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Rosita
Universitas Negeri Surabaya
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Journal of Applied Informatics Research

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Student Clustering Based on Subject Grades: A K-Means Approach to Clustering Study Groups Rosita; Fitria
Journal of Applied Informatics Research Vol. 1 No. 1 (2025): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jair.v1i1.44597

Abstract

Pengelompokan siswa berdasarkan nilai akademik merupakan pendekatan strategi untuk meningkatkan efektivitas pembelajaran dalam pendidikan vokasi. Penelitian ini mengimplementasikan algoritma K-Means untuk mengelompokkan siswa Sekolah Menengah Kejuruan (SMK) ke dalam tiga klaster utama: Kelompok Bimbingan (nilai rendah), Kelompok Potensial (nilai sedang), dan Kelompok Unggulan (nilai tinggi). Data yang digunakan mencakup nilai dari 12 mata kuliah dalam program keahlian Teknik Komputer Jaringan dan Telekomunikasi. Hasil analisis menunjukkan bahwa pengelompokan mampu mengidentifikasi pola belajar siswa dan memberikan rekomendasi strategi pembelajaran yang tepat untuk setiap klaster. Klaster 1 memerlukan bimbingan intensif, Klaster 2 dapat diarahkan pada tantangan akademik, dan Klaster 3 memerlukan program pengayaan untuk mengoptimalkan potensinya. Penelitian ini menunjukkan bahwa pendekatan berbasis data, seperti pengelompokan, memberikan manfaat yang signifikan dalam mendukung pembelajaran yang dipersonalisasi dan mempersiapkan siswa untuk kebutuhan dunia kerja.
Campus Network Design and Construction Using Cisco Packet Tracer Simulation Fitria; M Adamu Islam Mashuri; Rosita
Journal of Applied Informatics Research Vol. 1 No. 1 (2025): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jair.v1i1.44676

Abstract

The development of information technology encourages educational institutions to have a reliable and structured computer network infrastructure. This study aims to design a campus computer network using Cisco Packet Tracer simulation with a VLAN segmentation approach and star topology. The methods used include identifying network requirements, designing topology, allocating IP subnets using subnetting techniques, and configuring devices such as routers, switches, and access points. The RIPv2 protocol is used to support communication between VLANs, and DHCP is implemented to facilitate automatic IP address assignment. The simulation results show that all devices in the network can be connected to each other well, as evidenced by connectivity tests using the ping and tracert commands. All tests produced positive responses without any packet loss or failed communication routes. This study proves that Cisco Packet Tracer is an effective tool in designing and testing networks before physical implementation.
Co-Authors Fitria M Adamu Islam Mashuri