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Author

Gina Purnama Insany

2 papers indexed here

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Open access Aug 2026

Implementation of XGBoost and Random Forest for Coffee Raw Material Demand Prediction in E-Commerce

A marketplace-driven forecasting pipeline is developed that compares predictive models, applies temporal feature engineering, and deploys a decision-support prototype for raw material planning and was deployed in a Streamlit application to support production planning and inventory management.

Maximillian Huang, Gina Purnama Insany, Anggun Fergina · 0 citations
Open access Aug 2026

LSTM-Based Forecasting Model for Carrot Price Prediction Across Indonesian Provinces

Price volatility in food markets poses a significant challenge for Indonesia due to its impact on food security, inflation stability, and economic well-being. Carrots, as a horticultural commodity, are particularly vulnerable to price fluctuations because of their perishable nature, dependence on seasonal harvests, and...

Ujang Herlan, Alun Sujjada, Gina Purnama Insany · 0 citations

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