Ratya Anindita

Niat Individu Mengkonsumsi Sayur Organik di Kelurahan Sawojajar Kota Malang

Tren baru di masyarakat dunia menjadikan masyarakat sadar akan gaya hidup sehat, sehingga mulai memperhatikan bahan pangan yang akan dikonsumsi. Sayur organik merupakan salah satu bahan pangan alami yang tidak terkontaminasi bahan kimia berbahaya, namun tindakan pembelian masyarakat Indonesia terhadap sayur organik masih rendah meskipun memiliki minat yang tinggi terhadap sayur organik, sehingga tidak mengikuti tren dunia. Tujuan penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi niat individu dalam mengkonsumsi sayur organik dengan menggunakan Theory of Planned Behavior (TPB). Niat individu dalam TPB dipengaruhi oleh tiga faktor yaitu sikap, norma subjektif dan persepsi kontrol perilaku. Penelitian dilakukan pada ibu-ibu yang sedang melakukan kegiatan pembelian sayur organik di Toko Sayur dan Buah Dapur Ku, Kelurahan Sawojajar, Kota Malang dengan menggunakan metode analisis Structural Equation Modelling – Partial Least Square (SEM – PLS). Hasil penelitian ini menunjukkan bahwa variabel sikap, norma subjektif dan persepsi kontrol perilaku memberikan pengaruh yang signifikan terhadap niat individu dalam mengkonsumsi sayur organik dengan nilai p-value < 0,001. Nilai R-square pada penelitian ini adalah sebesar 51% berarti bahwa pengaruh variabel sikap, norma subjektif dan persepsi kontrol perilaku terhadap niat pembelian sayur organik sebesar 51% sedangkan sisanya 49% dipengaruhi variabel lain di luar model.

ANALYSIS OF PADDY FARMER’S SATISFACTION ON INSECTICIDE X IN PENDEM VILLAGE, JUNREJO SUB-DISTRICT, BATU CITY

Satisfaction is a condition where the demand for the products received in accordance with consumer s’ expectation. The purpose of this research is to analyze the paddy farmers satisfaction on the insecticide used. Data collection was done by interview technique using questionnaire. The method of analysis used is the method of Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI). The respondents were 40 rice farmers. This study uses one of the insecticide brands used by rice farmers. From t he IPA method , the result shows that on average the conformity rate is 91.4% . This indicates that the insecticide product is able to meet consumer expectations. The result of the CSI method show s that the satisfaction level is 78.2%.

Analysis of Strawberry Farmer’s Satisfaction for Utilization of “X” Fungicide in Pandanrejo Village, Batu City

The objective of this research are to understand some factors that are affecting strawberry farmers satisfaction in utilization of ”X” fungicide and the level of farmer satisfaction. The location of this research in Pandanrejo Village, Batu City with 50 respndents. The method which was used in this research are decriptive statistics, Logistic Regression, and Customer Satisfaction Index (CSI). Measuring factors that affect satisfaction used four dummy variables, such as education level, group refference, training experience, and information source. And then to measure the level of satisfaction used variable of product attributes such as variety of product size, composition, expire date, procedure, permite of distribution, product availability, benefit, product information, completeness, rate of extermination ,and price. The result of logistic regression that group reference and source information are affecting the satisfaction of strawberry farmer. The obtained result of Customer Satisfaction Index method got 73,43% which means that strawberry farmer are satisfied with fungicide “X”.

THE ABILITY OF INDONESIA COCOA BEANS IN FULFILLING THE DOMESTIC NECESSITY OF INTERMEDIATE PROCESSED COCOA INDUSTRY

Intermediate processed cocoa and chocolate industries in the world show increasing because the chocolate products consumption is growing at a very strong pace. Indonesia is a country with the potential to become the largest exporter of intermediate processed cocoa. The objectives of this research are: to analyze the ability of production of domestic cocoa beans to meet the demand for intermediate processed cocoa industry; to analyze the factors that influence the demand for cocoa beans to produce cocoa paste, cocoa butter and cocoa powder. This research uses simultaneous equation model with 2SLS method. This study states that the cocoa beans necessity required by industry of cocoa paste, cocoa butter and cocoa powder can be fulfilled by domestic production of cocoa beans. Cocoa beans demand for cocoa paste industry is influenced by wages, cocoa beans demand for cocoa butter and cocoa powder industries. Cocoa beans demand to produce cocoa butter is affected by world cocoa price, interest rate, cocoa beans demand for cocoa paste and cocoa powder industries.

Food Self-Sufficiency Through Land Area Expansion (CGE Analysis in Indonesia)

This study aimed to analyze the impact of land area expansion policy of paddy and corn crops towards food self-sufficiency in Indonesia. Analyses were performed by using CGE models based on the SAM data and Input Output Table of Indonesia in 2008. The result showed that the increase of land area of paddy and corn by 4-10%, the paddy production will rise 36,21-87,93%, while the corn production is relatively constant even going down to 0,55%. If the land of paddy and corn increased by 4-10%, it will decrease the export of almost all sectors in Indonesia, except the food and beverage industry whose increased 52-118,12%, as well as fertilizer and pesticide industries whose are relatively constant. On the other hand, the land area expansion of paddy and corn 4-10% will not affect the import of this commodity. Thus, it can be concluded that the land area expansion of paddy and corn crops have a positive impact on food self-sufficiency (rice and corn) in Indonesia. Keywords: land area expansion; paddy and corn crops; food self-sufficiency; CGE models

FARMER’S INTENTION ON CLIMATE CHANGE ADAPTATION

The purposes of this research is to describe local knowledge of farmer’s perception toward climate change and to analyze farmer’s intention toward climate change adaptation based on the theory of planned behavior. The sampling method used is simple random sampling with the population is the farmers in the research location. Data was analyzed using descriptive statistics analysis and also structural equation modeling – partial least square (SEM-PLS) for generating information regarding farners behavior toward climate change. The results showed that 57.5 percent of respondents said that the intensity of rainy season and the temperature were changing significantly and 40 percent respodents also agree that the temperature was getting higher. There was 65% of respondents said that the climate change was driven by deforestration or logging. However, there was 17.5% of respondents said that factories have caused the climate change. Impact of climate change cause increasing pests and diseases attacking paddy crops and decreasing significantly of land productivity. For the structural equation modeling, subjective norm and perceived behavior control infuence positively the intention of farmers’ adaptation toward climate change.

Supply Response and Corn Price Volatility in Indonesia

Corn is a strategic commodity due to its high carbohydrate and protein content. In recent years, consumption for corn has increased because of the increasing population and high demand of corn from milling industries, livestock feed industry, and food consumption. The corn production fluctuates depending on weather and the presence of pests and diseases, whereas, corn consumption increases every year. Hence, the disequilibrium between production and consumption makes price fluctuate. There are many undesirable effects on the increase, such as: decrease or increase in the purchasing power of buyers and financial loses. Therefore it is important to analyze price dynamics of corn. The objectives of this research are to analyze the supply response in corn market, analyze corn price volatility in Indonesia, and choose the appropriate GARCH (Generalised Autoregressive Heteroscedastic) model to express price volatility. This research was conducted in Indonesia, because Indonesia is one of the top corn producers in the world. The methodology of this research uses GARCH model. The empirical results show that price volatility is an important risk factor.