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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 Mekanika: Majalah Ilmiah Mekanika Jurnal Konversi Energi dan Manufaktur Jurnal Teknologi Informasi dan Komunikasi Jurnal Mesin Nusantara ARMATUR : Artikel Teknik Mesin dan Manufaktur PELS (Procedia of Engineering and Life Science) Dharmakayana: Journal of scientists, engineers, educators and scientific activists related to society development
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 Decision Sciences, Operations Research & Management 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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Studi kekuatan kekerasan dan kekuatan impact pada komposit diperkuat serat sansevieria dengan variasi penambahan amilum 6%-10% Edi Widodo; wistyo nugroho, wistyo nugroho
Jurnal Teknik Mesin Indonesia Vol. 20 No. 1 (2025): Vol. 20 No. 1 (2025): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v20i1.847

Abstract

Natural fiber reinforced polymer composites have become one of the areas of research that attract attention because of their superior and environmentally friendly mechanical properties. This study aims to determine the effect of adding starch 6%, 7%, 8%, 9%, 10% on the characteristics of the mechanical properties of composites reinforced with sansevieria fibers. The manufacture of this composite uses the hand lay up method with a fiber weight fraction volume of 30% and alkali treatment of sansevieria fibers with a concentration of 5% NaOH for two hours. This alkali treatment aims to reduce the content of lignin, hemicellulose, and dirt layers on the fiber surface. Testing the characteristics of mechanical properties in this study is the impact test and Shore D hardness test. In the good impact test results without the addition of starch, because the increasing concentration of starch can reduce the density of molecular bonds in the polymer matrix, so that the bond strength between molecules decreases. While the results of the Shore D hardness test are better adding starch, because starch acts as a filler that reduces local deformation on the composite surface when tested with an indenter on the Shore D hardness tester.
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.
Pemberdayaan Siswa SMA melalui Pelatihan Pemasaran Digital di Era Industri 4.0 di Sidoarjo Edi Widodo; Mulyadi, Mulyadi; Firdaus, Rahmat
Dharmakayana Vol 2 No 2 (2025): November : Dharmakayana: Journal of scientists, engineers, educators and scientif
Publisher : Program Studi Teknik Mesin, Fakultas Teknik Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dk.v2i2.44171

Abstract

Mastery of design technology and digital marketing is a crucial skill in the era of Industry 4.0. These competencies are especially important for the younger generation to support product development and foster entrepreneurial mindsets. This community engagement program aimed to provide training on digital marketing strategies to senior high school and vocational school students in Sidoarjo Regency. Three schools actively participated in the program: SMK Muhammadiyah 3 Ngoro, SMK Trisakti Sidoarjo, and SMK Krian. The activities included the provision of training modules, program socialization, intensive training sessions, and continued mentoring. The training materials focused on content planning, utilization of social media, business account management, and digital promotion strategies tailored to student-created products. The results of the program indicated an increased understanding among participants of both the concepts and practices of digital marketing, as well as the emergence of student-led initiatives to build school-based brands and digital promotional accounts.
ANALISA VARIASI SUHU PADA PROSES DESTILASI BIOETANOL DARI BIJI JAGUNG Bayu, Rangga; A’rasy Fahruddin; Rachmat Firdaus; Edi Widodo
ARMATUR : Artikel Teknik Mesin & Manufaktur Vol. 7 No. 1 (2026): Jurnal Armatur (in Progress)
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/armatur.v7i1.10158

Abstract

The increasing demand for renewable energy has encouraged research into the development of bioethanol from abundant local raw materials, one of which is corn kernels which are rich in starch. This study was conducted to determine the effect of variations in distillation temperature on the volume and purity of bioethanol produced from fermented corn kernels. The research process begins with material preparation, namely sowing corn kernels until they germinate, grinding, then fermenting with yeast (Saccharomyces cerevisiae) for 7 days. The fermentation results were then distilled for 30 minutes using a simple distillation apparatus with three temperature variations, namely 70°C, 80°C, and 90°C. The volume of bioethanol was measured using a measuring cup, while the ethanol content was tested using an alcohol meter. The results showed that at a temperature of 70°C a volume of 130 ml of bioethanol was obtained with a purity of 67%, at a temperature of 80°C a volume of 168 ml was obtained with the highest purity of 83%, while at a temperature of 90°C the volume increased to 191 ml but the purity decreased to 73%. The data demonstrates a trade-off between ethanol volume and purity, where higher heating temperatures increase volume, but purity does not always increase. This study concludes that the optimal distillation temperature is 80°C, as lower energy can produce bioethanol with a combination of a relatively large volume and the highest purity.
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 A’rasy Fahruddin Bayu, Rangga Hastuti * Hastuti Hastuti Henny Indriyawati Indah Sulistiyowati Iswanto Iswanto Kartika Imam Santoso Khoirudin Khoirudin Mohammad Burhan Hanif Mulyadi Mulyadi Prasetyo, Andre Ryan Rachmat Firdaus Rachmat, Firdaus Rahmat Firdaus Santoso, Kartika Siti Asmiatun, Siti sulis yulianto Vensy Vydia wistyo nugroho, wistyo nugroho