Muladno -
Departemen Ilmu Teknologi Dan Produksi Peternakan, Fakultas Peternakan, IPB University, Kampus IPB Darmaga, Bogor 16680

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Analysis of Strategy for Developing Beef Cattle Production on a Smallholder Farming Basis in Musi Banyuasin Regency South Sumatra Aulia Evi Susanti; Rudy Priyanto -; Muladno - -; Dewi Apri Astuti; Lucia Cyrilla Eko Nugrohowati
Buletin Peternakan Vol 46, No 4 (2022): BULETIN PETERNAKAN VOL. 46 (4) NOVEMBER 2022
Publisher : Faculty of Animal Science, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21059/buletinpeternak.v46i4.73137

Abstract

The increased beef cattle production at traditional farms is a strategy to achieve meat self-sufficiency in 2026. This is accomplished through various parties, including the government, academics, researchers, the private sector, and farmers as the main actors. Therefore, this study aimed to determine and analyze criteria, performance criteria, strategies, and alternatives for sustainable beef cattle production in traditional farms based on the opinion of experts. The research location was School for Smallholder Community (SPR) Maju Bersama, Sungai Lilin Sub-District, Musi Banyuasin Regency, South Sumatra Province, Indonesia. Primary data were collected through FGD (focus group discussion) and interview with expert stakeholders, including farmers, policymakers, entrepreneurs, academics, and research analyst. They were analyzed using the Analytical Hierarchy Process (AHP) with R studio version 4.1.2. The result showed that Musi Banyuasin Regency has a natural resource potential for supporting beef cattle production with an institutional collaborative strategy. The interaction between the production factors showed that the feeding criteria were at the highest level, with 32.05%. Considering the performance criteria, business sustainability was essential at 35.70% and should be achieved by adopting a corporate strategy of 85.52%, implemented through alternative business management at 61.40%.
Profil Fisiologis Pascapemberian Katuk Depolarisasi untuk Peningkatan Produktivitas Sapi Pedaging Ronald Tarigan; Afton Atabany; Fadjar Satrija; Muladno Muladno; Nofriyandi Hanif; Agik Suprayogi
Jurnal Ilmu Pertanian Indonesia Vol. 28 No. 2 (2023): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.28.2.265

Abstract

Katuk (Sauropus androgynus), a traditional herb that has been traditionally consumed by breastfeeding mothers to increase their milk production but still has some side effects, such as bronchiolitis obliterans and inhibition of calcium absorbtion. Removing the polar compounds in katuk leaf (depolarized katuk leaf) can eliminate those side effects without eliminating its side effect in increasing milk production and body growth in several production animals. This study was aimed to analyze the physiological status of beef cows consuming diet supplemented with depolarized katuk leaf as feed additive by measuring their hematology and blood mineral profile. Nine Brahman cross cows in the finisher stage, were grouped based on their diet: complete feed (control), complete feed plus depolarized katuk leaf powder (P1; 100 g per day), and complete feed plus depolarized katuk leaf pellet (P2; 100 g per day). Blood sample was collected after six weeks of consumption for analysis of hematological profiles including total erythrocytes, hematocrit, hemoglobin, total leukocytes, stress index (neutrophil-lymphocyte ratio); and blood mineral concentration (calcium and phosphorous). Dietary administration of depolarized katuk leaf did not have any statistically significant effect on all hematology parameters and blood mineral profiles. In conclusion, depolarized katuk leaf can be used as a growth promoter in beef cows without any negative effect on their physiological status. Keywords: Hematologi, katuk depolarisasi, kesehatan, mineral, sapi pedaging
Nilai Nutrisi dan Rendemen Ekstrak Metanol Pelet Katuk Depolarisasi sebagai Parameter Standar Mutu Produksi Agik Suprayogi; Fadjar Satrija; Muladno Muladno; Ronald Tarigan; Afton Atabany; Novriyandi Hanif; Welly Sugiono; Yuliantoni Yuliantoni
Jurnal Ilmu Pertanian Indonesia Vol. 28 No. 4 (2023): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.28.4.607

Abstract

Standardization of the quality of the depolarized katuk pellet production process as a feed additive is very important to maintain product quality. The production process requires dry katuk leaves (DKK) as raw materials which are then processed into depolarized katuk leaves (DKD), and continues in the pelleting process to become depolarized katuk pellets (PKD). Quality standard can be done by measuring the parameters of nutritional value and also the yield of methanol extract. Nutritional values were obtained from the results of proximate analysis, namely the percentage of dry matter, ash content, crude protein, crude fiber, crude fat, beta-N, calcium, phosphorus, and gross energy (Cal/g). Mean while, the yield of methanol extract was obtained by maceration using methanol solvent. This study aims to evaluate the nutritional value and yield of crude methanol extract of katuk leaves (DKK, DKD, PKD) which can be used as a quality assurance standard for the depolarized katuk pellet production process. In general, the nutritional value of DKD and PKD had the same value as that of DKK, except for calcium which was quite high (P<0.05) in DKD and PKD, and the percentage of crude fiber was lower (P<0.05) in PKD compared to DKK and DKD. The percentage of crude fat in pellets (PKD) was higher (P<0.05) when compared to DKK and DKD. The yield of methanol extract was very high (P<0.05) in DKK, compared to DKD and PKD. The nutritional parameters and the yield of the katuk leaf extract can be used as quality assurance standards for the depolarized katuk pellet production process. Keywords: depolarization, katuk, methanol, nutrition, pellet
A Novel Approach for Bali Cattle Classification: Integrating the Fuzzy Inference System with Certainty Factor and Morphometric Parameters Arnaldy, Defiana; Seminar, Kudang Boro; Neyman, Shelvie Nidya; Sukoco, Heru; Muladno, -
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3218

Abstract

Enhancing the productivity and quality of Balinese cattle is a crucial goal for improving livestock management practices in Indonesia. Traditional evaluation methods used by farmers are often subjective and inconsistent, leading to inaccuracies in cattle classification and limiting the effectiveness of breeding and selection processes. To address these challenges, this study proposes a Fuzzy Inference System with Certainty Factor (FIS-CF) to improve cattle classification by providing more objective and reliable grading criteria. The model utilizes key physical parameters, including shoulder height, body length, and chest circumference, as input features to categorize cattle into three quality classes. A diverse dataset was collected from the People's Animal Husbandry School (SPR) and various farms across Indonesia to evaluate the model's performance. The FIS-CF model achieved a classification accuracy of 95.93% and a balanced accuracy of 96.20%, outperforming traditional methods that rely on subjective assessment. These results demonstrate that the proposed model provides a consistent, scalable, and data-driven solution for livestock classification, helping farmers make more informed decisions in cattle selection and breeding. Additionally, the model addresses key limitations of current practices by reducing reliance on manual evaluations, which often vary between assessors. The findings highlight the potential for wider adoption of the FIS-CF model across the livestock sector to improve productivity and streamline herd management processes. Future research will aim to refine the model further by incorporating additional parameters, such as age and weight, and expanding its validation to larger datasets covering different cattle breeds and farming environments to ensure broader applicability in sustainable livestock management.