Price Of Chicken Meat Research Articles

Volatilitas Harga Daging Ayam Broiler di Tingkat Pedagang Pengecer pada Berbagai Kabupaten/Kota di Provinsi Jambi

This research aims to analyze broiler chicken meat price volatility at the retail trader level in various districts/cities in Jambi Province. Forecasting analysis of broiler chicken meat prices in Jambi Province using time series secondary data in the form of daily data on the price of purebred chicken meat from 1 January 2023 to 31 October 2023 sourced from the National Food Agency. The analytical method used to determine volatility and the appropriate forecasting model for broiler chicken meat prices in Jambi Province uses the ARIMA, ARCH/GARCH model. The volatility of broiler chicken meat prices at the retail trader level in 11 districts/cities in the Jambi Province region varies, with the volatility in Kerinci District being the highest. The appropriate forecasting model for determining the price of broiler chicken meat in Jambi Province is the ARCH Model, which performs well in predicting the price of broiler chicken meat in Jambi Province.

Supply analysis of mushroom in Malang, Indonesia

Background: This study aims to determine the factors that influence the supply and elasticity of mushroom supply in Malang. Method: The primary method used in this research is descriptive and analytic. The research location was chosen purposively in Malang. The type of data used is secondary data in the form of time series for 39 months. The data analysis method used is multiple regression linear analysis with the partially adjusted Nerlove Model. Findings: The results showed the variable price of mushrooms, the area of the harvested mushroom, the price of chicken meat, the price of urea fertilizer, and interest rates individually affected the supply of mushrooms in Malang. The variable of mushroom production and the average rainfall had no significant effect. Variables that are elastic in the short term are the area of the harvested mushroom, and elastic in the long term are the area of the harvested mushroom and the price of chicken meat. Conclusion: The mushroom farmer needs production planning to anticipate increases in the price of substitution products. Mushroom farmers are advised to make storage for supply and expand the mushroom house with more substantial materials to increase supply. Novelty/Originality of this study: This analysis provides an in-depth understanding of supply dynamics, identifying key factors that influence supply elasticity in the short and long term. This study offers practical recommendations for mushroom farmers to optimize their production in the face of market fluctuations.

Analisis Integrasi Pasar Parsial untuk Komoditas Daging Ayam Broiler antar Berbagai Kabupaten/Kota di Provinsi Jambi

This research aims to determine the spatial market integration of broiler chicken meat commodities between various districts/cities in Jambi Province. The analysis method used is the VAR (Vector Autoregression) / VECM (Vector Error Correction Model) model. There is partial market integration in the long and short term for broiler chicken meat commodities between various regencies/cities in Jambi Province so that the price of broiler chicken meat in regencies/cities in Jambi Province influences each other not only in the current period but in relation to prices 1 to 2 days before. There is short and long-term spatial market integration for broiler chicken meat in districts/cities in Jambi Province. The price of broiler chicken meat in Jambi City causes changes in the price of broiler chicken meat in Batang Hari Regency, Kerinci Regency, Merangin Regency and West Tanjung Jabung Regency, and vice versa.

ANALISIS PERMINTAAN DAGING SAPI DI KABUPATEN JEMBER

The beef that consumers want is meat that suits the needs and desires of consumers so that the attributes inherent in beef are important for producers to pay attention to from the supply to the marketing process. This research aims to determine the factors that influence demand for beef in Jember Regency and to calculate the elasticity of beef in Jember Regency due to price, income and cross-elasticity of demand due to the price of chicken meat. This research is descriptive with locations at traditional markets in various sub-districts including Panti, Jelbuk, Silo, Ledokombo, Ambulu, Tempurejo, Sumberbaru, Kencong, Sumbersari, Kaliwates and Patrang sub-districts, Jember Regency, East Java Province. Sampling used the incidental sampling method with a total of 100 respondents. Data collection was carried out through observation, interviews and questionnaires among beef consumers in Jember Regency. Data analysis used multiple linear regression analysis using Eviews 9.0 software. From the research results it can be concluded that the price of beef, income, number of family members, and tastes have a significant influence on demand for beef, while the price of chicken meat and age do not have a significant influence on demand for beef in Jember Regency and the elasticity of demand for beef shows that price elasticity the demand for beef is 6.051298, meaning that the demand for beef is elastic. Meanwhile, the cross elasticity is -0.164605, which shows that chicken meat can be categorized as a substitute for beef.

Analysis And Forecasting of Foodstuffs Prices in Bandung Using Gated Recurrent Unit

Bandung is a city in West Java province, Indonesia. Bandung becomes one of the most densely populated cities in Indonesia. Therefore, predicting and analyzing the prices of foodstuffs based on historical data is necessary to provide useful information for society and government. This paper developed models implementing a gated recurrent unit or GRU which is a specific version of recurrent neural networks (RNN) for forecasting the price of rice, chicken meat, chicken egg, shallot, and garlic in a Bandung traditional market. The GRU models are trained using a dataset from the Information Center for National Strategic Food Price. The data are recorded from January 2018 – February 2023. The experimental results show that GRU was successfully implemented for forecasting the price of rice, chicken meat, chicken egg, shallot, and garlic. The best models produce Mean Absolute Error (MAE) as 4.3, 133.1, 118.3, 341.8, and 338.1 for rice, chicken meat, chicken egg, shallot, and garlic, respectively.

Analisis Faktor-Faktor Yang Mempengaruhi Konsumsi Daging Ayam Ras Di Kecamatan Teluk Ambon Kota Ambon

Increasing people's welfare is in line with increasing consumption of broiler meat as a source of animal protein. Improving a person's quality of life has implications for a selective attitude in choosing the quality and quantity of food consumed. This study aims to analyze the factors that influence the consumption of purebred chicken in Teluk Ambon District. The research location was determined purposively, namely deliberately in the market located in Teluk Ambon District, namely Pasar Rumah Tiga and Pasar Wayame. The basis for location considerations is that the people around the market have varied occupational professions and have heterogeneous levels of education. The research sample was drawn using the accidental sampling method, namely taking samples of respondents who are consumers who happen to shop for chicken meat. Respondents were taken as many as 60 people. To analyze the factors that influence the amount of consumption of chicken meat analyzed using multiple linear regression analysis method. The research results show that the price of chicken meat, the price of chicken eggs, the price of fish, the level of education, dependants, tastes, and income together have a significant influence on the amount of consumption of chicken meat. Partially, the variable price of chicken meat, the number of family dependents, income tastes have a significant effect on the amount of chicken meat consumption, while the price of chicken eggs, the price of fish, and the level of education have no significant effect on the amount of chicken meat consumption.

Analysis and Prediction of Foodstuffs Prices in Tasikmalaya Using ELM and LSTM

Foodstuffs price analysis and prediction is one of the important research topics. This paper applies Long Short-Term Memory (LSTM) and Extreme Learning Machines (ELM) as models for forecasting the price of rice, chicken meat, chicken egg, shallot, garlic, and red chili in the Tasikmalaya traditional market. The dataset is a daily time series obtained from April 2017 - February 2023. LSTM models perform accurately to forecast 5 foodstuffs prices and obtain MAPE scores of no more than 3%. ELM works well to predict the price of rice, chicken meat, chicken egg, shallot, and garlic with MAPE scores are less than 1%. The price of rice, chicken egg, shallot, and red chili has an increasing trend. The correlation analysis finds that the price of chicken egg, shallot, and red chili has a positive correlation with each other.

Analysis of Household Consumer Level Factors Affecting Beef Demand in the Source Market of the Cirebon Regency

The purpose of this study is to ascertain the growth and demand for beef at the household consumer level in the Cirebon Regency Sumber Market, as well as the impact of broiler commercial chicken meat as a substitute item and the variables that influence the amount of beef demand at the homemaker's consumer level in the Cirebon Regency Sumber Market. The Sumber Market was chosen as the research site, with sampling as the primary factor in the decision. Sixty-eight respondents were all housewives and accidental sampling was employed using the Lemeshow formula methodology to sample the respondents. Multiple linear regression is used to analyze the data, and the SPSS 27 program is used for hypothesis testing. Traditional assumption testing includes the autocorrelation test, the normality test, and the F test. A value of F-calculated to 10,388 > F-table 2,350 indicates that the variables of beef price, consumption, chicken meat price, income, and number of family dependents (X1, X2, X3, X4, X5) together have a positive effect and significant to the demand for beef. The results showed that the demand for meat in Cirebon Regency was influenced by income (X4), which obtained a sig value of 0.01 0.05. The number of family dependents.

Roadmap for value chain analysis on broiler marketing in Makassar

Makassar City is a potential area for the development of the broiler marketing value chain. The main challenge in developing the broiler value chain is high price fluctuations, both input and output. Value chain analysis on broiler marketing in Makassar aims to identify and analyze value chain channels, distribution of costs and benefits, as well as market characteristics. Analysis of the distribution of costs and benefits is carried out using the Hayami method. The results of the research show that there are irregular price fluctuations and imbalances in market structure at each level of the value chain. Each marketing chain of broiler chickens in Makassar City gains a disproportionate profit at each marketing level with the value creation contribution made and the risks borne by each marketing level. The total profits of large retailers are greater than those of brokers and small retailers, while the value creation activities and risks of large retailers are smaller than those of brokers. Unnatural fluctuations in the price of chicken meat are the impact of the government’s lack of role as a supervisor and regulator in the value chain activities of broiler marketing. The development of the broiler marketing value chain must focus on regulatory oversight, improving access to markets, information and capital to increase the competitiveness of business actors.

Price Behavior of Beef and Chicken Meat in Indonesia

Stabilization of food prices is still a strategic issue in Indonesia. This is because most Indonesians use their income mostly for food. Various publications reported that Indonesian food expenditure is approximately half of their income. Therefore, maintaining price stability, including beef and chicken meat price, is a significant policy to design. However, the continuous difficulty in predicting how beef and chicken meat prices behave is another reason for the importance of analyzing the price behavior of these two commodities. This research aims to respond to these problems by analyzing price fluctuations and price trends in beef and chicken meat commodities in Indonesia. The data used is monthly beef and chicken meat prices in Indonesia from January 2018 until December 2022, or 60 observations. Analysis of price fluctuations (instability) and trend analysis is applied. The results show that commodity chicken meat has a higher instability (fluctuation) than beef price. Both beef and chicken meat trend show a quadratic pattern, with an increasing trend for beef and a decreasing trend for chicken meat.

Analisis Faktor – Faktor Yang Memengaruhi Harga Daging Sapi di Jawa Barat

West Java has a consumption level of beef above the national average consumption level. Beef is an essential commodity for the residents and the economic system of West Java Province. However, the price of beef in West Java is unstable. In May 2021, beef became the second biggest contributor to inflation in West Java. High inflation has had a negative impact on economic actors, so efforts to stabilize beef commodity prices is important. The purpose of this research is to analyze the factors that influence the price of beef in West Java. This research applies a time series data of 2003-2020 and the error correction model method. The results of the study showed that the long-term variable price of chicken meat and international beef prices have a positive effect on the price of beef in West Java. Meanwhile, in the short term, the beef cattle population had a negative effect and the chicken meat price had a positive effect on beef prices in West Java. The results of this study indicate that a stable beef price can be achieved by increasing the population of beef cattle, especially culled cows and ready-to-slaughter bulls. In addition, the research results also show that chicken meat is a substitute commodity for beef, so to meet the public's need for animal protein, it is also important to stabilize the price of chicken meat. Stabilization of chicken meat and beef prices should be pursued to go hand in hand.

Vector Autoregressive (VAR) Method in Analyzing the Effect of Inflation on Food Price Volatility (FPV) in Palopo City, Indonesia

Purpose: This study aimed to analyze the effect of Inflation on food prices in Palopo City, where the inflation rate is calculated based on index numbers collected from several commodities traded at each price level in the market, namely the Consumer Price Index (CPI). Theoretical framework: The Vector Autoregressive (VAR) method is simultaneous equation modeling that has several endogenous variables simultaneously, but each endogenous variable is explained by lags of its own value and other endogenous variables in the model. Forecasting using the VAR method is in some cases better than complex simultaneous equations. Design/methodology/approach: The stationarity test in this study uses the Augmented Dickey-Fuller (ADF) method, followed by determining lag optimal Akaike Information Criteria (AIC) and Schwarz information Criterion (SC) analysis. The stability test of the VAR model was carried out through the Johansen Cointegration Test at a 5% significance level which produced six equations with a trace statistically more significant than the critical value. Then an analysis of Impulse Response Functions (IRF) was carried out to see the dynamic response of the CPI variable to food commodity prices. The data used are time series for January 2018 to December 2020. Findings: The inflation response to food price fluctuations in Palopo City resulted in three conditions. The Palopo City CPI responded positively to the price fluctuations of garlic and red chili. In contrast, shallots and chicken meat price fluctuations responded negatively to the Palopo City CPI. The Palopo City CPI did not permanently affect the price fluctuations of cayenne pepper and chicken eggs. Research, Practical & Social implications: The practical implication of this research is that food commodity prices still have an influence on inflation movements. Local governments should cooperate with city governments in the production of food commodities by implementing cropping patterns on these commodities to overcome excess production, and it is necessary to carry out off-season production to achieve harvest deficits so that prices remain stable. Improvements to the trade system also need to be improved in addition to the production system. This is intended so that the distribution of food commodity products can be more efficient by implementing supply chain management. Originality/value: Collecting time series data of the Consumer Price Index (CPI) for 6 commodities, namely shallots, garlic, chili peppers, cayenne pepper, broiler meat, and broiler eggs, in a modern model, namely a multivariate time series model with a high level of predictive accuracy of the model among these variables to predict and analyze the effects among these series and estimate the interactions among these series with the latest data is the value of this research, and then provide recommendations for the government in making economic strategies, especially for those related to inflation and food prices.

Eksplorasi Harga Bahan Pokok sebagai Indikator Dini Pengendalian Inflasi di Sumatera Barat

This study explores inflation’s leading indicators in West Sumatra using ten strategic commodities prices. These ten strategic commodities are rice, beef, chicken meat, chicken egg, onion, garlic, red chili, cayenne pepper, cooking oil, and sugar. This study employs the Granger Causality Test to infer the inflation’s leading indicators in West Sumatra using monthly time series data from August 2017 up to December 2021. The results show red chili and chicken meat have a positive and significant effect on inflation in West Sumatra and can be used as Leading Indicators of West Sumatra inflation. The main implication of this finding is the inflation rate would be as volatile as red chili and chicken meat prices.

Awareness creation and impact assessment of meat retailers during Covid-19 lockdown in Mymensingh district

The COVID-19 pandemic impacted on meat production and its supply chain, and also meat prices. The research was conducted to evaluate the impact assessment of meat retailers during Covid-19 lockdown in Mymensingh District of Bangladesh. A total number of 50 meat retailers were surveyed from Mymensingh district for collecting necessary data and information. The experiment was conducted to increase awareness among meat retailers from February-April, 2021. An amalgam of descriptive statistics, mathematical and statistical analyses was used to analyze the data. It was observed that all the meat retailers faced problems in terms of selling meat and lowering return during the period of pandemic lockdown. During Covid-19 situation the income of meat retailers became lower compared to other conditions. Statistics showed that the income of meat retailers decreased about 60% during lockdown period. Results showed that average age, education and family size of meat retailers were 38 years, 5.84, and 5.98, respectively. The price of beef before, during and after lockdown was BDT 546, 512 and 550, respectively. The price of chevon before, during and after lockdown was BDT 804.16, 675 and 800.00, respectively. Similarly, the price of broiler meat and sonali chicken meat before, during and after lockdown was BDT 114.34, 106.52, 128.47; 189.47, 198.42, and 233.15, respectively. During Covid-19 situation the income of meat retailers became much lower as compared to any other critical conditions. About 90% meat retailers faced various problems towards buying and selling of animal, lack of consumers and lack of demand for meat. The prices of all kinds of meat such as beef, goat meat, and chicken meat became lessened during pandemic. During pandemic about 92% meat retailers used face mask for keeping them safe from corona virus. Only 10% people tested for corona virus. During lock down period it was seen that about 60% maintained physical distance at the time of selling of meat. During the time of pandemic lockdown 98% meat retailers did not get any financial support from government organizations or NGOs or any other private organizations. They did not also get any kind of help to create awareness from public health Department or from local authority. Despite facing all these problems, about 100% meat retailers liked to continue their meat business.

Faktor-Faktor yang Mempengaruhi Permintaan Ikan Laut di Desa Jetis, Kecamatan Nusawungu, Kabupaten Cilacap

Cilacap Regency has a fairly high production of marine fish, but it is not matched by the high level of consumption of marine fish by its people. However, based on data per village, Jetis Village in Nusawungu District is the highest village in terms of consumption of marine fish when compared to other areas. Therefore, it is interesting to study the factors that influence the demand for marine fish in Jetis Village, Nusawungu District, Cilacap Regency. The purpose of this study was to analyze the effect of the price of marine fish, the price of other goods, income, and the number of household members on the demand for marine fish in Jetis Village, Nusawungu District, Cilacap Regency. This study uses primary data obtained through interviews and distributing questionnaires to 96 households in Jetis Village. Data were analyzed using multiple linear regression model. The results showed that the price of marine fish and income, did not have a significant effect on the demand for marine fish in Jetis Village. Meanwhile, the price of other goods and the number of household members have a significant influence on the demand for marine fish in Jetis Village. The implication of this research is that although the price of marine fish has no significant effect on the demand for marine fish, the stability of the price of marine fish is still important for the community so that the price of marine fish will remain affordable. Since the prices of other goods are complementary to the consumption of marine fish, it is important to pay attention to price stability for other goods, such as the price of chicken meat, the price of freshwater fish, and the price of eggs.

ANALYSIS OF SUPPLY AND DEMAND OF BROILER CHICKEN MEAT IN BALI PROVINCE

This study aims to analyze factors such as broiler chicken population, DOC prices, feed prices and drug prices on boiler chicken meat supply, and population, per capita income, boiler chicken meat prices, tourist visits and religious holidays to demand boiler chicken meat in Bali Province. The research method used is multiple linear regression analysis with the help of the SPSS program and trend analysis. Used 2 dependent variables and 9 independent variables. The data used in this study are primary data obtained from interviews with 100 respondents, while secondary data is obtained from annual data from 2009 to 2019. The results of the study concluded that the broiler chicken population, DOC prices, feed prices and drug prices had no effect on the supply of boiler chicken meat at the 95% confidence level and R2 of 0.641. This is because most breeders have partnerships with companies. Meanwhile, partially the demand for boiler chicken meat is determined by the population with a coefficient of 0.045 at 95% confidence. This shows that the increase in population is directly proportional to the consumption of broiler chicken meat. While other variables do not affect the demand for broiler chicken in Bali Province.

Analisis Organoleptik dan B-Karoten Nugget Ikan Nila (Oreochromis sp.) dengan Penambahan Tepung Wortel (Daucus carota L)

Generally, nuggets on the market are made from chicken meat but today the price of chicken meat is high so it needs alternative raw materials in making nuggets. One of the raw materials that can be used for making nuggets is tilapia meat. Tilapia has high protein and a soft texture. To increase the attractiveness and nutritional value of nuggets, so vegetables can be added. Carrot is one of the vegetables that can be used as an added ingredient in tilapia fish nuggets because it contains ?-carotene which is a source of ?-tocopherol, dietary fiber, ascorbic acid, tocopherol, and natural antioxidants. The purpose of this study was to determine the effect of adding carrot flour with different concentrations to the organoleptic values and levels of ?-carotene of selected tilapia fish nuggets. This study uses a quantitative research method with a Completely Randomized Design (CRD) model with 4 treatment levels and 3 replications. The treatment in this study refers to the concentration of carrot flour were K0 (0%), K1 (8%), K2 (10%), and K3 (12%). Parameters observed were organoleptic (color, flavor, taste, and texture) and ?-carotene. The results showed that the addition of carrot flour had a significant effect on the organoleptic value of tilapia nuggets (p<0.05). The best treatment in this study was the addition of 12% carrot flour concentration (K3) with panelists acceptance rate at color 7.83 (like), flavor 7,96 (like), taste 7,52 (like) and texture 7,60 (like). K3 treatment was the selected tilapia nugget with the value of ?-carotene 12.09 ppm (bk) and 24.03 ppm (bb).

Analysis of Vegetables Demand by “Warteg” Restaurants in Bandar Lampung City

The purpose of this study is to determine and analyze the demand pattern of vegetables (water spinach, cassava leaves, and eggplant) and the factors that affected the demand of vegetables by warteg restaurants in Bandar Lampung City. The location was determined purposely (purposive method). The number of the respondents in this study were 50 warteg restaurants, taken by proportional random sampling methods. Data were collected from December 2020 to February 2021, taken by interview techniques. The data were analyzed using descriptive analysis methods and multiple regression analysis models. The results showed that the average of vegetables demand by warteg restaurant amount 8,5 kg of spinach water per week, 7,9 kg of cassava leaves per week and 3 kg of eggplant per week. The average purchase frequency amount 3,58 time per week for spinach water, 3,08 time per week for cassava leaves and 1,26 time per week for eggplant. The types of vegetables menu is stir-fried water spinach, cassava curry vegetables, and eggplant sauce. The restaurant owner usually buy the vegetables at the traditional market. Furthermore, factors which affect to the demand of vegetables are the price of water spinach, the price of cassava leaves, the price of eggplant, the price of tempe, the price of egg, the price of chicken meat, number of restaurant menu, restaurant income and the price of vegetables dishes.

Awareness creation and impact assessment of meat retailers during Covid-19 lockdown in Sherpur District

The research was conducted to create awareness and evaluate the impact of Covid-19 lockdown on meat retailer’s income in Sherpur District. A total number of 50 meat retailers (beef, chevon, broiler, mutton and chicken) were surveyed through a structured questionnaire for collecting necessary data and latent variables. Collected data were analyzed through descriptive statistics and regression model. Awareness were created by displaying a poster in front of meat retailer’s shop and distribution of Covid-19 kit which contains soap, sanitizer, face mask, hair net and hand gloves. Practical demonstration was given how to wear the kit materials. Meat retailers were very happy to wear from hypothetical observations. Results showed that average age, education and family size of meat retailers were 41.86 years, 5.96, and 6.16, respectively. The price of beef before, during and after lockdown was BDT 523.52, 477.64 and 542.00, respectively. Simarlry, the price of broiler meat and sonali chicken meat before, during and after lockdown was BDT 129.68, 95.59, 137.65; 182.50, 167.50, and 217.50, respectively. During Covid-19 situation the income of meat retailers became much lower as compared to any other critical conditions. About 100% meat retailers faced various problems towards buying and selling of animals, lack of consumers, and lack of demand for meat. The prices of all kinds of meat namely beef, chevon, and chicken meat became drastically lower during pandemic. About 84% meat retailers used face mask, 60% maintained physical distance and 2% people tested for corona virus. During lockdown 98% meat retailers did not get any financial support from government, NGOs or any other private organizations. They did not get any kind of help to create awareness from the government or local authority. Despite facing all these problems, 98% meat retailers would like to continue their meat business. Meat retailers demanded subsidy to maintain their livelihood during lockdown. In conclusion, awareness was created through poster and supplied Covid-19 kit among meat retailers and they need government incentive during lockdown to maintain their livelihood since income of meat retailers was negatively and significantly decreased.

Analisis Peramalan Harga Daging Ayam Broiler di Pasar Tradisional Provinsi Jambi

This study aims to determine the volatility of broiler chicken meat prices in the modern market in Jambi Province and to compile a proper forecasting model for the price of broiler chicken meat in the modern market in Jambi Province. Broiler Chicken Meat Price Forecasting Analysis in Jambi Province uses skunder data which is weekly time series data with the period 2018 - 2021 (September). The data analyzed in this study is the price of broiler chicken meat in the modern market of Jambi Province. The analysis method used to determine the volatility and proper forecasting model for broiler chicken meat prices in the modern market of Jambi Province uses the ARCH/GARCH, ARIMA model. The study concluded that there is volatility in the price of broiler chicken meat in the modern market of Jambi Province. The volatility of broiler chicken meat prices in the modern market is with the ARCH(1) model. n addition, volatility in the modern market of Jambi Province can be seen based on CSD or conditional standard deviations and its volatility value. in the modern market it is 0.01630950. The right forecasting model to determine the price of broiler chicken meat in modern market of Jambi City is to use the ARIMA model.