Unsilah, Firda Ulfa (2025) Analisis Sentimen Masyarakat Terhadap Kolaborasi Antara Tiktokshop Dan Tokopedia: Pembentukan Regulasi Baru Untuk (Social e-Commerce) Di Indonesia. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
This study aims to analyze public sentiment toward the collaboration between Tiktok Shop and Tokopedia in the formation of new social e-commerce regulations in Indonesia. The issue stems from controversies surrounding Tiktok Shop’s activities, which were considered harmful to local MSMEs and in violation of digital laws. In response, the government encouraged collaboration between the two platforms. Public comments from social media platforms such as YouTube and Instagram were analyzed using the Learning Vector Quantization (LVQ) algorithm. The analysis process involved data crawling, text preprocessing, weighting (TFIDF and BOW), model training, and sentiment classification. Out of 1,955 data points, the best result was achieved at the 26th epoch with a validation accuracy of 78.77%. The TF-IDF method proved superior to BOW, with an accuracy difference of approximately 2.4%. The best-performing model was implemented into a website system for automatic sentiment classification. This research is expected to contribute to understanding public opinion and serve as a consideration for policymakers in formulating regulations related to social e-commerce.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Firda Ulfa Unsilah | ||||||
| Date Deposited: | 18 Jun 2025 03:07 | ||||||
| Last Modified: | 18 Jun 2025 03:08 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/42025 |
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