https://repository.unisma.ac.id/handle/123456789/87 Publikasi Ilmiah Dosen Program Studi Agribisnis 2026-07-14T14:14:37Z https://repository.unisma.ac.id/handle/123456789/2580 Consumption and Beef Price Changes on Demand in East Nusa Tenggara, Indonesia Nendissa, Doppy Roy; Anindita, Ratya; Khoiriyah, Nikmatul; Sa’diyah, Ana Arifatus Households consume animal protein after carbohydrate food is fulfilled, moreover animal protein prices are increasing. This study aims to analyze the effect of rising beef prices on demand. The demand system approach uses the Quadratic Almost Ideal Demand System (QUAIDS) model. Estimation of parameters using Iterated non-linear Seemingly Unrelated Regression. The research data use the 2016 National Socio Economic Survey (Susenas, 2016), amounting to 10,751 households. The results of the study concluded that beef is the third most elastic animal food after fresh fish and chicken meat. Fresh fish in the most elastic among all animal foods with a demand elasticity of 3.31%, followed by chicken, beef, milk powder, and eggs with demand elasticities of 1.55%, 1.62%, 1.29%, and 0.80%, respectively. Beef is a luxury item with an income elasticity of 1.59%, as well as fresh fish, chicken meat, and milk powder. While eggs are normal goods. Although fresh fish is more elastic than beef, beef marginal expenditure share (MES) is higher than fresh fish MES, so that in the long run, the increase in household income tends to increase beef consumption more than fresh fish. [ARCHIVES] Copyright Article from : Agris on-line Papers in Economics and Informatics 2021-01-01T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2468 Forecasting the Basic Conditions of Indonesia's Rice Economy 2019-2045 Arifin, Zainul; Hanani, Nuhfil; Kustiono, Djoko; Syafrial; Asmara, Rosihan By 2045, Indonesia's population is expected to reach 321.4 million, the fifth largest in the world after China, India, Nigeria, and the United States. It is an excellent challenge for Indonesia to provide food in the future as it keeps pace with the rapid population growth. This study aims to analyze forecasting the basic conditions of Indonesia’s rice economy 2019-2045. The research data use time-series data from 1961-2018, including data from the Central Bureau of Statistics (BPS), Ministry of Agriculture/Pusdatin, Food and Agriculture Organization (FAO), International Rice Research (IRR), Department of Commerce, United States Department of Agriculture (USDA), and ASEAN Food Safety Information System (AFSIS). Data analysis using the simultaneous equations model approach. The results show that in 2019-2045 the projection of rice productivity in 2025 is 64,465 quintals per hectare; in 2035, it is 68,797 quintals per hectare, and in 2045 it is 77,462 quintals per hectare. In 2045, the projected land area is 27.64 million hectares. Although Indonesia is forecast to experience a rice surplus of 37.80 million tonnes in 2045, the projected rice production and domestic rice consumption level indicate the potential for rice imports of 15 million tonnes. [ARCHIVES] Copyright Article from : Agricultural Socio-Economics Journal 2021-04-30T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2460 Overview of the Indonesian Rice Economic Model Arifin, Zainul; Hanani, Nuhfil; Kustiono, Djoko; Syafrial; Asmara, Rosihan The increasing demand for rice from year to year is the main problem in maintaining Indonesia’s food security. This research aims to analyze factors that affected the rice economy in Indonesia toward riceself-sufficiency. The data used in the study are secondary data based on time series from 1961 - 2018. The model used in this study is a simultaneous equations model. The rice supply blocks models consist of paddy production, rice production, rice area, rice productivity, paddy fields, labor, N fertilizer, P fertilizer, K fertilizer, pesticides, rice supply, loss of rice, rice supply, rice imports, rice exports, prices of domestic rice, and world rice prices. The result shows that all the explanatory variables that make up the 11 models significantly affect the endogenous variables (level of significance of 1%). In contrast, the explanatory variable of the rice import equation can not explain the model [ARCHIVES] Copyright Article from : EurAsian Journal of BioSciences 2020-12-01T00:00:00Z https://repository.unisma.ac.id/handle/123456789/2392 Animal Food Demand In Jakarta, Indonesia: Using Quadratic Almost Ideal Demand System Nikmatul, Khoiriyah; Ratya, Anindita; Nuhfil, Hanani; Wahib, Muhaimin Abdul All of the households in Jakarta are urban households, but when viewed from the income elasticity of animal food, all animal food is still a luxury item except eggs. This study aims to analyze the influence of socio-demographic variables, price, and income on animal food demand in Jakarta. The estimation of demand system using Quadratic Almost Ideal Demand System model with the application of Iterated Non-Linear Seemingly Unrelated Regression. Research data using Susenas 2016 is 4,298 households. The results showed that a 1% increase in income would increase demand for eggs, chicken, beef, fish and milk by 0.38%, 1.07%, 2.19%, 1.44%, and 1.84%. Eggs are normal goods while chicken, beef, fish, and milk are luxury items. Beef is most sensitive to income changes. Beef is a substitute for eggs and chicken. The increase in household members of 1 person decreased the consumption of beef by 0.07%. Households in Jakarta are very sensitive to changes in the price of chicken, beef, and fish. To meet protein consumption according to national standards, the stability of beef prices needs to be maintained. In Jakarta, pricing policies are more effective than income policies. [ARCHIVES] Copyright Article From : RJOAS (Russian Journal of Agricultural and Socio-Economic Sciences) 2019-04-01T00:00:00Z