Rice production in Indonesia is facing serious problem, in which the production is fluctuated causing the unstability in the food supply. One factor influencing the rice productions is climate extreme. Here, we analysed rice production in Banten Province for 2002-2015. The objective of this reasearh was to analyse the effect of climate variability on the fluctuation of rice production in Banten. We relied on data from BPS Banten, which provided timeseries of rice production for 2002-2015. We used four statistical approaches namely linear, quadratic, exponential, and moving average models to detect trend in rice production. Our results showed that Rice Production fluctuated every year indicating an increased trend for the observartion period. Based on the trend analysis, the growth rate for rice production was 1,66% per year. Climate extreme has affected on rice production, with El Niño resulted in the decreasing on rice production, whereas La Nina caused an increased of rice production. Further, to adapt climate extreme events, the government needs to encourage farmers to join the Rice Farming Insurance (AUTP) program to protect rice farming from economic losses due to the climate extreme impacts.

Land is one of the main factors in rice production. However, the transfer of agricultural land functions to other sectors continues and becomes a challenge in the food supply in Indonesia. Serang City is one of the rice-producing areas in Banten Province. This study aims to analyze changes in the transfer of rice field functions to other sectors by mapping rice field cover using Sentinel-2 satellite imagery in 2021 compared to 2019 with the Random Forest method by using Google Earth Engine (GEE) applications and cloud computing support. The study results showed that the cover of rice fields in Serang City in 2021 decreased by 602.87 ha (-7.20%) compared to 2019 from the total land cover. Land cover in other vegetation was also reduced by 242 ha (-2.45%), while urban land cover in 2021 increased by 781.82 ha (10.89%). This study shows that there has been a change in land transfer in Serang City due to urban expansion in 3 years, as well as that the use of GEE can streamline monitoring of changes in land transfer and land use cover.   Keywords: rice field, Google Earth Engine, Sentinel-2

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The Indonesian government continues to ensure the availability of rice as a staple food through various programs, including optimization of paddy fields. Paddy field management is directed and encouraged more intensively by accelerating planting and minimizing idle land. The form of support and stimulation provided by the government to farmers is in the form of counseling and assistance, providing seed assistance, and facilitation of agricultural machinery and other facilities so that rice fields can be more intensive and productive. The study was conducted in Lebak Regency and Serang City, Banten Province from April to August 2020. Data and information were obtained through surveys and interviews with farmers, extension agents, researchers, and agricultural department officials. The research method used a systems approach based on soft systems methodology. The results of the study showed the acceleration of planting as an indicator of the optimization of wetland land in Lebak Regency and Serang City had been achieved as targeted. The role of the extension agents as a driving force was very decisive in the achievement of additional planting areas. The use of information technology, such as applications for monitoring standing crops, was very helpful for extension agents in detecting land to be planted, planting achievements, and reported data. The system of coordination and guidance between agencies and officers to accelerate planting was quite effective and efficient. Support and facilities for agricultural extension agents had to be improved to achieve accelerated planting performance.

The objective of the present study was to determine the yield and growth of soybeans using organic fertilizers enriched with microbes under dryland conditions. The research was carried out in the Pandeglang Regency of Banten Province. A randomized block design was used using 4 treatments, and 6 replications. The treatments were fertilization, namely without fertilizer (control/P1); 3 ton/ha of chicken manure (P2); 3 ton/ha of chicken manure, and recommended inorganic fertilizer (P3); 1 ton/ha of organic fertilizer enriched with microbes, and recommended inorganic fertilizer (P4). The soybean variety used was the Anjasmoro variety. The parameters observed were the length of root, the height of plant, the nodules number, root weight at age 65 days after planting (DAP), the filled pods’ number, and the soybean yield. The research results showed that the treatment of organic fertilizer enriched with microbes (P4) gave a higher growth response based on the value of the height of the plant, the length of root, the number of nodules, and the number of filled pods, compared to other treatments. It increased soybean yield from 1.58 ton/ha up to 2.61 ton/ha.