AbdillahHalim1 (AbdillahHalim1)

2024: Monitoring mangrove forests is crucial for environmental conservation, especially in the face of
climate change. Conventional methods are often inefficient, while satellite imagery lacks detail.
Deep learning technology, specifically the DeepForest model, offers a more effective solution.
This model can analyze satellite and aerial imagery to:
1. Accurately detect and count mangrove trees.
2. Track changes in the number of mangrove trees over time.
3. Identify areas experiencing a decrease in mangrove tree numbers.

2024: Analyze data from the Olist E-Commerce dataset and answer the following questions:
1. Who are the customers with the most recent transaction time, highest purchase frequency, and
highest total transactions in the last 2 years?
2. How can we group customers into 5 segments based on their total RFM score in the last 2 years?
3. Which area has the highest transactions in the last two years?

2025: Proyek ini bertujuan untuk mengembangkan dan mengimplementasikan sistem monitoring komprehensif untuk operasional jaringan dan sistem pendukungnya. Fokus utamanya adalah memastikan stabilitas, ketersediaan, dan kinerja optimal dari berbagai layanan dan proses yang vital bagi operasional sehari-hari.