scholarly journals The ARIMA Box-Jenkins Method has been used to Predict the Price of Large Curly Red Chilis

2021 ◽  
pp. 89
Author(s):  
Yustirania Septiani ◽  
Vinca Ayu Setyowati
Keyword(s):  
Arima Model ◽  
Economic Value ◽  
Price Forecasting ◽  
Market Demand ◽  
Model Based

Chili is one of the potential commodities based on market demand and high economic value. The price of chili has fluctuated every month so that this commodity contributes to inflation in food that can affect overall general inflation. Thus, an analysis of forecasting prices for large curly red chili is needed so thar people and farmers do not need to worry and can prepare for future risks. Price forecasting in this study uses the Box-Jenkins ARIMA method. The data used is the price of lare curly red chili prices from December 2015 to April 2020. The data to be analyzed is then made into several forms of the ARIMA model and one will be chosen as the best ARIMA model. Based on the results of the study, ARIMA (1,1,3) is the best model. Thus the forecast results obtained for the price of large curly red chili in Magelang City from May 2020 to February 2021. With this research it is expected ti be able to assist the Depasrtment of Industry and Trade of Magelang City in making decisions related to the price of lare curly red chilli which fluctuates every year.

PERLINDUNGAN HUKUM TERHADAP KARYA SENI BATIK YANG BELUM TERDAFTAR MENURUT UNDANG-UNDANG NOMOR 28 TAHUN 2014 TENTANG HAK CIPTA

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Inggrit Fernandes
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Cultural Heritage ◽  
Intellectual Property Rights ◽  
Rapid Growth ◽  
Economic Value ◽  
Legal Protection ◽  
Property Law ◽  
Market Demand ◽  
Work Of Art

Batik artwork is one of the treasures of the nation's cultural heritage. Batik artwork is currently experiencing rapid growth. The amount of interest and market demand for this art resulted batik artwork became one of the commodities in the country and abroad. Thus, if the batik artwork is not protected then the future can be assured of a new conflict arises in the realm of intellectual property law. Act No. 28 of 2014 on Copyright has accommodated artwork batik as one of the creations that are protected by law. So that this work of art than as a cultural heritage also have economic value for its creator. Then how the legal protection of the batik artwork yaang not registered? Does this also can be protected? While in the registration of intellectual property rights is a necessity so that it has the force of law to the work produced

scholarly journals Price Forecasting of Mango in Varanasi Market of Uttar Pradesh

2018 ◽  
Vol 6 (2) ◽  
pp. 218-224 ◽  
Author(s):  
Ravishankar Pardhi ◽  
Rakesh Singh ◽  
Ranjit Kumar Paul
Keyword(s):  
Arima Model ◽  
Uttar Pradesh ◽  
The State ◽  
Percentage Error ◽  
Price Forecasting ◽  
Harvest Management ◽  
Alternate Bearing ◽  
Agricultural Produce ◽  
One Step ◽  
Forecasting Analysis

The study had been made to forecast the price of mango using ARIMA model in one of the major markets of Uttar Pradesh as the state ranks first position in production of mango in India. Varanasi market was selected purposively on the basis of second highest arrival market of mango in the state. Using ARIMA methodology on the monthly prices of mango collected from the Agricultural Produce Market Committee (APMC), Varanasi for the year 1993 to 2015. As the mango fruit having property of alternate bearing, only six month data from March to August was available in the market and accordingly had been used for forecasting analysis using E-views 7 software. The results revealed that the price in selected market was found to be highest during the start of the season using ARIMA (1,0,6) model, confirming the validity of model through Mean Absolute Percentage Error (MAPE). The MAPE was found to be less than 10 per cent for one step ahead forecast of year 2015. Forecasted price for the month of March was almost double than the price of other months. It indicates the necessity of adopting pre and post harvest management technologies for getting the benefit over increase in prices.

Basketball sports neural network model based on nonlinear classification

2020 ◽  
pp. 1-10
Author(s):  
Rongkai Duan ◽  
Pu Sun
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Linear Part ◽  
Arima Model ◽  
Research Field ◽  
Modeling And Analysis ◽  
Model Based ◽  
Bodily Injury ◽  
Nonlinear Classification

With the continuous innovation of science and technology, the mathematical modeling and analysis of bodily injury in the process of exercise have always been a hot and difficult point in the research field of scholars. Although there are many research results on the nonlinear classification of the basketball sports neural network model, usually only one model is used, which has certain defects. The combination forecasting model based on the ARIMA model and neural network based on LSTM can make up for this defect. In the process of the experiment, the most important is the construction of the combination model and the acquisition of volunteer data in the process of the ball game. In this experiment, the ARIMA model is used as the linear part of the data, and LSTM neural network model is used to get the sequence of body injury. The results of the empirical study show that: it is reasonable to divide the injury of thigh and calf in the process of basketball sports, which is very consistent with the force point of the human body in the process of sports. The results of the two models predicting the average degree of bodily injury for many times are about 0.32 and 0.38 respectively, which are far less than 1. The execution time of the program for simultaneous prediction on the computer is about 1 minute, which is extremely effective.

Sign in / Sign up

Export Citation Format

Share Document