Here are the process that we've done:

1. Secondary Data Analysis: Utilizes existing data from various sources, including:

- Meteorology, Climatology, and Geophysics Agency (BMKG) for weather data

- Ministry of Agriculture for agricultural data

- Ministry of Environment and Forestry for environmental data

2. Document Studies: Collects information from:

- Research reports

- Scientific journals

- Policy documents related to climate change and adaptation

3. Literature Review Conducted systematically to identify, review, and analyze relevant information using scientific databases such as:

- Google Scholar

- IEEE Xplore

- Keywords: "climate change," "adaptation," "environmental management," "data visualization," "agriculture," and "Indonesia"

1. Statistical Approaches: Applied to identify relationships between climate change, adaptation, and management strategies

2. Data Visualization: Interactive dashboards created using applications like Tableau to visualize analysis results in an engaging and understandable manner

1. Problem Identification: Understands how climate change has affected Indonesia's environmental and agricultural systems from 2010 to 2020

2. Data Mapping and Visual Analysis: Uses information dashboards to analyze and visualize climate change trends, adaptation strategies, and efforts for adaptive environmental and agricultural management in Indonesia

3. Data Processing: Merges three CSV files using the left join method in Tableau, based on 'station_id' and 'province_id' columns, and exports the data to CSV format

4. Data Visualization: Conducted post data processing using Tableau to facilitate easier comprehension of the data through various visualization types, including:

- Line Charts

- Pie Charts

- Graphs

- Gauges

- Histograms

- Scatter Plots

Here are the interactive dashboards: