Mapping spatial drivers of rice productivity: A case study of Inpari 36 and 37 in West Java with BYM2-INLA

West Java is one of Indonesia’s largest rice-producing provinces. However, rice production has declined by 23.07% since 2018 due to land conversion. Therefore, this study investigates the factors influencing rice productivity by modeling and mapping the productivity of Inpari 36 and Inpari 37 rice varieties using the Besag York Mollié 2 (BYM2) spatial model with Integrated Nested Laplace Approximation (INLA) inference. The response variable was rice productivity in 27 districts/cities in West Java, with explanatory variables including plant-disrupting organisms, pest-resistant organisms, altitude, average temperature, number of village unit cooperatives, number of tillers, and plant height. The results indicated significant spatial patterns, with the number of tillers and plant height positively affecting both varieties. Additionally, the number of village unit cooperatives had a significant effect on Inpari 36. These findings provide spatial-based recommendations for improving rice productivity and food security policies in West Java.