Integrasi Data Lapangan dan Citizen Science dalam Sistem Informasi Keanekaragaman Hayati Tropis Berbasis Spasial

Tommy Bustomi, Pitrasacha Adytia

Abstract


ABSTRAK 


Monitoring keanekaragaman hayati di wilayah tropis sering terkendala oleh keterbatasan survei lapangan dan fragmentasi data. Penelitian ini mengembangkan sistem informasi spasial yang mengintegrasikan data lapangan melalui aplikasi Android, data citizen science dari iNaturalist, serta indikator lingkungan berupa NDVI (Normalized Difference Vegetation Index) dan tutupan lahan. Integrasi dilakukan dengan basis data spasial dan mekanisme ETL untuk normalisasi, validasi, serta spatial join dengan data raster.


Hasil implementasi menunjukkan bahwa sistem mampu menampilkan distribusi biodiversitas secara terintegrasi dalam peta interaktif. Meskipun data citizen science memberikan kontribusi signifikan, tantangan masih ditemukan pada aspek kualitas data, bias partisipasi, dan perlindungan spesies sensitif. Dengan pendekatan metodologis yang tepat, sistem ini berpotensi menjadi alat pendukung monitoring biodiversitas dan perencanaan konservasi berbasis data.


Kata kunci: biodiversitas, citizen science, iNaturalist, NDVI, sistem informasi spasial, Google Earth Engine.


ABSTRACT 


Biodiversity monitoring in tropical regions is often constrained by limited field survey coverage and fragmented data. This study develops a spatial information system that integrates field data collected through an Android application, citizen science contributions from iNaturalist, and environmental indicators such as the Normalized Difference Vegetation Index (NDVI) and land cover. The integration process employs a spatial database and ETL mechanisms for data normalization, quality validation, and spatial joins with raster data.


The implementation results demonstrate that the system is capable of displaying biodiversity distribution in an integrated interactive map. Although citizen science data provide significant contributions, challenges remain in terms of data quality, participation bias, and the protection of sensitive species. With appropriate methodological approaches, this system has the potential to serve as a supporting tool for biodiversity monitoring and data-driven conservation planning.


Keywords: biodiversity, citizen science, iNaturalist, NDVI, spatial information system, Google Earth Engine.


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References


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Published by:

Fakultas Teknik

Universitas Mulawarman

Jalan Sambaliung No. 9 Sempaja Selatan

Kec. Sempaja, Kota Samarinda, Kalimantan Timur

Kode Post. 75117