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.

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.

Intisari Akhir tahun 2019 menjadi awal dari menyebarnya Coronavirus Diseases 2019 (Covid-19) ke seluruh dunia. Virus ini pertama kali ditemukan di Wuhan, Cina karena banyaknya pasien dengan gejala pneumonia, yang diduga berasal dari pasar seafood di Wuhan. Sejak tanggal 2 Maret 2020, kasus Covid-19 pertama kali terkonfirmasi di Provinsi DKI Jakarta, dan menjadi kasus pertama di Indonesia. Hingga bulan Desember 2020, kasus positif  Covid-19 terus mengalami kenaikan. Banyak penelitian dilakukan untuk mengetahui sifat virus, transmisi, dan faktor-faktor yang mempengaruhi transmisinya, salah satunya adalah faktor meteorologi. Hasil penelitian di Cina dan Iran yang merupakan negara sub tropis menunjukkan bahwa unsur temperatur dan kelembaban relatif memiliki kaitan dengan penambahan jumlah kasus positif. Begitu juga hasil penelitian di Brazil yang merupakan negara tropis menunjukkan bahwa terdapat korelasi negatif antara intensitas radiasi matahari dengan kasus positif. Di Indonesia, penelitian mengenai pengaruh faktor meteorologi terhadap transmisi Covid-19 belum banyak dilakukan. Penelitian ini bertujuan untuk mengkaji transmisi Covid-19 di Provinsi DKI Jakarta dari sudut pandang meteorologi. Hasil kajian dari data selama 6 bulan menunjukkan bahwa tidak terdapat pengaruh antara unsur-unsur meteorologi dengan transimisi Covid-19 di Provinsi DKI Jakarta. Distribusi spasial kenaikan kasus harian tidak mengikuti pola perubahan angin, dan nilai koefisien korelasi Pearson untuk unsur kelembaban, temperatur, dan intensitas radiasi matahari memiliki nilai yang sangat kecil.   Abstract The end of 2019 was the beginning of Coronavirus 2019 (Covid-19) spread throughout the world. This virus was first discovered in Wuhan, China, where many patients showed symptoms of pneumonia and are thought to have originated in a seafood market in Wuhan. Since March 2, 2020, the first positive patient was confirmed in DKI Jakarta and became the first case in Indonesia. Until December 2020, positive cases of Covid-19 continued increasing. Many studies have been carried out to find the virus behaviors, transmission, and the factors that influence the transmission, one of which is meteorological factors. Research in China and Iran, which are subtropical countries, shows that temperature and relative humidity strongly correlate with the increasing number of positive cases. Likewise, the research results in Brazil, which is a tropical country, show a negative correlation of solar radiation to positive cases. In Indonesia, research on the influence of meteorological factors on the transmission of Covid-19 has not been widely carried out. This study aims to examine the transmission of Covid-19 in DKI Jakarta from a meteorological perspective. The study results from 6 months of data show no significant influence between meteorological elements and the Covid-19 transmission in DKI Jakarta. The spatial distribution of daily rate increases does not follow the pattern of wind direction changes, and the Pearson correlation coefficient ??for temperature, temperature, and radiation has very small values.

Telukjambe Barat and Telukjambe Timur Sub-Districts, Karawang Regency, have a high flood risk level due to changes in Land Use/Land Cover and the yearly occurrence of runoff water discharge. This research aims to analyze the rate and pattern of land-use change due to industrial development, examine the correlation of flood impacts with environmental-socio-economic factors, and develop a flood risk model in industrial areas. Data were collected through methods of system dynamics, remote sensing, geographic information system, questionnaire distribution, focus group discussions, and in-depth interviews with stakeholders. The results showed that floods in this regency are due to massive inland changes, such as the transition from vegetation and water bodies to industrial and residential areas and a strong relationship between environmental-social-economic factors. In other cases, areas with urban land conversion are likely to be flood-prone zones in places such as the Philippines, Belgium, and China. Based on the correlation test that has been conducted, the relationship with the highest level of closeness is the correlation between environmental factors and the impact of flooding, which has a value of 0.791. Therefore, the disaster risk model with an integrated spatial plan approach and an ecological perspective is an option for realizing sustainable development in industrial areas in Karawang Regency.

In recent years, there has been land-use changes from the paddy field to the industrial and housing in Karawang. The proportion of paddy fields changed from 55. 35% (2009) to 54.49% (2017). Industries also attracted people to switch professions from farming to the industrial. Indicated by the decreasing number of workers in the farming, from 4,628 people (2009) to 3,744 people (2010) and increasing in the industrial, from 89,163 people (2009) to 242,896 people (2016). The purpose of study is to measure the index of farmers' sustainability status. The study uses the Multi-Dimensional Scaling method with 3 dimensions: social, economic and environmental. The results found that the economic dimension has the lowest index. The most problem in the economic dimension is the high capital for production. The social dimension showed that farmers have no re-generation. Moreover, the environment dimension showed that almost 40% of the farmers have no land, and the most critical issue to deal with are access to the irrigation to increase the rice-production.