Article Per Year (5 Year)
p-Index From 2021 - 2026
3.407
P-Index
This Author published in this journals
All Journal Teknotan: Jurnal Industri Teknologi Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Pelita Perkebunan Journal of Innovation and Applied Technology Indonesian Green Technology Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Edukasi dan Penelitian Informatika (JEPIN) agriTECH Indonesian Journal of Science and Technology Jurnal Ilmiah Teknologi Pertanian Agrotechno Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Andalas Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Journal of Robotics and Control (JRC) Jurnal Mnemonic Indonesian Journal of Electrical Engineering and Computer Science International Journal of Artificial Intelligence and Robotics (IJAIR) El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Abdi Masyarakat Indonesia
Yusuf Hendrawan
Universitas Brawijaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

Published : 93 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 93 Documents
Search

 6   7   8   9   10 
Optimizing Goat Feed Production: The Role of Chopper Machine Technology Damayanti, Retno; Malin Sutan, Sandra; Hendrawan, Yusuf; Firmanda Al Riza, Dimas; Bagus Hermanto, Mochamad; Setiawan, Dwi
Journal of Innovation and Applied Technology Vol 11, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The application of grass chopper technology in the livestock sector plays an important role in increasing the efficiency of feed provision, particularly for goat farms. This study aims to analyze the effectiveness of the use of grass chopper machines in accelerating the availability of feed and its impact on the productivity of goat farms. The methods used included observation and direct interviews with farmers who applied this technology. The results of the study showed that the grass chopper machine was able to shorten feed preparation time by up to 50% so that farmers could provide sufficient and quality feed in a shorter time. The machine capacity is 200 kg/h, with an average chopped size of approximately 3-4 cm. Consistent chopping can increase feed digestibility, which contributes to increased body weight and livestock health.
Exploring the Impact of Temperature and Solvent Ratio on Phenol and Flavonoid Levels in Alpinia galangal L. Extract Using Evaporative Vacuum Cooling Indriani, Dina Wahyu; Anggraini, Firdha Dwi; Hendrawan, Yusuf; Lastriyanto, Anang
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1064-1076

Abstract

The objective of this research is to determine the impact of temperature gradients and solvent ratios in the evaporative vacuum cooling method on the yield of phenol and flavonoid content in galangal extract; ascertain the impact of these factors on the yield generated by galangal extract; and ascertain the mass balance analysis of materials are the objectives of this study. Throughout the extraction of galangal. The study's findings demonstrated that the evaporative vacuum cooling technique, conducted at 49 ºC and with a 1:1 solvent ratio of 1.4432±0.7317 mg GAE/g, produced the highest total phenol concentration. The three differences in the temperature of the evaporative vacuum produced the total phenol content cooling. The overall phenol content obtained decreases with increasing solvent ratio addition. Although the evaporative vacuum cooling treatment at 45 °C yielded the highest total flavonoid content (1.2418±0.2365 mg QE/g) at a 1:2 solvent ratio, the total flavonoid content varied between the three evaporative vacuum cooling temperature variations. The yield of total phenolic and flavonoid compounds was not significantly affected by temperature gradient adjustments or the ratio of galangal extract to solvent (Sig. > 0.05) in any of the data samples pertaining to phenolic and flavonoid compounds. Keywords: Evaporative vacuum cooling, Flavonoids, Galangal, Phenol.
Enzyme dosage detection to degrade feathers in edible bird’s nests: A comparative convolutional neural networks study Liana, Verianti; Arifiandika, Rizal; Rohmatulloh, Bagas; Nafi’ah, Riris Waladatun; Hidayat, Arif; Hendrawan, Yusuf; Al-Riza, Dimas Firmanda; Mahatmanto, Tunjung; Nugroho, Hermawan
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 4 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.04.6

Abstract

Edible Bird’s Nest (EBN), a costly food product made from swiftlet’s saliva, has encountered a longstanding problem of plucking the swiftlet’s feather from the nests. The destructive and inefficient manual process of plucking the feathers can be substituted with a serine protease enzyme alternative. Accurate detection of enzyme dosage is crucial for ensuring efficient feather degradation with cost-effective enzyme usage. This research employed the transfer learning method using pretrained Convolutional Neural Networks (Pt-CNN) to detect enzyme dosage based on EBN’s images. This study aimed to compare the image classification mechanisms, architectures, and performance of three Pt-CNN: Resnet50, InceptionResnetV2, and EfficientNetV2S. InceptionResnetV2, using parallel convolutions and residual networks, significantly contributes to learning rich informative features. Consequently, the InceptionResnetV2 model achieved the highest accuracy of 96.18%, while Resnet50 and EfficientNetV2S attained only 30.44% and 17.82%, respectively. The differences in architecture complexity, parameter count, dataset characteristics, and image resolution also play a role in the performance disparities among the models. The study’s findings aid future researchers in streamlining model selection when facing limited datasets by understanding the reasons for the model’s performance and contributing to a non-destructive and quick solution for EBN’s cleaning process.  
Co-Authors A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Adamsyah Harika Putra Adi Rahmanto Wibowo adiansyah, muhammad Agil Adham Reka Agus Somantri Ahmad Diyanal Arifin Ahmad Muhlisin Al-Riza, Dimas Firmanda Ali Djamhuri Alifah Maulidiyah Alvianto, Dikianur Anang Lastriyanto Anggraini, Firdha Dwi Anggraini, Sabrina Angky Wahyu Putranto Anisah Cahyani Anninatul Fuadah Anung Nugroho Jayalaksono Apriansyah, Reza Aprilia Nur Komariyah Ariefandie Febrianto, Noor Arif Hidayat Arif Wicaksono R.P Arifiandika, Rizal Aris Fanani Ary Musthofa Ahmad Ary Mustofa Ary Mustofa Ahmad Asy Syukri, Khoirul Anam Aulia Meidiati Aziz Fathur R Bagas Rohmatulloh Bambang Dwi Argo Bambang Dwi Argo BAMBANG SUSILO Bambang Susilo Cahyanto, Darmawan Dwi Chatarina Umbul Wahyuni Choirul Umam Christiana Wahyu Citra Puspita Rani Cory Vidiati Dalas Gumelar Dana Marsetya Utama Deivy Amaliya Tipdani Dendy Satyabima Dewi Maya Maharani Dian Aris Setiawan Dimas F Al Riza Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dina Wahyu Indriani Dina Wahyu Indriani Djoko Wahyudi Dwi Setiawan Elok Zubaidah Elwin Elwin F Al Riza, Dimas Fatma Ridha Nurlaili Fauzy, Muchammad Fenti Siregar Fiqi Ibrahim Saqroth Firdaus Kurnia Putra Firdha Dwi Anggraini Fitriyah, Hurriyatul Gultom, David Parningotan Gunomo Djojowasito Gunomo Djoyowasito Gunomo Djoyowasito hardiansyah, bagus Hartono, Elvianto Dwi Hendrias Hendrias Hendy Firmanto Herdiansyah, Deni Hilmi, Miftahul Hismarto Bahua Imam Santoso Indah Mustika Sakti Indah Royani Izza, Sylvia Ni’matul Joko Prasetyo Khoirul Anam Asy Syukri Kreative Y.R, Rizka Kristianingsih, Wahyu Kusuma Faisal M La Choviya Hawa Liana, Verianti Litapuspita Rizka Perdana Madaniyyah Mustika Islami, Madaniyyah Mustika Maffudhotul Anna Malin Sutan, Sandra Mardhotillah Mardhotillah Meilani Eka Marantika Merisa Yunita Miftahudin Nawawi Miftahul Hilmi Misnawi Jati Mochamad Bagus Hermanto Moh. Risal Siregar Muchammad Fauzy Muchammad Zakaria, Muchammad Muchnuria Rachmawati Muhamad Amar Nadhif muhamad nur afidin Muhammad Arwani Muhammad Fadhil Muhammad Husain Kamaluddin Muhammad Iqbal Musthofa Lutfi Musthofa Lutfi Mustofa, Ary Mutiara Nisa' Amri Nabila Az-Zalikhah Ilham Nafi’ah, Riris Waladatun Niken Dieni Pramesi Niken Lila Widyawati Nugroho, Hermawan Nur Ida Winni Yosika Nurkholis Hamidi Oktaria Eka Y Omah Rochmah Pratama, Kanda Bagus Puguh Sudarsono Putra, Reza Rienaldy Rachmawati, Muchnuria Rahmatullah, Bagus Retno Damayanti Retno Damayanti Soejoedono Reza Rienaldy Putra Riana, Eki Rico Santoso Rini Yulianingsih Rini Yulianingsih Rochima Nisaa’IL-Firdaus Rohmatulloh, Bagas Ronald Nelson Krakuko Ryan Maulana Abdul Hakim Sadimantara, Muhammad Syukri Saiful Imron Sandra Malin Sutan Sandra Sandra Sandra Sandra Sandra Sandra Shinta Rosalia Dewi Shinta Widaningtyas Shinta Widyaningtyas Simping Yuliatun Siti Mariyah Ulfa Siti Nurhayati Somantri, Agus Sucipto, Sucipto Sukses Agustin Nahmudiyah Sumardi H. S. Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Sumardi Hadi Sumarlan Supriyanto Supriyanto Supriyanto, Supriyanto Syahriyah, Yayah Titon Elang Perkasa Tunjung Mahatmanto Ubaidillah Ubaidillah Vita Noeravila Putri Wachid Rahmanjaya Wahyu Dhiki Saputro Wahyunanto Agung Nugroho Widaningtyas, Shinta Widyaningtyas, Shinta Wignyanto Wignyanto Wike A. P. Dania Yosua Yosua Yudha Firdaus Baharsyah Yuliatun, Simping Yuni Oktopiyani Yusron Sugiarto Yusuf Wibisono Yuyun Wahyuni Zahrok, Isna Arofatuz