Permasalahan banjir di kawasan pemukiman padat penduduk merupakan permasalahan yang sering terjadi di wilayah perkotaan. Salah satu contohnya adalah banjir yang sering terjadi pada perumahan Kencana Damai yang terletak pada Kecamatan Sako, Kelurahan Sukamaju, Kota Palembang. Setiap musim penghujan, genangan atau banjir sering terjadi dengan durasi 2-3 jam. Penelitian ini digunakan untuk mengetahui kapasitas infiltrasi dan mengetahui seberapa besar efektivitas LRB dalam meningkatkan laju infiltrasi. Dalam pembuatan lubang biopori, diberikan jarak 60 cm (50-100 cm) karena disesuaikan dengan luas lahan yang terbatas. Lubang yang dibuat memiliki kedalaman sekitar 1 m dengan diameter lubang sebesar 4 inch. Kemudian dimasukkan sampah daun kering, dan pengukuran laju infiltrasi dilakukan setelah sampah terdekomposisi selama 7 hari, 14 hari, dan 28 hari. Berdasarkan penelitian yang dilakukan, diketahui bahwa sifat fisik dan jenis tanah pada lokasi 1 dan 3 sama yaitu SW (pasir bergradasi baik), sedangkan pada lokasi 2 memiliki jenis tanah SP (pasir bergradasi jelek). Sifat fisik dan jenis tanah ini mempengaruhi kapasitas infiltrasi. Hal ini dibuktikan dengan kenaikan laju infiltrasi yang besar pada lokasi 1 dan 3 (SW) yaitu 15,588 cm/jam atau 57,86% dan 14,971 cm/jam atau 55,57%. Berbeda dengan laju infiltrasi lokasi 2 dengan jenis tanah SP (pasir bergradasi jelek), kenaikan laju infiltrasi pada lokasi tersebut hanya sebesar 4,435 cm/jam atau 16,46%.

Muara Enim road segment SP. Sugihwaras very potential to occur landslide based on its location which is on the edge of the river. Recorded by the National Road Implementation Institute (BBPJN) III has been a slope grid in 2014. Slope improvement efforts undertaken by the Ministry of Public Works using a combination of gabion not too successfully overcome the problem. In addition to the strength element of a construction work, the cost and timing of the implementation are also important considerations in planning. Slope at 173 + 535-Km 173 + 705 along 170 m using soil nailing planned three nails with 19 mm nail diameter and angular slope of 20 o with variation of nail length, nail installation spacing, safety factor (SF) and estimated working time to the cost. Using the SPSS.16.0 program, the variations are modeled by nine samples as multiple linear regression equations. Based on the SPSS output, then tested the classical assumption and feasibility test model which produced the model: Cost (million) =-3159,475-54,097 length-1354,256 distance + 5188,127 SF + 26,483 time. The Budget Plan (RAB) covers preparatory work, drainage system, soil nailing, and shotcrete. An efficient cost estimate of 8 m length nail, 1.5m installation distance, 1.5 safety factor and 64-day working time resulted in a cost of Rp. 3.853.485.500,00 (Three billion eight hundred fifty three million four hundred eighty five thousand rupiah).

No abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region

Rainwater harvesting system (RWH) implementation may be a solution to maximize the water availability and reduce the runoff volume in Palembang City. For successful implementation, it is necessary to identify potential areas for RWH implementation. This study aims to identify areas in Palembang that are potential for implementing the RWH system. An analysis of parameters that affect the classification also conducted. This study used a geographic information system (GIS) approach using rainfall, slope, land use, and soil type parameters which are structured in a hierarchy using the analytical hierarchy process (AHP). Based on the weighted overlay method, it can be concluded that  a very potential area for RWH implementation dominated with a wet area, flat slope, dense residential area and the type of soil which is not susceptible to infiltration. Whereas the medium and non-potential areas are dominated by steep and very steep slopes as well as unoccupied land use. Areas of high potential and potential reach 18.17% and 66.14% respectively. While the medium and not the potential is 13.66% and 2.03%. Areas of great potential are in the Buah, Kidul, Sekanak, Sriguna, Bendung, and Selinca Sub Watershed. Non-potential areas are only available in small area in DAS Gandus, Gasing, and Lambidaro Sub Watershed.