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Determinant Factors of Food Security in Indonesia Arif Wahyu Widada; Masyhuri Masyhuri; Jangkung Handoyo Mulyo
Agro Ekonomi Vol 28, No 2 (2017): DECEMBER 2017
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.854 KB) | DOI: 10.22146/jae.26245

Abstract

All countries around the world are dealing the same problem in assuring the sufficiency of food for feeding their people. Indonesia is the biggest agrarian state in South East Asia and the fourth largest state in the world. The challenge faced by Indonesia with a large population is on how food meets the needs of its population, which until now Indonesia has not been able to guarantee the fulfillment of food supply for its population. This study aims to analyze the influence of determinant factors toward Indonesian food security. Binary Logit Model was employed to analyze determinant factors of Indonesian food security. Jonsson and Toole criterion of food security was used to identify Indonesian food security status as dependent variable. This research found that land area, rice production, corn production, soybean production, chicken meat production, beef production, the population density the CPI (Customer Price Index) including the CPI for housing, electricity and gas, the CPI for health, the CPI for transportation and financial services, and FIMI (Food Insecurity Multidimensional Index) have significant influences towards the level of food security in Indonesia. It means that food security could be achieved by not only improving the quantity and quality of consumption, but also improving food supply, the ability to access economically and the stability.
The Effect of Good Agriculture Practices (GAP) on Soybean Productivity with Cobb-Douglas Production Function Analysis in Kulon Progo Regency Fitry Purnamasari; Lestari Rahayu Waluyati; Masyhuri Masyhuri
Agro Ekonomi Vol 28, No 2 (2017): DECEMBER 2017
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (66.048 KB) | DOI: 10.22146/jae.26823

Abstract

This study aims to determine the level of adoption of Good Agriculture Practices (GAP) and the influence of GAP and other factors of production on soybean productivity. The number of respondents in this research is 50 farmers taken randomly. This research used proportional parameter test and multiple linear regression analysis with Ordinary Least Square (OLS) method. This research has been declared valid, reliability, data have been the normal distribution, free from multicollinearity and heteroscedasticity problem. The result of the analysis shows that (1) the adoption rate of GAP of soybean farmers in Kulon Progo Regency is categorized as a high category. Farmers adopted 83,07% of the overall GAP portion of the input, land preparation, planting, fertilizing, crop protection, irrigation, harvesting, and post-harvest. (2) The result of the R2 test shows that 47,8% variation of soybean productivity can be explained by the eight independent variables and the remainder is explained by variables outside the model. F test results show that the independent variables together affect the productivity of soybeans. The result of t-test shows that Seed, manure, Gandasil fertilizer, GAP adoption rate significantly positive and NPK fertilizer significantly negatively affect soybean productivity.
Cost Analysis Of Replacement And Bearing Trailer Maintenance In Sugar Group Companies Mastur Mastur; Masyhuri Masyhuri; Lestari Rahayu Waluyati
Agro Ekonomi Vol 28, No 2 (2017): DECEMBER 2017
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.241 KB) | DOI: 10.22146/jae.27759

Abstract

The purpose of this study are to understand (i) the costs and periods optimal of grease used for the replacement and maintenance bearing trailer in Sugar Group Companies (SGC), and (ii) the effect of a period and frequency of grease, lifetime bearing, frequency of replacement bearing in a year, unit trailer, brand bearing, and location of plant. The basic method used is descriptive and analytical. The location determined were in Workshop Division PT. ILP, PT. SIL, and PT. GPM. The analytical method used analytical tables, charts, and multiple regression analysis. The optimal period of grease based on bearing replacement and maintenance costs: (i) PT. ILP both brand A and B: Fertilizer Trailers (FT), Water Tank (WT), Side Tipping Trailer (STT), and Tank Moving (TS) is on 5 days, while Patria (PTR) and Disc Harrow (DH) on 3 days; (ii) PT. SIL both brand A and B unit trailer: FT, WT, PTR, STT, and TS on 5 days unless DH on 3 days; and (iii) PT. GPM for brands B for all unit (FT, WT, PTR, STT, TS, and DH) on 5 days, nor brand A except DH on 3 days. The factors that effect is a period of grease, bearing replacement and frequency of grease in one year. Cost of replacement and maintenance brand A < B. PT. ILP has the lowest costs than PT. SIL and PT. GPM.
The Study of Leading Subsector and Leading Commodities of Agricultural in Anambas Islands Regency, Riau Islands Province Marina Marina; Dwidjono Hadi Darwanto; Masyhuri Masyhuri
Agro Ekonomi Vol 29, No 1 (2018): JUNE 2018
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (22.501 KB) | DOI: 10.22146/ae.30739

Abstract

Indonesian government is currently implementing regional development emphasizing on the characteristic and potential strength of each region. This program will be more optimal if conducted based on the introduction of the leading potential along with its use by maintaining the environmental sustainability. This research is aimed to (1) identify the basis/leading and non-basis/non-leading of agricultural sub-sector and its commodities; (2) to classify the pattern of sub-sector growth and agricultural commodities. The data used was time series consisting of secondary data from Anambas Islands Gross Regional Domestic Product (GRDP) in accordance with the basic constant price in 2010 and the production value data of agricultural commodity during 2010-2015. The data analysis by Location Quotient (LQ) and Typology Klassen method. The analysis result shows that the sub-sectors of food crops, plantation, and fishery are the basis sub-sector (LQ > 1). The commodities of wetland paddy, sweet potato, mustard, water spinach, spinach, pineapple, banana, coconut, clove, cow (cattle) and kampong chicken are the basic commodities (LQ > 1). According to the analysis of Klassen Typology, the sub-sectors of food crops and plantation crops are included in leading and fast-growing classification (rik  > riand Yik> Yi), while the commodities of wetland paddy, sweet potato, mustard, spinach, and coconut are included in the leading and fast-growing commodities.
The Policy Analysis Matrix in Measuring Competitiveness of Maize Farming System in Marginal Areas Lorenta In Haryanto; Masyhuri Masyhuri; Irham Irham
Agro Ekonomi Vol 29, No 2 (2018): DECEMBER 2018
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.968 KB) | DOI: 10.22146/ae.35964

Abstract

Yellow maize for animal feed is one of potential strategic commodities to be developed in Pacitan Regency, as a marginal area. The focusing question is whether this commodity generates competitiveness. This research aims: 1) to determine the private and social profitability, 2) to analyze competitiveness through comparative and competitive advantages, 3) to discuss effects of government policies on maize farming system. Data were analyzed by using the Policy Analysis Matrix (PAM) method. A sampling area was purposively selected, i.e. Pacitan Regency, while 102 maize farmers were proportionally selected as respondents. The research covers three seasons: rainy season I, rainy season II, and dry season. The result of analysis shows that in the rainy season II, maize farming in Pacitan generates private and social profits and competitiveness as indicated by the Private Cost Ratio (PCR) and the Domestic Resource Cost Ratio (DRCR) of less than one. The maize farming in the rainy season I and the dry season does not generate either profit or competitiveness. In general, the level of government protection of agricultural outputs is considered low but the protection of both tradable and non-tradable agricultural inputs is high. The government policy on agricultural outputs and inputs simultaneously does not protect maize farming effectively.
Factors Affecting Farmer’s Exchange Rate of Sugar Cane Farmer Plasma in PTPN XI Muhammad Zul Mazwan; Masyhuri Masyhuri
Agro Ekonomi Vol 29, No 2 (2018): DECEMBER 2018
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.126 KB) | DOI: 10.22146/ae.36525

Abstract

This study aimed to determine the exchange rate and its affecting factors of plasma cane farmers in PTPN XI. This research involved 95 farming land cane farmers and 95 moor land cane farmers. The concept on this research are the concept of subsistence and multiple linear regression analysis method. The result showed, the exchange rate of plasma cane farmers of PTPN XI is 90.87% while that of moor land plasma cane farmers is 90.01%. This means that the average welfare status of cane farmers can be said to be not prosperous. Factors increasing the plasma cane farmers’ exchange rate on farming land are cane farm productivity, land area and rendement of cane, while on dry land are land area and the yield of sugarcane. On the other hand, factors descreasing the plasma cane farmers’ exchange rate on farming land are farmer’s experience, price of seed, price of inorganic fertilizer and price of labor, while on dry land are number of family members and cost of labor. The government needs to raise the Highest Retail Price of sugar. Government programs to support the production facility incentive in sugarcane farming activities are required, intended to decrease the production cost of sugarcane and provide motivation to improve the FER of plasma sugarcane. Agricultural intensification efforts are conducted by adding the inputs that are able to increase the FER.
Allocative Efficiency of Production Input of Pacific White Shrimp Farming in Grabag District, Purworejo Regency, Central Java Gama Dian Nugroho; Masyhuri Masyhuri; Irham Irham
Jurnal Perikanan dan Kelautan Vol 8, No 2 (2018)
Publisher : JURNAL PERIKANAN DAN KELAUTAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33512/jpk.v8i2.6644

Abstract

This study aims to determine the factors that affect the productivity of white shrimp farming business, allocative efficiency and profit of white shrimp farming in Grabag District, Purworejo Regency, Province of Central Java. The method used in this study was descriptive analysis. Selection of the study sample was done by purposive sampling that was farmer of white shrimp in Grabag District with total respondent in this study were 51 people. Production variables in this study were shrimp seed, feed, probiotics, lime, labour, farmer age, farmer education and farmer's experience. The analytical method used in this study was linear regression from Cobb-Douglas production function, to determine the factors that influenced the productivity of white shrimp farming business so that it could analyze the allocative efficiency, besides the profit analysis. The result of the analysis showed that: (1) the factors that influenced the productivity of white shrimp farming were feed, probiotics and farmers' experience, (2) the use of feed production and probiotic factor was not allocatively efficient so its use should be increased, (3) Average profit of white shrimp farming business was 996.116.057 IDR with average of pond area of 7.011,76 m2 / farmer so that average of each farmer got profit 142.063,63 IDR/m2/year.