Article Per Year (5 Year)
p-Index From 2020 - 2025
1.877
P-Index
This Author published in this journals
All Journal Prosiding Seminar Biologi CESS (Journal of Computer Engineering, System and Science) INTECOMS: Journal of Information Technology and Computer Science JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Engineering, Technology and Natural Sciences (IJETS) Journal of Computer System and Informatics (JoSYC) Proceeding Biology Education Conference DECODE: Jurnal Pendidikan Teknologi Informasi Journal of Scientific Research, Education, and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Joko Aryanto
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Klasifikasi Sentimen Opini terhadap Film Kartini Menggunakan Naive Bayes pada Platform X Ramadhani, Muhammad Al-Fajr; Aryanto, Joko; Untoro, Iwan Hartadi Tri; Sujarwadi, Agus
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6208

Abstract

Film is an audiovisual media that not only serves as entertainment, but can also provide information and touch the emotions of its audience. In the development of the digital era, people tend to use social media to search for films that are popular or trending. One platform that is often used for this purpose is Twitter, which in July 2023 changed its name to ‘X’. This research discusses the sentiment analysis of the film Kartini on the X social media platform, which tells the story of R.A. Kartini's struggle for the rights of Indonesian women. The film became a topic of conversation with various opinions, both positive and negative, circulating on the platform. The amount of public sentiment often creates confusion for potential viewers in determining whether the film is worth watching. These varying views on the film can affect viewers' perceptions, which in turn risks creating a disappointing viewing experience and making viewers feel that the time spent was not worthwhile. Therefore, the researcher aims to classify the sentiment of platform X users towards the film Kartini using the Naive Bayes Classifier method, which works based on Bayes' Theorem to predict the probability of an event based on previous data. This method was chosen due to its ability to efficiently classify sentiment into positive or negative categories. Temporary results on testing data using the naive bayes algorithm and python programming language obtained very good results. The best accuracy result of the emotion dataset obtained is 98% and the best accuracy of the sentiment dataset obtained is 86%.
Co-Authors Agus Sujarwadi Alvi Rosyidi Alvi Rosyidi Amirudin, Nur Said Asriningtyas, Yuli Bima Pratama Fahrani, Fadmi Harlita Harlita Harlita Harlita Heru Nurcahyo Heru Nurcahyo Irawan, Rendi Maridi Maridi Maridi Maridi Maulana, Galih Arya Meti Indrowati Muhammad Reza Raehan Muzayyinah Muzayyinah Muzayyinah Muzayyinah Nailul Autor, Nendy Ramadhani, Muhammad Al-Fajr Rosalia, Farah Rumbekwan, Julio Ignasius Wangjaya Sarifudin, Riyan Setyawati Handayani Simbulan, Roselilie Sri Dwiastuti Tri Untoro, Iwan Hartadi Tuti Rahayu Wahyu, Nurdi Dwi