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PERHITUNGAN DEBIT BANJIR SUNGAI CIPINANG DAN SUNGAI SUNTER PADA BERBAGAI PERIODE ULANG Ovilia, Ema Khoirunisa; Primadianti, Eri; Yatmadi, Denny
Construction and Material Journal Vol 2, No 3 (2020): CONSTRUCTION AND MATERIAL JOURNAL VOL. 2 NO. 3 NOVEMBER 2020
Publisher : Politeknik Negeri Jakarta

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Abstract

ABSTRACTIn 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.
Studi Stabilitas Tanah Ekspansif dengan Penambahan Pasir untuk Tanah Dasar Konstruksi Jalan Sutikno Sutikno; Denny Yatmadi
Jurnal Poli-Teknologi Vol. 9 No. 1 (2010)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.886 KB) | DOI: 10.32722/pt.v9i1.479

Abstract

Abstract Problems of ekspansive soil is stability (CBR) and swelling effect of process of compaction. One of the soil expansive component in general is sand beside silt and clay, added sand will make composition of clay to downhill expansive soil. With condensation process conducted by mixing of sand to ekspansive soil with addition composition equal to 10%, 20%, 30%. and 35% to dry weight of ekspansive soil. Conclusion which in earning: Level of CBR mount above ekspansive soil of genuiness come up with the condition of addition of sand counted 30% to the condition of soaked, while at addition of sand up to 35%, value of CBR (downhill stabilitation) but still above original ekspansive soil value, at addition of sand up to 35%, value of CBR (downhill stabilitation) but still above original ekspansive soil value. For the development of (ekspansive soil swelling) of ekspansive soil with addition of sand, condition of natural swelling of value and reduction isn't at addition of sand between 10 to 30% and lower at addition of sand counted 35%. There are influence of addition of sand at ekspansive soil compacted to stability (CBR) and swelling of ekspansive natural of change which are positive after mixed with sand, tired optimasi at addition of sand between 20% up to 30%. Keyword : ekspansif soil, sand, condensation, stability
PERBANDINGAN MODEL CURAH HUJAN LIMPASAN ANTARA METODE JARINGAN SYARAF TIRUAN DENGAN METODE SACRAMENTO DENNY YATMADI; NUZUL BARKAH PRIHUTOMO
Jurnal Poli-Teknologi Vol. 13 No. 1 (2014)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v13i1.604

Abstract

ABSTRACT 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.
Stability Analysis of Dike Pond Due to Pore-Water Pressure Changes Agung, P. A. Maha; Hasan, Muhammad Fathur Rouf; Yatmadi, Denny; Susilo, Adi; Sutikno; Osa, Dominggus Benyamin; Adinegara, Aldo W.; Razi, Mohd Adib Mohammad; Ahmad, Mustaffa A.; Zainorabidin, Adnan
Civil Engineering Journal Vol. 11 No. 8 (2025): August
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-08-017

Abstract

The Brigif retention pond not only serves to temporarily store rainwater for groundwater reserving but also reduces the risk of flooding in the Southern Jakarta area. Research was purposed to study two critical conditions of a dike made from clayey material from before to after water impounding stages correlating with its stability. The research will investigate pore-water pressure (u) parameter changes at any stage in both conditions. The parameter of (u) can be predicted (upre) using the laboratory consolidation or oedometer test and measured (uact) completely with hydrostatic pressure (u0) directly in the field. Actual measurements using a piezometer were also conducted on the body of the dike. The prediction analysis used the self-developed program and conventional geotechnical software. The critical peak depth of (u) was found at 3.0 to 4.0 m. The actual settlement potential values reached -0.10 to -1.42 m and matched the prediction result. Safety factor (SF) was around 2.0 to 4.0, or in stable condition. Research results found that the magnitude parameter of (u) could be influenced by groundwater flow and porosity or void ratio fluctuations. The consolidation process also would affect the physical soil pore, contributing to the change of (SF) the dike pond.