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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Sitorus, Mhd Arfan
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Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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ANALISIS EFEKTIVITAS RAW FIREWALL MIKROTIK DALAM MITIGASI SERANGAN DDOS PADA INFRASTRUKTUR JARINGAN Sitorus, Mhd Arfan; Nasution, Darmeli; Iqbal, Muhammad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3930

Abstract

 Abstrak: Serangan Distributed Denial of Service (DDoS) merupakan salah satu ancaman serius terhadap stabilitas dan ketersediaan layanan jaringan. MikroTik RouterOS menyediakan fitur RAW Firewall sebagai salah satu metode mitigasi serangan DDoS dengan memfilter paket pada tahap awal sebelum masuk ke connection tracking. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan RAW Firewall pada MikroTik dalam mengatasi serangan DDoS pada infrastruktur jaringan. Metode yang digunakan adalah simulasi serangan DDoS menggunakan perangkat uji dan melakukan konfigurasi RAW Firewall untuk memblokir trafik yang terindikasi serangan. Hasil pengujian menunjukkan bahwa penerapan RAW Firewall mampu mengurangi beban CPU Router hingga 35% selama serangan berlangsung dibandingkan penggunaan filter firewall biasa, serta dapat mempertahankan stabilitas bandwidth pada jaringan. Penelitian ini diharapkan dapat menjadi referensi praktis dalam meningkatkan ketahanan jaringan terhadap serangan DDoS menggunakan MikroTik. Kata kunci: DdoS, MikroTik, RAW Firewall, Mitigasi, Keamanan Jaringan.
Analisis Prediksi Pretasan Data Pribadi Berdasarkan Umur Pengguna Di Kota Tanjungbalai Menggunakan Algoritma C4.5 Sitorus, Mhd Arfan; Nasution, Darmeli; Iqbal, Muhammad
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1589

Abstract

Personal data security has become a critical issue amidst the rapid development of digital technology. Online activities such as social media use, online transactions, and cloud data storage have increased the potential risk of hacking. This study aims to predict the level of risk of personal data hacking based on the age and digital behavior of users in Tanjungbalai City. Age is thought to influence users' awareness and habits in maintaining data security, such as the use of strong passwords, utilization of two-step verification, and the use of protective software. This study used a data mining approach with the C4.5 algorithm to build a classification model that identifies age groups with high vulnerability to hacking. Data were collected through a questionnaire with an ordinal scale that reflects respondents' digital behavior and experience. The results show a significant pattern between age, digital habits, and the level of hacking risk, and produce a classification model that can be used as a basis for decision-making regarding data security policies. These findings are expected to contribute to the development of more effective digital education strategies that are adaptive to user demographic characteristics.
Co-Authors Muhammad Iqbal Nasution, Darmeli