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Jurusan Teknik Sipil Fakultas Teknik Universitas Riau
Mechanical Engineering

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KAJIAN RENCANA ANGGARAN BIAYA (RAB) UNTUK NORMALISASI SUNGAI MENDOL KECAMATAN KUALA KAMPAR KABUPATEN PELALAWAN Nurdin -; Imam Suprayogi; Bochari -
Jurnal APTEK Vol. 4 No. 1 (2012): APLIKASI TEKNOLOGI
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.085 KB) | DOI: 10.30606/aptk.v4i1.52

Abstract

The aim of this research was analyze cost estimation budgeting for river normalization of length 6 kms atau 6000 m from River Mouth of Mendol, Kuala Kampar Residence, Pelalawan District, Riau Province. Method was used used to analyze bad level design of Mendol River using Linearly Method Software’s Excel 7.0. The result of this research prove that bad level design of Mendol River from upstream to downstream (river mouth) is 0.07% and cost estimation budgeting is Rp.614.841.965.
PREDIKSI KETERSEDIAAN AIR SEBUAH DAERAH ALIRAN SUNGAI MENGGUNAKAN PENDEKATAN MODEL RAINRUN Imam Suprayogi; Manyuk Fauzi; Bochari -; Resty Agesti Handayani
Jurnal APTEK Vol. 4 No. 2 (2012): APLIKASI TEKNOLOGI
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.104 KB) | DOI: 10.30606/aptk.v4i2.60

Abstract

Dependable flow analysis is often difficult to predict, because influenced by natural phenomena and there are have variability of space and time. In analysis dependable flow especially the Sumatera region, usual model is used is Mock Model . However the level of reliability and accuracy have not been fully answered than the prediction of dependable flow. So it needs to be tested using a model that other rainfall-run off.The model approach used in this study is RainRun, that to predict dependable flow for applied on Sumatera region. Data is used to apply of RainRun model is Indragiri Basin for the years 1995 to 1999 are rainfall, climatological and measured discharge.The result study showed that the RainRun model to Indragiri Basin in calibration phase Root Mean Square Error (RMSE) value respectively 1,327% and verification obtained RMSE value respectively 2,811 %. Where as Mock watershed model for same Basin in calibration phase RMSE value 5,298% and the verification phase is obtained RMSE value 13,760 %. The results of comparative models RainRun and models Mock by using statistical parameter RMSE test RainRun models showed a lower error rate than the model of Mock.
Co-Authors Fauzi, Manyuk Imam Suprayogi Nurdin Nurdin Resty Agesti Handayani