Siti Fatimah Az Zahrah
Universitas Multi Data Palembang

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Analisis Sentimen Fenomena “Brewek” Kartu Pokémon Pada Platform Reddit Menggunakan Arsitektur RoBERTa Siti Fatimah Az Zahrah; Klaudius Audie Irsansaputra; Muhammad Rizky Pribadi
Applied Information Technology and Computer Science (AICOMS) Vol 5 No 1 (2026): AICOMS
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/t3a91d20

Abstract

Social media platforms such as Reddit have long served as major discussion forums for various communities. This study aims to analyze public sentiment in order to understand community trends and perceptions toward Pokémon TCG. The research applies the RoBERTa (Robustly Optimized BERT Approach) Deep Learning architecture using the pre-trained model “cardiffnlp/twitter-roberta-base-sentiment” to perform sentiment analysis. The text data were cleaned, tokenized with a maximum limit of 512 tokens, and classified into positive, neutral, and negative sentiments, followed by word length distribution analysis and Top-N Words extraction. The model successfully classified sentiments objectively. The visualization results reveal the characteristics of word distribution after outlier handling and identify the top ten keywords representing the main discussion focus within each sentiment label. The findings indicate that the community sentiment is predominantly negative, providing a clear overview of the opinion dynamics within the Pokémon community on Reddit.
Optimasi Strategi Repeat Buyer pada E-commerce Indonesia Melalui Pendekatan Dynamic Programming untuk Bundling Product Multi-Kategori Siti Fatimah Az Zahrah; Yeremia Agung Chandra; Yohannes Yohannes
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 7, No 1: JUNI 2026
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v7i1.8956

Abstract

Penelitian ini bertujuan untuk mengoptimalkan strategi peningkatan repeat buyer pada e-commerce di Indonesia melalui penyusunan rekomendasi bundling product multi-kategori berbasis pendekatan komputasional. Pendekatan yang digunakan adalah Dynamic Programming melalui model optimasi Knapsack yang dikombinasikan dengan analisis Threshold Standard Deviation untuk menyaring kategori produk berdasarkan kedekatan demografis pelanggan. Proses penelitian meliputi tahap preprocessing data, pemodelan parameter bobot dan profit, optimasi kombinatorial, serta penentuan prioritas rekomendasi berbasis customer profiling. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan rekomendasi bundling yang relevan dan terpersonalisasi berdasarkan usia dan riwayat transaksi pelanggan. Dynamic Programming menunjukkan performa yang lebih stabil dan efisien pada kompleksitas data yang lebih tinggi, meskipun pada dataset kecil Brute Force memiliki waktu eksekusi lebih cepat. Secara keseluruhan, pendekatan yang diusulkan dinilai mampu meningkatkan akurasi rekomendasi serta mendukung strategi pemasaran untuk mendorong loyalitas pelanggan.
Edukasi Pencegahan Phising Melalui Peningkatan Literasi Keamanan Siber Di SMP Negeri 61 Palembang Siti Fatimah Az Zahrah; Migel Orvin Febryan; Siska Amelia; Syalsabilla Valentisyesa; Joseph Eduard Uly Loni; Iis Pardesan; Dafid
Manaruko: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Manaruko: Jurnal Pengabdian Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/manaruko.v5i1.99

Abstract

Cybercrime in the form of phishing has become a growing threat among students due to the high intensity of internet and social media usage without adequate digital security awareness. This community service activity aimed to improve students' understanding of phishing prevention through cyber security literacy education at SMP Negeri 61 Palembang. The activity involved 26 junior high school students and was conducted using educational methods consisting of material presentations, interactive discussions, case studies, and simple simulations. The materials covered the definition of phishing, types of attacks, identification of suspicious links, protection of personal data, and preventive measures in digital activities. The results showed that participants experienced increased understanding and awareness regarding phishing threats and digital security practices. Participants were also able to identify phishing characteristics and apply preventive actions in daily internet usage. This activity concluded that interactive cyber security education can effectively improve digital literacy and foster safer digital behavior among students.