKA JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Informatika Kaputama (JIK) Jurnal Mantik JIKA (Jurnal Informatika) Jurnal Abdimas Komunikasi dan Bahasa J-Intech (Journal of Information and Technology) Jurnal Ilmu Komputer JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Jurnal Pengabdian Masyarakat Bangsa Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis
Antonius Yadi Kuntoro
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Journal : Jurnal Pilar Nusa Mandiri

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SENTIMENT ANALYSIS ON GOJEK AND GRAB USER REVIEWS USING SVM ALGORITHM BASED ON PARTICLE SWARM OPTIMIZATION Hermanto, Hermanto; Kuntoro, Antonius Yadi; Asra, Taufik; Nurajijah, Nurajijah; Effendi, Lasman; Ocanitra, Ridatu
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1068.985 KB) | DOI: 10.33480/pilar.v16i1.1304

Abstract

Users of the Gojek and Grab application can provide reviews or comments about the application on Google Play. Reviews in the form of giving opinions about their satisfaction or dissatisfaction with the services provided. So with the many opinions provided, making people selective in choosing an online motorcycle taxi service provider. The application with the best review will be chosen by the community. In previous studies regarding the classification of online ojek service review using the Naïve Bayes algorithm, C.45 and Random Forest produced an unsatisfactory accuracy of 69.18% at the highest value. This study aims to determine the extent of the analysis of Gojek and Grab application user reviews based on user comments by classifying negative and positive reviews with a higher level of accuracy than previous studies so that applications with the best reviews can be known for public consideration in using the application's services. The method used for data review classification is using the Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO). The test results on the Grab application review get the highest accuracy results in the amount of 73.09% with AUC value = 0.804, while for the test results on the application review Gojek get an accuracy value of 65.59% and AUC value = 0.680
Co-Authors Ali Mustopa, Ali Anasanti, Mila Desi Ani Nuriska Safitri Budiarto, Gunawan Christian, Yoel Dedi Dwi Saputra Dedi Dwi Saputra Dwiza Riana Fahlapi, Riza Febrian, Dio Ferry Syukmana Hasan , Fuad Nur Hasan, Fuad Nur Hasanah, Riyan Latifahul Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Wahono Hermawan, Muhamad Taufik Khiyarana Fayziyah Laia , Metodius Modianus Lasman Effendi Mahmud Syarif Mawalda Azharah Moh. Arie Hasan Muhammad Syukur Nabilatul Adzra, Salsa Nadia Septia Aisyah Nitra, Ridatu Oca Novianti, Deny Nurajijah, Nurajijah Ramadhan, Xena Hadi Ramanda, Dea Rianto, Yan Ridatu Oca Nitra Ridatu Oca Nitra Ridatu Ocanitra RIZA FAHLAPI Riza Fahlapi Riza Fahlapi Saelan, M. Rangga Ramadhan Saputra, Dedi Dwi Siti Nurlela siti nurlela Sugiarto, Hady Sukmawati, Alfiani Sutisna, Alifan Widad Taufik Asra Usnah, Asmaul Wahono, Hermanto