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All Journal Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Informatika Kaputama (JIK) Indo-MathEdu Intellectuals Journal Bakti Sekawan : Jurnal Pengabdian Masyarakat
Zulkipli Zulkipli
Mahasiswa Teknologi Pembelajaran Pascasarjana-Universitas Negeri Malang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Health Professions Mathematics Social Sciences Other

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Peningkatan Kompetensi Guru SMAN 7 Mataram dalam Melaksanakan Pembelajaran dengan Pendekatan Deep Learning Azwar, Muhamad; Hariyadi, I Putu; Azhar, Raisul; Priyanto, Dadang; Adil, Ahmat; Santoso, Heroe; Syahrir, Moch.; Augustin, Kartarina; Zulkipli, Zulkipli; Darma, I Made Yadi; Asroni, Ondi; Qulub, Mudawil; Azhar, Lalu Zazuli; Widyawati, Lilik; Anas, Andi Sofyan
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v5i2.852

Abstract

The capability of educators to respond to the dynamics of 21st-century education is a primary determinant in establishing a high-quality learning environment. Based on initial findings at SMAN 7 Mataram, a disparity was identified between the urgency of applying varied learning models and the reality in the field, which still relies heavily on conventional, teacher-centered approaches. This situation implies minimal active student participation and suboptimal stimulation of critical thinking skills or Higher Order Thinking Skills (HOTS). This community service program was initiated to escalate teacher capacity at SMAN 7 Mataram, specifically in designing Deep Learning-based schemes. The implementation approach adopted the Participatory Action Research (PAR) method, involving the full attention of 70 teachers through a series of phases, ranging from preparation and implementation to evaluation and mentoring. Key interventions included training on compiling Deep Learning-oriented Lesson Plans and teaching simulations. Program effectiveness was measured through questionnaires, lesson plan document reviews, and observations. Evaluation data showed a substantial positive impact, marked by an increase in conceptual understanding of Deep Learning indicators (40%), 6C principles (40%), the teacher's function as a facilitator (32%), and the application of authentic assessment (40%). In terms of implementation, the quality of lesson plans accommodating student-centered activities surged significantly from 30% in the pre-activity phase to 100% after the activity. It can be concluded that this program effectively boosts teachers' pedagogical competence comprehensively and encourages the transformation of teaching practices in the classroom to become more dynamic.
Penerapan Collaborative Learning dalam Pembelajaran White-Box Testing: Studi Kasus pada Pengujian Looping dan Condition Branch Zulkipli, Zulkipli; Putri, Lara Aulia; Aranbi, Muhammad Defa; Purnomo, Reno; Wea, Yohanes Emanuel Dala
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.v7i1.5043

Abstract

Software testing learning, particularly white-box testing, is an important competency in Information Technology Education, but it remains a challenge for students because it requires an understanding of complex program logic. Difficulties arise mainly in the material on testing program control structures, such as looping and condition branches. This study aims to analyse the application of the collaborative learning method in white-box testing learning in this material. The research used a qualitative descriptive approach with a case study design involving students from the Information Technology Education Study Programme. Data were collected through observation of the learning process, analysis of group assignment results, and student reflections. Data analysis was carried out through the stages of data reduction, data presentation, and conclusion drawing. The results of the study indicate that the application of collaborative learning can improve students' conceptual understanding, program logic analysis skills, and cooperation skills in solving source code testing problems. In addition, students showed increased activity in discussions and the ability to explain program logic flows systematically. Thus, the collaborative learning method is effective in white-box testing learning, especially in looping and condition branch material.
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 Adrian, M. Reza Ahmat Adil Alfian, Khaerul Amad, Lalu Dafa Al Amri, Haerul Andi Sofyan Anas Anthony Anggrawan Aranbi, Muhammad Defa Ariq, Tomy Augustin, Kartarina Azhar, Lalu Zazuli Azhar, Raisul Daindo Milla Darma, I Made Yadi Eko Saputra Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Hariyadi, I Putu Irawaty Irawaty Isnain, M. Firdaus Lilik Widyawati Lutfie, Muhammad Hilal Mumtaz Mohammad Efendi Muhamad Azwar, Muhamad Muhammad Tahir Muhammad Tahir Mujamil, Ahmad Nulkamil, Putra Hasan Ondi Asroni Prasetyo, Bimo Purnomo, Renno Purnomo, Reno Putri, Lara Aulia Qulub, Mudawil Rania, Salwa Reliubun, Abdurrahman Shaleh Riskila, Aprila Kusuma Risla, Syaif Al Feiqo Sahar, Adnan Santoso, Heroe Sauri, Sovian Sihkabuden Sihkabuden Supriantono, Herman Sutrisno, Shendy Emilia Putri Syahrian, Ekal Syahrir, Moch. Syaikhurrahman, Muh v, Sovian Wea, Yohanes Emanuel Dala