Lampung Province is one of provinces in Indonesia which has a huge agriculture potential. Lampung’s sectoral contribution to gross domestic product (GDP) is predominantly from agriculture sector which makes up to 30% of the total Lampung GDP in 2017. The high agricultural contribution supports Lampung to surpass national economic growth in 2011 – 2017. Lampung is one of Indonesia’s major producer of a wide variety of agricultural products and commodities which include palm oil, cassava, rice, and chili pepper. However, the agriculture potential is not managed properly, thus agriculture sector shows a declining trend on Lampung regional GDP. This research aims to determine zonation of agropolitan area to promote agriculture development in Lampung Province. We use quantitative method by retrieving secondary data of GDP, agriculture commodities, and road map derived from Statistics of Lampung Province and Open Street Map (OSM) respectively. Analysis of the GDP data using Location Quotient (LQ) and Krugman Specialization Index (SI), and analysis of agropolitan zonation using geographic information system (GIS). The result indicates that agriculture development using agropolitan zonation is strongly affected by the percentage of agriculture shares on GDP and the distribution of road network across Lampung Province.

Sangiran Site is dominated by rainfed field. Climate parameters, especially rain intensity affects crop patterns. Farmers strongly depend on rain intensity to support productivity thus they need climate-based crop patterns. Sangiran Site is prone to drought hazard since the region has a limited access to groundwater, which is henced by deep well in the region. Drought becomes the main threat to agriculture within Sangiran. This study aims to analyse meteorological drought and crop pattern determination using the SPI and the Oldeman classification respectively. Rainfall data is derived from multi temporal CHIRPS data. A monthly time series with thirty consecutive years (1988–2017) was used to calculate the annual SPI. The annual SPI help to determine crop patterns which is suitable for the region. The results of the study show that angiran Site has monsoonal rainfall with one peak of dry season, and one peak of wet season. Rainfed field is at the highest risk when drought lasts for above four months. Climate based crop patterns with the Oldeman classification indicate that Sangiran Site is classified into type C2 which is adequate for two times palawija crops and one time paddy crops.

Yogyakarta urban area has increased significantly for the past ten years and altered ecological features, such as inducing urban heat island (UHI). Our objectives are examining UHI characteristics in Yogyakarta urban with atmospheric variables which include air temperature and relative humidity and analyzing the UHI distribution using the LCZ method. This study uses the LCZ classification to spatially compare thermal characteristic and explain how land use and building geometry affect UHI. The system comprises 17 standard classes at the local scale, using quantitative approach which includes numerical data, such as aspect ratio, building heights, and street canyons to support the classification system. Three LCZ classes found in Yogyakarta urban area are LCZ 3, LCZ 5, and LCZ 6. The LCZ variables which affect temperature and relative humidity are building heights, width of street canyons, and land use. The biggest thermal difference is ΔLCZ3-LCZ5 and ΔLCZ3-LCZ6, which happened during 08.00 – 12.00 and 16.00 – 20.00. Small UHI magnitude (< 2K) is affected by small difference in morphology and fabric. Medium UHI magnitude (2 – 5K) is mostly caused by large difference in fabric and small difference in morphology. In the future, the LCZ should be widely applied for urban planning regarding climatic mitigation.