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All Journal International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS)
Rulianda P Wibowo
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Economics, Econometrics & Finance

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ANALYSIS OF INDONESIAN COFFEE EXPORT DEMAND IN THE UNITED STATES USING THE AIDS MODEL Habibulah; Rulianda P Wibowo; Sri Fajar Ayu
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 3 (2023): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i3.924

Abstract

Indonesia is the fourth largest coffee producing country in the world after Brazil, Vietnam and Colombia. Of the total production, around 67% of the coffee is exported while the rest (33%) is used to meet domestic demand. The level of domestic coffee consumption based on the results of the 1989 LPEM UI survey was 500 grams/capita/year. Coffee entrepreneurs estimate that coffee consumption in Indonesia has reached 800 grams/capita/year. Likewise, within 20 years the increase in coffee consumption has reached 300 grams/capita/year. (AEKI 2022). competition research on Indonesian coffee in the United States market by using the Almost Ideal Demand System (AIDS) method. The use of the AIDS model is used to analyze the position and level of competition between coffee exporting countries (Indonesia, Vietnam, and Brazil and Colombia) from each export destination country, namely the United States. the estimation results on the AIDS model of Indonesian coffee in the United States market get an R-Square value of 0.4136 percent. Vietnam in the United States market obtained an R-Square value of -0.216 . Brazil in the United States market obtained an R-Square value of 0.44%. Columbia in the United States market obtained an R-Square value of 0.4488%. Coffee from Indonesia competes with coffee from Vietnam, Brazil and Columbia. The cross-price elasticity obtained between the price elasticity of Indonesia-Vietnam coffee is positive at 0.9443, and the price elasticity value of Indonesia-Brazil coffee is 0.0330, the price elasticity value for Indonesia-Columbia coffee is 0.5854. The expenditure elasticity values obtained by Indonesian coffee were 0.4479, Vietnam coffee were 1.7403, the expenditure elasticity values for Brazil and Columbia coffee were 1.0155 and 0.9042. in the United States Market.
ANALYSIS OF GOLDFISH PRODUCTION EFFICIENCY (CASE STUDY: LAWE BULAN SUBDISTRICT SOUTHEAST ACEH DISTRICT) Intan Mulia; Rulianda P Wibowo; Rahmanta
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 4 (2023): August
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i4.980

Abstract

Goldfish is in great demand by the people of Southeast Aceh because it is easily obtained in the market and becomes a typical dish. There is an increase in feed prices while output prices are fixed. So many farmers stopped producing but some survived. There is a difference in productivity between farmers who quit and farmers who stay. Farmers must improve production efficiency with the use of the right inputs so as to minimize costs and maximize profits. The study was conducted in Lawe Bulan District with the number of samples used as many as 40 farmers. The analysis used by DEA (Data Envelopement Analysis) to obtain Technical, Allocative and Economic Efficiency values and Tobit Regression Analysis to see the relationship between efficiency and farmer characteristics. The results of the DEA Analysis obtained a technical efficiency value of 0.757 or 75.5%. The allocative efficiency value was obtained at 0.919 or 91.9%. The Economic Efficiency Rate is 0.832 or 83.2%. The results of Tobit Regression are technically significantly positively related to the age of farmers. Allocative efficiency revealed a significant effect at the level of 5% and negatively related between allocative efficiency and education level. The results of the DEA analysis of the level of production efficiency have not been efficient. The Technical Efficiency score has an inefficiency of 24.5%. The allocative efficiency value of inefficiency was 8.1%. The Economic Efficiency score of inefficiency was 16.8%. The results of tobit regression there are sources of inefficiency of socioeconomic variables that become inefficienciesSuch as technical efficiency of education and number of dependents, allocative efficiency of age, education and experience, economic efficiency of experience variables and number of dependents.
ANALYSIS OF THE USE OF COMBINE HARVESTER ON THE INCOME OF RICE FARMERS IN CINTA DAMAI VILLAGE, PERCUT SEI TUAN DISTRICT, DELI SERDANG REGENCY Laurensius Parsaulian Sitinjak; Iskandarini; Rulianda P Wibowo
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 2 (2024): April
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i2.1413

Abstract

This increase in rice productivity must also be accompanied by an increase in the quality of the rice produced, namely rice that is able to meet demands and suit consumer preferences. The use of combine harvester harvesting machines can benefit farmers, because combine harvesters make it easier for farmers to harvest rice, shorten harvest time, reduce costs during harvest and can overcome the difficulty of finding workers during the main harvest. The aim of this research is: To analyze rice production before and after using Combine Harvester technology. To analyze rice farmers' income before and after using Combine Harvester technology. The data collected in this research used quantitative data analysis with descriptive statistical techniques. For quantitative data, use the average difference test (t-test). The results of this research were that the amount of rice production after using the combine was greater because the grain was clean, not mixed with dirt from empty grain and rubbish such as grass, rice stalks and rice leaves did not enter the sack, whereas before using the combine harvester the grain was still dirty and still a lot of empty grain droppings into the sack. Farmers' income before using combine harvester technology is lower than farmers who have used combine harvester technology, this is because using a combine harvester machine can cut production costs and reduce losses during harvesting activities and the amount of labor needed before using this tool. more than after using a combine harvester, so it will have an impact on increasing rice production and the income of farmer users.
Co-Authors Habibulah Intan Mulia Iskandarini Laurensius Parsaulian Sitinjak Rahmanta Sri Fajar Ayu