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All Journal Jurnal Dedikasi Socia : Jurnal Ilmu-Ilmu Sosial Geo Media: Majalah Ilmiah dan Informasi Kegeografian Majalah Geografi Indonesia Jurnal Transformatika JUITA : Jurnal Informatika Jurnal ULTIMA InfoSys Jurnal Teknik Mesin Indonesia Jurnal Konversi Energi dan Manufaktur Jurnal Teknologi Informasi dan Komunikasi Jurnal Mesin Nusantara PELS (Procedia of Engineering and Life Science)
Edi Widodo
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation

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Pengaruh Wingtip Blade Rotor Naca 0015 Terhadap Daya Pada Vertical Axis Wind Turbine Rachmat, Firdaus; Ali Akbar; Edi Widodo
Jurnal Mesin Nusantara Vol 8 No 1 (2025): Jurnal Mesin Nusantara
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmn.v8i1.24693

Abstract

Pengembangan energi sekarang ini sangat pesat karena kebutuhan energi  terutama listrik semakin meningkat. Hal ini tidak bisa menggandalkan suatau energi yang berbahan fosil karena keterbatasan emisi lingkungan. Berbagai macam pembangkit listrik diantaranya adalah energi angin yang merupakan energi terbarukan diantaranya model VAWT. Penelitihan ini dilakukan secara experimen mengunakan model VAWT dengan melakukan variasi wingtip untuk mengetahui pengaruh unjuk kerja. Prototipe dari VAWT ini mengunakan variasi 2 blade dan 4 blade dengan ukuran tinggi blade 1,5 meter dengan radius 0,75 meter. Variasi ukuran wingtip juga dilakukan dengan 3 variabel. Berdasarkan hasil uji penambahan blade pada VAWT yang mengunakan variasi 2 blade dan 4 blade dengan ukuran tinggi blade 1.5 m dengan radius 0,75 M. Hasilnya menunjukkan bahwa VAWT dengan 4 blade memberikan tegangan, daya, dan kuat arus yang lebih baik daripada 2 blade. Sedangkan pada variasi penambahan wingtip, bahwa tegangan, daya, dan kuat arus semakin meningkat seiring peningkatan luas wingtip.
RANCANGAN PROTOTIPE MESIN PENGERING GABAH BERBASIS TEKNOLOGI HYBRID: Prototype Design of Grain Dryer Machine Based on Hybrid Technology Prasetyo, Andre Ryan; Sulis Yulianto; Edi Widodo
Jurnal Konversi Energi dan Manufaktur Vol. 9 No. 1 (2024)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.9.1.4

Abstract

Until now, the process of processing paddy into rice still relies heavily on the traditional and commonly used methods. During the drying stage, the harvested rice grains are spread out and sun dried. To address this issue, an effective solution is needed to enhance the quality of of rice seeds. Therefore, a post harvest rice handling technology is being developed with a hybrid technology based grain drying tool, where solar energy is still harnessed through photovoltaic solar panels (PLTS). The purpose of this research is to design, develop, and test a prototype grain drying machine abased on hybrid PLTS technology. The research focuses on calculating the power drying, and evaluating the PLTS system. The methods used include testing grain drying with variations in temperatures of 45ºC, 50ºC, dan 51ºC , as well as a grain weight of 8 kg. the greatest energy consumption during drying is directed towards the PLTS battery system, and calculations are performed to determine the duration of battery usage. The research findings reveal drying efficiencies of 9.7%, 12.8%, and 13.12% and final mouisture contents of 16.3%, 14.6% and 14.1 % at temperatures of 45ºC, 50ºC, and 51ºC respectively. The optimal drying times are 2 hours at 45ºC and 50ºC, and 1.5 hours at 51ºC. the battery usage time with a power of 209 W is 2.3 hours.
Artificial Intelligence-Based Automatic Text Detection System Using Multi-Layer Pattern Recognition Kartika Imam Santoso; Santoso, Kartika; Edi Widodo; Theresia Widji Astuti
Jurnal Transformatika Vol. 23 No. 2 (2026): January 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i2.13256

Abstract

The rapid advancement of generative AI models such as ChatGPT, Claude, and Gemini raises serious concerns about the authenticity of academic and professional documents. This study develops a detection system that uses a combination of linguistic, structural, and statistical pattern analysis to identify AI-generated text and classify the responsible AI model. The system analyzes more than 12 different parameters from uploaded documents (PDF, DOCX, TXT formats). The detection engine operates through seven analytical layers: signature detection, linguistic analysis, word pattern analysis, structural analysis, feature pattern analysis, vocabulary and grammar assessment, and AI fingerprinting. The scoring mechanism provides a general AI probability score (0-100%) and individual probability scores for 10 different AI models. In testing with 100 documents, the system achieved 76.8% accuracy in identifying AI-generated text and 87.3% accuracy in classifying the source AI model. Sentence entropy analysis, paragraph uniformity assessment, and distinctive linguistic markers proved most effective. This study demonstrates that multi-layer pattern recognition is a viable approach for detecting and classifying AI-generated text, with implications for academic integrity, content verification, and digital forensics.
Co-Authors Ali Akbar Angga Kharisma Putra April Firman Daru Arif Ashari Astuti, Theresia Widji Hastuti * Hastuti Hastuti Henny Indriyawati Indah Sulistiyowati Iswanto Iswanto Kartika Imam Santoso Khoirudin Khoirudin Mohammad Burhan Hanif Prasetyo, Andre Ryan Rachmat, Firdaus Santoso, Kartika Siti Asmiatun, Siti sulis yulianto Vensy Vydia wistyo nugroho, wistyo nugroho