Idat Galih Permana
Department Of Nutrition Science And Feed Technology, Faculty Of Animal Science, Bogor Agricultural University

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Fermentation Characteristics (In Vitro) of Palm Oil Trunk Waste as Feed for Lactating Dairy Cow: Kajian in vitro limbah batang kelapa sawit sebagai pakan ternak sapi perah Shilvia, S; Permana, Idat Galih; Evvyernie, D; R, A
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 21 No. 3 (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.21.3.150-155

Abstract

This study aimed to evaluate the applicability of palm oil trunk waste utilization as a feed source for lactating dairy cows using an in vitro approach. This study used a randomized complete block design with 4 treatments and 3 groups. Treatment consisted of P0 (control diet), P1 (control diet supplemented with 12.5% palm oil trunk), P2 (control diet supplemented with 25% palm oil trunk), P3 (control diet with commercial concentrate). The parameters observed were rumen pH, NH3 concentration, total VFA concentration, and in vitro dry matter and organic matter digestibility (IVDMD and IVOMD) coefficients. The findings of this study showed a significant 41.73% in NH3 concentration, 24.96% in total VFA concentration, 10.47% in IVDMD, and 10.91% in IVOMD, upon introducing 25% palm oil trunk waste into the ration (p<0.05), except for rumen pH. It can be concluded that palm oil trunk waste can be used at a level of up to 25% in the diet of lactating dairy cows. Keywords: digestibility, fermentation, in vitro, palm oil trunk, unconventional feed
Evaluasi Kualitas Nutrien Dedak Padi di Provinsi Jawa Barat Berdasarkan Perbedaan Musim terhadap Standar Nasional Indonesia: The Nutrient Quality Evaluation of Rice Bran in West Java Province Based on Seasonal Differences Against Indonesian National Standards Wibowo, I B; Permana, Idat Galih; Nahrowi
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 22 No. 1 (2024): 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.22.1.1-8

Abstract

This research aimed to analyze differences in the nutrient quality of rice bran during the rainy and dry seasons at all user levels in West Java Province for the 2016-2020 period compared to SNI 3178 in 2013. This research used secondary data from 306 samples from two laboratories, Feed Quality and Certification (BPMSP) Bekasi and Feed/Feed Ingredient Quality and Safety Testing Center (BPMKP/BP) Cikole Lembang, West Java. this study, used frequency distribution to provide a simple description of data collection, in contrast, rice bran users used percentages of test data suitable for rice bran according to SNI 3178 of 2013. The results showed that the conformity of rice bran nutrients to SNI in the dry season was better compared to the rainy season. The best percentage of SNI conformity at the rice bran user level was large users, suppliers, small users, and other users respectively. Key words: quality of rice bran, rice bran, SNI rice bran
Seasonal Adaptation in Feed Management: Assessing Forage and Feedstuff Variations in Small-Sized Dairy Farms in Boyolali, Central Java Kumalasari, Nur Rochmah; Suharti, Sri; Zahra, Windi Al; Rosmalia, Annisa; Permana, Idat Galih; Sunardi, Sunardi
Jurnal Sain Peternakan Indonesia Vol 20 No 2 (2025)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.20.2.111-116

Abstract

Small dairy farms in tropical regions frequently encounter feed shortages and quality fluctuations between seasons, which can substantially affect milk production. This research aimed to evaluate the ability of small-scale dairy farms to adapt to and manage feed fluctuations in response to seasonal changes.  The research employed an exploratory design, with samples collected using nested sampling methods. Three samples were collected according to the season, specifically during the dry season (August 2024) and the rainy season (January 2025), from the Cepogo and Selo Subdistricts in Boyolali.  Feed samples collection was conducted in five stages: 1) desk study of the research area; 2) field visiting; 3) feed samples; 4) forage samples collection; and 5) feed analysis using proximate analysis (AOAC, 2005).  The results showed differences in feeding management among farmers related to their dairy animal structures.  The highest dry matter content in the forage was found in rice straw (60.4% DM), which dominated dry season use, while the highest crude protein content was observed in calliandra (23.5%) among the forages. Five coproducts have high dry matter content with varying crude protein and crude fibre levels.  The research concluded that small-sized dairy farms can adapt and manage feed fluctuations based on seasonal changes by making forage and concentrate choices available.
Correlation and determination of the Metabolizable Energy (ME) of tropical forage with nutrient content for ruminants Indah, Andi Sukma; Permana, Idat Galih; Despal, Despal
Aceh Journal of Animal Science Vol 8, No 2 (2023): June 2023
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/ajas.8.2.30543

Abstract

The metabolizable energy (ME) of tropical forages measured by in vivo method in ruminants had a high degree of accuracy but requires a long time and is expensive. One method that can be done is the ME estimation model. The objectives of the present study were carried out to investigate the relationship between tropical forage nutrient content and ME for ruminants as well as determine and validate a model for estimating ME of tropical forage based on nutrient content. A total of 26 forage samples consisting of 14 types of grass and 12 legumes were obtained after data pre-processing or data cleaning and data normalization. Forage samples will be grouped into 3, Grass + Legume (G+L=26), grass (R=14), and legume (L=12). The database used is Crude Protein (CP), Extract Ether (EE), Neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF), and hemicellulose as well as ME with in vivo experiments. The initial stage is preprocessing data. Nutrient content and ME were analyzed using Pearson Correlation and followed by multiple linear regression to determine the ME estimation model. However, validated used the mean absolute deviation (MAD), root means square error (RMSE), and mean absolute percentage error (MAPE). The results showed that there was a significant and highly significantly correlated between nutrient composition and ME in the Grass + Legume, Grass, and Legume groups so it could be used to determine ME. There are 9 regression equations with significance and have high R2and after being validated with the lowest MAD, RMSE, and MAPE values, three regression equations are obtained with one each for each group Grass + Legume (G+L), Grass (R), and Legumes (L). It is concluded that the regression equation of ME of tropical forage is MER+L= 12.429 0.122 ADF for Grass + Legume, EMR= 15.609 0.115 NDF for Grass, and EML= 3.726 0.186 CP for Legume.