Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) CESS (Journal of Computer Engineering, System and Science) Jurnal Inspiration Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Informatika dan Rekayasa Elektronik
Windu Gata
STMIK Nusa Mandiri Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Analisis Sentimen Stakeholder Atas Layanan Haidjpb Pada Media Sosial Twitter Dengan Menggunakan Metode Support Vector Machine Dan Naïve Bayes muhammad luthfiy kurniawan harsono; Yuris Alkhalifi; Nurajijah; Windu Gata
Infoman's : Jurnal Ilmu-ilmu Manajemen dan Informatika Vol. 16 No. 1 (2022): Infoman's
Publisher : STMIK Sumedang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Creation of a special account on social media Instagram and Twitter that aims to accommodate the delivery of questions, input, criticism and suggestions from stakeholders around the ongoing business processes and the use of applications in the framework of budget planning, commitment making, disbursement of the state budget, accounting receipts and financial reporting based on the fact that social media cannot be separated from community activities because the presence of digital devices (smartphones) and affordable internet access makes various groups of people able to obtain information quickly and easily. Organizations have an interest in getting benchmarks for services that have been provided in order to improve the quality of services going forward based on tweets data obtained from Twitter social media. This study discusses the process of collecting and processing tweet data on the @haiDJPb account in order to perform stakeholder sentiment analysis of haiDJPb services on twitter social media using Support Vector Machine and Naïve Bayes algorithms and the accuracy of the Support Vector Machine algorithm is 74.55 % and 77.18% for the Naïve Bayes algorithm.
Co-Authors Achmad Bayhaqy Achmad Rifai Agus Salim Salim Anas Faisal Andi Taufik Angelina Puput Giovani Arif Budiarto Cicih Sri Rhayu Daniel Sianturi Dewi Ayu Puspitawati Efid Dwi Agustono Faried Zamachsari Gabriel Vangeran Saragih Gunawan Pria Utama Hani Subakti Helmy Ligaputra Kadinar Novel M Hilman Fakhriza M. Anif Muhamad Tabrani Muhammad Ilham Prasetya Muhammad Luthfiy Kurniawan Harsono muhammad luthfiy kurniawan harsono Nurajijah Nurmalasari - Prasetyo, Basuki Hari Sigit Kurniawan Siswanto, Siswanto Susafa'ati Yuris Alkhalifi