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<![CDATA[Analisis Kinerja Simpang Gendengan Surakarta Menggunakan Program Simulasi PTV Vissim ]]>
<![CDATA[Safira Hana Pradipta]]>;
<![CDATA[Budi Yulianto]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 9, No 4 (2021): Desember ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v9i4.54782
<![CDATA[Jalan Brigjen Slamet Riyadi pada ruas paling selatan terdapat perubahan arus lalu lintas menjadi contraflow bus lane untuk BST (Bus Solo Trans). Simpang Gendengan merupakan salah satu simpang yang akan dipengaruhi oleh adanya contraflow bus lane tersebut, karena waktu siklus menjadi bertambah dengan volume arus lalu lintas yang besar sehingga panjang antrian dan tundaan kendaraan akan bertamabah. Penelitian ini bertujuan untuk menganalisis kinerja Simpang Gendengan yang menggunakan sistem fixed time controller pada kondisi eksisting. Pemodelan pada penelitian ini menggunakan program simulasi PTV Vissim karena merupakan model simulasi yang dapat menganalisis kinerja lalu lintas dengan hasil output mendekati kondisi lapangan. Untuk membuktikan tidak adanya perbedaan yang signifikan antara hasil output model dengan hasil observasi dilapangan kemudian dilakukan kalibrasi dan validasi. Hasil output model Simpang Gendengan mendekati hasil observasi dengan hasil uji GEH < 5 pada arus lalu lintas, nilai thitung < ttabel pada panjang antrian, dan pada waktu perjalanan hasil uji perbedaan relatif menunjukkan nilai presentase perbedaan sebesar 6%. Dari hasil tersebut dapat disimpulkan bahwa model terkalibrasi dan tervalidasi. Hasil analisis kinerja simpang yaitu pada panjang antrian rata-rata tiap lengan sebesar 34,3 meter, waktu perjalanan sebesar 161 detik, dan tundaan simpang sebesar 57 detik.]]>
<![CDATA[IDENTIFIKASI DAERAH RAWAN BANJIR LAHAR PADA KALI WORO DENGAN APLIKASI PROGRAM SIMLAR V.1.0 ]]>
<![CDATA[Setiono Setiono]]>;
<![CDATA[Siti Qomariah]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 2 (2014): Juni 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i2.37439
<![CDATA[Disaster due to debris flow commonly called sediment disaster, SIMLAR V.1.0 application for simulation debris flow 2D toestimate flood Lava prone areas volcano in order development of early warning system, so will reduce negative impact of disaster. Thepurpose of this study is : (1) can identify the type of morphology based rosgen's method.(2)to determine the effectiveness the buildingsabo in conducting debris flow in order development of early warning system(3)to mapped the flood lava prone areas in DAS Woro inthe orderly development of early warning system. This research using secondary data, the secondary data obtained from relevantagencies, the research using the daily rainfall data, the discharge of DAS woro event in 2010. Rain results using Gama I methods,digital elevation model (DEM) was taken in 2011, lava flood prone map from BPPTK. Effective rainfall, digital elevation modeland sediment coefficient input tp the simlar applicaton for further do simulation test. From the simlar application will produce 2Dmap and describe the region lava flood pronein in DAS woro with water volume and sediment volume, the result this research thatflood prone lava areas is a village sukorini areas]]>
<![CDATA[SELERA MASYARAKAT DALAM MENENTUKAN PERUMAHAN DI KABUPATEN SUKOHARJO DENGAN METODE FUZZY-AHP ]]>
<![CDATA[Setiono Setiono]]>;
<![CDATA[Koosdaryani Koosdaryani]]>;
<![CDATA[Suryoto Suryoto]]>;
<![CDATA[Nur Ulyanisa]]>
<![CDATA[ Matriks Teknik Sipil Vol 8, No 2 (2020): Juni ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v8i2.44178
<![CDATA[Keberadaan Kabupaten Sukoharjo yang merupakan daerah berkembang, dimana beberapa kegiatan perekonomian bertaraf internasional, pendidikan, layanan kesehatan dan sektor informal. Dengan kondisi demikian maka banyak para pendatang dari daerah sekitar maupun dari luar daerah yang datang dengan tujuan bekerja, sekolah, berdagang dan sebagainya. Keadaan ini di satu sisi menimbulkan masalah tempat tinggal bagi masyarakat pendatang, tetapi di sisi lain merupakan peluang pengembangan perumahan untuk menyediakan sarana hunian dengan membangun perumahan-perumahan yang dibutuhkan. Tujuan penelitian ini yaitu untuk mengetahui selera dan faktor yang paling mempengauhi masyarakat dalam memilih perumahan di Kabupaten Sukoharjo. Penelitian ini dilakukan dengan mengumpulkan data primer dan sekunder yang berupa hasil dari kuisioner kepada masyarakat terkait. Peninjauan langsung terhadap kondisi terkini masing-masing perumahan serta pengkajian terhadap masing-masing faktor terpilih. Setelah data terkumpul dilakukan penilian terhadap kriteria dan kemudian penilaian terhadap alternatif dan dilakukan pembobotan. Penelitian ini menggunakan metode Fuzzy-AHP dengan bantuan Software Microsoft Excel 2010. Berdasarkan penelitian yang telah dilakukan, faktor legalitas merupakan faktor yang paling berpengaruh dalam memilih perumahan yaitu sebesar 33,22%. Faktor yang berpengaruh kedua yaitu faktor keamanan dan kenyamanan sebesar 24,19%, kemudian faktor lokasi sebesar 21,81%, faktor kelengkapan rumah sebesar 13,58%, dan faktor persepsi harga sebesar 7,27%.]]>
<![CDATA[ESTIMASI MATRIKS ASAL TUJUAN ( MAT ) KOTA SURAKARTA TAHUN 2025 ]]>
<![CDATA[Sri Sutrisni]]>;
<![CDATA[Syafi'i Syafi'i]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 2 (2014): Juni 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i2.37459
<![CDATA[Origin Destination Matrix is a two-dimensional matrix that contains information about the amount of movements among locations (zones) withina certain area. Origin Destination Matrix Estimation is used to determine the distribution of the trip in order to analyze the performance of theroad network in Surakarta. The study aims to determine the distribution of the movements of the traffic flow in the city of Surakarta representedwith OD Matrix 2025.OD Matrix year 2013 Estimation is obtained from process by prior matrix data, calibrated using the generation andthe pull model by regression analysis method to produce the amount of generation and attraction in 2025. The data used to calibrate the data issocio-economic in that year. For generation, the most significant variable is the number of the population, while the amount of land areasignificantly affects the traction effort. After obtaining a number of generation and attraction for 2025, subsequently estimated using a model withconstraints generation Gravity and pull (DCGR). Parameter ? = -0,15127 use values obtained from research Isnaini (2013).The study wasconducted by dividing the study area into 65 zones with zone 51 internal and 14 external zones processed using the program EMME/3 andSPSS 17. Distribution of movement Surakarta years presented in the form of a matrix and simplified into the form of a bar graph. Totalmovement that occurs is equal to 55.074.29 pcu / hour , movement between internal-external zone seen in largest graphs is 28.27%, the nextorder of the internal-external movement of 25.21% and the internal-internal of 23.98%. For external-external zones were relatively smallmovement that is 14.69%. The smallest movement occurs in intrazona is 7.86%..]]>
<![CDATA[Analisis Model Simpang Ngapeman Menggunakan Program Simulasi PTV Vissim ]]>
<![CDATA[Berlian Fikkriatur Rizqiah]]>;
<![CDATA[Budi Yulianto]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 9, No 4 (2021): Desember ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v9i4.54784
<![CDATA[Jalan Brigjend Slamet Riyadi merupakan jalan arteri Kota Surakarta dimana terdapat banyak pusat kegiatan di dalamnya. Banyaknya pusat kegiatan pada daerah Central Business District (CBD) mengakibatkan berbagai jenis kendaraan melintasi jalan tersebut. Pada kajian ini dilakukan analisis kinerja Simpang Ngapeman yang merupakan salah satu simpang yang terdapat pada Jalan Brigjend Slamet Riyadi dengan dimodelkan dengan menggunakan program simulasi PTV Vissim. Tujuan dari penelitian ini adalah untuk melakukan mikrosimulasi arus lalu lintas di Simpang Ngapeman pada kondisi mixed traffic dengan melakukan kalibrasi (menggunakan metode GEH untuk volume lalu lintas) dan validasi (menggunakan uji t untuk panjang antrian dan uji perbedaan relatif untuk waktu perjalanan) antara model dan juga kondisi eksisting di lapangan. Hasil dari kajian ini adalah model sudah terkalibrasi nilai GEH kurang dari lima (GEH < 5) dan tervalidasi dengan nilai dari uji t didapatkan t hitung lebih kecil dari t tabel dan P (two tailed) lebih besar dari 0,05 sehingga dapat dikatakan bahwa model pada program simulasi PTV Vissim sudah mendekati kondisi di lapangan.]]>
<![CDATA[PEMODELAN PEMILIHAN MODA ANTARA MONOREL TERHADAP BUSWAY DENGAN METODE STATED PREFERENCE ]]>
<![CDATA[Tommy Bahtiar Saputra]]>;
<![CDATA[Amirotul MHM]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 1, No 4 (2013): Desember 2013 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v1i4.37520
<![CDATA[The monorail is part of the main strategy macro transportation pattern in the Jakarta, one of the routes that will be developedis cawang -east bekasi. This study aims to find the modal choice behavior modeling monorail on busway mode usingstated preference methods. In the study, the influence of the attributes used in the form of fare determination, reduction oftravel time, and waiting time. The data used in this study is the secondary data obtained from pollsters a passenger responseto the stated preference method is by providing eight different scenarios.Modelling is done by using a binomial logit models. The selection of model is obtained as follows:Umr -bwy = -5,6356 - 0,0007339(Fmrl - Fbwy) + 0,4316(TRedctnmrl -TRedctnbwy)with F is a variable fare , TRedctn is the variable reduction of travel time. Based on the obtained model, variable reductionof travel time becomes the biggest aspect in the selection mode .]]>
<![CDATA[PREDIKSI POTENSI DEBIT BERDASARKAN DATA HUJAN MAKSIMUM BULANAN DENGAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION DI DAS ALANG ]]>
<![CDATA[Jonas Eratika Ginting]]>;
<![CDATA[Rintis Hadiani]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 1 (2014): Maret 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i1.37467
<![CDATA[The data flow is important information in the management of water resources. Water resources management has many aspects such as flood controlpurposes, and so on electrical energy potential. For water resources management and watershed planning Alang long-term infrastructure, flow of dataneeded in the future. So we need an approach to the provision of discharge data with neural network models. The purpose of this study is (1) Determinethe coefficient of ANN parameters, (2) Determine the discharge prediction years 2013-2016 and (3) Determine the reliability of the model.This research is descriptive quantitative research, where data used are secondary data. The secondary data used were obtained from the office. Stages ofthe research is to collect data year 2001-2012 rainfall and discharge as well as topographic maps. Perform calculations using the area rain Thiessenpolygon method. Results rainfall areas converted into discharge using the Rational method with the help of software Backpropagation ANN Matlab(R2010b). Then perform simulations until the results obtained are at the limits set and simultaneously obtain discharge predictions. Furthermore, totest the reliability of the model.The results showed that the ANN parameters : Period = 4 years, Hidden Layer = 2 pieces (2 each neuron), Epoch = 150000, Goal Momentum =0.6 and = 0.02. Then for discharge predictions for the year 2013-2016 Alang DAS can be seen in table 5. Reliability models 58.17% derived fromthe analysis of reliability. The model has achieved 58.17% reliability and 95% Confidence qualify, but the parameters of the model need to be modifiedto apply to other watersheds.]]>
<![CDATA[ANALISIS DATA RUNTUN WAKTU DEBIT MENGGUNAKAN JARINGAN SYARAF TIRUAN DI DAS WURYANTORO PADA AWLR KECAMATAN WURYANTORO ]]>
<![CDATA[Heri Eko Prasetyo]]>;
<![CDATA[Rintis Hadiani]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 2 (2014): Juni 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i2.37437
<![CDATA[Artificial Neural Network (ANN) is a technology that was developed based on the principle of biological neural networks in humans, can betrained to predict what will happen future based on patterns occurrence existing in the past. ANN has the ability to remember and make ageneralization of what has happened before. Artificial neural networks can train the network to get the balance between the ability of the networkto recognize patterns (historical data) are used for training as well as the network's ability to respond correctly to the input patterns are similar (butnot the same) to the pattern used during training. The purpose of this study was to determine the best number of input patterns using neuralnetworks, back propagation architecture.This research method using quantitative descriptive methods with techniques of data collection sources or agencies related to the research data usedare secondary data. Stages of the research carried out by preparing the data discharge in the year 2001-2012. For the simulation of discharge datausing Artificial Neural Networks (ANN) backpropagation with the help of MATLAB software.The results showed that the number of input pattern is best with the input pattern data input discharge 8 years. The best simulation results aresimulated discharge data with the data input discharge 8 years with the data output discharge 8 years. Reliability of simulation results only reaches64.68%, the simulation results have a fairly good result level of reliability and 95 % Confidence qualify, but the parameter of the model need to bemodified to apply to apply to other watersheds.]]>
<![CDATA[ESTIMASI MATRIKS ASAL TUJUAN PERJALANAN MENGGUNAKAN MODEL GRAVITY DENGAN FUNGSI HAMBATAN EKSPONENSIAL-NEGATIF DI KOTA SURAKARTA ]]>
<![CDATA[Hendarwati Pamungkas]]>;
<![CDATA[Syafi'i Syafi'i]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 2 (2014): Juni 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i2.37430
<![CDATA[Transportation problems such as congestion, noise and air pollution, accidents, delay and other problems happen because the bigger movement tofulfill life necessities which is more complex. It can be solved by using good transportation planning. MAT is a two-dimensional matrix containsinformation about the amount of movements inter location (zones) within a certain area. MAT can provide a detail indication of the movementsneed, so MAT plays important role in the study of transportation planning and management. This research was conducted in Surakarta by dividingthe study area into 65 zones with 51 internal zones and 14 external zones. In analyzing of road network, it includes arterial roads and collectorroads. The aims of this research are to determine the magnitude of Origin Destination Matrix estimation of the data traffic using applicationEMME / 3 at Surakarta in the year of 2013, and also the research is intended to know the level of validation of traffic flow using the result ofmodeling of traffic flow observation in the field. In this research to estimate the MAT in the plan, it use the limitation Gravity Model productionand attraction movement. This research also uses Matlab software application to get the value of the parameter ?with exponential-negative barrierfunction. The traffic volume value was obtained by imposing new matrix and incorporating current observation (traffic count) in the road network.Test validation using determination coefficient (R2 ). The value of parameter ?by using application software Matlab is -0,00042. The result of thecalculation by using EMME/3 shows the total number of estimation of movement Surakarta in the year of 2013 is 37298,98 smp/jam withlevel of validation (R2 ) is 0,78. This case shows the value (R2 ) of this study fall into the category of high validation, has 78% similarity to theoriginal condition in Surakarta city streets.]]>
<![CDATA[PEMODELAN HUJAN DEBIT UNTUK ANALISIS KEKERINGAN PADA DAS TEMON ]]>
<![CDATA[Frandy Eko Yulianto]]>;
<![CDATA[Rintis Hadiani]]>;
<![CDATA[Setiono Setiono]]>
<![CDATA[ Matriks Teknik Sipil Vol 2, No 1 (2014): Maret 2014 ]]>
Publisher : <![CDATA[Program Studi Teknik Sipil FT UNS ]]>
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DOI: 10.20961/mateksi.v2i1.37473
<![CDATA[Drought is a natural phenomenon highly affecting the availability of ground water reserve, required for either farminginterest or human need. In some areas, the water availability can be met and in certain period of time, it can be criticalbecause its amount is reduced substantially. Drought occurs not only because the decreased rainfall, but also becausethe decreased soil penetration/accommodation power as the result of the damaged penetration areas due to the inappropriateland use.This study employed a simulated neuron network Artificial Neural Network that was a mathematical model with linearfunction to generate flow rate. The drought analysis built on the drought threshold with probability of 0.5 called Qnormal(Q50). From the resulted flow rate, the deficit and drought duration, as well as the beginning of dry season every year,would be estimated.From the result of analysis it could be seen that nearly every year from 2007 to 2012 in certain month, the flow ratewas lower than the normal one (Q50), thereby there was a potential drought every year. The highest drought deficit was19.870m3 /s occurring in 2012, while, the longest drought duration occurred on the average for six months in 2007,2008, 2009, and 2012 from May to October. The beginning of dry season time was different each year and occurred inthe first month when the flow rate was lower than the normal one (Q50).]]>
