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All Journal Briliant: Jurnal Riset dan Konseptual EPIC : Journal of Electrical Power, Instrumentation and Control Likhitaprajna: Jurnal Ilmiah Fakultas Keguruan Ilmu Pendidikan Universitas Wisnuwardhana Malang Cakrawala: Jurnal Pendidikan RUBINSTEIN Lembaran Ilmu Kependidikan
Chusna, Chufadatul
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Pengembangan Modul Pembangkit Listrik Tenaga Surya untuk Mendukung Praktikum Siswa pada Mata Pelajaran Perangkat Pembangkit Kelas XI Kompetensi Keahlian Teknik Pembangkit Tenaga Listrik di SMK Chusna, Chufadatul; Wibawanto, Slamet; Mahandi, Yogi Dwi
EPIC Journal of Electrical Power Instrumentation and Control Vol 7 No 1 (2024): EPIC
Publisher : Universitas Pamulang, Prodi teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/epic.v7i1.39420

Abstract

The teaching material is an important element in the learning process because it has a variety of crucial functions. First, the material allows the student to learn independently without the presence of a teacher or a friend. Second, the student can study anywhere and at any time according to their wishes. Third, it helps the student become an independent learner. Lastly, it serves as a guide that guides the student's learning activity. As a result of interviews with instructors in the field of Electrical Equipment, it is known that the material module of the Solar Power Plant does not support learning. Therefore, the aim of this study is to create a learning module about electrical devices that can be used as a learning support in the classroom for students in class XI of Electric Power Plant Engineering at SMK. Using the 4D model (Define, Design, Develop, and Disseminate), this is a development module that has four chapters: solar energy, general PLTS descriptions, components, and PLTS operations. The results of the study showed that the generator learning module created was highly valid, with an average of 93.40% of all tests. Validity of expert 1 reached 95.07% with highly valid category, validity of specialist 2 reached 95.83%, and validity test of small and large groups reached 89.22% with very valid categories, respectively.
Evaluasi Kurikulum Pendidikan Untuk Pembelajaran Berkelanjutan: Menghadapi Tantangan Global Chusna, Chufadatul; Widiyanti
Cakrawala: Jurnal Pendidikan Vol. 18 No. 2 (2024)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/cakrawala.v18i2.446

Abstract

Evaluasi kurikulum pendidikan menjadi semakin penting dalam menghadapi tantangan global yang kompleks. Penelitian ini menggunakan metode penelitian berupa studi kepustakaan. Tujuannya mengulas berbagai aspek evaluasi kurikulum dari beberapa jurnal yang meliputi implementasi Kurikulum Merdeka, Kurikulum 2013, Kurikulum KTSP, dan Kurikulum Berbasis Kompetensi PAI di berbagai tingkat pendidikan. Temuan menyoroti perlunya peningkatan pemahaman guru dan kepala sekolah terhadap indikator penilaian, peningkatan mutu pembelajaran melalui berbagai metode pembelajaran dan proyek ekstrakurikuler, serta peran penting evaluasi dalam mengatasi tantangan seperti kendala infrastruktur dan keterbatasan sumber daya manusia. Selain itu, penelitian juga menunjukkan relevansi desain Kurikulum Berbasis Kompetensi KKNI untuk mempersiapkan sumber daya manusia yang kompetitif dalam menghadapi persaingan global. Dengan demikian, penelitian ini memberikan wawasan yang berharga bagi pengembangan kurikulum pendidikan yang responsif terhadap dinamika global saat ini.
Studi Komparasi Model PBL dan PBL HYBRID berbasis STEAM terhadap Pemahaman Konsep Dasar-Dasar Listrik Siswa SMK Teknik Pembangkit Tenaga Listrik Chusna, Chufadatul; Chisbiyah, Lismi Animatul
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 4 (2024): Volume 9 Nomor 4, November 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i4.1770

Abstract

Comprehension of concepts plays a crucial role in the learning journey. The utilization of various learning models can influence students' grasp of these concepts. (1) It has been found that there is a correlation between student participation rates and concept understanding when using two different learning models, (2) it has been found that when using a Problem Based H learning model, classes with high and low activity levels showed the most significant difference in understanding concepts. The study involved students of the TPTL expertise program at Brantas Karangkates SMK. This is a real experimental research. The study sample consists of two groups. In this research, the data underwent analysis through descriptive methods, preliminary tests, and hypothesis testing utilizing SPSS statistical software. Findings indicated that the hybrid STEAM-based PBL learning model, the STEAM-based learning model, and the conventional STEAM learning model demonstrated varying levels of concept comprehension across highly active and moderately low active classes.
The Effectiveness of the STEAM-based PBL Model in Understanding Basic Electrical Concepts among Vocational High School Students Chusna, Chufadatul; Yoto, Yoto; Herwanto, Heru Wahyu
Lembaran Ilmu Kependidikan Vol. 53 No. 2 (2024): Educational Theory and Practice
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/lik.v53i2.6592

Abstract

This research explores the effectiveness of the STEAM-based Problem-Based Learning (PBL) model in improving Vocational High School (SMK) students' understanding of basic electrical concepts. Through a literature review of 12 articles published since 2020, the study synthesizes findings on the integration of STEAM (Science, Technology, Engineering, Arts, and Mathematics) into PBL to promote deeper conceptual understanding and practical skills. The results show that the STEAM-based PBL model enhances student engagement, collaboration, and problem-solving skills by linking theory to real-life applications. This approach not only improves knowledge retention but also fosters the development of critical thinking and teamwork, which are essential for vocational students' success. The study concludes that this model is highly effective for vocational education, recommending its broader implementation to better prepare students for future challenges in technical fields. The novelty of this research lies in its focus on the combined application of STEAM and PBL in vocational education, providing a comprehensive approach to both theoretical and practical learning.
Optimizing Vocational Human Resource Development through AI and Adaptive Learning Integration: A Systematic Literature Review (2019-2025) Chusna, Chufadatul; Hadi, Syamsul; Sugandi, Machmud
Jurnal Likhitaprajna Vol 28 No 1 (2026): April 2026
Publisher : FKIP Universitas Wisnuwardhana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/likhitaprajna.v28i1.962

Abstract

This study aims to analyze the integration of Artificial Intelligence (AI) and adaptive learning in vocational education and its implications for vocational human resource development. A Systematic Literature Review (SLR) approach was conducted following PRISMA guidelines, covering peer-reviewed articles published between 2019 and 2025 from Scopus, DOAJ, SpringerLink, and Google Scholar. A total of 10 selected studies were analyzed using thematic synthesis to identify patterns, models, and research gaps. The findings indicate that AI-driven adaptive learning enhances competency development through data-driven personalization, learning analytics, predictive mechanisms, and immersive technologies. A cross-study synthesis reveals that AI improves learning efficiency, skill relevance, and lifelong learning capacity; however, it also exposes a critical imbalance between technical skill development and the limited integration of soft skills. Furthermore, the relationship between adaptive learning systems and workforce outcomes is non-linear and influenced by pedagogical design, institutional readiness, and industry alignment. This study proposes an integrated AI–adaptive learning framework that connects technological, pedagogical, and workforce perspectives, contributing to more adaptive, human-centered, and industry-relevant vocational education systems.
Effects of IoT–PLC-Based Smart-Industry Learning Model on Problem-Solving and Critical Thinking Skills of Electrical Engineering Students Chusna, Chufadatul; Purnomo; Sutadji, Eddy
RUBINSTEIN Vol. 4 No. 2 (2026): RUBINSTEIN (juRnal mUltidisiplin BIsNis Sains TEknologI & humaNiora)
Publisher : LP3kM Buddhi Dharma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/rubin.v4i2.4588

Abstract

This study examines the effect of an IoT–PLC-based Smart-Industry learning model on students’ problem-solving and critical thinking skills in electrical engineering education. However, empirical studies investigating how IoT–PLC-based instructional models influence higher-order cognitive skills remain limited, particularly in vocational and electrical engineering education contexts. Despite the increasing integration of Industry 4.0 technologies in education, previous studies have primarily focused on technical skill development and often lack empirically validated pedagogical frameworks. The study employed a quantitative quasi-experimental design with a pretest–posttest control group, involving an experimental group taught through the IoT–PLC-based Smart-Industry learning model and a control group taught through conventional instruction. A total of 60 undergraduate students were selected through cluster sampling and assigned to experimental and control groups. Data were collected using validated instruments, with reliability confirmed by Cronbach’s alpha coefficients above 0.70. The results indicate that the experimental group achieved significantly higher improvements than the control group (p < 0.05), with large effect sizes observed for both problem-solving (d = 1.45) and critical thinking (d = 1.39). These findings suggest that an IoT–PLC-based Smart-Industry learning model may enhance higher-order cognitive skills, particularly problem-solving and critical thinking, within the specific context of electrical engineering education.
Co-Authors Eddy Sutadji Heru Wahyu Herwanto Lismi Animatul Chisbiyah Machmud Sugandi Purnomo Slamet Wibawanto Syamsul Hadi Widiyanti Yogi Dwi Mahandi Yoto Yoto, Yoto