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INESIK (Inovasi Pertanian Kedelai Berbasis Model Prediktif dan Teknologi Informasi untuk Mendukung Ekonomi Sirkular)
A soybean-agriculture information platform connecting predictive insight, research knowledge, and circular-economy goals.
01 / The brief
INESIK turns a multidisciplinary agriculture initiative into a coherent digital platform. It connects predictive-model outputs with practical information so research around soybean production and circular-economy opportunities can be explored through one accessible system.
02 / Build log
Context
Predictive results are valuable only when people can understand them in context. The project needed to connect model-driven information, agricultural knowledge, and a broad sustainability narrative without overwhelming the user.
Response
A modular Laravel architecture was used to organize research content and expose predictive insight through a consistent interface. The experience prioritizes readable hierarchy and reusable content blocks for future expansion.
Impact
The live platform gives the INESIK initiative a central digital home and makes its combination of technology, soybean agriculture, and circular-economy thinking easier to communicate.
03 / Toolkit
Technology was chosen around the job: fast interaction, clear information, and a codebase that remains practical to extend.
04 / Visual system
A closer view of the product surface, presented without copying the reference layout.
05 / Contribution
A concise record of the decisions, systems, and delivery work behind the final product.
Integrated predictive-model context into a web information flow
↗Built reusable Laravel modules for research content
↗Created a clear hierarchy for multidisciplinary information
↗Established a scalable public-facing platform for the initiative
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