Time series forecasting is a well-established research domain, particularly in finance and econometrics, with a multitude of methods and algorithms proposed to achieve accurate future trend predictions. This study aims to examine the effectiveness of two popular models, ARIMA and LSTM, for predicting trends in gold prices in finance and econometrics. Monthly global gold prices from January 2010 to December 2022 are analyzed, with a training set f

The study aims to predict the cereals prices trade flows in Cambodia, considering anticipated price fluctuations by using the ARIMA model. The data on cereals price of Cambodia was deseasonalized by the seasonality index (SI) for seasonality, resulting in monthly prices from 2000 to 2021. The target variable was independently smoothed by single exponential smoothing (SES) and Holt-Winters exponential smoothing (HWES) before transforming to the Bo

Plastic bags are used widely across nations and became famous for carrying goods and packing products since 1970 and they start to rapidly popularized in the 20thcentury. People live in Phnom Penh City, the capital city of Cambodia, also use large amount of plastic bags due to various reasons such as their convenience, inexpensive, get free of charge, and easy to get. Plastic bags use has rapidly increased as result of changing life styles, popul

Tonle Sap Biosphere Reserve (TSBR), the largest productive freshwater lake in Southeast Asia regions, is recognized by UNESCO in 1997. TSBR gives a huge benefit to Cambodian, especially for riparian settlement along the lake. The surface area of TSBR changes from 250 000 to 300 000 ha in dry season with the level of water about 1.5m, while in rainy season the area is increased from 1 to 1.3 million ha with the level of water from 8 to 10m. TSBR