Pandemi Covid-19 telah menyebar sejak ditemukan kasus pertama di Indonesia pada tahun 2020 dan memberikan pengaruh disegala aspek kehidupan diseluruh dunia, termasuk industri konstruksi. Pemerintah mengeluarkan aturan mengenai Pembatasan Sosial Berskala Besar (PSBB) sehingga membatasi pekerja konstruksi untuk beraktifitas diluar rumah. Hal ini memberikan dampak yang signifikan terhadap pekerjaan konstruksi. Tujuan penelitian ini yaitu untuk mengetahui seberapa besar pengaruh Pandemi Covid-19 terhadap proyek konstruksi, baik dampak terhadap proyek atau personil.  Metode yang digunakan pada penelitian ini yaitu metode kuantitatif deskriptif dengan menggunakan pendekatan analisis data sekunder, yaitu dengan menyebarkan kuisioner kepada sejumlah responden, untuk kemudian dihitung persentase dari jawaban tiap responden. Berdasarkan hasil penelitian, diketahui bahwa dampak Covid-19 terhadap pekerjaan konstruksi yaitu 78,9% proyek konstruksi mengalami penundaan. Alasan utama adanya penundaan disebabkan oleh pendanaan yang terbatas dan pemberlakuan PSBB (Pembatasan Sosial Berskala Besar) dengan masing-masing persentase sebesar 53,8% dan 29,6%. Selain itu, dampak pada para personil yaitu aktifitas menjadi terbatas (64,22%) dan komunikasi menjadi tidak lancar (24,77%).

One of the major benefits of the air transport services operating in bigger countries is the fact that they provide a vital social economic linkage. This study is an attempt to establish the determinants of the passenger air traffic in Indonesia. The main objective of the study is to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of panel data and to determine the economic variables that affect the number of airline passengers using the econometrics model of projection with an emphasis on the use of time series data. This research also predicts the upcoming number of air traffic passenger until 2030. Air transportation and the economic activity in a country are interdependent. This work first uses the data at the country level and then at the selected airport level for review. The methodology used in this study has adopted the study for both normal regression and panel data regression techniques. Once all these steps are performed, the final equation is taken up for the forecast of the passenger inflow data in the Indonesian airports. To forecast the same, the forecasted numbers of the GDP (Gross Domestic Product) and population (independent variables were chosen as a part of the literature review exercise) are used. The result of this study shows the GDP per capita have significant related to a number of passengers which the elasticity 2.23 (time-series data) and 1.889 for panel data. The exchange rate variable is unrelated to a number of passengers as shown in the value of elasticity. In addition, the total of population gives small value for the elasticity. Moreover, the number of passengers is also affected by the dummy variable (deregulation). With three scenarios: low, medium and high for GDP per capita, the percentage of growth for total number of air traffic passenger from the year 2015 to 2030 is 199.3%, 205.7%, and 320.9% respectively.

Peningkatan jumlah lahan kritis di Indonesia saat ini makin meningkat, tak terkecuali pada daerah Kota Palembang. Peningkatan lahan kritis mengakibatkan berkurangnya volume limpasan air. Perubahan penggunaan lahan di Daerah Aliran Sungai adalah salah satu penyebab meningkatnya lahan kritis. Hal inilah yang memicu timbulnya berbagai permasalahan seperti banjir dan kekeringan. Tujuan dari penelitian ini yaitu mengetahui besaran debit dengan menggunakan metode Hidrograf Satuan Sintetik (HSS) SCS. Perhitungan dengan metode HSS SCS ini diharapkan nantinya dapat memberikan informasi mengenai jumlah debit tertinggi sehingga dapat dicari solusi tepat untuk mengurangi permasalah banjir di Kota Palembang. Hasil penelitian menujukkan bahwa Palembang memiliki curah hujan yang cukup tinggi. Curah hujan yang tinggi ini harus diantisipasi dengan sarana dan prasarana yang baik agar Kota Palembang terhindar dari banjir. Pembangunan system drainase, perawatan system drainase yang telah ada, dan jumlah sumur resapan harus lebih dimaksimalkan. Kenyataan menunjukkan bahwa saat ini fungsi drainase di Kota Palembang sangat tidak optimal, banyak drainase yang tidak berfungsi dengan baik, banyak yang tertimbun, bahkan banyak daerah yang tidak memiliki system drainase sama sekali.

Rainfall in Indonesia is classified as high, indicated by the average which ranges from 2000-4000 mm/year. This potential, on the other hand, often creates problems as a result of rain falling to the surface which usually only becomes surface runoff, inundation, and flooding. Infiltration wells are rainwater conservation technologies that have been widely applied to reduce surface runoff and at the same time increase groundwater reserves. The case study was conducted at the Sriwijaya State Polytechnic Campus, Indonesia. The purpose of this study was to determine the model of infiltration wells for controlling rainwater runoff which is suitable to be applied in the research area. Based on field testing using a doublering infiltrometer, the infiltration capacity value obtained was 3.42 cm/hour. The infiltration well model used in this case is a cylindrical type of impermeable wall, with a diameter of 1 -1.4 m and a depth of 1.5 -2.5 m. The simulation was carried out per 100 m 2 rainfed area (roof of the building) for one infiltration well by referring to daily rainfall data for 12 years (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). The simulation results show that infiltration wells with a diameter (1.2 -1.4 m) and depth (2.5 m) were able to reduce rainwater runoff by 68.3% and occurred 1163 times overflow for 12 years. The simulation also revealed that increasing the diameter was more effective in increasing the amount of rainwater runoff reduced than increasing the depth of the infiltration well.

Forecasting using the economic factor as indicators seems significant related. The experts also suggest predict the number of traffic in transport by approaching the econometric models. This paper predicting the upcoming number of air freight until 2030. The result shows GDP is significant related to number of air freight. However, the economic crisis also contributes to decreasing the value. Also, the Covid-19 impact the economic in the country. Predicting the number of air freight in 2020 is going down. The number seems gradually grow after two years and assume the pandemic is over soon