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Journal of Civil Engineering

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Published by Institut Teknologi Sepuluh Nopember Surabaya

ISSN : 20861206 EISSN : 25799029 DOI : -

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Journal of Civil Engineering merupakan jurnal bidang teknik sipil yang mengacu pada sistem standar internasional dalam pengelolaannya dengan tujuan utama memajukan bidang teknik sipil melalui publikasi ilmiah demi terwujudnya kemudahan mendapatkan ilmu dan informasi serta mendukung kemajuan teknologi.

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Articles 6 Documents

Search results for , issue "Vol 34, No 1 (2019)" : 6 Documents clear

ANALISIS FAKTOR PENYEBAB WASTE PADA PROYEK KONSTRUKSI GEDUNG DI KOTA SURABAYA DENGAN METODE EXPECTED MONETARY VALUE Bramantya Fidiansyah Putra; I Putu Artama Wiguna
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Generally, the term of waste can be defined as activities that cost both directly or indirectly and use physical and non-physical resources, but it does not add value or progress for the product. Waste occurring in a construction project could be in physical or non-physical form. A lot of main factors cause the existence of waste in a construction project, which are internal factors and external factors. Surabaya is a big city having the high growth-rate of building construction, so there are many projects buildings now. The probability of waste existence can be high too, because of this non-stop building procces.This research aims to find the main cause of waste in the project and the influence of its mitigation.The population of this research is building constuction projects in Surabaya that generate waste. The sampling technique is purposive technique sampling. This study uses data collection techniques by questionnaires and interviews about the factors that cause waste in 15 building construction projects. The taken data are probilities, and impact of waste cause variables. This research uses Fault Tree Analysis method, Monte Carlo, and Expected Monetary Value.. This number of probability dan the impact of the factors are calculated to gain the expected monetary value. The greatest value of this number indicates the main waste factor. The result of this research indicates three biggest cause of waste based on EMV value. They are owner making design change when construction have been running, less competent planners, and miscommunication happened in design planning. While, the largest category of waste causes is design category.

CONNECTION MODEL OF CONCRETE FILLED STEEL TUBE (CFT) COLUMN TO STEEL BEAM UNDER CYCLIC Agustina Dwi Atmaji; Budi Suswanto; Endah Wahyuni
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Various types of structural technology began to develop rapidly, one of which was composite steel. Composite steel (Concrete Filled Steel Tube) is a structure consisting of two or more materials with different material properties and form one unit so as to produce better combined properties. Compared to conventional steel, this column has many advantages such as convenient formwork for concrete cores provided by steel tubes, increased strength and good ductility. This study uses the CFT column as the main variable by considering variations in the CFT column on the connection using ABAQUS. Modeling was carried out with a test object of 203 × 133 × 7.8 × 5.8 mm and the CFT column dimensions of rectangular 220 × 220 × 6 mm, and circular Ø 220 mm t = 8 mm. The research method uses two steps static-general method with static-risk. The results of these two research methods have the results of approaching and having the same behavior. Modeling has fulfilled the requirements of modeling the column-beam joints that can be used in a system of earthquake-resistant reinforced steel composite concrete frame structures. Based on the modeling results that have been done, modeling has fulfilled the connection that has sufficient ductility capability.

DUCTILITY EVALUATION OF REINFORCED CONCRETE COLUMN MADE OF NORMAL- TO HIGH-STRENGTH CONCRETE UNDER CONSTANT AXIAL LOAD LEVEL COMBINED WITH FLEXURAL LOADING USING NONLINEAR SECTIONAL FIBER BASED MODEL Bambang Piscesa; Dwi Prasetya; Mudji Irmawan; Harun Alrasyid
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

This study presents the ductility evaluation of reinforced concrete column made of normal-strength material using various empirical stress-strain model with nonlinear sectional fiber based analysis. The purpose is to evaluate the confinement requirement for reinforced concrete column under high axial load level. The concrete strength considered in the analysis are varies from 30 to 70 MPa while the steel reinforcing bar yield strength considered is only 400 MPa. The ductility is evaluated by using the customized ductility index measurement. The ratio of the concrete cover to the concrete core is set to 0.1 but not more than 40 mm. Attard and Setunge’s concrete constitutive model is used in this investigation. Cover spalling behavior is considered in the analysis by including the restrained shrinkage effect on the concrete strength and the softening behavior. From this study, it was found that extra confinement is necessary to maintain the expected minimum level of ductility.

Prediction of Concrete Strength Based on Design Parameters, Hammer Test and Test UPV by Using Artificial Neural Network (ANN). Yulia Helena Margarita Rada; Pujo Aji
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

This study aims to predict the compressive strength of existing concrete without using destructive tests which can damage the surface of the concrete. Destructive testing has the disadvantage of damaging the surface of the concrete, requires a long time and need expensive cost, while the Non Destructive Test (NDT) has the advantage of not damaging the surface of the concrete and faster when combined with the Artificial Neural Network (ANN) method. In this research, the Non Destructive Test (NDT) result such as hammer test and UPV were combined with concrete mix design properties and used to predict the compressive strength of concrete at three and 28 days. The Artificial Neural Network (ANN) method is used to make correlation of mix design properties data and NDT. In this study experimental tests were performed using variation of design parameters such as water per cement ratio and weight ratio of fly ash. The water per cement ratio used in this research was in range 0.45 until 0.55. Furthermore, the weight ratio of fly ash was in range 0% until 25%. Based on the modeling result using ANN method, it found that that the neural network method successfully predicts the compressive strength of concrete at three and 28 days with the mean square error (MSE) value and regression of concrete at three days are5.83 and 0.89 respectively. While at 28 days the MSE and regression value are 4.7 and 0.87 respectively.

PENGARUH RENCANA INDUK BANDAR UDARA DI PROVINSI KALIMANTAN SELATAN TERHADAP JUMLAH PENUMPANG ANGKUTAN UDARA PADA TAHUN 2020 DAN 2030 Eriza Islakul Ulmi; Ervina Ahyudanari
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

The Minister of Transportation Regulation No.69 of 2013 set the national master plan of the airport in 2020 and 2030 including the airports in the Province of South Kalimantan. This causes a change in the role of the airport in South Kalimantan so effected on travel pattern change and affect on passengers trip distribution. Therefore, an analysis is needed to predict passenger travel patterns in the future. Data of passenger movement from Syamsudin Noor Airport, Gusti Syamsir Alam Airport, and Bersujud Airport analyzed by Exponential Smoothing Forecasting Method. While Tanjung Warukin airport is analyzed by multiple regression analysis method. The result of this study is in 2020 there is a new route that is Tanjung-Kotabaru predicted as many as 1.773 passengers using the route, it gives influence on demand of airport in Kotabaru that is from 299.203 people will be 300,976 people. The newly operated Tanjung-Banjarmasin route has the potential to survive as indicated by the number of passengers in 2020 of 5942 people.

PEKERJAAN EARTHWORK DENGAN PENERAPAN METODE M-PERT DI AREA KAWASAN INDUSTRI Sugeng Rahardjo
Journal of Civil Engineering Vol 34, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Earthwork Work with the Application of the PERT-Method in the Industrial Estate area. At the present time the need for industrial area in Jakarta and its surrounding areas is much higher than its availability. The average delay in earthwork is 6.1% white the weight of earthwork work in a construction project reacted 13.48%.In order to overcome the delay in implementation time, researchers used the M-PERT method can increase the accuracy of implementation time by 99%, The processing The results of the statistical analysis obtained the influential factors in earthwork work on industrial areas based on the M-PERT method whice are: exavator selection, similarities in the network, combining activities, understanding PERT activities, manual calculation, recalculating PERT, increasing crashing time, identification of cut & fill and effects duration of activity. Based on the validation results on the ripening work of the G1 plots in the industrial zone of Krakatau II Cilegon Banten, the application of M-PERT method, the result is 72 , 55 days, whice produced the error rate of 1.99%.

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Jawa timur

INDONESIA