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All Journal JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi
David JM Sembiring
Institut Teknologi dan Bisnis Indonesia, Medan
Computer Science & IT Decision Sciences, Operations Research & Management

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Implementasi Keamanan Jaringan Firewall Filtering Berbasis Mikrotik Mutiarani Sinaga; Periman Lafau; Erna Simbolon; Santi Rosalinda Sihombing; David JM Sembiring
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 2 (2025): Juli 2025
Publisher : Institut Teknologi dan Bisnis Indonesia

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Abstract

The development of network technology has shifted from cables to Wireless Local Area Networks (WLAN), allowing devices to connect and access the internet without cables, providing more flexibility. Internet use extends to various sectors, such as governments, companies and schools, making activities easier. However, unwise use of the internet can cause negative impacts, such as accessing irrelevant sites or logging into illegal servers, which compromise network security and performance, such as on Adam Net. To overcome this problem, it is necessary to implement Firewall Filtering using a Mikrotik router, which can control network traffic and limit access to certain sites, increasing network security on Adam Net
Perancangan Sistem Prediksi Minat Mata Pelajaran Siswa di Sekolah SDT Muhammadiyah Dengan Metode Algoritma Naive Bayes Asyadila; David JM Sembiring; Sri Novida Sari
JISTI: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol. 1 No. 3 (2025): Oktober 2025
Publisher : Institut Teknologi dan Bisnis Indonesia

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Abstract

The design of a student subject interest prediction system at SDT Muhammadiyah School is crucial to help the school understand and enhance the quality of education. This system is developed using the Naive Bayes algorithm method, which is known to be effective in analyzing historical data to predict students' preferences for specific subjects. With this system, the school can identify the subjects most favored by students, enabling the development of more targeted and interest-aligned learning strategies. Based on this issue, the author designed a student subject interest prediction system at SDT Muhammadiyah School using the Naive Bayes algorithm method.
Co-Authors Asyadila Erna Simbolon Mutiarani Sinaga Periman Lafau Santi Rosalinda Sihombing Sri Novida Sari