Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Nasywa Aurora, Cindy
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Digital Marketing melalui Media Sosial Tik Tok untuk Home-Based Business: Studi Kasus Akun @umi.asih Nasywa Aurora, Cindy; Wijiyanto, Wijiyanto
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/8tnm0d55

Abstract

Media sosial Tik Tok telah berkembang menjadi salah satu platform digital yang efektif dalam mendukung pertumbuhan Home-Based Business, khususnya bagi pelaku usaha mikro dan kecil. Penelitian ini bertujuan untuk menganalisis peran Tik Tok sebagai sarana promosi dan komunikasi dalam pengembangan Home-Based Business, dengan studi kasus pada akun Tik Tok @umi.asih. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan studi kasus. Data diperoleh melalui observasi dokumentatif terhadap konten video Tik Tok yang diunggah oleh akun @umi.asih selama periode April–Juni 2025. Hasil penelitian menunjukkan bahwa penggunaan Tik Tok secara strategis dapat meningkatkan visibilitas usaha, membangun kedekatan dengan pengguna, dan mendorong loyalitas pelanggan. Temuan ini memperkuat posisi Tik Tok tidak hanya sebagai media hiburan, tetapi juga sebagai alat pemasaran digital yang efektif, murah, dan berdampak besar terhadap pertumbuhan bisnis rumahan.
XGBOOST-BASED SENTIMENT ANALYSIS OF MACROECONOMIC POLICY YOUTUBE COMMENTS Arum Sari, Aprilisa; Nasywa Aurora, Cindy; Nair Mogan, Jashila
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2026: Proceeding of the 7th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/dsqzcs54

Abstract

Public reaction to macroeconomic policy is increasingly expressed through YouTube comment sections, yet this unstructured text is rarely used to gauge sentiment toward government decisions such as exchange-rate management. This study builds and evaluates an XGBoost-based classifier to automatically label the sentiment of YouTube comments discussing Indonesia's macroeconomic policy, particularly the depreciation of the Rupiah. A dataset of 17,838 manually labeled Indonesian-language comments (positive, negative, neutral) was collected and preprocessed through case folding, text cleaning, Indonesian stopword removal, and stemming using the Sastrawi library, then represented as 5,000-dimensional TF-IDF feature vectors. An XGBoost multi-class classifier was trained on an 80:20 stratified train-test split. The model achieved an overall accuracy of 85.68%, with the highest F1-score obtained for the neutral class (0.90) and a comparatively lower recall for the positive class (0.70) due to class imbalance. Word cloud visualization revealed that terms such as “pemerintah,” “rupiah,” and “ekonomi” dominated across all sentiment classes, while “melemah” and “krisis” distinctly marked negative sentiment. These findings demonstrate that XGBoost combined with TF-IDF is an effective and computationally efficient approach for monitoring public sentiment toward macroeconomic policy on social media.
Co-Authors Arum Sari, Aprilisa Nair Mogan, Jashila Wijiyanto Wijiyanto, Wijiyanto