Jurnal Ilmu Ternak
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Application Of Thiol Protease From Frangipani Stem (Plumeria obtusa) As A Coagulant Agent In Cream Cheese Production
Frangipani contains thiol protease enzymes, particularly in its stem. The stem's thiol protease qualifies as a vegetable rennet, which can be used as a milk coagulant to substitute animal-based rennet in cream cheese. This study aims to determine the physicochemical (yield, spreadability, protein content, and moisture content) and organoleptic characteristics (taste, color, aroma, texture, and overall preference) of cream cheese made using thiol protease from frangipani stem as a substitute for animal rennet. A completely randomized design was applied for physicochemical testing, and a randomized block design was used for organoleptic testing, followed by Duncan’s Multiple Range Test. Treatments included: PK (0.2% animal rennet), P1 (0.2% frangipani stem thiol protease), P2 (0.4% frangipani stem thiol protease), and P3 (0.6% frangipani stem thiol protease). The results showed that different concentrations of frangipani stem thiol protease significantly affected (P<0.05) the physicochemical parameters (yield, spreadability, protein, and moisture content). Organoleptic evaluation also showed significant differences (P<0.05) in color, taste, aroma, texture, and overall preference. The best treatment was P3 (0.6%), with a yield of 20.68%, moisture content of 73.25%, protein content of 14.73%, and excellent spreadabilit
Structure-Conduct-Performance (SCP) Analysis of Garut Sheep Market in Garut Regency
This study aims to analyze the structure, conduct, and performance (SCP) of the Garut sheep market in Garut Regency, West Java. Garut sheep are one of the region’s leading livestock commodities with high economic and cultural value. However, the marketing of Garut sheep remains inefficient due to issues such as imperfect market structures, price fluctuations, and the weak bargaining position of farmers. A descriptive quantitative research method was employed, utilizing a case study approach in six sub-districts of Garut Regency. Data were collected through surveys, interviews, observations, and focus group discussions (FGD) involving sheep farmers and market intermediaries. The findings indicate that the market structure for Garut sheep tends toward an oligopolistic model, characterized by a high level of concentration among large-scale traders. Market conduct is predominantly controlled by traders, particularly in price setting and transaction systems, while farmers act as price takers. Market performance is considered inefficient, as evidenced by high marketing margins and low farmer’s share. These results highlight the need for policy intervention to improve market structure and behavior, thereby enhancing marketing efficiency and farmer welfare
GIS-Based Multi-Criteria Land Suitability Analysis for Five Tropical Forage Legumes in Highland Agroecosystems
In this study, GIS-based land suitability analysis is used to optimize the cultivation of forage for goat production in Limapuluh Kota Regency, West Sumatra. We assessed five important forages—cassava, Calliandra calothyrsus, Gliricidia sepium, Sesbania grandiflora, and Leucaena leucocephala—by incorporating a multi-criteria evaluation (including slope, soil characteristics, and climate conditions). Results show clear agroecological niches: cassava flourishes extensively, even on marginal lands, C. calothyrus and G. sepium need specific adaptations to soil and climate, Sesbania grandiflora excels as a high-protein choice in various zones, whereas Leucaena leucocephala requires strict geographic targeting. Processing protocols (sun-drying, co-feeding) and species-specific rehabilitation were implemented to address critical constraints such as soil acidity, elevation, and anti-nutritional compounds (tannins, mimosine). The study creates a new suitability classification framework that allows for precise zoning of forage development. The main recommendations are to focus on Sesbania grandiflora in central valleys, cassava on slopes at risk of erosion, and Gliricidia sepium in lowland regions, while limiting Leucaena leucocephala to areas with optimal microclimates. This method strengthens the resilience of smallholders by cutting down feed expenses, boosting goat productivity, and promoting sustainable land use in accordance with SDGs 2 (Zero Hunger) and 13 (Climate Action). Policy integration includes spatial planning maps along with targeted subsidy schemes for acid-tolerant legumes
CRISIS IN THE REGENERATION OF LIVESTOCK WORKFORCE, ANALYSIS OF FACTORS AFFECTING YOUNG GENERATION'S INTEREST IN THE LIVESTOCK SECTOR
The purpose of this research is to analyze the factors affecting the interest of the young generation in the livestock sector. The research was conducted in the province of West Sulawesi, using a sample of 230 people selected through purposive sampling. Instrument testing used the Pearson product-moment and Alpha Cronbach. Data analysis used multiple linear regression, with variables consisting of independent variables: social factors (X1), economic factors (X2), government role (X3), demographics (X4), information access (X5), and technology support (X6), with the dependent variable being interest in working in the livestock sector (Y). The results of this study indicate that simultaneously, all independent variables—social factors, economic factors, government support, demographics, information access, and technology support—affect the dependent variable, which is the interest of youth in working in the livestock sector. Partially, only government support does not influence interest, while the variable with the greatest impact is the economic factor. The strength of the relationship between the independent variable and the dependent variable can be seen in the correlation coefficient (R) with a value of 0.871, which means the correlation is very strong. The magnitude of the influence of the independent variable on the dependent variable is reflected in the coefficient of determination (R2) value of 0.761 or 76.1%, in other words, there are other variables influencing outside the model by 23.9%
Monitoring the Reproductive Status of Sambar Deer (Cervus unicolor Kerr) Based on Sexual Behavior in Livestock Area of Palangka Raya City
AbstractThe existence of Sambar Deer (Cervus unicolor Kerr) is increasingly threatened due to habitat destruction and illegal hunting. However, with proper habitat management, this decline can be prevented. One of the Sambar deer-protected areas in Central Kalimantan is the Livestock Area of Palangka Raya City. This research aims to monitor the reproductive status of sambar deer based on sexual behavior in the Livestock Area of Palangka Raya City, Central Kalimantan. This research used six samples of sambar deer consisting of two female deer with sample codes A1&A2, two female deer with sample codes B1&B2 and two male deer with sample codes J1&J2. This research used three methods, namely Focal Animal Sampling, Ad Libitum Sampling, and One Zero Sampling. The results show that sexual activity is the lowest activity with a percentage of 1.9% (average time 13 minutes) per 11 hours. Meanwhile, the ANOVA test results show no significant difference in sexual activity between the deer groups. Keywords: Sexual Activity, Sambar Dee
Growth Curve Modeling of Garut Sheep at UPTD-BPPTDK Margawati Garut
Growth curves can be used to reflect changes in the body structure due to genetic and environmental responses. Here, six growth curve models are used: Gompertz, Logistic, Richard, Von Bertalanffy, Morgan-Mercer-Flodin (MMF), and Weibull models. This study aims to determine patterns and growth as seen from changes in ages and weights of male and female Garut sheep at UPTD-BPPTDK Margawati Garut. The case study method was used with 214 samples. Data from samples were processed to find similarities and curve shapes and the data was examined using Curve Expert software. The results showed that each parameter measured has a sigmoid growth curve. The curve model with the best accuracy to determine the growth rate of Garut sheep at UPTD-BPPTDK Margawati Garut is the Gompertz model, with correlation values for single birth type: average determination coefficient of 0.99, standard error of 0.98, and 0.82. For twin birth type, the average coefficient of determination is 0.99, standard errors are 0.63 and 0.57. For triplet birth type, the average coefficient of determination is 0.99, standard errors are 0.46 and 0.65
Differences in Quantity and Quality of Fresh Semen and Frozen Semen After Thawing in Limousin and Simmental Cattle at Lembang Artificial Insemination Center
The purpose of this study was to evaluate the differences in quantity and quality of fresh semen and post-thawing frozen semen of two different cattle breeds at the Lembang Artificial Insemination Centre (BIB). The method applied in this research was case study method and used secondary data. The research material consisted of semen production records obtained from 9 Limousin cattle and 9 Simmental cattle, which were collected in July 2023 at 08.00-09.00 WIB. The variables studied were colour, volume, consistency, pH, motility, mass movement, concentration, post-thawing motility, and individual spermatozoa movement. The results showed that Limousin cattle semen had milky white (88.89%) and cream (11.11%) colour, medium consistency (55.56%) and liquid (44.44%) and mass motility value (++). While Simmental cattle semen has a milky white colour, medium consistency and mass motility value (++). The breed of cattle significantly differed on the concentration, pH of semen and post-thawing motility, then the breed of cattle had no significant difference on the volume, motility and movement of individual spermatozoa. Simmental cattle have superior semen quality compared to Limousin cattle
Study of the Implementation of Health Management for Pig Breeding in CV Roku, Manggarai, East Nusa Tenggara
The application of health management is a determining factor for the success of a pig farm business. This research was conducted to find out the implementation of pig health management in CV. Roku, Manggarai, East Nusa Tenggara. The data used in this research was secondary data. The secondary data was reconfirmed to the owner using the direct interview method using questionnaires. Secondary data that has been confirmed using the interview method, was then analyzed descriptively. The practice of health management studied was the application of medication, biosecurity, and vaccination to gilts, sows, and piglets. The results of the study showed that the treatment of gilts reared on the farm was in the form of giving antibiotics, vitamins, and anthelmintics; medical measures performed on sows after giving birth in the form of giving antibiotics, vitamins, and anti-inflammatories while medical measures for sows after weaning are in the form of vitamins and antibiotics; as well as medical measures for piglets reared in the farm in the form of iron (Fe), vitamins, and antibiotics. The results of this study could be concluded that CV. Roku has not properly implemented pig health management, as evidenced by CV. Roku only applies medication but didn't apply biosecurity and vaccination at all to gilts, sows, and piglets in health management
The Role of Social Media in Mastering Broiler Livestock Management
Social media has experienced rapid development and has had a significant impact on various aspects of life, including the broiler livestock industry. Social media plays an important role in increasing the practical skills needed for effective broiler livestock raising management, including playing a role in providing easy and fast access to information, education, and interaction between individuals. This research aimed to analyze the influence of social media roles as an information medium, educational medium, and networking & communication medium for mastering broiler management. The research method used a quantitative approach using a survey method. Data were collected through direct interviews using structured questionnaires with a Likert scale of 1-5, observation, and documentation. The data was then analyzed by multiple regression analysis and descriptive analysis. The results indicate that the variables of information media, educational media, and networking & communication media simultaneously significantly affect broiler management mastery. Specifically, variables of information media and networking & communication media have a significant influence on management mastery, while educational media does not. It can be concluded that social media plays a significant role in enhancing broiler management mastery, with information media being the most dominant variable. The findings of this study are expected to serve as a foundation for optimizing the use of social media in the broiler livestock industry, thereby improving the effectiveness and efficiency of management practices