Navigating Samarinda's climate: A comparative analysis of rainfall forecasting models.

Modeling rainfall data is critical as one of the steps to mitigate natural disasters due to weather changes. This research compares the goodness of traditional and machine learning models for predicting rainfall in Samarinda City. Monthly rainfall data was recapitulated by the Meteorology, Climatology, and Geophysics Agency from 2000 to 2020.

Statistical modeling to analyze factors affecting the middle-income trap in Indonesia using panel data regression.

The Middle-Income Trap (MIT) refers to the situation in which a country's per capita income can reach middle-class levels but remains there for years, making it difficult to move up to a higher income level. Indonesia was declared trapped in MIT in 2014, and in 2019, it was added to the group of upper-middle-income (UM) countries. However, due to COVID-19, it returned to the lower-middle income (UM) group in 2020.