This is report part 2. In this report, we employed supervised learning and logistic regression to evaluate features that significant to classify people who prone to emotional issue. The exploration of SUSENAS data is written in previous report:

This report aims to estimate the number of working and school population at metropolitan area in Central Jawa called Kedungsepur (Kab Kendal, Kab Demak, Kota Semarang, Kab Semarang, Kota Salatiga, Kab Grobogan). Method used to estimate the number of working and school population is small area estimation. We tried some SAE models and selected a model with the best accuracy

This report aims to select auxiliary variables to estimate the number of working and school population at metropolitan area in Central Jawa called Kedungsepur (Kab Kendal, Kab Demak, Kota Semarang, Kab Semarang, Kota Salatiga, Kab Grobogan) using small area estimation. The estimation using SAE estimation is documented on the other file.

In this report, we explored SUSENAS (Socio-economic National Survey) data. The data exploration in this report aims to picture the linked mental health issue with socio-economic as well as demographic aspects in Indonesia in 2023.