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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Simetris JOIV : International Journal on Informatics Visualization IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI Paradigma Journal of Information Technology and Computer Science (JOINTECS) Jurnal CoreIT Techno Nusa Mandiri : Journal of Computing and Information Technology Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research INTI Nusa Mandiri Jurnal Sistem Informasi KLIK: Kajian Ilmiah Informatika dan Komputer Computer Science (CO-SCIENCE) Paradigma Jurnal Insan Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS SATIN - Sains dan Teknologi Informasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen
Yuris Alkhalifi
Universitas Bina Sarana Informatika, Jakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Analisis Sentimen Stakeholder Atas Layanan Haidjpb Pada Media Sosial Twitter Dengan Menggunakan Metode Support Vector Machine dan Naïve Bayes Harsono, Muhammad Luthfiy Kurniawan; Alkhalifi, Yuris; Nurajijah; Gata, Windu
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 16 No. 1 (2022): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

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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 Fachrurozi Achmad Rifai Agung Fazriansyah Agung Fazriansyah Ainun Zumarniansyah Aldo Erianda, Aldo Amir Amir Amir Amir Amir Anas Faisal Annisa Elfina Augustia Annisa Elfina Augustia Destia Sari Rahmadhani Fadillah Dinar Ismunandar Dinar Ismunandar Dipa Putra Pratama Ferda Ernawan Firdaus, Muhammad Rifqi Firstianty Wahyuhening Fibriany Fitra Septia Nugraha Gata, Windu Harsono, Muhammad Luthfiy Kurniawan Hasan Basri Imam Budiawan Irmawati Irmawati Irwan Herliawan Ispandi Ispandi, Ispandi Kartika Puspita Kartika Puspita Khairul Rizal khairul rizal Kudiantoro Widianto, Kudiantoro Mayangky, Nissa Almira Mery Oktaviyanti Puspitaningtyas Mohammad Syamsul Azis Muhammad Ilham Prasetya Muhammad Luthfiy Kurniawan Harsono muhammad luthfiy kurniawan harsono Muhammad Rifqi Firdaus Nila Hardi Nur Alam Nurajijah Nurajijah Oky Kurniawan Prasetya, Arfhan Puspita, Kartika Qudsiah Nur Azizah Rahdian Kusuma Atmaja Resi Taufan Rian Ardianto Rifki Sadikin Rino Ramadan Shahreen Kasim, Shahreen Tika Adilah M Tri Rivanie Windu Gata Windu Gata Yan Rianto Yulita Ayu Wardani Zahrah Rachmawaty