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All Journal International Journal of Electrical and Computer Engineering Proceedings of KNASTIK Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal on Computing (Indo-JC) JIKO (Jurnal Informatika dan Komputer) Limits: Journal of Mathematics and Its Applications MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Aiti: Jurnal Teknologi Informasi Idealis : Indonesia Journal Information System J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Innovative: Journal Of Social Science Research Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science Limits: Journal of Mathematics and Its Applications
Alz Danny Wowor
Universitas Kristen Satya Wacana
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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Journal : Innovative: Journal Of Social Science Research

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Analisis Sentimen Terhadap Kualitas Perbandingan Satelit Starlink dan Telkom Menggunakan Pendekatan Machine Learning Aneria, Gianina Dea; Wowor, Alz Danny
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.21085

Abstract

The development of satellite communication technology has created opportunities for high-speed internet services across various regions, including remote areas. Starlink, which operates using low Earth orbit (LEO) satellites, and Telkom, which utilizes geostationary (GEO) satellites alongside terrestrial infrastructure, are two major providers in Indonesia. This study examines sentiment analysis of the service quality of Starlink and Telkom using a machine learning approach. Data were collected from the X (Twitter) platform and processed through cleaning, case folding, tokenization, slang word normalization, stopword removal, and stemming. Three classification algorithms were employed: Naïve Bayes, Decision Tree, and Random Forest. The results show that Decision Tree achieved the highest accuracy of 100%, followed by Random Forest at 96% and Naïve Bayes at 80%. Sentiment analysis revealed that Starlink was favored for its speed and connection stability, whereas Telkom was more appreciated for its affordability and service coverage. These findings provide an objective overview of user perceptions that can be utilized to improve service quality and strategic planning.
Co-Authors A.A. Ketut Agung Cahyawan W ahmad ramadhani Andeka Rocky Tanaamah Aneria, Gianina Dea Ardika, Zefanya Aryatama, Andrew Ananta Bakar, Theis Huyo Rooney Bambang Susanto Canavaro, Claudio David Lihananto Dimara, Indri Erwien Christianto Felix David Jesajas, Marthen Billy Kaho, Monica Louisa Ratu Kuniarti Paraditasari Kuniarti Paraditasari Liwandouw, Vania Beatrice Magdalena A. Ineke Pekereng Magdalena Ariance Ineke Pakereng Maria Rosalina Yopeng Monica Dias Febriyanti Nathanael, Hizkia Pallangan, Jorghie Theodore Pallangan, Jorghie Theodore Kenzo Putri, Febyola Kurnia Tiara Salama, Aditya Simanjuntak, Yohanes Albryan Susanto, Vincent Exelcio Susilo Wibowo, Ayub Teguh Septianto Nahading Vania Beatrice Liwandouw Vania Beatrice Liwandouw Wibowo, Alvin Cahyo Widiana, Kadek Yos Richard Beeh