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Imam Suprayogi
Jurusan Teknik Sipil Fakultas Teknik Universitas Riau
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PERUBAHAN SALINITAS DI ESTUARI MENGGUNAKAN PROGRAM BANTU DUFLOW Trilita, Minarni Nur; Suprayogi, Imam
Kern : Jurnal Ilmiah Teknik Sipil Vol 3, No 2 (2013): Jurnal Ilmiah Teknik Sipil KERN
Publisher : Kern : Jurnal Ilmiah Teknik Sipil

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Abstract

Tujuan utama dari penelitian ini adalah mendiskripsikan sejauh mana  daerah yang dipengaruhi oleh air laut balik karena pengaruh air laut pasang  maupun karena debit hulu sungai  Kali Lamong, Gresik  saat  periode musim kemarau, maka  terjadi fenomena perubahan  nilai salinitas sebagai fungsi  jarak  dan waktu menggunakan pendekatan model matematika satu dimensi program bantu Duflow. Dengan terpantaunya nilai salinitas manfaat  hasil penelitian  berguna untuk tata kelola tambak masyarakat mengurangi resiko gagal panen. Hasil utama dari penelitian dengan menggunakan hasil pengukuran data  primer di muara kali Lamong, Gresik bahwa tipe pencampuran  akibat pengaruh rambatan fluktuasi pasang air laut dengan debit dari hulu di  Kali Lamong, Gresik untuk periode musim kemarau di klasifikasikan tercampur sempurna atau well mixed hal ini ditandai dengan  nilai  < 0.1  dan   nilai E  > 0.20.  Dan sirkulasi di muara Kali Lamong tingkat keasinan air  mempunyai karakteristik cenderung    menuju kondisi agak payau saat  menuju hulu Kali Lamong.Kata kunci :  intrusi air  laut, estuari, salinitas, model matematika program Duflow
Model Hubungan Antara Tinggi Muka Air-Debit Menggunakan Pendekatan Adaptive Neuro Fuzzy Inference System (ANFIS) (Studi Kasus : Pos Duga AWLR Stasiun Pantai Cermin) Fahmi, Naufal Muhammad; Suprayogi, Imam; Fauzi, Manyuk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 1 (2017): Wisuda Februari Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Rating Curve is a equation to describe correlation between of the stage-discharge in AWLR (Automatic Water Level Recorder). This equation (formula) is important for the planning of water resources and hidrology model. The equation in AWLR on the site Pantai Cermin Surb-Watershed Siak Hulu in years of 2002-2009 is not-available because it hasn’t data of the rating curve equation based on it, This research was developed to predict the rating curve equation on the site Pantai Cermin.This Research using Matlab R2013a software as a tool with ANFIS Sugeno Model. The data in ANFIS Sugeno Model using combination between data of stage-discharge in years of 2002-2006. The output of that is the data discharge in year of 2008. Result of this research with using of these data that it consist of 70% of the training data, 30% of the testing data, and 100% of validation datais a very good of the correlation value. The correlation values of this research are 0.99999, 0.99998, and 0.99999. The equation of the rating curve in 2009 is the Q=22,279 x H1,3036 with the correlation value R=0,9999587.Keyword : Rating Curve, ANFIS, Model Sugeno, Site of Pantai Cermin.
Komparasi Model Hidrolologi Runtun Waktu Untuk Analisis Hujan - Debit Menggunakan GR4J Dan Transformasi Wavelet - GR4J (Studi Kasus : DAS Indragiri Bagian Hulu) Riady, Rony Rahmad; Fauzi, Manyuk; Suprayogi, Imam
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 1 (2017): Wisuda Februari Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

GR4J model is one of the well known rainfall-debit model analysis and have been successful in investigating the hydrology response of the various watersheds, espencially in indonesia. In this research is used as a case study locations are on Watershed (DAS) Indragiri Hulu section. This study used two methods, they are GR4J model and Wavelet-GR4J transformation combining method. This Wavelet-GR4J transformation Combining method is expected can increase the Nash -Sutcliffe Coefficient and the Correlation Coefficient. GR4J model used input data including daily rainfall data and at lubuk ramo station and daily potential evapotranspiration data which is the result of the CropWat program with climatology input data at sentajo station. The result of this model watershed by using debit data of daily observation at pulau berhalo station. In the next stage, calibration will be done in the certain year, verification in the next year, and simulation which is the combination of kalibration and verification. Simulation of Wavelet-GR4J Transformation resulted value equation Nash-Sutcliffe Coefficient of 12,740% and the Correlation Coefficient (R) of 0,378. In the process of Wavelet-GR4J Transformation combining method produced a better result then GR4J model based on the value of Nash-Sutcliffe Coefficient and Correlation Coefficient. The simulation of Wavelet-GR4J Transformation method resulted value equation Nash-Sutcliffe Coefficient of 12,805% and the Correlation Coefficient (R) of 0,380, it can be categorized “not sufficient” and “low” which mean that the GR4J model and the Wavelet-GR4J Transformation combining method can be said “not effective”Keywords: wavelet transformation, GR4J, calibration, verification, simulation.
Model Peramalan Debit Aliran Sungai Menggunakan Metode Gabungan Self Organizing Maps - Artifical Neural Network (Studi Kasus: Sungai Tapung Kiri) Tsauri, Muhammad Idraq Ibnuts; Suprayogi, Imam; Fauzi, Manyuk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 1 (2017): Wisuda Februari Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Siak river basin now in criticial condition. This condition is due to land use changes in the upper body and cause silting in the river. The silting decreasing the capacity of the river so when heavy rain occurs, tha rivers could not accomodate it and it will cause flooding. The flood disaster which is very difficult to predict and lack of water resources at dry season made the citizens lack of preparation to deal with. A solution to anticipate that is to provide an early warning system. In order for the system to work well, it need a prediction method that could provide good quality of data, the method called SOM-ANN. SOM-ANN method consisted by two different types of algorithms, there are Self Organizing Maps (SOM) and Backpropagation. The purpose of this study was to test the reliability of SOM-ANN method in discharge predicting in Tapung Kanan River. The weighting result from SOM’s learning applied to Backpropagation’s learning, so that the pattern recognizing becomes faster and gaining more accuracy. By a comparison with ANN method, SOM-ANN method can improve a better performance and accuracy of predicting results with 1099% increase in performance and 44,74% increase in accuracy with an error value MSE = 0,001725, so that the discharge prediction modelling can be used to predict the discharge in the future.Keywords : artificial neural network, self organizing maps, discharge, prediction modelling
Analisis Daya Tampung Beban Pencemaran Sungai Siak Bagian Hilir Menggunakan Pendekatan Water Quality Analisys Simulation Program (Wasp) Versi 7.3 (Wilayah Kabupaten Siak) Handrianti, Pipi; Suprayogi, Imam; Andesgur, Ivnaini
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Siak River is one of the largest river in Indonesia that has national concern and be included as national strategic river. Siak River has widely utilized by the surrounding population, but in recent times, the Siak River Basin including its critical downstream watershed in Siak regency, occuring the decrease of river water flow and quality, triggered by increased activity along the river basin which is dominated by plantation activities. In this research, the Siak Siam Load Capacity Analysis of Siak downstream in Siak district using WASP7.3 model with 14 segments for each BOD parameters in the minimum discharge simulation is 151 m3 / sec followed by reducing the pollution load according to the standard quality of class II. Reductions of pollution load are 75% of BOD parameter, so that attaining the standard quality of class II. The value of DTBP after the reduction for the pollution load of BOD are 12.134,95 kg / day respectively. Siak watershed downstream of Siak district is recommended into the designation of class II according to Government Regulation No. 82/2001 on Water Quality Management and Water Pollution Control.Keywords: Pollution Load, WASP7.3, Pollution Load Reduction, DTBP
Penelusuran Banjir (Stage Hydrograph) Menggunakan Jaringan Saraf Tiruan (Studi Kasus : DAS Siak) Ashral, Ashral; Fauzi, Manyuk; Suprayogi, Imam
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 1, No 2 (2014): Wisuda Oktober Tahun 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The purpose of this research is to predict the height of water level of Siak River Sub DAS Siak Hulu Pantai Cermin Station in 2012 by using water level data recorded by Sub DAS Tapung Kiri Tandun Station in the same year. This is to search for a more convenient and accurate method in flood routing from all methods that have been applied in the hope that this research can be considered as an alternative method.This research is conducted by using backpropagation algorithm artificial neural network approach with single input and single output as network model configuration. The approach itself uses Matlab 7.8.0.347 (R2009a) as supporting program.This research shows that the results of the training, test, and validation of artificial neural network model have a fairly good level of correlation with the value of R 0.58713, 0.64818 and 0.65933 though not yet provide maximum results. The level of correlation between prediction result with actual data is 0,518.Keywords: flood routing, water level, artificial neural network, backpropagation, tapung kiri, siak hulu
Pemodelan Hujan Debit Pada Sub Daerah Aliran Sungai menggunakan Program bantu Hec - Hms (Studi Kasus Pada Kanal Duri) Sitanggang, Gufrion Elmart; Suprayogi, Imam; Trimaijon, Trimaijon
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 1, No 1 (2014): Wisuda Februari Tahun 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Transformation process Rainfall-runoff is a scientific process which very complex. This complexity process cause of two factor, that are Watershed variability sistem  and  input parameter whick has high variability space and time. So for cope with this komplex process used rainfall-runoff modeling. Model that the used expected could approach Watershed  characteristic. A Rainfall-Runoff model is HEC-HMS. HEC-HMS accurate  for modeling the event a moment such as flood. This modeling will be used at the Duri Canal Watershed in this  study divided into 29 cathment area, with total area 448.4624 km2.   The results of the HEC-HMS modeling in 2002 obtained Qp is 1627.3 m3/sec, this output will calibration with HSS Nakayasu method and obtain Qp 1669.32 m3/sec caused by rainfall 150 mm. Whereas for the 2012 HEC-HMS modeling obtained Qp is 1231.7 m3/sec and for calibration HSS Nakayasu method obtained Qp is 1193.55 m3/sec caused by rainfall 107.5 mm. The result showed nearing values. However HEC-HMS and HSS Nakayasu have different peak time (tp). HEC-HMS have tp at the eleventh o’clock whereas HSS Nakayasu method have tp at the fourth o’clock. This different caused devide of cathment area at HEC-HMS modeling. Keywords : Model, Rainfall-Runoff, Calibration, HEC-HMS, HSS Nakayasu
Model Prediksi Liku Kalibrasi Menggunakan Pendekatan Jaringan Saraf Tiruan (ZST) (Studi Kasus : Sub DAS Siak Hulu) Mahyudin, Mahyudin; Suprayogi, Imam; Trimaijon, Trimaijon
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 1, No 1 (2014): Wisuda Februari Tahun 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

The purpose of this research is to predict the rating curve equation on the site Pantai Cermin Sub-watershed Siak Hulu Siak River in 2009. This is based due to the unavailability of rating curve equation on the site Pantai Cermin Sub-watershed Siak Hulu in 2009 until 2012 so hopefully this research can be used as an alternative method for determining the rating curve equation turns more quickly and accurately. This research was conducted using an artificial neural network approach to the backpropagation algorithm. Configuration of network model used is the single input and single output. This approach uses auxiliary program that is Matlab 7.7.0.471 (R2008b). Results of this research showed that the artificial neural network model results of training, testing and validation have a very good level of correlation with the value of R 0.92996, 0.94469 and 0.97513. The rating curve equation for 2009 is Q = 22.93 x H1.265 with the level of correlation R = 0.9975. Keywords: rating curve, artificial neural network, backpropagation, siak hulu.
Alternative Assessment of Urban Flood Management Using Eco Drainage approach (Case Study: The area of the Terminal Payung Sekaki ) Saputra, Ricko Adi; Suprayogi, Imam; Sasmita, Aryo
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 2, No 2 (2015): Wisuda Oktober Tahun 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The area of the Terminal payung sekaki in the future directed by function area of Commerce (business), the ground transportation center and the main entrance gate Pekanbaru city by land for the constellation of the most prestigious regional and city of Pekanbaru in particular. Land conversion happens on the open land into developed regions an impact on the improvement of storm water runoff and impairment infiltration or water storage amount that goes into the ground. Eco drainage is drainage infrastructure of urban areas where rainfall runoff is not directly channeled water receiver but accommodated in the retention pond to provide sufficient time for the water to seep into the ground. Retention pond is designed not only as flood control but also as a place of recreation for the park to be combined with increasing the area of green open space and improve the esthetic value of theenvironment. The completion of this study using EPA SWMM 5.0 assistance program to analyze the suitability of the drainage capacities to cope with the flood problem. The results showed that the problem of flooding due to the capacity of the existing channel with a dimension of 1x1 m not in accordance with the conditions of rain and runoff into drainage capacities with a value of 1.0 or 100% has been filled with runoff that goes into the drainage. Simulation repairs done by using the channel dimensions 2x2 m still not able to cope with the recent flooding. The capacity of the existing line with the percentage Impervius undeveloped land with a value of 85%, 60% and 2% can be maximized by the addition of the retention pond with an area of 2 hectares and a depth of 2 m as well as changes in the dimensions of the channel just upstream (3x3m) and downstream (2x2m) into alternative solutions to problems ofurban flooding in the region. The capacity of drainage channels and retention ponds planned until the 20 years in the future development of the city of pekanbaru RTRW according to changes in the percentages of land be impervius 95% still holds a runoff into drainage channels so that the problem of flooding in the area of AKAP Subdistrict payung sekali can be resolvedKeyword : Flooding, Eco drainage, Retention Ponds , EPA SWMM 5,0
Model Hidrologi Runtun Waktu Untuk Peramalan Debit Sungai Menggunakan Metode Artifical Neural Network (ANN) (Studi Kasus : Sub DAS Siak Hulu) fadly, Rendy; Suprayogi, Imam; Fauzi, Manyuk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 2, No 2 (2015): Wisuda Oktober Tahun 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

ANN method is a soft computing method that can predict streamflow. predict streamflow is needed at the present time, one of which is for early warning flood. Judging from the success of the research is the application of ANN method, it is necessary to prove the performance of the ANN method to predict streamflow in Siak Hulu Sub-Watershed. The data used for the development of ANN model predict streamflow in Siak Hulu Sub-Watershed is derived from the historical recording of data in Automatic Water Level Record (AWLR) station of Pantai Cermin from 2002 to 2012 (except 2007). ANN model development consists of 4 forecasting scheme is then compared to obtain the best model. In each of the schemes carried out the training process, testing, and validation. The algorithm used in the development of ANN model is backpropagation algorithm. The results obtained in this study indicate that the performance of the ANN model that has been made to produce the value of the test statistic parameters of the correlation coefficient (R) categorized as a very strong correlation. The best forecasting scheme obtainedthat the forecasting scheme for one day to the next (Qt+1) which resulted in a correlation coefficient (R) is 0.94903.Keywords: forecasting streamflow, ANN, Siak Hulu sub-watershed.
Co-Authors ', Nurdin Achmad Rudi Haryadi AFRIZAL AFRIZAL Agus Ika Putra Alfian Alfian Alfian Alfian Aminuyati Andreas Panjaitan Andrey Arzil Andy Hendri, MT, Andy Andyca Putra As, Andyca Putra Anto Ariyanto Anton Ariyanto Aras Mulyadi Ardi Wahyudi Ardian Ardian Ari Sandhyavitri Arneni, Arneni Aryo Sasmita Ashral, Ashral Asmura, Jacky Astri, Yulasni Aswal Fitra Yadi Audah, Syafridatul Azmi, Nuzulul Bambang Sudjatmoko Bambang Sujatmoko Binhar, Mathrab Bochari Bochari - Budijono, Budijono Burhanudin Burhanudin Cahyono, Sandi Cahyono, Sandi Citra Perdana Cuprtino Tamba Daviq Chairilsyah Deddy Prasetyo Utomo Desyi Astuti Dewi Marni Edi Suhendri Edi Yusuf Adiman Effendi Sianipar Efri Maryoni Ega Riana Tovani Eki Efrizal, Eki Ela Fitriana Ela Fitriana Elianora - Elvi Yenie, Elvi Ermiyati Ermiyati - Ermiyati Ermiyati, Ermiyati Ermiyati, E fadly, Rendy Fahmi, Naufal Muhammad Fajri Rahmatullah fakhri Fakhri Fakhri Fakhri Fakhri Fakhri, F Fakhri, Fakhri Fauzi Febriansyah Fauzi, Manyuk Febrian, Anggi Feranita Feranita Ferdi Wranda Ferry Fatnanta Fitrah Parlindungan Fitria Sari Gandung Rahmadi Geo Gifaj Ruci Adzano Ghofirin, Khoirul Ghofirin, Khoirul Gian Habriandi Tarigan Gufrion Elmart Sitanggang Gunawan Wibisono Gussyafri Habrio Ilva YR Hafidzilhaj Harys Hafiz Catur Anggoro Handrianti, Pipi Hardiman Hardiman Hendro Ekwarso Husnil Fitri Indah Ameliana Beza Isnandi, Ari Ivnaini Andesgur Jacky Asmura Jacky Asmura Jamili, M Joehari Jecky Asmura Joleha, Joleha Jusatria Khairullah, M Khoirul Ghofirin Luluk Masfufa Mahyudin Mahyudin Mailino, Vemby Maryoni, Efri Mathrab Binhar Matrab Binhar Mifta Khairiah Mira Dharma Susilawaty Monita Olivia Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Mubarak Muhammad Arif Muhammad Arrafi Irsyad Muhammad Reza Muhammad Rico Saputra Muhammad Shalahuddin Muhammad Yoganda Mukhelnalis Sutazril Nahar Afrizal Nofrizal Nofrizal Novan, Andre Nurdin Nurdin . Nurdin Nurdin Nurdin Nurdin Nurdin, N Nurhasanah Junia Oki Adi Putra Pipi Handrianti Ranata, Nicola Rabb Randhi Saily Resty Agesti Handayani Resty Agesti Handayani Riady, Rony Rahmad Rinaldi Rinaldi Rio Novi Awan Ronald M Hutauruk Ronald Mangasi Hutauruk Rudi Hasmadan Safari Tri Septanto Safridatul Audah Salvi Novita Sandi Cahyono Saputra, Ricko Adi Saputra, Riola Satibi, Syawal Septya Ardiani Septya Ardiani Shalahuddin Siswanto, Siswanto Soewignjo Agus Nugroho Sofyan Husein Siregar Sri Djuniati Sri Djuniati Sudjatmoko, Bambang Suprasman Suprasman Suryafit, Sagit Suwondo Suwondo Syamsul Arifin Syarfi Syarfi Triliani, Ana Aulia Trimaijon Trimaijon Trimaijon, Trimaijon Trisla Warningsih Tsauri, Muhammad Idraq Ibnuts Ucin Muksin, Ucin Verawati Vernando Sahputra Limbong Wawan Yasir Prayuna Yasir Prayuna Yenita Morena Yogi Septian Malik Yohana Lilis Handayani Yohanna Lilis H Yulasni Astri Zaim, Zaflis Zaky Ilhami Zulfan Saam Zulkifli ZULKIFLI ZULKIFLI Zulkifli Zulkifli