Fires associated with land use conversion activities such as agricultural expansion, palm and pulp plantations, peat land alteration, and industrial deforestation are significant in Indonesia (Jerrod & Alex, 2015). Fires season in 2015 is one of the worst incident in Indonesia since 1997, it made Indonesia at the second position as an emitter country, at least 22 days in September 2015, and generated more than the daily average emission of U.S. economic activity. A study from the National Development Planning Agency (Bappenas) and Asian Development Bank (ADB) estimated that the amount of land affected by fires reaches 9.75 million hectares. It caused losses reached US$.4.861 or equivalent to IDR711 trillion or even more based on disruption of economic activities, transportation problems, and health problems. Head of Data Information and Public Relations of National Disaster Management Agency (BNPB), Sutopo Purwo Nugroho, said the economic impact of smog disasters occurring in several provinces in Indonesia in 2015 could exceed 20 trillion per province. The most widespread forest fire area occurred in South Sumatra Province. BNPB released that during 2015 in South Sumatera Province has 35.008 hotspots and the burnt area is 641.964 Ha. The most affected area is in Ogan Komering Ilir Regency. Landsat 8 OLI TIRS has a 30-meter spatial resolution for each band except TIRS band and panchromatic band (USGS, 2016). TIRS band has a 100-meter spatial resolution but are resampled to 30-meter that can be used to identify burned scars area. By using SWIR bands (TM bands 5 and 7 in Landsat 5 and 7 systems) as a NBR (Normalized burn ratio) composite, can be used to detecting and mapping burnt area. TIRS algorithm which was used to detect fire will be seen red and SWIR which was used to detect water stress in vegetation and burned vegetation will be seen green, both of them will become darker when burn happened. This method modifying dNBR (pre-NBR – post-NBR) composite, which only can be used in oil palm plantations area that has same commodities, so can be used in various type of landuse especially the area that has plantation adjoin with forest area.

Curah hujan merupakan unsur iklim yang sangat bervariasi, baik dalam skala ruang maupun waktu. Variasi curah hujan ini akan berdampak pada penentuan awal masa tanam khususnya tanaman padi. Melalui penghitungan statistik dan pemetaan data spasial, penelitian ini akan mengungkapkan pola awal musim tanam sebagai respon terhadap variabilitas curah hujan di Kabupaten Kebumen selama periode tiga puluh tahun, yaitu tahun 1981 – 2010. Analisis spasial yang diperkuat dengan pendekatan statistik mengungkapkan bahwa wilayah pesisir di Kabupaten Kebumen memiliki variabilitas curah hujan yang tinggi dengan rata-rata curah hujan rendah. Semakin tinggi tempat, variabilitas curah hujannya menurun diikuti rata-rata curah hujan tinggi. Selain itu, awal musim tanam padi dimulai pada wilayah dengan variabilitas curah hujan yang rendah (perbukitan) menuju wilayah variabilitas curah hujan tinggi (pesisir). Pada periode 1981 – 2000, awal musim tanam padi dimulai dari utara dan secara berkala menuju selatan Kabupaten Kebumen. Sedangkan pada periode 2001 – 2010, awal musim tanam padi dimulai dari barat laut dan secara berkala menuju tenggara dan selatan Kabupaten Kebumen.

The Medical Geographic Information System (Medical GIS) application during the COVID-19 pandemic crisis has become influential in communicating disease surveillance for health practitioners and society. The Johns Hopkins University has extensively used a well-known Web-GIS dashboard to track the COVID-19 cases since January 22 and illustrates the location and number of confirmed COVID-19 cases. Unfortunately, the dashboard particularly for Indonesian cases is only represented by one point (dot map) placed on the centroid of the Indonesian archipelago. Further research can fill the gap in downscaling the geographical location data of COVID-19 cases to the cities or even the village level in Indonesia and communicating the susceptible zoning to society. We uplift the point COVID-19 cases data to susceptible zoning gathered from official COVID-19 government websites, process it using Geographic Information System analysis, and communicate it to society through a Web-GIS dashboard. Five datasets, i.e., population data, administrative boundary, Landsat 8 OLI satellite imagery, COVID-19 cases geographic location, transportation infrastructure, and crowded places location, are used to analyze the susceptible area. Due to different standard data sources from each province in Indonesia, we only present provinces in Java Island with complete COVID-19 cases data on villages-scale. The technical challenges and future improvement in developing the national dashboard of Web-GIS-based susceptibility dashboard are also discussed. The dashboard information would further add some essential information for society to explore their zone status in adapting to the "New Normal" using the SICOVID-19 dashboard from their computers or gadgets during the pandemic crisis.

In July 2018 the movement of the wind from Australia to the Indian Ocean gives the impact on season transition from rainy to dry season. As the result, the wave becomes so much higher than normal condition as it hits the coastal area as well as in the southern part of Yogyakarta Special Province where is directly bordered with the Indian Ocean. Some impacted areas are popular tourism spots like Parangtritis Beach. The wave wrecks several shops along the beach owned by the local people. The majority of damaged objects are semi-permanent buildings constructed by traditional bamboo and timber. Moreover the tourism activity has been warned due to the dangerous condition. The advancement of technology becomes one of popular issues including the increasing of online social media usage. Internet and gadgets such as smartphone are recently the part of people lifestyle. The nowadays people prefer to access anything online through their smartphone including to find the news on the website or social media such as Twitter. One of interested news is about disaster particularly in recognizable places as well as about tidal wave disaster in Parangtritis Beach. This study aims to investigate the advantages of Twitter contents related to the tidal wave in Parangtritis Beach on people response about the disaster and the beach. The analysis applies sentiment analysis theory. Furthermore the data being collected in this research is online from Twitter accounts that has divided into three phases of disaster (before tidal wave, during tidal wave, and after tidal wave).

Experts from various perspectives have widely reviewed the patterns, processes, reasons, and impacts of paddy field conversion. However, most of these reviews tend to understand paddy fields from the physical-material dimension. By using the perspective of contemporary geography, this paper provides a critical conceptual overview of the conversion of paddy fields through the elaboration of human-nature dialectic as a central theme in the discipline of geography. The dialectic also contains identity, spatial awareness, and spatial-symbolic order issues that affect the existence of farmers and their paddy fields. This critical review results in the argument that the relationship between farmers and paddy fields represents a spatial-symbolic order that contains values, enthusiasm, identity, and living traditions. The identity and existence of farmers are part of the existence of paddy fields. Paddy fields have become part of the minds and consciousness of the farmers. The conversion of paddy fields will reduce the eco-cultural relations in this order and replace it with a capitalistic system.Keywords: contemporary geography, human-nature dialectic, paddy field conversion, spatial-symbolic order, sustainable agriculture