Covid-19 is a health catastrophe that is currently insurmountable. All over the world, even in Indonesia, this epidemic is getting worse. Various efforts and regulations have been made by the government, but positive cases are increasing. The purpose of this study is to describe the distribution, analyze the movement of Covid and evaluate the factors causing the spread of Covid-19 in East Luwu Regency. The research method is descriptive analysis method. The data collection technique used is by conducting interviews and literature studies by collecting data from books, news media, and previous research journals, and using GIS (Geography Information System with spatial overlay technique to produce a map of the distribution of covid-19. shows that on November 22, 2020 there were 1,648 cases of Covid-19 infection in East Luwu Regency. This has led to several local government regulations in preventing the spread of Covid-19. This discussion focuses on three factors: empathy, positive mood, and social attitude. Comments The event ended with a series of brief suggestions addressed to local governments and stakeholders involved in encouraging public compliance with regulations to prevent the spread of the Covid-19 virus through mass media communication.

The study of disaster flood area was conducted in DKI Jakarta Province, Indonesia. The aim of this research is: to study the spatial distribution of potential and actual of flood area The flood was studied from the geographic point of view using spatial approach, while the study of the location, the distribution, the depth and the duration of flooding was conducted using geomorphologic approach and emphasize on the detailed landform unit as analysis unit. In this study the landforms in DKI Jakarta have been a diversity, as well as spatial and temporal pattern of the actual and potential flood area. Landform at DKI Jakarta has been largely used as built up area for settlement and it facilities, thus affecting the distribution pattern of flooding area. The collection of the physical condition of landform in DKI Jakarta data prone were conducted through interpretation of the topographic map / RBI map and geological map. The flood data were obtained by survey and secondary data from Kimpraswil (Public Work) of DKI Jakarta Province for 3 years (1996, 2002, and 2007). Data of rainfall were obtained from BMKG and land use data were obtained from BPN DKI Jakarta. The analysis of the causal factors and distribution of flooding was made spatially and temporally using geographic information system. This study used survey method with a pragmatic approach. In this study landform as result from the analytical survey was settlement land use as result the synthetic survey. The primary data consist of landform, and the flood characteristic obtained by survey. The samples were using purposive sampling. Landform map was composed by relief, structure and material stone, and process data Landform map was overlay with flood map the flood prone area in DKI Jakarta Province in scale 1:50,000 to show. Descriptive analysis was used the spatial distribute of the flood prone area. The result of the study show that actual of flood prone area in the north, west and east of Jakarta lowland both in beach ridge, coastal alluvial plain, and alluvial plain; while the flood potential area on the slope is found flat and steep at alluvial fan, alluvial plain, beach ridge, and coastal alluvial plain in DKI Jakarta. Based on the result can be concluded that actual flood prone is not distributed on potential flood prone

The drought that occurred in Indramayu Regency was caused by a shift of the beginning season and a long dry season which affected the availability of water storage for plants. Indramayu Regency is one of the rice centers in West Java with 56% of its area is rice fields. But in recent years rice productivity has been reduced due to drought. The Indramayu District Agriculture Office noted that in 2012, 2015 and 2018 paddy fields. The purpose of this study was to determine the distribution of 2012, 2015 and 2018 wetland agricultural drought areas and their relationship with rainfall in Indramayu Regency. The VHI drought index (Vegetation Health Index) is used to determine the pattern of distribution of the drought area of agricultural land. VHI is a combination of VCI (Vegetation Condition Index) and TCI (Temperature Condition Index) derived from NDVI data processing (Normalized Difference Vegetation Index), LST (Land Surface Temperature) of Landsat 7 and 8 images. The processing results of the VHI index show the distribution of drought levels no drought to extreme drought, where in 2012, 2015 and 2018 the distribution of drought in agricultural land has the same pattern, which is dominated by the coastal areas of Indramayu Regency due to the influence of less rainfall. While the level of mild drought is in the western and center regions of Indramayu Regency.

Kota Ambon merupahkan daerah dengan kasus COVID-19 tertinggi di provinsi Maluku yaitu 435 orang terkonfirmasi positif dan yang terkonfimasi suspek 10 orang. Kasus COVID-19 di Kota Ambon dari bulan maret-desember, cenderung meningkat setiap bulannya. Jumlah penderita COVID-19 di Kota Ambon meningkat disebabkan karena wilayah tersebut merupakan wilayah dengan jumlah penduduk yang banyak dibandingkan wilayah lain, jumlah penduduk Kota Ambon saat ini yaitu 371.650 Jiwa. Penelitian ini bertujuan untuk mengetahui sebaran spasial tingkat kejadian kasus positif COVID-19 dengan metode Kernel Density di Kota Ambon  dan untuk menganalisis hubungan antara kepadatan penduduk dan jumlah kasus Positif COVID-19 di Kota Ambon. Hasil analisis pola spasial sebaran tingkat kejadian kasus Positif COVID-19 terkonsentrasi pada wilayah-wilayah tertentu mengikuti jumlah penduduk dan faktor lingkungan lain di Kota Ambon. Sebaran spasial tingkat kejadian kasus Positif COVID-19 menunjukan, kelas tertinggi terdapat disekitar 22 desa dan Kelurahan dengan luas 1420 Hektar atau 4%, kelas sedang terdapat di 8 desa dan kelurahan dengan luas 2258 atau 7%, dan kelas rendah terdapat di 29 desa dan kelurahan  dengan luas 28877 atau 89%. Hubungan kepadatan penduduk dengan jumlah kejadian kasus Positif COVID-19 di Kota Ambon mempunyai korelasi yang  kuat dengan nilai (r) 0,620 dan mempunyai hubungan yang positif.

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