Lestari is an application for wildlife data collection. In this application only authorized users can collect data. The wildlife data collected in this application is confidential but can be obtained with the approval of the authorized party.

As the lead developer and designer of Lestari, I was responsible for building a secure and efficient digital ecosystem for wildlife data collection. The project was initiated to support conservation teams in documenting biodiversity more accurately while maintaining the confidentiality of sensitive ecological information.

My role involved conducting requirement analysis with conservation researchers and field data collectors to understand their operational challenges. I then designed the application flow and data structure to ensure that only verified and authorized users could collect and access wildlife data.

From a technical perspective, I developed a cross-platform mobile application using React Native integrated with Next.js as the web-based management dashboard. The backend services were built using Express.js and Node.js, connected to a PostgreSQL database with a secure access control system. I also implemented Google Maps API for real-time location tracking and mapping of wildlife observation points.

The system emphasizes data integrity, privacy, and usability—allowing conservationists to collect field data efficiently even in remote areas while maintaining centralized monitoring and approval through an administrative web portal.

Through Lestari, I aimed to create a reliable and ethical digital tool that bridges technology with wildlife conservation efforts, promoting data-driven decision-making in environmental protection.