Layers Farmers Preference For Multimodal AI-IoT Early Warning Applications in Oversupply Prediction and Price Stabilization Marya Ellijah Azahra and Jaisy Aghniarahim Putritamara
Universitas Brawijaya
Abstract
The chronic structural imbalance between high daily egg production and fluctuating market demand in Indonesia triggers severe oversupply risks and extreme price volatility at the producer level, thereby highlighting a critical research gap regarding the adoption of smart digital predictive technologies in poultry agribusiness, particularly within major production centers like Blitar Regency. Consequently, this formal study aims to comprehensively analyze layer farmers^ preferences and examine the determinants shaping their behavioral intention to adopt multimodal Artificial Intelligence and Internet of Things (AI-IoT) early warning applications designed for oversupply prediction and price stabilization. Adopting a robust quantitative approach, this academic research utilizes a structured survey method to collect primary data from 110 respondents selected carefully through a modified multistage purposive sampling method across Kademangan and Srengat sub-districts in Blitar Regency. Performance Expectancy, Facilitating Conditions, Mastery-Approach Goals, and Behavioral Intention are measured precisely using a 1-5 Likert scale. Furthermore, the comprehensive analytical procedure employs Structural Equation Modeling to evaluate the measurement models, structural paths, and multi-group moderating effects based on farmers^ socio economic characteristics.
Keywords: Unified Theory of Acceptance and Use of Technology- Multimodal AI-IoT- Oversupply prediction- Price stabilization- Layer chicken eggs
