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All Journal Teika Jurnal Restikom : Riset Teknik Informatika dan Komputer
Arif Nur Cahyo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

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Deteksi Teks Promosi Judi Online Pada Kolom Komentar YouTube dengan Metode Regex dan Fuzzy Matching Arif Nur Cahyo; Riky Hermawan; Moh Avin Dharma Wijaya; Anggraini Puspita Sari
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 7 No 2 (2025): Agustus
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v7i2.441

Abstract

Maraknya penyebaran konten bermuatan judi online di media sosial, khususnya pada kolom komentar YouTube, mendorong perlunya pengembangan sistem deteksi otomatis untuk meminimalkan potensi penyalahgunaan platform digital. Penelitian ini bertujuan merancang sistem yang mampu mengidentifikasi komentar yang mengandung unsur perjudian secara akurat dan efisien. Kontribusi utama dari penelitian ini adalah penerapan gabungan metode Regular Expression (Regex) dan Fuzzy Matching dalam konteks deteksi teks komentar YouTube, yang masih jarang dibahas dalam studi sebelumnya. Regex digunakan untuk mendeteksi pola eksplisit terkait kata-kata perjudian, sementara fuzzy matching berperan dalam mengenali variasi penulisan atau plesetan yang sulit ditangkap oleh pendekatan konvensional. Hasil evaluasi menunjukkan bahwa sistem ini mampu mendeteksi komentar judi dengan tingkat akurasi sebesar 90,85%, menunjukkan bahwa pendekatan gabungan ini efektif digunakan sebagai solusi awal dalam mendukung penyaringan komentar negatif di media sosial.
Implementasi Teknologi Data Mining dan Notifikasi Bot untuk Mendukung Keputusan Trading Cryptocurrency Rizky Parlika; Riky Hermawan; Rendra Ardika; Arif Nur Cahyo; Muhammad Wifaqul Azmi; Misbahul Munir
TeIKa Vol 15 No 2 (2025): Jurnal
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/n7afej11

Abstract

Cryptocurrency trading has an extremely high level of price volatility, which creates the need for traders to have a decision support system capable of providing market analysis quickly and adaptively. Therefore, the automated system developed in this study integrates data mining technology and a Telegram bot to strengthen traders in making buy–sell decisions for crypto assets. This system uses the public API of Indodax to obtain real-time price data and analyzes it using the RSI indicator dynamically, rather than relying on static indicator data. The analysis results are then connected to a Telegram bot, enabling it to send automatic notifications when overbought or oversold conditions occur. In addition, these automated results are also utilized in a system that has already integrated previous RSI analysis. Through the “before, now, and after” perspective, the system is able to provide updated prices, the latest interactive charts, and reminders via the bot, making it easier for users to monitor the market and respond to opportunities. This approach offers an integrated solution for trading decision-making based on technical analysis and real-time communication, as it increases the speed of decision-making and demonstrates flexibility in analyzing various coin pairs and time frames.
Co-Authors Anggraini Puspita Sari Misbahul Munir Moh Avin Dharma Wijaya Muhammad Wifaqul Azmi Parlika, Rizky Rendra Ardika Riky Hermawan