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Sauri, Sovian
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Journal : Indo-MathEdu Intellectuals Journal

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Efektivitas Penggunaan Visual Learning Tools dalam Pembelajaran Sequence Diagram bagi Siswa SMK Jurusan Rekayasa Perangkat Lunak Zulkipli, Zulkipli; Syahrian, Ekal; Sauri, Sovian; Rania, Salwa; Amad, Lalu Dafa Al
Indo-MathEdu Intellectuals Journal Vol. 7 No. 1 (2026): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v7i1.5053

Abstract

This study aims to examine the effectiveness of visual learning tools in improving students' understanding of sequence diagram concepts in vocational high schools majoring in Software Engineering (RPL). The study uses a quantitative approach with a quasi-experimental design involving two groups, namely the experimental group who learned using visual learning tools and the control group who used conventional learning methods. Data were collected through objective tests to measure students' cognitive understanding of sequence diagram concepts. Data analysis was performed using a t-test to determine the difference in average learning outcomes between the two groups. The results showed that students in the experimental group obtained significantly higher scores than the control group. These findings indicate that the use of visual learning tools is effective in improving students' understanding of sequence diagram concepts. Graphic and dynamic visual representations help students model object interactions more concretely, thereby reducing cognitive load and supporting the UML learning process more effectively.
Pengembangan Integrated Learning Lab untuk Simulasi Network Function Virtualization (NFV) Menggunakan Openstack Zulkipli, Zulkipli; Aranbi, Muhammad Defa; Putri, Lara Aulia; Purnomo, Renno; Rania, Salwa; Sauri, Sovian
Indo-MathEdu Intellectuals Journal Vol. 7 No. 1 (2026): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v7i1.5136

Abstract

The development of cloud computing-based computer network technology requires flexible, scalable, and efficient infrastructure. This challenge has an impact on computer network learning, which still relies heavily on theoretical approaches and physical laboratories with limited equipment and costs. This study aims to examine the development of an Integrated Learning Lab as a simulation-based network learning medium using Network Function Virtualization (NFV) on the OpenStack platform. The methods used are literature review and conceptual analysis of the concepts of NFV, OpenStack, and integrated learning laboratory models in the context of computer network education. The results of the study show that NFV enables network functions such as routers, firewalls, and load balancers to run virtually as Virtual Network Functions without dependence on special hardware. OpenStack acts as a Virtualized Infrastructure Manager that centrally manages computing and network resources, thereby supporting realistic NFV simulations. The discussion shows that the NFV and OpenStack-based Integrated Learning Lab has the potential to improve students' conceptual understanding and practical skills, while providing a flexible and efficient learning environment. This study concludes that the laboratory model is relevant for application in computer network learning to bridge academic needs and the demands of the modern network industry.
Co-Authors Amad, Lalu Dafa Al Anggerain, Nining Aranbi, Muhammad Defa Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Imanuel, Yohanes Purnomo, Renno Putri, Lara Aulia Rania, Salwa Sri Astuti Iriyani Syahrian, Ekal Zulkipli Zulkipli