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All Journal IJIE (Indonesian Journal of Informatics Education) Journal of Mathematics and Mathematics Education (JMME) Jurnal Ilmiah Sinus DEDIKASI: Community Service Reports Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) MASALIQ: Jurnal Pendidikan dan Sains Journal of Multidisciplinary Science: MIKAILALSYS JGHTT DEDIKASI: Community Service Reports
Muhammad Hassan Massaty, Muhammad Hassan
Politeknik Nest
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Other

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The Role of AI in Fostering Computational Thinking and Self-Efficacy in Educational Settings: A Systematic Review Massaty, Muhammad Hassan; Fahrurozi, Slamet Kurniawan; Budiyanto, Cucuk Wawan
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 1 (2024): IJIE (Indonesian Journal of Informatics Education) - July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i1.89596

Abstract

This systematic review explores the impact of artificial intelligence (AI) on the development of computational thinking and self-efficacy within educational environments. Computational thinking, a foundational skill in problem-solving, is increasingly recognized as essential for navigating a technology-driven world. AI tools and methodologies have been integrated into educational practices to enhance learning experiences and outcomes. This review synthesizes current literature to examine how AI technologies contribute to the cultivation of computational thinking skills among students of various ages and educational levels. Furthermore, it investigates the role of AI in bolstering students' self-efficacy confidence in one's ability to achieve goals in learning computational concepts. By analyzing empirical studies and educational interventions, this review identifies key mechanisms through which AI supports the development of these critical skills. Insights from this synthesis underscore the potential of AI to transform educational paradigms, providing opportunities for personalized learning, adaptive feedback, and collaborative problem-solving. The findings highlight implications for educators, policymakers, and researchers aiming to leverage AI effectively in educational settings to foster computational thinking and enhance students' self-efficacy, thereby preparing them for future challenges in a digital age.
The Application of Arduino-Based Line Follower Robotics Technology as a Tool to Enhance Students' Self-Efficacy Fahrurozi, Slamet Kurniawan; Massaty, Muhammad Hassan; Budiyanto, Cucuk Wawan; Sutanto, Bayu
IJIE (Indonesian Journal of Informatics Education) Vol 8, No 2 (2024): (IJIE) Indonesian Journal of Informatics Education - December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijie.v8i2.97994

Abstract

This study focuses on a detailed analysis of the Robotics Self-Efficacy Test, aiming to evaluate its effectiveness in measuring students' confidence levels across specific robotics tasks. Using robotics as a learning medium, this research enhances student engagement and practical skills in technical areas. Addressing a gap in precise self-efficacy measurement tools for robotics education, the study employs the RSE-Test to assess confidence in essential robotics tasks, such as robot assembly, programming, and control. Data collection involved a 10-item RSE-Test questionnaire completed by 30 students engaged in robotics activities, followed by a statistical analysis to calculate mean scores, standard deviations, item-total correlations, and Pearson correlational analysis. The overall mean score was 3.9835, indicating high confidence, with a pooled standard deviation of 0.687, showing minimal variation. The pooled Standard Error of the Mean was 0.128, reflecting high precision in estimating the overall mean. Cronbach’s Alpha of 0.810 confirms the test's strong internal consistency, and item-total correlations ranged from 0.423 to 0.703, supporting the reliability of the RSE-Test. Pearson correlation analysis revealed significant relationships between items, further validating the tool. Results indicate high self-efficacy in basic robotics tasks, although students showed slightly lower confidence in more advanced tasks, suggesting areas for further support. This study validates the RSE-Test as an effective tool for measuring self-efficacy in technical education, emphasizing the role of foundational skills in building student confidence. The findings provide valuable insights for curriculum developers, suggesting the need for targeted support in advanced robotics tasks.
ARTIFICIAL INTELLIGENCE AS INNOVATION IN MATHEMATICS LEARNING IN VOCATIONAL SCHOOLS: A SYSTEMATIC REVIEW Fahrurozi, Slamet Kurniawan; Massaty, Muhammad Hassan; Muslim, Riyadi
Journal of Mathematics and Mathematics Education Vol 14, No 2 (2024): Journal of Mathematics and Mathematics Education (JMME)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jmme.v14i2.99927

Abstract

Kecerdasan Buatan (AI) telah muncul sebagai inovasi transformatif dalam pendidikan matematika kejuruan, yang menawarkan peluang baru untuk meningkatkan hasil pembelajaran dan mengatasi tantangan yang sudah lama ada. Tinjauan sistematis ini bertujuan untuk mengeksplorasi penerapan AI dalam pendidikan matematika kejuruan, dampaknya terhadap keterlibatan, kinerja, dan kepuasan siswa, serta tantangan yang terkait dengan integrasinya. Dengan menggunakan kerangka kerja PRISMA, studi ini menganalisis artikel yang ditinjau sejawat yang diterbitkan antara tahun 2020 sampai 2025, yang bersumber dari basis data seperti Scopus, Web of Science, SpringerLink, dan ScienceDirect. Temuan tersebut mengungkapkan bahwa perangkat AI, termasuk Intelligent Tutoring Systems (ITS), asisten virtual, dan aplikasi gamifikasi, telah berhasil diterapkan untuk mempersonalisasi pembelajaran dan meningkatkan hasil siswa. Perangkat ini telah menunjukkan dampak positif yang signifikan, seperti peningkatan keterlibatan siswa, peningkatan nilai ujian, dan tingkat kepuasan yang lebih tinggi. Namun, tantangan seperti infrastruktur yang terbatas, kesiapan guru, dan masalah etika terkait privasi data dan bias algoritmik menghambat adopsi yang meluas. Studi ini menyimpulkan bahwa meskipun AI memiliki potensi besar untuk merevolusi pendidikan matematika kejuruan, mengatasi hambatan ini sangat penting untuk implementasi yang adil dan efektif. Penelitian di masa mendatang harus difokuskan pada pengembangan solusi AI yang hemat biaya, perluasan program pelatihan guru, dan eksplorasi dampak jangka panjang AI pada pendidikan kejuruan. Tinjauan ini memberikan wawasan berharga bagi para pendidik, pembuat kebijakan, dan peneliti yang berupaya memanfaatkan AI untuk pembelajaran matematika yang inovatif dan inklusif di sekolah kejuruan.
Integrasi IoT dan Biofiltrasi dalam Sistem Akuaponik NFT sebagai Solusi Ketahanan Pangan di Desa Sedayu: Integration of IoT and Biofiltration in NFT Aquaponic Systems as a Solution for Food Security in Sedayu Village Muhammad Hassan Massaty; Slamet Kurniawan Fahrurozi; Dimas Epin Pamilih Adrian
DEDIKASI: Community Service Reports Vol. 8 No. 1 (2026): DEDIKASI: Community Service Report - January
Publisher : Faculty of Teacher Training and Education, Universitas Sebelas Maret, Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/dedikasi.v8i1.3022

Abstract

Ketahanan pangan merupakan isu strategis yang menuntut inovasi dalam pemanfaatan sumber daya terbatas secara efisien. Kegiatan pengabdian ini bertujuan untuk mengenalkan dan mengimplementasikan sistem akuaponik berbasis IoT dengan biofiltrasi di Desa Sedayu, Klaten, Jawa Tengah, sebagai solusi praktis peningkatan ketahanan pangan rumah tangga. Metode pelaksanaan mencakup sosialisasi, pelatihan teknis, eksperimen dengan tiga konfigurasi kolam (Kolam 1: 100 ikan dengan biofiltrasi mekanik; Kolam 2: 50 ikan dengan biofiltrasi mekanik; Kolam 3: 50 ikan dengan filtrasi mekanik tanpa biofiltrasi), pendampingan, serta evaluasi. Hasil menunjukkan bahwa Kolam 1 memberikan performa terbaik pada tanaman kangkung dengan rata-rata tinggi 28,5 cm dan bobot segar 30,0 g per tanaman, serta pertumbuhan ikan nila dengan bobot akhir 50,3 g per ekor dan total biomassa meningkat 2,3 kg meskipun nilai FCR lebih tinggi (1,8). Kolam 2 menunjukkan pertumbuhan moderat dengan efisiensi pakan lebih baik (FCR 1,6), sementara Kolam 3 menghasilkan pertumbuhan terendah akibat penurunan kualitas air. Selain itu, hasil kuesioner mengindikasikan bahwa masyarakat memiliki harapan tinggi terhadap penerapan teknologi ini, terutama dalam meningkatkan ketahanan pangan rumah tangga (rata-rata skor 4,65) dan kemampuan mengelola sistem secara mandiri. Dengan demikian, integrasi akuaponik IoT dan biofiltrasi terbukti berpotensi sebagai solusi berkelanjutan dalam mendukung ketahanan pangan sekaligus membuka peluang usaha berbasis pertanian terpadu.
Implementation of Arduino-Based Line Follower Robotics Technology for Practical Automation Learning at SMK Negeri 1 Kaliwungu Massaty, Muhammad Hassan; Fahrurozi, Slamet Kurniawan; Budiyanto, Cucuk Wawan
DEDIKASI: Community Service Reports Vol 7, No 1 (2025): DEDIKASI: Community Service Report - January
Publisher : FKIP Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/dedikasi.v7i1.96485

Abstract

The application of Arduino-based robotics technology in vocational education has received significant attention as a practical learning method, especially in fostering automation skills. This community service focuses on the development and implementation of a line follower robot project at SMK Negeri 1 Kaliwungu to support practical learning in the automotive engineering program. This project introduces students to the basic concepts of automation through hands-on experience in microcontroller programming, sensor integration, and electronic circuit design using the Arduino platform. This community service adopts a project-based learning approach, involving students in designing, building, and testing a line follower robot. This method aims to bridge theoretical knowledge and practical applications, equipping students with skills that are in line with industry demands. The implementation is carried out in a structured learning environment supported by adequate facilities and modern tools to simulate real-world scenarios. The practical results show that students show significant improvements in their understanding of automation systems, problem-solving abilities, and technical skills relevant to robotics and automotive applications. Furthermore, the project-based approach encourages collaborative teamwork and independent learning, preparing students to face the challenges of a rapidly evolving technological landscape. This service highlights the potential of integrating Arduino-based robotics into vocational school curricula as a medium to enhance practical skills and technological literacy. It also provides a replicable framework for other institutions looking to incorporate automation technology into their educational programs.
Co-Authors A.G. Tamrin, A.G. Aditya Wahyu Ramadhan Ariel Yonatan Alin Aris Budianto, Aris Cucuk Wawan Budiyanto Daning Kusumawardani Dimas Pamilih Epin Andrian Muslim, Riyadi Safira, Safira Slamet Kurniawan Fahrurozi Sutanto, Bayu Yudianto Sujana