Article Per Year (5 Year)
p-Index From 2021 - 2026
2.862
P-Index
This Author published in this journals
All Journal JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL FARMASIMED (JFM) Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat JIFI (Jurnal Ilmiah Farmasi Imelda) Jurnal Pengmas Kestra (JPK) Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Pendidikan Dasar dan Menengah: Edumedia
Ratih Anggraeni
Fakultas Farmasi Universitas Muhammadiyah Purwokerto, Jalan Raya Dukuh Waluh, PO BOX 202, 53182, Telp. (0281) 636751
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
DETECTION OF MICRO-VIRAL CONTENT ON TIKTOK THROUGH SOCIAL LISTENING AND MACHINE LEARNING Anggraeni, Ratih; Purwadi; Subarkah, Pungkas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7472

Abstract

The phenomenon of micro-virality on TikTok illustrates how content can rapidly spread on a small scale before reaching broader virality. Understanding its driving factors is essential for supporting digital marketing strategies, managing content creators, and analyzing social media trends. This study aims to detect and predict the potential of micro-virality in TikTok videos by integrating a social listening approach with machine learning techniques. The dataset consists of approximately 4,000 TikTok posts enriched with 20 features across five categories, including user metadata (author popularity, follower ratio), temporal features (posting time and day), network features (hashtags and mentions), content features (text length and keywords), and contextual elements (trending music and video duration). To ensure objective labeling, a quantile-based threshold was applied, categorizing videos in the top 25% of view counts (≥ 26,300,000 views) as viral, resulting in a class distribution of 24.74% viral and 75.26% non-viral. To address this imbalance, the SMOTENC technique was used to oversample the minority class and enhance data representativeness. Three machine learning algorithms Random Forest, Extreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN) were implemented. Experimental results show that Random Forest improved from 88% to 92%, XGBoost maintained strong performance at 95%, and ANN increased significantly from 92% to 93% after SMOTENC application. These findings indicate that SMOTENC effectively improves model generalization and reduces bias toward majority classes, supporting more reliable early-stage virality prediction. Overall, the study enriches social media analytics research and provides practical insights for optimizing TikTok content strategies and early trend detection.
Pendampingan Media Pembelajaran Berbasis Artificial Intelligence Untuk Meningkatkan Kinerja Guru Subarkah, Pungkas; Arsi, Primandani; Rofiqoh, Dayana; Anggraeni, Ratih; Riyanto
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 7 No. 1 (2026): Vol. 7 No. 1, April 2026
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v7i1.1268

Abstract

One institution that plays a role in education is the school. Their contribution to the development of high-quality human resources for a country's advancement is very important, namely, educators or teachers. Therefore, the position of learning is very important to continue to be the driving force for learning units or schools so that they can continue to improve the quality of learning or the quality of learning for their students. One way to improve the quality of educators or teachers is by improving teacher performance. The purpose of this service is to improve teacher performance through artificial intelligence training, in order to add to and improve teacher performance in the current era at SMA Negeri 1 Banyumas. The methods used to carry out this activity included the preparation stage, the implementation stage, and the evaluation stage. The results obtained from the mentoring of learning media based on artificial intelligence showed that the 31 participating teachers experienced an increase in their knowledge and skills, as evidenced by the post-test results, which scored 91%. It is hoped that similar training will continue to be carried out in the future.
Co-Authors ., Muriati Anggraini Sembiring, Syaiba Arsi, Primandani Fadlilah Widyaningsih Felix Kasim Indradewa, Rhian Juliana, Iga Lingga, Nola Monalisa Lubis, Amelia Hasana M Taufik Alfyan Maharani, Anisa Marbun, Romauli Anna Miftahul Jannah Pranata, Chandra Pungkas Subarkah Purwadi Rahayu, Yayuk Suyudi Riyanto Rofiqoh, Dayana Romauli Anna Teresia Marbun Samgryce Siagian, Hartika Samosir, Sri Rezeki Setiani Setiani, Setiani Siagian, Hartika Samgryce Sihombing, Yanna Rotua Sinaga, Falentina Subarkah, Pungkas Sudarso Sudarso Susanti Susanti Syarifuddin, Aminah tanjung, nurhaliza Tri Jayanti, Tri Wachyu Wulandari, Wachyu