Indonesia’s smallholder dairy sector faces persistent challenges in raw milk hygiene, microbial safety, quality consistency, and processing stability. In Central Java, including Semarang, milk is mostly produced by small-scale farmers under tropical conditions, often without adequate cooling, rapid transport, or hygienic milk-contact surfaces. Total plate counts frequently exceed national standards, accelerating spoilage, lowering processing yields, and causing high rejection rates during hotter months, undermining food safety, cooperative efficiency, and smallholder income.
Processing challenges compound these losses. High microbial loads reduce pasteurization safety margins and destabilize fermented products such as yogurt and fresh cheese. Inconsistent starter performance, contamination during handling, and temperature fluctuations result in short shelf life (often less than 5-7 days), post-acidification defects, and variable texture. Yield variability limits cooperatives’ ability to scale higher-value products and weakens competitiveness. Women engaged in milk handling and rural youth often have limited access to training, infrastructure, and innovation, reinforcing inequalities and highlighting the need for a Leave No One Behind (LNOB) approach.
The SAFE-ID project supports a long-lasting shift in Indonesian smallholder dairy systems by improving hygiene, processing stability, and data-informed quality management. By reducing spoilage, strengthening milk safety, and promoting climate-resilient practices, it enables farmers and cooperatives to deliver higher-quality milk and dairy products despite tropical and infrastructure constraints. It directly contributes toSDG2, SDG12 and SDG9, and links to SDG3, SDG13 and SDG5. Through a Leave No One Behind approach, SAFE-ID promotes equitable access for women and rural youth to training, infrastructure, and innovation, strengthening inclusive participation and economic empowerment.
Impact occurs at multiple levels. Farmers gain practical tools to increase milk value and reduce losses. Cooperatives and processors benefit from more stable, standardized quality systems, improving competitiveness. Consumers access safer dairy products, while validated practices will inform provincial guidelines and extension programmes, enabling scale-up beyond pilot sites.
By embedding predictive modelling, antimicrobial surface strategies, and processing standardization within university laboratories, teaching farms, and cooperative networks, solutions remain locally grounded and institutionally anchored. Collaboration between universities, cooperatives, industry, and governmental bodies supports sustained innovation, safer food systems, stronger rural livelihoods, and more resilient dairy value chains aligned with Agenda 2030.
The SAFE-ID project integrates experimental research, predictive modelling, doctoral training, and structured stakeholder engagement to improve milk hygiene, safety, and processing stability in Indonesian smallholder dairy systems. Two complementary PhDs form the scientific/technological backbone, jointly addressing microbial contamination and physicochemical variability as interconnected drivers of quality loss.
PhD1 (KU Leuven - UNIMUS) "Development of Antimicrobial Milk-Contact Surfaces and Predictive Models to Improve Raw Milk Safety in Tropical Smallholder Dairy Systems" develops chitosan-based antimicrobial and anti-biofilm milk-contact surfaces, and models microbial (de-)contamination dynamics under tropical conditions. Work includes biofilm assays, microbial growth/inactivation kinetics, contamination pathway mapping, and hygiene protocol evaluation.
- PhD2 (KU Leuven - UNDIP) "Improving Dairy Processing Stability through Experimental Dairy Science and Predictive Process Modelling in Tropical Climate" analyses raw milk physicochemical variability and its impact on pasteurization, fermentation, coagulation, and shelf-life. Controlled processing trials generate datasets to model processing performance enabling model based optimization.
