The Risk Measurement of Horticultural Price: A Comparison Based on Financial Access in West Java, Indonesia

Wulandari, Eliana; Supyandi, Dika; Ernah, Ernah

doi:10.17576/jsm-2020-4903-26

Cited by 4 publications

(3 citation statements)

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“…The model is highly conservative, and the choice of confidence level should also consider the constraints of sample data. The higher the confidence level is chosen, the less likely the actual loss will exceed VaR [25].…”

Section: Image Edge Pixel Distributionmentioning

confidence: 99%

Financial Asset Risk Measurement Based on Smart Sensor Big Data Security Analysis and Bayesian Posterior Probability Model

2022

Wireless Communications and Mobile Computing

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Following the speeding up of a process of financial globalization, the risks faced by financial markets have become more complex and diversified. Correlated patterns among financial assets exhibit characteristics of nonlinearity, asymmetry, and tail correlation. The original linear correlation analysis method is no longer suitable, but relevant information describing financial risks. In order to confirm whether an asset is safe, the key is to study and master its volatility, and this is based on our mastery of volatility measurement skills. This article is based on smart sensor big data security analysis and Bayesian analysis. The risk measurement of financial assets based on the empirical probability model is studied. The GARCH- t (1,1) model is selected according to the Akaike information criterion (AIC) after the generalized autoregressive conditional heteroskedasticity (GARCH) model is established by the EViews software. According to the results of probability integral transformation, a series of correlation coefficients and degrees of freedom of t -copula are obtained by the maximum likelihood estimation method. This paper uses the risk-adjusted return on capital (RAROC) method to evaluate the risk performance of financial assets. Financial institutions can only retain and absorb the financial market risks that cannot be avoided and transferred. The edge user node sends the service request to the edge server node. The edge server uses the model proposed in this paper to evaluate the user’s trust and selects the corresponding service level according to the trust level corresponding to the calculated credibility results. The data show that the edge calculation takes 0.2581 seconds, while the linear search takes about 64 seconds. The results show that intelligent edge computing improves the accuracy and efficiency of financial asset risk measurement.

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Section: Image Edge Pixel Distributionmentioning

confidence: 99%

Financial Asset Risk Measurement Based on Smart Sensor Big Data Security Analysis and Bayesian Posterior Probability Model

2022

Wireless Communications and Mobile Computing

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“…Under the condition of a pandemic, food prices will experience fluctuations that will threaten farmers as producers. Also, by Rahman (1997), farmers' risks are price fluctuations of agricultural commodities (Wulandari et al 2020). It can be caused by weather, pest, and disease attacks (Anwaruddin et al, 2015).…”

Section: Agriculture In Covid-19 Pandemicmentioning

confidence: 99%

Coronavirus Diseases -19: an overview in education, agriculture, and communication perspectives

Karim

Aini²,

Akbar

2021

JES

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As it emerged at the end of December 2020 in Wuhan, China, Coronavirus has now spread to many countries, which affected several sectors of human life. This paper aims to describe the impact of covid-19 on education, agriculture, and communication in Indonesia. In education, COVID-19 impacted the teaching methods. Teachers utilized e-learning during the COVID-19 pandemic, such as Schoology, Edmodo, Google Classroom, Facebook, WhatsApp, and Zoom. In agriculture, coronavirus impacted downstream and upstream agriculture. As the main food producer, farmers should be protected from the dangers of the coronavirus to maintain food security. All people need to consume food based on agricultural products. In communication, coronavirus makes society change in the use of communication media. New media is more interactive and creates a new understanding of interpersonal communication.

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“…According to Wulandari et al (2017) it is important to motivate farmers to join farmers' groups in order to have access to financial institutions and governments through their membership in the farmers' group. Therefore, by joining the farmers' group can be an intermediary to gain access to financial institutions as well as to the government in order to get the highest minimum selling price for its business (Wulandari et al, 2020).…”

Section: Original Research Open Accessmentioning

confidence: 99%

The Difference of Behavior and Mango Farmers’ Income in Implementing Off Season and on Season Farming

Noerbayinda

Wulandari

2021

agroland

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The production of gedong gincu mango tends to be abundant lead to the selling price could decrease. Mango farmers in Jatibarang Sub-district had implemented off season farming as a solution to maintain the availability of mango production throughout the year which would have implications on the rising selling price. The behavior of farmers in on and off season could be different that may affect the cost, sale price and income of farmers. This study aims to analyze the differences behavior gedong gincu mango farmers in on and off season as well as its effect on their income. This research was conducted using survey method. The data analysis used a descriptive statistic, Mann Whitney tests and income analysis. The results showed no difference in farmers’ behavior in terms of fertilization and pruning frequency. Farmers in Jatibarang Sub-district as a whole have implemented off season farming so that there are differences in behavior in terms of the spraying frequency and applying paclobutrazol. Off season farming was more profitable than on season farming, with the average selling price reached IDR 25,200 per kg and average income of IDR 52,680,594. Therefore, off season farming could be an option to increase farmers’ income

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The Risk Measurement of Horticultural Price: A Comparison Based on Financial Access in West Java, Indonesia

Cited by 4 publications

References 0 publications

Financial Asset Risk Measurement Based on Smart Sensor Big Data Security Analysis and Bayesian Posterior Probability Model

Financial Asset Risk Measurement Based on Smart Sensor Big Data Security Analysis and Bayesian Posterior Probability Model

Coronavirus Diseases -19: an overview in education, agriculture, and communication perspectives

The Difference of Behavior and Mango Farmers’ Income in Implementing Off Season and on Season Farming

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