Abstrak: Kondisi jalan Kampung Sugutamu yang rusak dan berlubang berpotensi menyebabkan kecelakaan, sehingga perlu dilakukan pengecoran kembali. Penggunaan beton serat dengan bahan tambah limbah potongan kawat dapat meningkatkan kinerja beton, sehingga jalan yang terbuat dari beton tidak mudah retak dan rusak. Tujuan pengabdian yaitu memberikan edukasi serta membantu masyarakat Kampung Sugutamu dalam proses perbaikan jalan . Kegiatan pengabdian masyarakat dilakukan secara gotong-royong dengan masyarakat Kampung Sugutamu RT 002, RW 021 yang berperan sebagai mitra. Peserta kegiatan meliputi masyarakat sekitar, 14 orang Dosen Teknik Sipil PNJ, dan 2 orang Mahasiswa Teknik Sipil PNJ. Evaluasi dilakukan dengan instrumen kuisioner yang dibagikan kepada masyarakat setelah kegiatan pengecoran selesai. Hasil kegiatan berupa perbaikan jalan kurang lebih sepanjang 200 m, dengan lebar 2 meter, dan tebal beton 10 cm. Secara tidak langsung masyarakat yang terlibat pengecoran, memperoleh pengetahuan baru tentang perbaikan jalan sebesar 71,4%. Selain itu kegiatan ini membantu masyarakat menghemat pengeluaran sebesar 25 juta yang meliputi pengadaan material dan sewa tukang.Abstract: The condition of the damaged and potholed Sugutamu Village road has the potential to cause an accident, so it needs to be re-casted. The use of fiber concrete with additional material of wire cut waste can improve the performance of concrete so that roads made of concrete are not easily cracked and damaged. The purpose of the service is to provide education and help the people of Kampung Sugutamu in the process of road repair. Community service activities are carried out in mutual cooperation with the people of Kampung Sugutamu RT 002, RW 021 who act as partners. The participants of the activity include the surrounding community, 14 PNJ Civil Engineering Lecturers, and 2 PNJ Civil Engineering Students. The Evaluation is carried out with a questionnaire instrument which is distributed to the community after the casting activity is completed. The results of the activity are road repairs of approximately 200 m long, 2 meters wide, and 10 cm thick concrete. Indirectly, the people involved in the foundry gained new knowledge about road repair by 71.4%. In addition, this activity helps the community to save 25 million in expenses which include material procurement and construction hire.

In the area around the Cipinang and Sunter Rivers, floods often occured due to runoff from overflowing rivers. The data and information used in this study are secondary data from related agencies, namely the Balai Besar Wilayah Sungai Ciliwung-Cisadane and BMKG. Hydrological and hydraulic analysis from existing data yield calculation results the maximum flood discharge for the Sunter River for a 2-year return period is 114.035 m³ / s and for a 100-year return period of 407.589 m3 / s and for the Cipinang River, the discharge for the 2-year return period is 113.214 m3 / s while for the 100 yearly repetition of 405,083 m3 / sec.Keywords : Cipinang River, Sunter River, Flood Flow.ABSTRAKPada daerah di sekitar Sungai Cipinang dan Sungai Sunter seringkali terjadi banjir akibat limpasan air dari sungai yang meluap. Data dan informasi yang digunakan dalam penelitian ini merupakan data sekunder yang berasal dari instansi terkait yaitu Balai Besar Wilayah Sungai Ciliwung-Cisadane dan BMKG. Metode pengolahan data menggunakan analisa hidrologi dan analisa hidrolika. Dari hasil perhitungan, didapatkan debit banjir maksimum untuk Sungai Sunter periode ulang 2 tahunan sebesar 114,035 m³/det dan untuk periode ulang 100 tahunan sebesar 407,589 m3/det dan untuk Sungai Cipinang didapatkan debit pada periode ulang 2 tahunan sebesar 113,214 m3/det sedangkan untuk periode ulang 100 tahunan sebesar 405,083 m3/det.Kata kunci : Sungai Cipinang, Sungai Sunter, Debit Banjir.

Fine-grained cohesive sediments dominate sedimentation in the lowland area. In the Density Induced Current process, where seawater intrusion occurs, the fine-grained cohesive sediment will be easily flocculated by saltwater and settles rapidly. There are complex problems related to sedimentation in the rivers of Jakarta in the downstream area, which is influenced by tides and the dominance of cohesive sediment. Due to the complex process in the estuary, salinity intrusion will affect the settling velocity. And then, the flocculation process, the river’s geometry, will also affect sediment deposition. A proper model is needed to simulate the sedimentation in this area. This study aimed to investigate the distribution of cohesive sedimentation using 3D hydrodynamic and sediment transport model called MuSed 3D. This model will be applied to the Kanal Banjir Barat (KBB) river, Jakarta. The model result shows salinity values in the range of field observations for TSS and salinity. Salinity model present from 1 till 10 ppt and TSS present from 9,8 until 14,2 ppm. This study concludes that the dispersion of sediment cohesive on river and estuary affected by Density Induced Current also depends on salinity and TSS value.

Transport of estuarine sediment have a highly complex method, which is the combined effects result of periodically reciprocating flow, ocean waves, and the electrochemical characteristic of sea water [1]. Settling velocity (SV) is such a parameter fundamental for sediment researchers so that its accurate resolution has been regarded as a top priority in correcting modelling numerical and conceptual understanding of fine sediment dynamics [2] [3]. The goal of this study is to analyze the effect of salinity levels on the settling velocity of fine sediment grains in the Ciliwung estuary, Jakarta. The method used is direct measurement using the hydrometer analysis method. The result of experiment shows salinity levels affect the settling velocity of fine sediment grains in the Ciliwung estuary. The higher salinity, more faster the settling velocity of fine sediment grains. The average settling velocity at distilled water salinity 0 ppt is 1.083 mm/minute, sea water with salinity 0.3 ppt is 1.537 mm/minute, and sea water with salinity of 0.6 ppt of 1.561 mm/minute.

The rainfall-runoff modeling is needed to fill in the data or make the data longer. Some method can be used for forecast rainfall processing or runoff like sacramento or artificial neural network (ann). The ann is one of artificial intelligent that is an artificial representation of human’s brain which always try to simulation learning process of its. This model is a black box model, so implementation did not need complect science between many aspects in rainfall-runoff happened process. The case study on the upstream of citarum river basin (saguling dam). The data used are a rainfall data (11 rain station) , inflow and sediment rate of month during 19 years from 1986 up to 2004. Rainfall data is input and inflow rate is target output. This research use sacramento and reduced gradient method. The result for training step sacramento’s method the correlation is 81 % and reduced gradient’s method the correlation is 99 %. For testing sacramento ‘s method the correlation is 83.22 % and reduced gradient’s method alternative 2 with four hidden node gives the correlation is 65.57 %. For the next step especially the artificial neural network method still need improvement so that the artificial neural network can be used for modeling of rainfall runoff process. Keywords : rainfall runoff, sacramento, artificial neural network, hidden node, reduced gradient.