Article Per Year (5 Year)
p-Index From 2021 - 2026
2.698
P-Index
This Author published in this journals
All Journal Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Pelita Perkebunan Journal of Innovation and Applied Technology Jurnal Sumberdaya Alam dan Lingkungan Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknologi Pertanian Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) TEKNOLOGI PANGAN : Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)
Mochamad Bagus Hermanto
Departemen Keteknikan Pertanian, Fakultas Teknologi Pertanian, Universitas Brawijaya, Jl. Veteran, Malang 65145
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
Identifikasi Perubahan Warna pada Pengeringan Vakum Jamur Kancing (Agaricus bisporus) Helmi, Raditya; Hawa, La Choviya; Hermanto, Mochamad Bagus; Habibah, Hanna Fauziah
Journal of Tropical Agricultural Engineering and Biosystems - Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 11 No. 2 (2023): August 2023
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2023.011.02.08

Abstract

Jamur kancing merupakan komoditas hasil pertanian yang mudah rusak sehingga harus segera ditangani setelah panen. Salah satu cara untuk mengawetkan jamur kancing adalah melalui proses pengeringan vakum. Pengeringan vakum bekerja dengan menguapkan air pada tekanan rendah sehingga titik uap air tercapai pada suhu rendah dengan waktu yang lebih singkat. Kombinasi blanching dan dehidrasi osmotik diharapkan dapat mencegah proses pencoklatan pada jamur kancing. Tujuan penelitian ini adalah menganalisa perubahan warna jamur kancing selama proses pengeringan vakum dengan pra-perlakuan blanching dan dehidrasi osmosis dengan penambahan asam askorbat serta menentukan pemodelan perubahan warnanya. Dalam penelitian ini, dilakukan konversi atribut warna pada image perubahan warna jamur kancing selama pengeringan vakum pada suhu 35, 45 dan 55 °C dengan kombinasi pra-perlakuan blanching dan dehidrasi osmosis. Delapan model matematika empiris perubahan warna digunakan untuk menentukan model terbaik. Hasil penelitian menunjukkan bahwa pengeringan pada suhu 35 °C mampu menghambat pencoklatan jamur kancing yang tampak dari nilai atribut warna L*, a*, b* dan ( . Model NIST Hahn 1 dan Power merupakan model terbaik yang mampu menjelaskan perilaku perubahan warna pada pengeringan vakum jamur kancing berdasarkan uji ketepatan R², RMSE, dan nilai X².
Color-based Classification of Dried Cocoa Beans from Various Origins of Indonesia by Image Analysis Using AlexNet and ResNet Architecture-Convolutional Neural Networks Kristianingsih, Wahyu; Dwi Argo, Bambang; Jati, Misnawi; Ariefandie Febrianto, Noor; Hendrawan, Yusuf; Bagus Hermanto, Mochamad; Rahmatullah, Bagus
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.638

Abstract

Cocoa plant is widely cultivated in Indonesia and spread across various regions. Diversity in geographical conditions has been known to significantly affect the quality of cocoa beans. Practically, cocoa beans are often mixed without considering the variation in the quality and its origin. This resulted in reduced global quality and product inconsistency. Improved recognition and classification methods are needed to solve those problems. Non-destructive classification methods can be used to provide a more efficient classification process. The use of artificial intelligence with computer-based deep learning methods was used in this study. Beans samples of various origins (Aceh, Bali, Banten, Yogyakarta, East Kalimantan, West Sulawesi, and West Sumatera) were evaluated. From thecollected samples, 9100 images were then taken for data processing. Data preprocessing included denoising of the background image, cropping, resizing andchanging the storage extension through the training-validation stage and the testing process. AlexNet and ResNet architectures on a Convolutional NeuralNetwork were used for classification. The results showed that the average accuracy of cocoa image classification based on color identification by computer machines using Alexnet and ResNet was high (99.91% and 99.99%, respectively). This method can be applied to provide more efficient color-based cocoa bean classification for industrial purposes.
Analysis of Demudification Drying of Peanut Seeds (Arachis hypogaea L.) and Identification of Seed Quality Pipit Elok Nikmatus Sholikah; Bambang Susilo; Sandra Malin Sutan; Retno Damayanti; Mochamad Bagus Hermanto
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.662-670

Abstract

One strategy to increase peanut production is to use good-quality seeds. The content of the seed determines the quality of the seed. Drying with low relative humidity can lower the drying temperature so that drying is done quickly and seed quality is maintained. This research was conducted to analyze the process and differences in peanut seed drying using dehumidifier drying and oven drying methods. Drying was carried out using a dehumidifier and oven drying machine at 30 °C, 40 °C, and 50 °C until the moisture content reached 9%, with observations every 30 minutes. Then the dried seeds were analyzed for their physical and physiological qualities. The results showed that the time needed for dehumidifier drying was faster than oven drying, with the details of dehumidifier machine drying at 30 °C, 40 °C, and 50 °C being 18.5 hours, 15 hours, and 10.5 hours. While drying in the oven at the same temperature, it takes 21 h, 17 h, and 12 h. From the results of the analysis of the physical quality of the seeds, the germination test, and the vigor test, it can be seen that dehumidifier drying gave the highest seed percentage results of 98%, 98%, and 88%. Keywords: Dehumidifier, Drying, Peanuts, Seed Quality, Water content.
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 | DOI: 10.21776/ub.jiat.2024.010.002.06

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.
Analysis of Demudification Drying of Peanut Seeds (Arachis hypogaea L.) and Identification of Seed Quality Sholikah, Pipit Elok Nikmatus; Susilo, Bambang; Sutan, Sandra Malin; Damayanti, Retno; Hermanto, Mochamad Bagus
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.662-670

Abstract

One strategy to increase peanut production is to use good-quality seeds. The content of the seed determines the quality of the seed. Drying with low relative humidity can lower the drying temperature so that drying is done quickly and seed quality is maintained. This research was conducted to analyze the process and differences in peanut seed drying using dehumidifier drying and oven drying methods. Drying was carried out using a dehumidifier and oven drying machine at 30 °C, 40 °C, and 50 °C until the moisture content reached 9%, with observations every 30 minutes. Then the dried seeds were analyzed for their physical and physiological qualities. The results showed that the time needed for dehumidifier drying was faster than oven drying, with the details of dehumidifier machine drying at 30 °C, 40 °C, and 50 °C being 18.5 hours, 15 hours, and 10.5 hours. While drying in the oven at the same temperature, it takes 21 h, 17 h, and 12 h. From the results of the analysis of the physical quality of the seeds, the germination test, and the vigor test, it can be seen that dehumidifier drying gave the highest seed percentage results of 98%, 98%, and 88%. Keywords: Dehumidifier, Drying, Peanuts, Seed Quality, Water content.
The influence of seed separation techniques and drying temperature in a dehumidified drying machine for tomato seed production Hermanto, Mochamad Bagus; Susilo, Bambang; Lutfi, Mustofa; Damayanti, Retno; Yanti, Yanti; Irshafiyah, Irshafiyah
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 1 (2024)
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.2024.007.01.7

Abstract

Tomato (Lycopersicon esculentum Mill.) is a horticultural plant with high economic value, consumed as fresh fruit or a processed product. However, this plant still requires serious handling, especially in tomato seeds. The seeds are coated with quite slimy flesh and need to be separated using a suitable method so that the flesh layer can be cleaned optimally. Tomato seeds have a high water content, causing the seeds to easily damaged and quickly decrease their viability. Therefore, it is necessary to dry the seeds properly to lower the water content while maintaining the seed’s quality. This research aimed to calculate the time needed to reduce the water content of tomato seeds in a dehumidified drying machine, analyze the germination percentage of tomato seeds resulting from dehumidified drying using various separation techniques, and measure the effect of separation techniques. The temperature of dehumidified drying affects the germination and vigor of tomato seeds. The experiment was carried out using a two factorial Completely Randomized Design (CRD) method, namely separation technique (i.e., left for 24 hours, using 2% HCl, and using 10% Na2CO3) and temperature in a dehumidified drying machine (i.e., 30, 40, 50, and 60 °C). The highest germination percentage and vigor index were produced in the treatment with 2% HCl for 2 hours with a drying temperature of 40°C. The separation technique and drying temperature influenced the germination percentage and vigor index, but the interaction between separation techniques had no effect.
Co-Authors Abd. Rohim Achadiah Rachmawati Adamas Akbar Yurisdanto Anang Lastriyanto Angky Wahyu Putranto Anida Apriliani Simamora Aprilia Nur Komariyah Ariefandie Febrianto, Noor Bagas Rohmatulloh Bambang Dwi Argo Bambang Dwi Argo Bambang Susilo Budi lndra Setiawan Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dina Wahyu Indriani Dwi Setiawan Gunomo Djoyowasito Habibah, Hanna Fauziah Hamidah Nayati Utami Hanna Fauziah Habibah Helmi, Raditya Irshafiyah, Irshafiyah Jaya Mahar Maligan Jaya Mahar Maligan Joko Prasetyo Kristianingsih, Wahyu La Chovia Hawa La Choviya Hawa Malin Sutan, Sandra Misnawi Jati Mukhammad Abdul Jabbar Filayati Musthofa Lutfi Mustofa Lutfi nainggolan, Yenni Nur Komar Pipit Elok Nikmatus Sholikah Raditya Helmi Rahmatullah, Bagus Retno Damayanti Riandy Juworo Rohganga Bahwono Rudiyanto Rudiyanto Sandos Simatupang Sandra Malin Sutan Sandra Sandra Sandra Sandra Sholikah, Pipit Elok Nikmatus Siti masithah Fiqtinovri Sumardi H. S. Sumardi HS Titon Elang Perkasa Ulwan Zuhdi Vibi Rafianto Wafa Nida Faida Azra Wahyunanto Agung Nugroho Yanti Yanti Yusuf Hendrawan Yusuf Wibisono