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The rice yield gap (YG) is a global concern, requiring more detailed studies spatially and temporally. As a staple food in Indonesia, rice was produced from 7.4 Mha paddy fields in 2019. Better insight into the YG helps assess measures to boost rice production. However, the information on YG variation among regions scale is limited. This study aimed to identify the rice YG based on 295 historical trial datasets from 23 provinces in Indonesia. We surveyed published trial results from 2012 to 2022 and analyzed YGs, expressed as the percentage of farmer yield (FY). The potential yield (PY) was estimated from field trial results using introduced rice cultivation technology package, whereas FY from results using existing farmer practices. Our study showed that the average YG was 62% in rainfed, 54% in tidal, and 32% in irrigated paddy fields. The YG was significantly high in the paddy fields of Kalimantan (74%) and Maluku-Papua (49%), while the lowest was in Sulawesi (27%) and Java (31%). The YG varied significantly with geo-regions, rice varieties, and cultivation technology packages. Closing the YG and ensuring sustainable rice production requires the implementation of sustainable intensification through applying site-specific technology packages, reallocation of agricultural interventions to a higher YG region, and rice variety improvement to increase PY.

Current technological developments make it easier for users to access the information needed in handling their farming. The study's objectives are to determine the performance of the agricultural information system (AIS) service for rice commodities and the relationship of these service indicators to each other in increasing farmer capacity and rice production in Indonesia. The research was conducted in three rice center provinces, North Sumatra, South Sumatra, and Yogyakarta, from October to December 2021. The number of respondent farmers is 473 people who have obtained or applied for AIS for at least two years. Survey techniques using purposive sampling with a non-probability method with the criteria used are farmers or officials who have received information about AIS. Partial least square structural equation modeling (PLS-SEM) analysis with the help of SmartPLS v.3.2.9 software was performed to see multivariate relationships and continued by using importance performance analysis (IPA) to evaluate the performance of information system attributes. The results showed that the productive age, education level, and experience in rice farming were more than 10 years, enabling the application of AIS in Indonesia by strengthening the internet network and improving the attributes of security services, ease of application, accuracy, suitability, output interpretation, and accuracy, which will increase user loyalty. [ABSTRACT FROM AUTHOR]

Balancing water supply demand is vital for sustaining livelihoods. Spatial mapping and calculating water yield dynamics due to land use changes over decades are needed to manage land resources and formulate ecological protection policies. This study mapped the supply, demand, and matching status of water product service using the Integrated Valuation of Ecosystem Service and Tradeoff (InVEST) biophysical models in the Citarum Watershed (CW) in 2000, 2010, and 2020. Moreover, this study used Exploratory Spatial Data Analysis (ESDA) and Geographic Information System (GIS) techniques to study the agglomeration characteristics and evolutionary trajectories of supply–demand over two decades. The results showed that between 2000–2010 and 2010–2020, the water supply decreased by 19.01 × 108 m3 (18.28%) and 12.97 × 108 m3 (15.27%), respectively. However, the water demand in the same period increased by 6.17 × 108 m3 (23%) and 15.74 × 108 m3 (47%), respectively. Over the decades, the contribution of land use land cover (LULC) changes to variations in water supply has yielded values ranging from 2.87% to 6.37%. The analysis of the water supply–demand imbalance indicated that the entire CW experienced water shortage, and the type of spatial matching for supply and demand is dominated by a high supply and high demand class (16.09% of the total area). Based on the level of water deficit calculation, the upstream and downstream areas were identified as zones that require ecological conservation, while the middle CW area requires ecological restoration or ecological improvement. [ABSTRACT FROM AUTHOR]

The Deli Serdang Regency produces amongst the highest amounts of rice in the province of North Sumatera in Indonesia. Due to land use change and stagnant productivity, the total rice land area and its production have gradually decreased over the years. Hence, understanding this issue is crucial, especially to ensure the sustainability of rice production in the future. The objectives of this study were to identify the trends in land use change (especially regarding rice land) and to investigate the factors affecting rice land change. We classified the satellite images acquired for the years 1989, 1994, 2003, 2009, and 2018 to determine the total area of various land uses. The factors driving rice land change were analyzed using biophysical and socio-economic factors identified from the collected primary and secondary data. The primary data were derived from field surveys, soil analysis, and household surveys, and the secondary data were derived from the Statistical Institution of the Deli Serdang Regency. Correlation analysis, principle component analysis, binary logistic regression, normalization, and weighted index were used to investigate the factors driving rice land change. The results show that forest and rice land have continuously decreased, while plantations and urban areas have continuously increased over this period. We found that the majority of rice land has been converted to plantation expansion and urban development, especially from 2009 to 2018. The factors most affecting rice land change were the distance of rice land to the district capital, the distance of rice land to the provincial capital, population density, slope, and the distance of farmers' rice land to a road. A suitability map for rice land was generated. All the outputs could help with making appropriate strategic decisions to achieve sustainable land use management, especially for rice land. [ABSTRACT FROM AUTHOR]