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All Journal International Journal of Electrical and Computer Engineering MEDIA PETERNAKAN - Journal of Animal Science and Technology Sodality: Jurnal Sosiologi Pedesaan Buletin Peternakan Pastura; Journal Of Tropical Forage Science Jurnal Veteriner Jurnal Agripet JURNAL PETERNAKAN Jurnal Ilmu Ternak dan Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Journal of the Indonesian Tropical Animal Agriculture Jurnal Peternakan Indonesia Jurnal Ternak Tropika Jurnal Ilmu dan Teknologi Peternakan Tropis Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan BERITA BIOLOGI Animal Production : Indonesian Journal of Animal Production Tropical Animal Science Journal Jurnal Ilmu Nutrisi dan Teknologi Pakan Jambura Journal of Animal Science Jurnal Ilmu Peternakan Terapan Food ScienTech Journal Al-Syakhsiyyah : Journal of Law and Family Studies Computer Science and Information Technologies Madaniya Wahana Peternakan JOURNAL of LEGAL RESEARCH Livestock and Animal Research Jurnal Ilmiah Ilmu-Ilmu Peternakan

Nahrowi Nahrowi

Departemen Ilmu Nutrisi Dan Pakan Fakultas Peternakan Institut Pertanian Bogor

Author-ID : 327647

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Veterinary Other

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The effect of segmentation on the performance of machine learning methods on the morphological classification of Friesien Holstein dairy cows Amril Mutoi Siregar; Yohanes Aris Purwanto; Sony Hartono Wijaya; Nahrowi Nahrowi
Computer Science and Information Technologies Vol 4, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v4i1.p59-68

Many classification algorithms are in the form of image pattern recognition; the approach to the complexity of the problem should be a feature of feasibility for representing images. The morphology of dairy cows greatly affects their health and milk production. The paper will apply several classification methods based on the morphology of Holstein Friesian dairy cows. To improve the accuracy of the model used, the segmentation process is the right step. In this paper, we compare several machine learning algorithms to get optimal accuracy. The algorithm used a support vector machine (SVM), artificial neural networks, random forests and logistic regression. Segmentation methods used are mask region-based convolutional neural network (R-CNN) and Canny; optimal accuracy is expected to create intelligent applications. The success of the method is measured with accuracy, precision, recall, and F1 Score, as well as testing by conducting a training-testing ratio of 90:10 and 80:20. This study discovered an artificial neural network optimal model with Canny with an accuracy of 82.50%, precision of 87.00%, recall of 79.00%, F1-score of 81.62%, and testing ratio of 90:10. While the models with the highest 80:20 ratio achieved 84.39% accuracy, 88.46% precision, 80.47%, and 83.00% F1-score with mask R-CNN with logistic regression.

Evaluasi Sifat Fisik Pemalsuan Dedak Padi dengan Penambahan Tongkol Jagung Ridla Muhammad; Rima Martin; Nahrowi Nahrowi; Nahdhiyah Alhasanah; Markistiandi Fadhilah
Jurnal Ilmu Peternakan Terapan Vol 6 No 1 (2022): Jurnal Ilmu Peternakan Terapan
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jipt.v6i1.3203

The objective of this study was to evaluate physical properties of rice bran forgery with corn cob addition. Corn cob mixed with rice bran by different levels 0%, 5%, 10%, 15%, and 20%. The experimental design was completely random design (CRD) with 5 treatments and 3 replications. The data were analyzed by ANOVA and followed by orthogonal contrast test if there were significant differences between the treatments. The results showed the addition of corn cob (0%, 5%, 10%, 15% and 20%) significantly (P<0.01) decreased the specific gravity (kg L-1) by 1.36, 1.32, 1.26, 1.20 and 1.16 (r = 93%), bulk density (g L-1) by 286.53, 283.02, 275.74, 268.35 and 263.86 (r = 98%), compact bulk density (g L-1) by 475.44, 463.69, 453.18, 443.14 and 433.53 (r = 99%) and angle of repose (˚) by 44.40, 43.91, 43.27, 43.15 and 42.70 (r = 93%) while the particle size (mm) increased by 1.22, 1.23, 1.23, 1.24 and 1.25 (r = 95.8%). Detection of rice bran forgery can be evaluated through physical test correlation and the highest correlation is found in the compact bulk density parameter.

Two-stages of segmentation to improve accuracy of deep learning models based on dairy cow morphology Amril Mutoi Siregar; Yohanes Aris Purwanto; Sony Hartono Wijaya; Nahrowi Nahrowi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i2.pp2093-2100

Computer vision deals with image-based problems, such as deep learning, classification, and object detection. This study classifies the quality of dairy parents into three, namely high, medium, and low based on morphology by focusing on Bogor Indonesia farms. The morphological images used are the side and back of dairy cows and the challenge is to determine the optimal accuracy of the model for it to be implemented into an automated system. The 2-step mask region-based convolutional neural network (mask R-CNN) and Canny segmentation algorithm were continuously used to classify the convolutional neural network (CNN) in order to obtain optimal accuracy. When testing the model using training and testing ratios of 90:10 and 80:20, it was evaluated in terms of accuracy, precision, recall, and F1-score. The results showed that the highest model produced an accuracy of 85.44%, 87.12% precision, 83.79% recall, and 84.94% F1-score. Therefore, it was concluded that the test result with 2-stages of segmentation was the best.

Implementasi Model Bisnis Pembesaran Maggot dalam Peningkatan Ekonomi dan Peduli Lingkungan Masyarakat Desa Laladon Nahrowi Nahrowi; Muhammad Ridla; Rima Shidqiyya Hidayati Martin; Maya Shofiah; Tazkiyah Annisa Utari; Rahayu Asmadini Rosa; Isnaini Dafri; Mochammad Dzaky Alifian
Madaniya Vol. 4 No. 1 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.352

Isu ekonomi dan lingkungan masih menjadi permasalahan utama masyarakat di era 4.0, hal ini terjadi karena solusi dari persoalan tersebut belum terkelola secara efektif. Jika dilihat dari sudut pandang berbeda, terdapat korelasi positif antara pengelolaan limbah lingkungan dan peningkatan ekonomi. Salah satu upaya peningkatan ekonomi melalui biokonversi limbah organik dengan memanfaatkan maggot Black Soldier Fly yang juga memiliki nilai jual sebagai bahan pakan lokal. Upaya tersebut diimplementasikan melalui model bisnis pembesaran maggot dalam pengabdian masyarakat Desa Laladon. Desa Laladon memiliki potensi sebagai sumber limbah organik dan pusat produksi maggot Black Soldier Fly. Model bisnis yang berfokus pada pembesaran maggot mudah dilakukan, memerlukan fasilitas sederhana, dan bersifat zero waste, yang mana efektif dilakukan berbasis masyarakat. Pengabdian ini di mulai dengan pelatihan (pre-test dan post-test), study banding, serah terima fasilitas, praktik pembesaran maggot dan pendampingan. Penerapan model bisnis pembesaran tersebut berdampak positif, dalam satu siklus panen maggot dapat menghasilkan 113 kg maggot segar dari tiga kelompok peternak binaan. Hasil penjualan maggot segar menambah pendapatan ekonomi masyarakat juga nilai kepedulian lingkungan di Desa Laladon. Model bisnis pembesaran maggot menginisiasi peningkatan ekonomi mandiri masyarakat Desa dan pelestarian lingkungan yang efisien dengan dukungan dan kerjasama antara masyarakat, pemerintah, industri serta institusi pendidikan.

Performance, Methane Emission, Nutrient Utilization, and the Nitrate Toxicity of Ruminants with Dietary Nitrate Addition: A Meta-analysis from In Vivo Trials M. Abdelbagi; R. Ridwan; A. Fitri; Nahrowi; A. Jayanegara
Tropical Animal Science Journal Vol. 46 No. 1 (2023): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2023.46.1.74

This study aims to evaluate the effects of dietary nitrate addition on performance, methane emission, nutrient utilization, and the nitrate toxicity of ruminants by using the meta-analysis methodology from in vivo trials. A total of 38 published papers and 139 studies were used. Parameters observed were feed intake, animal performance, enteric methane emission, and nitrate toxicity. Data were subjected to the mixed model methodology. Nitrate doses or forms were treated as fixed factors, while the different studies were treated as random factors. Results revealed that nitrate supplementation significantly decreased the milk protein content, milk fat content, dry matter intake, gross energy intake, the molar proportion of the propionic acid, methane production, and the metabolism of vitamin A in a linear pattern (p<0.05). Moreover, nitrate addition significantly increased nitrate intake, the molar proportion of the acetic acid, the ratio of acetic acid to propionic acid, hydrogen molecule production, microbial protein synthesis, and nitrite blood levels (p<0.05). However, treatments did not affect the milk yield, final body weight, nitrate retention, and blood methemoglobin. There was a significant interaction among the animal types and the nitrate (forms and doses) on the milk protein content, dry matter intake, rumen pH value, total volatile fatty acids, the molar proportion of propionic acid, NH3 concentration, H2 molecule, microbial protein synthesis, metabolism of vitamin A, and the blood methemoglobin. This concludes that nitrate supplementation is an alternative feed additive for mitigating the enteric methane in ruminants without any adverse effects on animals’ health or performance despite its impact on the feed consumption rate.

Karakteristik Endapan Cairan Rumen Sapi asal Rumah Potong Hewan sebagai Feed Supplement Agus Budiansyah; Resmi Resmi; Nahrowi Nahrowi; Komang G Wiryawan; Maggy T Suhartono; Yantyati Widyastuti
Jurnal Ilmiah Ilmu-Ilmu Peternakan Vol. 14 No. 1 (2011): Mei 2011
Publisher : Fakultas Peternakan Universitas Jambi

The aims of this experiment were to identify and characterize of sediment product from cattle rumen liquor as a source of amino acids, minerals and vitamins. The sediment were obtained as pellets upon centrifugation of rumen liquor at 10,000 g for 10 minutes for collection of supernatant. The sediment were evaluated for amino acids, minerals and vitamins composition and chararacterized for the pH, solubility of dry matter, specific density, bulk and compacted bulk densities and angle of response. Result of the experiment showed that sediment contained higher minerals: Na, K and Fe compared with the commercial premix, but lower in B-vitamins and amino acids. The composition of mineral Na, K, and Fe from rumen liquor of local cattle was 13.47%, 7.73 % and 14.52 %, while Na, K, and Fe from rumen liquor of imported cattle was 18.40%, 10.25%, and 14.52% respectively. The sediment had pH range from 10.01-10.03, the dry matter solubility was 35.5% up to 39.1%. The sediment from imported cattle had higher specific density, bulk and compacted bulk densities and angle of response than that of local cattle. It is concluded that sediment from cattle rumen liquor contained high Na, K and Fe, low amino acids and B-vitamin, high pH and low solubility.

Evaluasi Fisik dan Kimia Dedak Padi pada Berbagai Level Penambahan Sekam: Physical and Chemical Evaluation of Rice Bran with Various Level of Husk Addition Eneh Maesaroh; Rima Shidqiyya Hidayati Martin; Anuraga Jayanegara; Tri Aminingsih; Nahrowi Nahrowi
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 21 No. 1 (2023): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jintp.21.1.41-48

The aim of this research was to analyze the physical and chemical properties of rice bran with husk addition. The percentage of husk addition was 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100%. Husks were grounded and mixed with rice bran homogeneously. The mixture was analyzed for physical properties, proximate analysis and van Soest analysis. The variables in this study included visualization of husk addition in rice bran, specific gravity (SG), bulk density (BD), moisture content (MC), ash, crude protein (CP), ether extract (EE), crude fiber (CF), acid detergent fiber (ADF), cellulose and lignin. Data were presented descriptively and the correlation between each variable was conducted. The results showed that there were differences in visualization in each level of husk addition in rice bran. The addition of husks in rice bran increased the ash (Δ = 11.89), CF (Δ = 22.75), ADF (Δ = 47.23), cellulose (Δ = 24.04) and lignin (Δ = 7, 40). The decrease in SG, BD, MC, CP and EE in mixing rice bran and husk were Δ = 0.62; 62.85; 3.64; 5.73 and 9.21 respectively. The correlation between the physical properties and the chemical properties showed significant correlation (p<0.01). The addition of husks to rice bran affected the physical and chemical qualities. Key words: chemical evaluation, husk, physical evaluation, rice bran

Pengaruh Amilase Pada Tepung Singkong Terhadap Rasio Konversi Energi dan Protein Pada Ayam Broiler Poppy Satya Puspita; Nahrowi Nahrowi; Widya Hermana; Muhammad Pramujo
TERNAK TROPIKA Journal of Tropical Animal Production Vol 24, No 1 (2023): TERNAK TROPIKA Journal of Tropical Animal Production
Publisher : Jurusan Produksi Ternak, Fakultas Peternakan, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jtapro.2023.024.01.3

Penelitian ini bertujuan untuk mengevaluasi pengaruh penggunaan amilase pada tepung singkong terhadap rasio konversi energi dan protein pada ayam broiler. Materi yang digunakan adalah 270 ekor sexed Day Old Chick broiler Lohmann. Metode penelitian adalah percobaan menggunakan Rancangan Acak Lengkap. Perlakuan penelitian adalah P0: Pakan basal + 0% Tepung Singkong (kontrol), P1: Pakan basal + 50% Tepung Singkong, dan P2: Pakan basal + 50% Tepung Singkong + 0.05% Amilase (bb-1). Variabel penelitian meliputi konsumsi energi (Kkal), konsumsi protein (g). rasio konversi energi, dan rasio konversi protein. Data dianalisis menggunakan analisis sidik ragam dan jika terdapat perbedaan antar perlakuan dilakukan uji Duncan. Hasil penelitian menunjukkan bahwa perlakuan memberikan peningkatan sangat signifikan (P <0,01) terhadap konsumsi energi, rasio konversi energi, konsumsi protein, dan rasio konversi protein. Kesimpulan penelitian ini adalah ransum yang menggunakan 50% tepung singkong dengan dan atau tanpa suplementasi amilase untuk menggantikan jagung dalam ransum meningkatkan nilai rasio konversi energi dan rasio protein pada ayam broiler.

Application of the Analysis Model for Estimating the Nutrient Content of Feed Ingredient: A Case Study of Rice Bran Muhammad Ridla; Almira Firna Fitrianti Ludfi; Alya Nur Zahra; Mutiara Rizky Raisa; Nahrowi Nahrowi; Anuraga Jayanegara; Erica B. Laconi
Jurnal Peternakan Vol 20, No 2 (2023): September 2023
Publisher : State Islamic University of Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jupet.v20i2.22692

In rural areas, farmers face a significant challenge due to the lack of access to chemical analysis for feed ingredients. Therefore, there is a need for a new approximate analysis model that is lightweight and easy to apply. This study aimed to address this issue by utilizing bulk and tapped density analysis to estimate the composition of rice bran samples collected from 30 rural rice mill factories across 3 districts in Indonesia. The study used a correlation formula between bulk density values and tapped density values to estimate the crude protein and crude fiber contents of the samples. The study's results revealed significant variations (p<0.05) in the quality of rice bran due to various factors. Crude protein content significantly differed (p<0.05) across districts, with Bogor and Bandung having the highest values and Cirebon the lowest. Tapped density measurements generally yielded higher crude protein content values. Similarly, there were variations (p<0.05) in crude fiber content across districts and locations, with Cirebon having the highest values and Bogor the lowest. Tapped density measurements generally resulted in higher crude fiber content values, but there were significant variations observed in different districts and locations. The rice bran from the Bogor region showed indications of being of higher quality, with higher crude protein and lower crude fiber content compared to the other two regions.

Chemical and Biological Characteristics of Whole Crop Corn Silage with Rice Bran and White Cabbage Additives during Ensilage Muhammad Ridla; Rima Shidqiyya Hidayati Martin; Anuraga Jayanegara; Nurmaya Rahmawati Muis; Nahrowi Nahrowi
Jurnal Ilmu dan Teknologi Peternakan Tropis Vol 9, No 3 (2022): JITRO, September 2022
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jitro.v9i3.24883

ABSTRACT The objective of this work was to evaluate whole crop corn silage quality throughout the ensilage periods with rice bran and white cabbage as additives. Whole crop corn from 60 days aged was chopped ±2-5 cm, and added rice bran, white cabbage and without additive (control) then put on plastic bag under anaerobic condition for 1, 2, 3, and 4 weeks. Silages were analyzed in physical characteristics (flavor, color, texture); chemical characteristics (dry matter/DM, DM recovery, organic matter/OM, pH value, fleigh value, water-soluble carbohydrate/WSC), and biological characteristics (type and number of lactic acid bacteria (LAB)) weekly. The results showed that additives affected (p

Co-Authors . Adawiah A Budiansyah A. Atabany, A. A. Fitri A. Irawan A. Sofyan A. Sofyan A. T. Wahyudi A. Yulifah A.D Hasjmy Adawiah . Afton Atabany Agus Musta Rindi Agus Setiyono Ahmad Yani Ainun Nafisah Allaily Allaily Allaily Allaily Allaily Allaily Almira Firna Fitrianti Ludfi Alya Nur Zahra Alysa alysa Anuraga Jayanegara Anuraga Jayanegara Aspriati, Dyah Wahyuning Azhar Amir B. P. Purwanto Bagus Priyo Purwanto C. Hidayat C. Nugraheni D. A. Astuti D. A. Astuti D. Setiawan D.A. Astuti DA Astuti Dinda Ayu Permata Sari Dwi Margi Suci E. B. Laconi E. B. Laconi E. B. Laconi, E. B. E. I. K. Putri Elfawati Enang Harris Eneh Maesaroh Erica B. Laconi Estiana, Ria Feri Kusnandar Fitri Kurnia Nikmah, Fitri Kurnia Francois Gustav Naryadi Hasudungan Agustinus Sidablok Hermana, Widya I wayan Teguh Wibawan ING MOKOGINTA Intan Nursiam Isnaini Dafri Isnaini Dafri J. Nomura Jidan Ramadani K. G. Wiryawan Komang G Wiryawan L. Abdullah L. Abdullah L. Abdullah Lendrawati Lendrawati M. Abdelbagi M. Aman Yaman M. M. Sholikin Macfud - Maggy T Suhartono Mardiah Rahmadani Markistiandi Fadhilah Maya Shofiah Mira Andriani Mochammad Dzaky Alifian Muhammad Hafidz Hasbullah Muhammad Pramujo Muhammad Ridla Mutiara Rizky Raisa N. Laylli Nadia Safira Nahdhiyah Alhasanah Niken Ulupi Novandri, B. Nur Santy Asminaya Nurmala Katrina Pandjaitan Nurmaya Rahmawati Muis Nursiam, Intan Poppy Satya Puspita R A Nurfitriani R Estiana R P Harahap R Priyanto R Ridwan R. K. Rusli R. P. Harahap R. P. Harahap R. Ridwan R. Ridwan R. Solfaine Rahayu Asmadini Rosa Rakhmad Perkasa Harahap Resmi Resmi Retno Budi Lestari Ridwan, W. A. Rima Martin Rima Shidqiyya Hidayati Martin Rismawati . Rita Mutia S Mawaddah S Said S. P. Dewi S. Suharti S. Sunarto Sadarman Sadarman Sadarman Salundik Salundik Siregar, Amril Mutoi Sony Hartono Wijaya Sri Suharti Suharlina Suharlina Sumiati . Sumiati . Syahruddin Syahruddin T Sutardi T Toharmat T. Obitsu Tazkiyah Annisa Utari Theo Mahiseta Syahniar TOHA SUTARDI Toto Toharmat Tri Aminingsih U H Tanuwiria Veybe G. Kereh W Hermana W Manalu W. Darsono Wasmen Manalu Yantina, N. Yantyati Widyastuti Yatno Yusmadi Yusmadi

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