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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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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
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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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
PENGEMBANGAN MODEL HIDROLOGI RUNTUN WAKTU UNTUK PERAMALAN DEBIT SUNGAI MENGGUNAKAN DAUBECHIES WAVELET – ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (STUDI KASUS: SUB DAS SIAK BAGIAN HULU) Suprayogi, Imam; Fauzi, Manyuk; Efrizal, Eki
Proceedings ACES (Annual Civil Engineering Seminar) Vol 1 (2015): Annual Civil Engineering Seminar (ACES)
Publisher : Proceedings ACES (Annual Civil Engineering Seminar)

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Tujuan utama penelitian adalah mengembangkan model hidrologi runtun waktu untukkebutuhan peramalan debit sungai sehingga akan diperoleh informasi yang akurat untuk dapatdijadikan sebagai pengamatan dalam beberapa waktu ke depan di suatu titik kontrolpenampang sungai berbasis softcomputing. Metode pendekatan yang digunakan dalampenelitian ini adalah menggunakan Daubechies Wavelet dan Adaptive Neuro Fuzzy InferenceSystem. Data pendukung penelitian diperoleh dari pencatatan Pos Duga Air Otomatis StasiunPantai Cermin yang berupa stage hydrograph dari tahu 2002–2012, yang selanjutnya datatersebut ditransformasikan menjadi data debit harian dengan menggunakan persamaan ratingcurve yang disusun oleh Balai Wilayah Sungai (BWS) III Sumatera Provinsi Riau. Hasil utamapenelitian membuktikan bahwa hasil ketepatan dari model peramalan hidrologi runtun waktudebit sungai menggunakan program bantu MATLAB 7 yang diuji menggunakan kriteriaparameter statistik koefisien korelasi ( R ) memiliki jangkauan ketepatan peramalan untuk satuhari ke depan ( t + 1) sebesar 0.9483.Kata kunci: Adaptive Neuro Fuzzy Inference System, Daubechies Wavelet, debit sungai,model, peramalan.
Model Hidrologi Runtun Waktu Untuk Analisis Hujan Aliran Menggunakan Metode Gabungan Model Transformasi Wavelet Ihacres (Studi Kasus Sub DAS Lubuk Bendahara) As, Andyca Putra; Suprayogi, Imam; Fauzi, Manyuk
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 1 (2016): Wisuda Februari Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The IHACRES model application has been successfully applied in Indonesia. The existence of this success, it is necessary to further develop an approach to improve the correlation coefficient at the phase of calibration, verification, and simulation by combining the wavelet transformation - IHACRES model by taking a case study in Siak Hulu sub-watershed, Riau Province. Wavelet transformation method in this research has the advantage to decomposed and reconstructed in processing a raw data of time series to increased model performance. The output of wavelet transformation model would be use as IHACRES model input. Wavelet family which suitable for modeling are Haar and Biorthogonal wavelet. This research used the variety of length data that grouped into scheme 1 until scheme 8. The results showed that the best scheme in calibration phase for IHACRES model is scheme 2 (two year calibration) with a correlation value of 0.549. Scheme 2 used for wavelet transformation - IHACRES combine analysis. At wavelet transformation – IHACRES phase, the best calibration value was the used of Haar wavelet level 1 for rainfall and temperature data with a correlation value of 0.561. The best verification and simulation phase used Haar wavelet level 1 to input the data of rainfall and discharge. The result of verication phase valued at 0.674 and simulation was 0.737 which categorized as strong correlation. According to result of reserch, the use of wavelet transformation – IHACRES provides increased performance model, if compared with the IHACRES model.  Keywords: Siak Hulu sub-watershed, Wavelet Transformation, IHACRES.
Kinerja Sub DAS Siak Bagian Hulu Dalam Pengelolaan DAS Siak Khairullah, M; Suprayogi, Imam; Sujatmoko, Bambang
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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Siak river is one of the major rivers that gain national attention and was also included in the category of national strategic river, because the river has a function and a very large role in the development of the region and the economy both locally, regionally and nationally. The research objective is to monitor performance subzone Siak Hulu Part In Siak River Basin Management uses two criteria, namely the use of land and water management. Land use criteria determined by indicator closure by vegetation, suitability of land use, and the index of erosion, while water management criteria determined by indicator of river water discharge. DAS performance results Siak Hulu Section obtained a weighted sum of 26%, a total score of 12, the total value of the indicator 58 and the category is rather good. DAS performance results Siak Hulu section obtained with a value of 2.23, the value category classification DAS performance Siak Hulu section has a subzone category are "Rather Good". Performance Part subzone Siak Hulu quite a bit better illustrates that than the four indicators used in the assessment of the performance of subzone Siak Hulu section is one of the better parameters.Keywords : Watershed, Siak River, DAS Performance Parts Siak Hulu.
Analisis Indeks Kekeringan Menggunakan Metode Thornthwaite Mather Pada DAS Siak Cahyono, Sandi; 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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The level of risk of drought in the DAS Siak can be known, by calculating the index for drought using Thornthwaite Mather method. This method emphasizes the importance of rainfall data as input and potential evapotranspiration as superficial, but it is also necessary parameters soil moisture and vegetation as listener. The relationship between rainfall and potential evapotranspiration shows the state of the showing period of drought month and and the wet month. In the drought month period the amount of rain water is not sufficient for the water used by the plant, resulting in a shortage of soil moisture. The relationship between soil moisture shortage by potential evapotranspiration yield drought index. The choice of location DAS Siak in this study in order to reinforce the Drought Disaster Risk Index Map Riau Province issued by BNPB. Climate variability analysis results showed a decrease in the average annual rainfall of 15.50 mm/yr and an increase in average annual temperature of 0.08 °C. Thornthwaite Mather method analysis results showed an increase in average drought of 3.99% every year. The highest level of risk of drought occurred in 2014 and 2015 with a duration of severe drought occurred from January to November.Keywords: drought index, Thornthwaite Mather
ANALISIS KEJADIAN BANJIR SUB-DAS PASIR PENGARAYAN MENGGUNAKAN DATA HUJAN SATELIT TRMM TERKOREKSI Maryoni, Efri; Suprayogi, Imam
RACIC: Jurnal Teknik Sipil Universitas Abdurrab Vol 2 No 02 (2017): Terbitan Keempat Bulan Desember 2017
Publisher : Universitas Abdurrab

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Satellite-based rainfall data GSMap_NRT is expected to predict and forecast flooding in the area of sub watershed Pasir Pengarayan. Advances in remote sensing technology make it possible to overcome the problem of available data limitations by utilizing data sourced from satellite. The availability of many remote sensing programs connected directly to satellites speeds up the process of collecting data. One of the program tools used is Integrated Flood Analysis System (IFAS) version 1.3.0 for hydrological modeling and flood discharge analysis at Pasir Pengarayan River. The data used in May 2012 is assumed as an analysis of flood event data for May 2013. Satellite data for rainfall is used GSMaP_NRT Correction Method original and GSMaP_NRT correction Method (Type1) formula 2 in the form of hourly rainfall data. The parameters used to assess model accuracy are waveform error (Ew), volume error (Ev), and peak discharge error (Ep). GSMap modeling, conditions May 01 - 06 May 2012 period, where initial condition after IFAS parameter is simulated, Ew, Ev, and Ep are 43,52%, -9,92% and -5,93% for original GSMaP_NRT. While the simulation results from GSMaP_NRT correction obtained 1.57%, 12.58%, and 20.34%. Modeling GSMap Corrected method type formula 2, conditions May 01 - 06 May 2013 period, where the initial condition after IFAS parameter is simulated, Ew, Ev, and Ep are 43,528%, -9,925% and -5,938% for GSMaP_NRT Corrected. While simulation results from GSMaP_NRT correction method type 1 formula with 12 mm rainfall simulation obtained 0.004%, 7.706%, and 28.030%
Kajian Pemanenan Air Hujan Skala Individual Untuk Pemenuhan Air Baku Wilayah Pesisir Wilayah Kajian : Desa Tanah Merah, Kecamatan Tanah Merah, Kabupaten Indragiri Hilir Suprayogi, Imam; Triliani, Ana Aulia; Sasmita, Aryo
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Indragiri Hilir Regency is a condition of the area which is dominated by salt water, the water quality is very inadequate in terms of quantitative and qualitative hydrology due to swamp environmental conditions. Therefore the need for other alternatives to meet raw water needs by utilizing Rainwater Harvesting technology. In this study conducted the study in Tanah Merah Village, Tanah Merah District, Indragiri Hilir Regency. To find out the large contribution of rainwater harvesting, design designs, and budget plans that are carried out calculation and analysis of data. Supported by the Raincycle Standard v2.0 program based on the falling raindrops (roof's drip) which is the catchment area and water requirements based on the number of family members of each type of house. And the results obtained after the analysis of data for rainwater catchment areas, namely with an area of 208 m², 156 m², and 126 m², the percentage of rainwater donations fulfilled by 3 tanks is 82% with a planned budget of Rp 14,358,000.00 while for the rainwater catchment area, which is 80 m² in size, and 49 m² of the percentage of rainwater donation that is fulfilled by 2 tanks is 72% with a budget plan that is Rp. 10,332,000.00. And in terms of quality parameters that exceed the quality standard, namely detergent, to reduce the levels, namely by filtering with filters from media activated carbon, sand, and silica.   Keywords: Rainwater Harvesting, Indragiri Hilir Regency, Raw Water
Analisis Pasang Surut Di Pantai Dumai Menggunakan Metode Least Square 15 Piantan Arif, Muhammad; Hendri, Andy; Suprayogi, Imam
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 6 (2019): Edisi 1 Januari s/d Juni 2019
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Least square is a method of tidal harmonic analysis that ignores meteorological factors in analyzing and predicting tidal elevations. This study analyzes the accuracy of tidal elevation predictions based on the initial date of the simulation. The analysis used 15 days tidal data from Pelindo Port C, Dumai. Furthermore, the results of the study were compared with the results of the most recent study, namely predictions of tide admiralty 15 days in the same location. The results of this study indicate that the results of the 15 days least square method prediction are more accurate than the admiralty method. The RMSE value from the least square method calculation gives the smallest Root Mean Square (RMSE) value of 34,56 cm, while the admiralty method is 71,38 cm. The most appropriate time to take primary data in the field for the purposes of tidal predictions is at the beginning of the third week of each month in the hijri calender or when the half moon phase.Keywords : least square method, tidal prediction, RMSE
Analisis Pengaruh Perubahan Tata Guna Lahan Terhadap Saluran Drainase Jalan Dorak Berdasarkan Pola Rencana Tata Ruang Tata Wilayah Kabupaten Meranti Tahun 2013-2032 Menggunakan Model Epa Swmm 5.0 Suprayogi, Imam; Sujatmoko, Bambang; Morena, Yenita; Ghofirin, Khoirul
JURNAL SAINTIS Vol 17 No 1 (2017)
Publisher : UIR Press

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Tujuan utama penelitian ini adalah melakukan suatu analisis pengaruh perubahan tata guna lahan terhadap Saluran Drainase pada kawasan Jalan Dorak Kota Selatpanjang berdasarkan Pola Rencana Tata Ruang Tata Wilayah (RTRW) Kabupaten Meranti tahun 2013-2032. Metode pendekatan penelitian yang digunakan untuk kebutuhan simulasi menggunakan pendekatan program bantu model matematik EPA SWMM dengan input model data curah hujan bulanan Stasiun Curah Hujan Buatan tahun 2001-2015 dari BWS III Sumatera, peta topografi dan peta penggunan tata lahan dari BP-DAS Indragiri Rokan Provinsi Riau. Hasil utama penelitian membuktikan bahwa terjadinya peningkatan nilai parameter (% impervious) akibat perubahan tata guna lahan dengan mengacu pola RTRW Kabupaten Meranti tahun 2013-2032 di Kawasan Jalan Dorak. Kondisi di atas mengindikasikan perlunya perubahan dimensi saluran utama drainase dengan cara melakukan pelebaran saluran pada kondisi eksisting dari 1.4 m x 1.2 m menjadi 3.7 m x 1.2 m sehingga akan meningkatkan luas penampang basah saluran akibat meningkatnya volume limpasan air yang masuk ke ke saluran utama drainase pada kawasan Jalan Dorak sampai tahun 2032.