Assets, Logistics, and Business (ALB)
Decisions in boardrooms shape the future of the business itself. Spatial-data-driven decisions are needed to guide businesses toward stability and resilience by optimizing asset allocation, enhancing logistics strategies, and building growth where it’s needed most
Business Asset and Logistics Optimization
Customer Segments Analytics
Marketing Optimization
Where a business is located can make or break its success. Using geospatial analytics, we identify prime locations based on market trends, demographics, and accessibility. By analyzing asset distribution and optimizing logistics networks, we help businesses streamline operations and enhance supply chain efficiency. This empowers businesses to expand strategically and reach customers effectively, driving growth and innovation.
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Kajian pemodelan spasial risiko malaria di Indonesia menggunakan pendekatan machine learning dan deep learning berbasis data lingkungan dan sosioekonomi. Analisis ini menyoroti wilayah berisiko tinggi, ketimpangan akses layanan kesehatan, serta prioritas penanganan malaria berbasis data spasial.
Analisis geospasial mendalam untuk menelusuri sumber paparan radiasi Cs-137 di kawasan industri Cikande, Banten. Kajian ini mengungkap hubungan antara aktivitas industri, faktor lingkungan, dan dampak sosial, menggunakan pendekatan GeoForensics berbasis data spasial dan machine learning.
Yayasan Bambu Lingkungan Lestari (YBLL) bersama GISACT dan mitra strategis menyelenggarakan Temu Mitra Energi Terbarukan di Labuan Bajo. Acara ini membahas pengembangan energi biomassa bambu berbasis data spasial untuk menghadirkan solusi energi bersih, restorasi lingkungan, dan pemberdayaan ekonomi lokal di Nusa Tenggara Timur.