| Member | Path | University | Contact |
|---|---|---|---|
| Dinnuhoni Trahutomo | Machine Learning | Universitas Mulawarman |  |
| Awang Muhammad Novandra Arissaputra | Machine Learning | Universitas Mulawarman | |
| Anggraini Sagita Santia Putri | Machine Learning | Universitas Mulawarman | |
| Muhammad Haykal Fajjar Aulia | Cloud Computing | Universitas Mulawarman | |
| Rikad Anggoro Putra | Cloud Computing | Universitas Mulawarman | |
| Novianti Safitri | Mobile Development | Universitas Mulawarman | |
| Muhammad Fauzan Gifari Dzul Fahmi | Mobile Development | Universitas Mulawarman | |
The BANSAM App is a flood monitoring and prediction application designed to provide real-time flood alerts and flood risk predictions for the city of Samarinda. This app uses Machine Learning to predict floods based on historical and real-time data and uses Cloud Computing for backend support and Mobile Development to deliver a user-friendly interface for residents. By providing real-time data and alerts, BANSAM helps local communities stay informed and prepared for potential flooding events.
To install the BANSAM App, click on the following link to download the APK file: Download BANSAM App After downloading the APK file, open the file on your Android device to install the app.
To see a demonstration of the BANSAM App, watch the following video: BANSAM App Demo
| Minimum Viabel Product | Description |
|---|---|
| Flood Prediction | Provides predictions for flood occurrences today and tomorrow, specifically targeting high-risk flood-prone areas. |
| Geolocation Integration | Utilizes geolocation technology to identify the user’s location and deliver accurate, location-specific flood alerts. |
| Technologies Used | Description |
|---|---|
| Machine Learning | The app uses Machine Learning models to predict flood risks based on historical and real-time data. These models provide forecasts for high-risk locations in Samarinda, helping users stay informed about potential flooding events. |
| Cloud Computing | The app leverages Cloud Computing for backend support, enabling real-time data processing and storage. By utilizing cloud services, the app can deliver accurate flood predictions and alerts to users. |
| Mobile Development | The app is developed for Android devices using Mobile Development tools and frameworks. This platform allows for the creation of user-friendly interfaces and interactive features that enhance the user experience. |
| Future Enchancements | Description |
|---|---|
| Enhanced Flood Prediction Models | Implement more advanced Machine Learning algorithms to improve flood prediction accuracy and provide more detailed forecasts for high-risk locations. |
| User Feedback and Reporting | Allow users to provide feedback on flood alerts and report flood incidents in their area. This feature can help improve the app’s performance and provide valuable data for future predictions. |
| Community Engagement | Integrate social media sharing and community forums to encourage user engagement and collaboration during flood events. This feature can help build a stronger sense of community and support among residents. |
| Multi-Language Support | Add support for multiple languages to make the app accessible to a wider audience. By offering language options, the app can reach more users and provide valuable flood information to diverse communities. |
The BANSAM App repository contains the following directories and files: