ZACHRI, AUZAN NAUFAL (2026) ANALISIS SENTIMEN PADA ULASAN PENGGUNA APLIKASI MYTELKOMSEL DI GOOGLE PLAY STORE MENGGUNAKAN ALGORITMA SVM. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
This study aims to analyze the sentiment of MyTelkomsel app users' reviews on the Google Play Store using the Support Vector Machine (SVM) algorithm. Data were obtained through web scraping of 19,989 user reviews from 2021 to 2025. The collected reviews were then processed through text preprocessing before being classified into three sentiment categories: positive, negative, and neutral. The results showed that negative sentiment dominated user reviews with 10,886 reviews, followed by neutral sentiment with 4,756 reviews and positive sentiment with 4,367 reviews. The evaluation results showed that the SVM algorithm was able to classify user review sentiment with good performance. These findings can be used as a basis for evaluation for app developers in improving service quality and user experience. Keywords: Analyze Sentiment, MyTelkomsel, Support Vector Machine Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi MyTelkomsel di Google Play Store menggunakan algoritma Support Vector Machine (SVM). Data diperoleh melalui web scraping terhadap 19.989 ulasan pengguna pada periode 2021 hingga 2025. Ulasan yang dikumpulkan kemudian diproses melalui tahapan preprocessing teks sebelum diklasifikasikan ke dalam tiga kategori sentimen, yaitu positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa sentimen negatif mendominasi ulasan pengguna dengan jumlah 10.886 ulasan, diikuti sentimen netral sebanyak 4.756 ulasan dan sentimen positif sebanyak 4.367 ulasan. Hasil evaluasi menunjukkan bahwa algoritma SVM mampu mengklasifikasikan sentimen ulasan pengguna dengan performa yang baik. Temuan ini dapat digunakan sebagai dasar evaluasi bagi pengembang aplikasi dalam meningkatkan kualitas layanan dan pengalaman pengguna. Kata Kunci : Analisis Sentimen, MyTelkomsel, Support Vector Machine
| Item Type: | Thesis (S1) |
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| NIM/NIDN Creators: | 41820010026 |
| Uncontrolled Keywords: | Analisis Sentimen, MyTelkomsel, Support Vector Machine |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | khalimah |
| Date Deposited: | 28 Feb 2026 07:13 |
| Last Modified: | 28 Feb 2026 07:13 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/101288 |
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