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All Journal Jurnal Sains dan Teknologi Journal of Education and Learning (EduLearn) Jurnal Dinamika Pendidikan dan Pembelajaran Jurnal Inovasi Teknologi Pendidikan FLYWHEEL : Jurnal Teknik Mesin Untirta Jurnal Penelitian Pendidikan Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) INVOTEC Jurnal Dinamika Pendidikan dan Pembelajaran Jurnal Dimensi Pendidikan dan Pembelajaran Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Teknik PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Pengabdian kepada Masyarakat Nusantara Inovasi Kurikulum Jurnal Abmas
Kamin Sumardi
Universitas Pendidikan Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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Kemampuan Guru SMK Mengimplementasikan Artificial Intelligence dalam Perangkat Ajar Sumardi, Kamin; Rohendi, Dedi; Saripudin, Saripudin; Ramadhan, Muhammad Oka
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 4 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi September - Desembe
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i4.4244

Abstract

The implementation of the Merdeka Curriculum prioritizes a differentiated approach in its learning process. Differentiation is clearly achieved by grouping students' learning outcomes based on their growth phases. The Merdeka Curriculum accommodates six phases: Phase A, B, C, D, E, and F. These phases are designed to build effective learning and achieve learning objectives in a timely manner. Effective learning must be supported by high-quality teaching materials, which in turn will support efficient learning time, active student engagement, and quality education. Artificial Intelligence (AI technology can assist teachers in creating good and high-quality teaching materials. This community service activity employs an in-house training method with persuasive, collaborative, and participatory approaches. The training was conducted over two days, on Friday and Saturday, July 19-20, 2024, at SMKN 1 Cinangka, Serang Regency, Banten. The materials covered included creating e-modules and scientific papers with the help of AI. The training was attended by 55 participants. The results of the training indicate that, on average, 69% of vocational school teachers already have knowledge about AI, 57% have an understanding of AI, and 69% have implemented AI in their teaching materials. Overall, the training results show that 65% of the participants have acquired basic skills in creating e-modules and scientific papers with the help of AI. Therefore, com\munity service through AI training is very much needed by vocational school teachers.
Kompetensi Digital Guru SMK Menghadapi Tantangan Pembelajaran Digital Masnah, Siti Laily; Komaro, Mumu; Sumardi, Kamin
JURNAL DIMENSI PENDIDIKAN DAN PEMBELAJARAN Vol 12 No 2 (2024): July 2024
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/dpp.v12i2.9211

Abstract

This study aims to obtain digital competency data for vocational school teachers, digital training that has been attended by vocational teachers, the use of digital infrastructure, and the readiness of schools to face digitalization. The research method used is ex-post facto through a survey with a quantitative descriptive approach. The survey was conducted on 39 teachers at SMKN 8 Bandung. Data is collected through a questionnaire using the Google form. The results of the study showed that the digital competency of vocational school teachers was quite good. On average, 67% of vocational teachers already have digital competence. Teachers who have attended training related to digital competence obtained data of 32%. All teachers have utilized digital infrastructure in schools, but this has not been done optimally. A small number of teachers still experience difficulties in utilizing digital learning infrastructure. School readiness in preparing for digitalization of learning obtained data of 76%. These results show that the digital competency of vocational school teachers and school readiness in facing digitalization must be improved.
Strategi Penerapan Deep Learning di SMK Swasta: Deep Learning Implementation Strategy in Private Vocational Schools Sumardi, Kamin; Setiawan, Agus; Rohendi, Dedi
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 11 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i11.10285

Abstract

Deep learning is a policy currently being implemented in primary and secondary education, as well as in vocational schools. The implementation of deep learning in learning in vocational schools requires an exceptional understanding for teachers. This training aims to gather data and facts about the knowledge, experience, and implementation of deep learning among private vocational school teachers. The method employed is in-house training, utilizing a participatory and collaborative approach. The training was held at LPS Ciamis Private Vocational School. The training participants were 40 private vocational school teachers. The instrument used was a questionnaire using Google Forms. The results of the training showed that an average of 68% of private vocational school teachers already had a deep understanding of learning. As many as 15.8% of private vocational school teachers are familiar with the basic concept of deep learning. This knowledge was obtained from social media, friends, and the web, to the extent of 31.6%, 26.3%, respectively. As many as 89.5% of private vocational school teachers agreed that deep learning can improve the quality of learning. The teachers already have a high degree of understanding of the purpose of implementing deep learning in vocational schools, with approximately 98% understanding. 47.4% of private vocational school teachers are ready to implement deep learning, while 47.4% of private vocational school teachers are not ready to implement deep learning. Thus, deep learning still requires intensive socialization and training so that vocational school teachers can implement deep learning into the subjects they teach.
DEVELOPMENT OF MRV FUNCTION MODE FOR PRACTICAL LEARNING IN REFRIGERATION AND AIR CONDITIONING SYSTEM Mutaufiq, Mutaufiq; Irwanto, Asep A. R.; Taqwali Berman, Ega Taqwali Berman; Sumardi, Kamin
Journal of Mechanical Engineering Education Vol 12, No 1 (2025): June 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmee.v12i1.33281

Abstract

Recovery and Vacuum Machine (MRV) is a refrigerant recovery tool in practical courses, so that refrigerant is not wasted during practicum. MRV is important to develop in order to improve practicum services. This study aims to develop MRV so that it can carry out the refrigerant recycle-recovery and recharging processes practically. MRV development is carried out experimentally through a research and development approach. The MRV trial results were carried out on a refrigerator type cooling machine. Testing to determine the performance of the MRV when working on vacuum, recovery-recycle, and refrigerant recharge modes automatically and to determine the performance of the refrigerator after recovery-recycle. The results of the development in the form of a new MRV construction with dimensions of 55 cm x 49 cm x 55.5 cm have been realized. MRV testing shows that the MRV results can work on vacuum, recovery-recycle and refrigerant recharging modes well at a Vacuum time setting of 10 minutes, recovery-recycle 5 minutes, and recharging 5 minutes. In addition, the refrigerator performance observed through the parameters of evaporator cabin temperature, electrical power, and compressor pressure showed good results.
Co-Authors Aditya Prabowo Agus Setiawan Amay Suherman Apri Wiyono Ari A. Ramadhan, Ari A. Ariyano Ariyano, Ariyano Asep A. Ruri Irwanto Berman, Ega T Dedi Rohendi Dedi Supriawan, Dedi Dewi Puspita Sari Dewi, Ratu Y Djohar, As’ari Ega T. Berman, Ega T. Ega Taqwali Berman Enang S. Arifiyanto, Enang S. Erika Erika Giantari,, Devinda Naufal Hafidz, Radif A. Haikal Haikal Hardikusumah, Inu Hendri Sulistyo Ikhsani, Fahry Nur Khairad Irman Maolani Irwanto, Asep A. R. Iskandar, Novandreas Maman Rakhman, Maman Masnah, Siti Laily Maulana, Muhammad Farhan Muhammad Noor, Ridwan Adam Mulyana, Muhammad I. Mumu Komaro Mutaufiq Mutaufiq Mutaufiq Mutaufiq Mutaufiq Mutaufiq Mutaufiq Mutaufiq, Mutaufiq Nessy Solihati, Nessy Noor, Ridwan A.M. Pramudita, Yulan E. Purnawan Purnawan Radif Abdul Hapidz Ramadhan, Muhammad Oka Ratnasari, Asri Ridwan A.M. Noor Ridwan AM Noor, Ridwan AM Rizal Zenal Muqodas, Rizal Zenal Rusdiana, Herman Salim, Azmi R. salman, Fachrurrazi Saripudin Saripudin Sodikin, Muhamad A Sukandar, Aan Sulistiawan, Febri Suma, Enang Syaeful Ahmad, Syaeful Syamsuri Hasan, Syamsuri Taqwali Berman, Ega Taqwali Berman Wahid Munawar Yogasmana, Yopi Yulianto, Wisnu D. Yundari, Yundari Zakaria, Asep