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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Jurnal Teknologi Informasi dan Ilmu Komputer Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Proceeding of the Electrical Engineering Computer Science and Informatics International Journal of Artificial Intelligence Research INTEGER: Journal of Information Technology Faktor Exacta JMM (Jurnal Masyarakat Mandiri) Jurnal Teknoinfo JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Informasi dan Komputer Dinasti International Journal of Education Management and Social Science Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Infortech Jurnal Generic Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bioscientist : Jurnal Ilmiah Biologi Jurnal Pengabdian kepada Masyarakat Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications TECHSI - Jurnal Teknik Informatika Jurnal INFOTEL Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering Journal of Digital Market and Digital Currency
M Said Hasibuan
Institute Informatika Dan Bisnis Darmajaya
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Journal : International Journal of Artificial Intelligence Research

 1 
The Classification Method is Used for Sentiment Analysis in My Telkomsel Hardiansyah, Deni; Aziz, RZ Abdul; Hasibuan, Muhammad Said
International Journal of Artificial Intelligence Research Vol 8, No 2 (2024): December 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i2.1229

Abstract

User reviews significantly impact how mobile apps are perceived and provide developers with valuable insights into improving the functionality and quality of their products. Sentiment analysis of these evaluations helps identify the main issues faced by consumers, such as technical difficulties, costs, and service levels. The main objective of this study is to classify user sentiment into positive and negative categories, focusing on the MyTelkomsel app. With the use of Google Play Scraper, 39,493 reviews on various app versions and user experiences were collected. This data was analyzed using multiple machine learning models, including Support Vector Machines (SVM), Naive Bayes, Random Forest, and Gradient Boosting, alongside the Natural Language Processing (NLP) approach. The results show that 39.2% of the reviews are positive, while 60.8% reflect negative sentiment. Among the models, SVM showed the highest accuracy in sentiment classification with a value of (0.854792), while Naive Bayes (0.775541), Random Forest (0.829725), and Gradient Boosting (0.819344) also performed well in sentiment classification. These findings suggest that developers can leverage the insights gained from this analysis to proactively improve the performance and user experience of the MyTelkomsel app, by addressing technical and service-related issues identified in user reviews.
Co-Authors - Nurfiana A Adven Tonny A Feriyanto Abdi Darmawan Abror , Muhamad Achmad Aldi Sakoni Adam Japal Adi Wijaya Admi Syarif Afdal Wahyu Prayuda Agus, Isnandar Al Hafiz, Dzaki Ali Nasution Andry Ferianto anggalia wibasuri Anuar Sanusi Anuar Sanusi Arbi Gunawan ARDIANSYAH ARDIANSYAH Ari Rohmawati Arie Setya Putra Arman Suryadi Karim, Arman Suryadi Aziz, RZ. Abdul Bagus Yuda Pratama Baruna Wisnu Wardana Baskoro Baskoro Chaniago, Firdaus Dani Apriansyah Danil, Sapni Delli Maria Denny Prastiawan Destiawan Destiawan Dewi, Deshinta Arrova Dian Saputra Dika Tondo W Diki Andita Kusuma Doni Andrianto Dworo, Dworo Effendi, M. Junius Eko Budi Wicaksono Eko Zulkaryanto Elis Malana Fauziah Zahra Ramadhani Febriana, Annisa Arsya Fely Dany Prasetya Fernando, Rhino Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Tri Wahyudi Fitria Fransiska, Devi Gismara, Rio Gumelar, Muhamad Agung Guntur Tiara Wahyu Hidayah handoyo widi nugroho Hardiansyah, Deni Henderi . Hendri Purnomo Herawadi S, Novi Hermansyah, Idi Hermanto, Muhammad Haris Herwanto, Riko Indriani, Della Niken Ismail, Abdul Azim Bin Isnaini Bastari Iwan Tri Bowo Khristina Henny R Kumala, Dian Agustin Arta Kurnia Muludi Kurniawan Kurniawan, Tri Basuki Kusuma, Rizfan Radya Widyan Aditya Laila, Siti Nur M. Arif Prayoga M. Arif Rifai M. Royan Fauzi Mahfut Maizary, Ary Marzuki Marzuki Melda Agarina Melda Agharina Muhammad Fahmi Hafidz Mukhas Munif Ahsani Munaa Munaa Munaa, Munaa Nathan Nurdadyansyah Nathan, Yogeswaran Netty Sefriyanti Nosiel Nosiel Novi Herawadi Sudibyo Novi Herawadi Sudibyo, Novi Herawadi Novita Sari Nurdiyanto, Heri Nurhayati Nurhayati Nurpambudi, Ramadhan Nuryana, Sapta Adi Oktaviani, Hafina Onno W Purbo Periasamy, Jeyarani Pratama, Bagus Yuda Pratama, Tomy Adi Prayoga, M. Arif Prayuda, Afdal Wahyu Prilian Ayu Winarni Purbo, Onno W Putra, M. Natsir Hendy Tri R Rizal Isnanto R, Khristina Henny Rahmadi, Lendy Rahmalia Syahputri Rahmalia Syahputri Rahmawati, Lilla Rakhman, M. Nugrahadi Ramadhani, Fauziah Zahra Rangga Firdaus Ratih Pratiwi Ratna Nurhaya Renita Dwi Astuti Ridho Kurniawan RIDHO KURNIAWAN, RIDHO Rizky Yulizar Rahman Romadhoni, Nuzul Rahmat Rosandi, Triowali Rosandy, Triowali Ruki Rizal Sakoni, Achmad Aldi Sapni Danil Saputra, Agus Savitri, Ratna Selfiyana, Reva Setiawan, Anton Setiyono . Sigit Andriyanto Singagerda, Faurani Santi Singh, Harprith Kaur Rajinder Siti Khodijah Situmorang, Klaudia SB SRI RAHAYU Sri Ratna Sulistiyanti Suci Mutiara Sutedi Sutedi Suwandi Tetra Praja Utama Tri Winarti Triloka, Joko Wahyu Bintono Wardiasa, Komang Wasilah Wibaselppa, Anggawidia Widi Nugroho, Handoyo Winda Rika Lestari Y Verawati Y. Suhendro Yeh, Ming-Lang Yeni Purnamasari, Yeni Yogi Maulana Yoni Hisbullah Yudha, Efrian Prama Yusuf, Suhendro Zainal A. Hasibuan Zakaria, Mohd Zaki