Forecasting the Value of Oil and Gas Exports in Indonesia using ARIMA Box-Jenkins
نویسندگان
چکیده
The objective of the study was to forecast value oil and gas exports in Indonesia using ARIMA Box-Jenkins. With this prediction, it is hoped that can be a for future policy making. This export data obtained from Indonesian Central Bureau Statistics (BPS) website, raw January 2010 March 2022. predicted method with help R software. stages analysis include: stationary test, build model indication, parameter estimation significance residual diagnostic test model. results conducted show there are 3 indications models were generated, namely ARIMA(1,1,0); ARIMA(0,1,1); ARIMA(1,1,0). From these indications, best ARIMA(0,1,1) AIC 2047.65.
منابع مشابه
Case Study : Analysis and Forecasting of Salinity in Apalachicola Bay , Florida , Using Box - Jenkins Arima Models
The Apalachicola Bay is one of the most productive estuaries in Florida. Variations of salinity directly influence the productivity of the aquatic habitats. Physical conditions that affect the salinity include tidal elevations, wind and current velocities, precipitation, and the discharge of the Apalachicola River. In the present paper, cross-correlation techniques, autoregressive integrated mo...
متن کاملForecasting Milled Rice Production in Ghana Using Box-Jenkins Approach
The increasing demand for rice in Ghana has been a major concern to the government and other stakeholders. Recent concerns by the coalition for African Rice Development (CARD) to double rice production within ten years in Sub-Saharan countries have triggered the to implement strategies to boost rice production in the government. To fulfill this requirement, there is a need to monitor and foreca...
متن کاملForecasting Tuberculosis Incidence in Iran Using Box-Jenkins Models
BACKGROUND Predicting the incidence of tuberculosis (TB) plays an important role in planning health control strategies for the future, developing intervention programs and allocating resources. OBJECTIVES The present longitudinal study estimated the incidence of tuberculosis in 2014 using Box-Jenkins methods. MATERIALS AND METHODS Monthly data of tuberculosis cases recorded in the surveilla...
متن کاملforecasting price of egg with holt-winters smoothing, box-jenkins (arima) and artificial neural network (ann)
0
متن کاملforecasting tuberculosis incidence in iran using box-jenkins models
background: predicting the incidence of tuberculosis (tb) plays an important role in planning health control strategies for the future, developing intervention programs and allocating resources. objectives: the present longitudinal study estimated the incidence of tuberculosis in 2014 using box-jenkins methods. materials and methods: monthly data of tuberculosis cases recorded in the surveillan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information and Visualization
سال: 2022
ISSN: ['2746-1440']
DOI: https://doi.org/10.35877/454ri.jinav260