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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE) JURNAL SISTEM INFORMASI BISNIS Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan Teknologi dan Kejuruan JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Pendidikan Indonesia Jurnal Inovasi Teknologi Pendidikan Jurnas Nasional Teknologi dan Sistem Informasi JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Teknik Sistemasi: Jurnal Sistem Informasi Al Ishlah Jurnal Pendidikan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Journal of Educational Research and Evaluation Journal of Applied Engineering and Technological Science (JAETS) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat JPTE: Jurnal Pendidikan Teknik Elektro JTEIN: Jurnal Teknik Elektro Indonesia Mosharafa: Jurnal Pendidikan Matematika MSI Transaction on Education Jurnal Abdimas Kartika Wijayakusuma Jurnal Vokasi Mekanika The Indonesian Journal of Computer Science SNTE Journal of Industrial Automation and Electrical Engineering
Krismadinata Krismadinata, Krismadinata
Unknown Affiliation
Arts Humanities Automotive Engineering 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 Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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A Meta Analisis Pengaruh Model PjBL terhadap Kemampuan Berpikir Kreatif Peserta Didik Widyastuti, Rini; Jalinus, Nizwardi; Ridwan; Abdullah, Rijal; Krismadinata
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3946

Abstract

The Project Based Learning (PjBL) model is a learning strategy where students work on projects that help solve community/environmental problems. The ability to think at a higher level is a life skill that students must develop to face the challenges of life in the 21st century. One of the abilities at a high level is the ability to think creatively. The aim of this research is to analyze the effect of project-based learning on creative thinking skills. This research method is meta-analysis using a sample of 16 articles from various article sources. The research was conducted using quantitative methods using the OpenMEE application as a measure of effect size. The results of the meta-analysis show that the application of the PjBL model significantly influences students' creative thinking abilities as seen from various subjects and levels of education, from elementary school to college. The average effect size results are in the very high category, which means that the application of the PjBL model in learning influences creative thinking abilities
Efektivitas Pembelajaran Science Technology Engineering and Math (STEM) terhadap Hasil Belajar di Sekolah: Meta Analisis Siregar, Winda Lestari; Syafrijon, Syafrijon; Giatman, Giatman; Ganefri, Ganefri; Krismadinata, Krismadinata; Jalinus, Nizwardi
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3972

Abstract

Education at the high school (SMA) and vocational school (SMK) levels faces challenges in preparing creative and competent students. To address these challenges, a combination of technology is needed in the fields of science, mathematics, and engineering. A study on the implementation of STEM (Science, Technology, Engineering, and Mathematics) in learning in Indonesia. To test its effectiveness, a meta-analysis was conducted which included 25 articles published between 2018 and 2023. The findings showed that STEM learning has a significant role in improving student learning outcomes with an overall effect size of 6,89. Based on the data analysis of the application of the STEM approach, it can develop the ability to solve problems rationally, conduct research, question, collaborate, criticize, analyze and can also improve the ability to access information, adapt to change, make decisions, produce, be responsible, show curiosity, interact in a social and cultural context, and develop leadership and entrepreneurship traits in students. The STEM approach provides a solid foundation for developing a variety of skills and attitudes that are important in facing the challenges and demands of the modern world of students.
Transformation of Students' Career Orientation in the Era of Artificial Intelligence: A Systematic Literature Review Yupelmi, Mimi; Ganefri; Giatman, Muhammad; Krismadinata; Syah, Nurhasan
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4078

Abstract

This research revolves around the challenges faced by students in aligning their career orientation with demands and changes, as many traditional jobs are threatened by AI technology. The aim of this study is to identify trends in the transformation of students' career orientation in the era of Artificial Intelligence (AI), map the career challenges for students in the AI era, analyze the skills and competencies required, and assess the role of educational institutions in supporting this career transformation. The research method applied in this study is a systematic literature review. The initial stages involve collecting literature sources from scholarly databases and proceeding with a screening process to select literature relevant to the research focus. Finally, in-depth analysis of selected literature is conducted to identify patterns, trends, and key points related to the research topic. The results of the study describe that the development of AI technology has a significant impact on students' career orientation in higher education. Furthermore, students also face career challenges such as competition with technology, uncertainty about future employment, and skills gaps. To address these challenges, students need to develop technical AI skills, ethical AI understanding, problem-solving abilities, and continuous learning skills to succeed in the AI job market. On the other hand, higher education institutions should play a proactive role in addressing these challenges by developing relevant curricula, organizing training sessions, collaborating with industries, and enhancing AI learning facilities. Further research is suggested to focus on the implementation of these strategies in the specific context of higher education institutions and evaluate their impact on student career preparedness in the evolving AI era.
Unravelling the Evolution of Mathematics Problem-Solving Research: A Bibliometric Analysis Using VOSviewer Shinta Sari; Krismadinata Krismadinata
Mosharafa: Jurnal Pendidikan Matematika Vol. 14 No. 3 (2025): July
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v14i3.2571

Abstract

Keterampilan pemecahan masalah merupakan bagian yang sangat mendasar dalam pendidikan matematika karena mengembangkan kemampuan penalaran dan berpikir kritis siswa. Dalam dua dekade terakhir, pengetahuan dan kesadaran di bidang ini telah berkembang pesat hingga literatur yang ada menjadi kaya, beragam, dan seringkali sulit untuk dipahami. Dengan demikian, penelitian ini membahas perlunya pemetaan sistematis tren penelitian dan kerangka kerja intelektual dalam pemecahan masalah matematika. Penelitian ini bertujuan untuk mengidentifikasi perkembangan tema-tema utama, publikasi yang berpengaruh, dan jaringan kolaboratif di bidang ini. Sejumlah publikasi dari tahun 2000-2004 digunakan, yang diterbitkan dalam basis data ScienceDirect, dan dibatasi oleh kebijakan akses terbuka. Data yang digunakan dalam penelitian ini dianalisis melalui VOSviewer untuk menilai jaringan dalam kepenulisan bersama, sitasi bersama, dan kemunculan bersama kata kunci. Penelitian ini menunjukkan bahwa jumlah publikasi meningkat secara signifikan selama bertahun-tahun, topik penelitian yang sedang hangat diidentifikasi, serta area penelitian baru yang muncul, seperti pemodelan matematika dan optimasi. Temuan-temuan tersebut diprediksi akan memberikan informasi tentang arah penelitian di masa depan dan pendekatan pengajaran lainnya. Problem solving skill is a very fundamental part of mathematics education since it develops students’ reasoning and critical thinking abilities. In the past 2 decades, knowledge and awareness of this field have expanded dramatically to the extent that the literature is now rich, diverse, and often difficult to wade through. Thus, this research addresses the necessity to systematically map the research trends and intellectual framework in mathematics problem-solving. This research aims to identify the development of key themes, influential publication, and collaborative networks within the area. A range of publications 2000-2004 was used, published in the ScienceDirect database, and was restricted by the open access policy. The data used in the study are analysed through VOSviewer to assess networks in co-authorship, co-citation and keyword co-occurrence. This research work demonstrates that the number of publications grows significantly over the years, that hot research topics are identified, as well as that new research area that emerge, such as mathematical modelling and optimization. Such revelations are predicted to inform future directions of research and other instructional approaches.
Inovasi Peralatan Praktikum Teknologi Kejuruan untuk Meningkatkan Kualitas Lulusan Vokasi di Sumatera Barat Asnil Asnil; Krismadinata krismadinata; Oriza Candra; Fivia Eliza; Dwiprima Elvanny Myori; Hasan Sayuti Mulya; Telvi Armaliany
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 25, No 2 (2025): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.05820

Abstract

Inovasi peralatan praktikum dalam pendidikan vokasi di Sumatera Barat sangat penting untuk meningkatkan kualitas lulusan, khususnya di bidang energi baru terbarukan. Kegiatan pengabdian masyarakat ini fokus pada inovasi peralatan praktikum teknologi kejuruan melalui pengembangan Off-Grid Solar Training Kit yang diterapkan pada rumah tipe 21 yang bertujuan untuk meningkatkan kualitas lulusan dalam bidang energi baru terbarukan, khususnya Pembangkit Listrik Tenaga Surya (PLTS). Metode yang digunakan mencakup sosialisasi, FGD (Focus Group Discussion), pelatihan, dan evaluasi yang bertujuan untuk memastikan bahwa peralatan praktikum yang dikembangkan memenuhi kebutuhan industri. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peserta dalam instalasi dan pemeliharaan sistem tenaga surya. Keberlanjutan program ini bergantung pada kolaborasi antara lembaga pendidikan, industri, dan pemerintah, guna memastikan pembaruan materi pendidikan sesuai dengan perkembangan teknologi, sehingga lulusan diharapkan dapat berkontribusi dalam pengembangan energi terbarukan dan pembangunan berkelanjutan di Indonesia.
RANCANG BANGUN PIKO-HIDRO SEBAGAI SUMBER ENERGI BAGI MASYARAKAT DI DAERAH PEDALAMAN Remon Lapisa; Krismadinata Krismadinata; Prima Yane Putri; Arwizet Karudin; Ambiyar Ambiyar; Junil Adri; Muvi Yandra; Esa Hafizul A; Totoh Andayono
Jurnal Vokasi Mekanika (VoMek) Vol 6 No 2 (2024): Jurnal Vokasi Mekanika
Publisher : Unversitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/vomek.v6i2.635

Abstract

Sektor energi sangat berpengaruh terhadap aktifitas masyarakat seperti kegiatan rumah tangga, sosial budaya, industri, perdangan, dll. Pada tahun 2021, meskipun rasio elektrifikasi Provinsi Sumatera Barat sudah mencapai 98.81%, penyediaan energi listrik tetap menjadi salah satu prioritas pembangunan. Sebenarnya Indonesia memiliki potensi cadangan energi baru terbarukan yang besar seperti radiasi matahari, energi angin, energi air, biomassa, dll. Namun pengembangan teknologi pembangkit energi baru terbarukan belum maksimal karena tingginya biaya investasi dan perawatan. Penelitian ini bertujuan untuk melakukan rancang bangun sebuah pembangkit listrik tenaga piko hidro. Berdasarkan hasil analisis karakteristik aliran dan kondisi lapangan jenis turbin air yang sesuai untuk head dan debit yang rendah adalah turbin aliran silang (cross flow). Pembangkit Listrik Piko Hidro ini diharapkan mampu memenuhi kebutuhan energi bagi beberapa kepala keluarga sehingga dapat meningkatkan produktifitas kerja, tingkat pendapatan dan kesehjateraan warga pada daerah pedalaman.
Predictive maintenance for induction motors: a novel synergy of deep learning and machine learning techniques V. Rajini; Karunya Harikrishnan; Krismadinata Krismadinata
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i3.pp1157-1167

Abstract

Condition monitoring of induction motors is vital for preventing unexpected downtimes and minimizing the maintenance costs in industrial settings. A predictive maintenance model for early detection of faults is proposed. The motor current, flux, vibration, thermal and acoustic emission signatures are commonly used for fault detection as these signals reveal fault specific frequency components. Signal processing techniques like wavelet transform and Hilbert transform are used to identify faults at incipient stages. Machine learning and deep learning models are used nowadays to extract features and classify the faults accurately. The current and flux signals from healthy and faulty motors for inter turn faults were analyzed in this work and features were extracted through various signal processing methods. These features were then used to train models, including deep learning architectures, to classify motor faults. While the classical machine learning models provided a reasonably accurate fault classification, the convolutional neural network provided a very good classification accuracy. The findings show that deep learning models excel in detecting faults, especially under noisy and varying operational conditions, outperforming the traditional methods. These models offer a scalable, real-time solution for improving the reliability and efficiency of induction motor and facilitate more reliable assessments and contribute towards energy efficiency and extended lifetime of equipment.
Co-Authors Abdullah, MT, Dr. Rijal Ahyanuardi Ahyanuardi Akbar, Junaidi Ambiyar, Ambiyar Andesta Putri, Welly Andre Kurniawan Anggrila, Bunga Anhar, Nur Fajri Anwar Anwar Aprialdi Armaliany, Telvi Arwizet Arwizet, Arwizet Asnil Asnil Asnil Asnil Asnil Asnil Bustarino, Dandi Candra, Oriza David Nugraha Deby Cinthia Dhea fatma dilla Dochi Ramadhani Dori Yuvenda Dwiprima Elvanny Myori Dwiprima Elvanny Myori, Dwiprima Elvanny Erita Astrid Esa Hafizul A Fadhli Ranuharja Fahmi Rijal Fahmi Rizal Fitrah Hidayat Fitri, Dahlia Hidul Fivia Eliza Ganefri Ganefri . Gunawan, Andriyan Gusni Sushanti Hambali Hambali Hamdani Hamdani Harleni, Harleni Hasan Sayuti Mulya Hazman, Hanif Ilham Juliwardi Irma Husnaini Irwan Irwan Jlinus, Nizwardi Junil Adri Karunya Harikrishnan Kasman Rukun Kusuma, Puja Lativa Mursyida Lita Sari Muchlis Lubis, Arina Luthfini Mahesu Agni Zaus Maputra, Hedra Mhd Safei Minangsih, Maya Muhammad Djoni Bustan Muhammad Irsyad Muhammad Nasir Muhammad Nur, Khaliq Muhammad Triyo Rahmanto Mulianti Mulya, Hasan Sayuti Nizwardi Jalinus Nurhasan Syah Padrigalan, Kathleen Ebora Putra, Rusnardi Rahmat Rahmat Hidayat Refdinal Nazir Remon Lapisa Renny Permata Saputri Reza Muhardian Ricky Maulana Ridwan Ridwan Ridwan Riki Fajri Rahmat Rini Widyastuti Rizka Amalia Samira Laila Luthfiani Sari, Widia Sesrima Badri Shinta Sari Sri Haryati Sri Rizki Putri Primandari Sukardi, Sukardi Syafrijon, Syafrijon Syahril Syahril Tarig Elshaarani Telvi Armaliany Totoh Andayono Unung Verawardina Unung Verawardina, Unung Usmeldi Usmeldi V. Rajini Wanda Afnison Wibowo, Eko Avin Winda Lestari Siregar Wulan Juswita Sari Yahfizham Yahfizham Yahfizham Yahfizham yana, Liyana Fatrina Yandra, Muvi Yelfianhar, Ichwan Yezi Arnovia Yuliawati Yunus YUPELMI, MIMI Yus Donald Chaniago