Forecasting Farmer Exchange Rate in Bali Province Using Seasonal Autoregressive Integrated Moving Average (SARIMA) Method

Pratiwi, Dinda; Agustini, Sisilia M. U.; Windasari, Wiwin; Kencana, I Putu Eka Nila

doi:10.1088/1742-6596/1503/1/012002

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Secondly, over time, the global ocean temperature is gradually changing. We need to predict the changes in sea temperature within the maximum distance that herring and mackerel fish can migrate [17][18][19][20][21]. erefore, the scope of the sea area we studied is shown in Figure 4.…”

Section: Research Ideasmentioning

confidence: 99%

[Retracted] Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

Chen

et al. 2021

Complexity

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Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent years, global warming has caused a gradual rise in ocean temperatures. In order to survive and reproduce, herring and mackerel populations will migrate. This will have a huge impact on Scotland’s fisheries. Therefore, we need to predict the relocation of fish stocks in advance, make timely adjustments to the fishing range, and minimize the loss of the fishing industry. In this article, we subdivide the research target sea area into 39 regions, establish the optimal SARIMA model for each region based on the collected seawater temperature time series data, and take region 13 and region 15 as examples to fit the ARIMA (3, 3, 1) (1, 2, 1) and ARIMA (2, 3, 1) (0, 2, 1) models with a period of 12. The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. Finally, according to the predicted sea temperature in different periods, the migration position of the fish school is predicted.

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Section: Research Ideasmentioning

confidence: 99%

[Retracted] Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

Chen

et al. 2021

Complexity

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“…hence, FER is one indicator of the relative stage of welfare of farmers. The better the NTP, the enormously extra rich the farmer's degree of existence [12].…”

Section: Farmer's Exchange Ratementioning

confidence: 99%

The Effect of Coffee Commodity Export Performance on The Welfare of Coffee Farmers in Indonesia

Pakkanna¹,

Subiantoro²,

Karno³

2022

Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022,

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Coffee is an important type of beverage for most of the people around the arena. not most effective due to the entertainment of espresso drinkers, however additionally because of the financial fee for countries that produce and export coffee beans. Indonesia is one of the largest espressos generating and exporting nations in the global. In terms of agricultural commodities, espresso is the fourth largest forex earner for Indonesia after palm oil, rubber and cocoa. those export sports will have an effect at the improvement and development of the u . s . a .'s economy and the welfare of the human beings, particularly the welfare of coffee farmers. The purpose of this looks at became to investigate the effect of coffee export overall performance on the welfare of espresso farmers. The approach used is the error Correction version (ECM). The consequences showed that coffee export overall performance had a superb and large impact at the welfare of coffee farmers in both the fast-term and long-time period estimates.

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“…hence, FER is one indicator of the relative stage of welfare of farmers. The better the NTP, the enormously extra rich the farmer's degree of existence [10]…”

Section: Farmer's Exchange Ratementioning

confidence: 99%

The Contribution of The Realization of Exports of Crude Palm Oil to Farmers’ Income and Employment in Jambi Province

Lativa¹,

Susilastuti²,

Astuti³

2022

Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022,

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Jambi Province is one of the provinces that has palm oil as its essential commodity. The development of oil palm in Jambi has a advantageous effect on the economic system and plays a position in employment. The plantation zone has a vital position inside the financial system of Jambi Province because many human beings nonetheless depend on the oil palm plantation area for his or her lives. CPO is the main export commodity that earns a number of foreign exchanges for the use of a. CPO also has very excessive competitiveness because there are nevertheless many countries that need CPO. This observes pursuits to analyze the effect of the conclusion of exports of crude palm oil on farmers' income and employment in Jambi province. The studies technique used is an blunders correction model with a studies duration from 2011 to 2021. The results display that the export of crude palm oil has a advantageous and considerable effect on farmers' profits and employment in each the quick and long time.

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Forecasting Farmer Exchange Rate in Bali Province Using Seasonal Autoregressive Integrated Moving Average (SARIMA) Method

Cited by 4 publications

References 4 publications

[Retracted] Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

[Retracted] Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

The Effect of Coffee Commodity Export Performance on The Welfare of Coffee Farmers in Indonesia

The Contribution of The Realization of Exports of Crude Palm Oil to Farmers’ Income and Employment in Jambi Province

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