Sentiment Analysis of Digitalization of Small and Medium Enterprise on Social Media X Using SVM and KNN Method - Dalam bentuk buku karya ilmiah
MUHAMMAD DZAKIYUDDIN HAIDAR
Informasi Umum
Kode
25.04.1383
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Data Science
Dilihat
22 kali
Informasi Lainnya
Abstraksi
The rapid digitalization of Small and Medium Enterprises (SMEs) has led to significant shifts in business operations,<br /> especially in their adaptation to digital platforms. Public perception towards this digital transformation is crucial to understand, as<br /> it reflects the success and acceptance of these efforts. This research conducts sentiment analysis on social media platform X to<br /> classify public opinions regarding the digitalization of SMEs. The analysis employs two machine learning algorithms, Support<br /> Vector Machine (SVM) and K-Nearest Neighbor (KNN), using Term Frequency-Inverse Document Frequency (TF-IDF) for<br /> feature extraction. The study compares the performance of both models under baseline and hyperparameter-tuned conditions. The<br /> results show that the SVM model consistently outperforms KNN in terms of accuracy, precision, recall, and F1-score. The highest<br /> accuracy achieved by the SVM model is 81.97% after hyperparameter tuning with a sigmoid kernel. Meanwhile, the best KNN<br /> model records an accuracy of 81.31% using Manhattan distance with 11 neighbors. This study demonstrates that SVM provides<br /> better stability and performance in sentiment classification related to SME digitalization. The findings are expected to help<br /> policymakers better understand public sentiment and formulate more effective strategies for supporting SME digital<br /> transformation.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | MUHAMMAD DZAKIYUDDIN HAIDAR |
| Jenis | Perorangan |
| Penyunting | Kemas Muslim Lhaksmana |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
