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Riyanto Haribowo
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Badan Penerbitan Jurnal Fakultas Teknik Universitas Brawijaya Jln. MT. Haryono No.167, Malang, Jawa Timur – Indonesia, 65145 Telpon. (0341) 587710 / Fax. (0341) 551430
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Civil and Environmental Science Journal (CIVENSE)
Published by Universitas Brawijaya
ISSN : -     EISSN : 26206218     DOI : https://doi.org/10.21776/ub.civense
Core Subject : Social, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering Environmental Science
Civil and Environmental Science Journal (Civense) is an international journal, peer-reviewed research publication covering new concepts, theories, methods, and techniques related to science and engineering. The journal will cover, but is not limited to, the following topics: 1. Structural engineering 2. Construction management 3. Environmental engineering 4. Water resources and hydrologic engineering 5. Geotechnical engineering 6. Information technology 7. Coastal and harbor engineering 8. Surveying and geo-spatial engineering 9. Transportation engineering 10. Tunnel engineering 11. Construction materials
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 5 Documents
 1 
Search results for , issue "Vol 1, No 1 (2018)" : 5 Documents clear
Data Generation In Order To Replace Lost Flow Data Using Bootstrap Method And Regression Analysis Susilo, Gatot Eko
Civil and Environmental Science Journal (CIVENSE) Vol 1, No 1 (2018)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2018.00101.4

Abstract

This paper aims to find method to generate data in order to replace lost flow data in the series of discharge data in Sungai Seputih River, Lampung Province. Bootstrap simulation is used to estimate the discharge data and complete the existing discharge data. Regression analysis is also used to find the pattern of data distribution. Results of the research show that both methods are able to generate new series of flow data that the distribution is similar to available field data. Results also show that the use of statistical methods is one way to tackle the problem of data limitations due to missing or unrecorded data. The weakness of data generation using a combination of Bootstrap methods and regression analysis is the disappearance of extreme values in the data series. Existing extreme values have been modified to ideal values that satisfy certain distributions. However, careful analysis is required in using statistical method, so that the results of analysis do not deviate from the field conditions.
The Application of Modal Split Using Revealed and Stated Preference Techniques: A study in Malang Hidayat, Muhammad Nurjati
Civil and Environmental Science Journal (CIVENSE) Vol 1, No 1 (2018)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2018.00101.5

Abstract

In this study we investigate modal split and travel behaviour in Malang by conducting person trip survey in study area. The purpose is to understand respondents’ travel behaviour and their preferences in selecting mode of transport. This is carried out to understand what are respondents feel regarding their perception on mode of transportation that available to them. The data being used are Revealed Preference (RP) and Stated Preference (SP) data. The first data based on present situation of respondents (including respondents’ characteristics and daily travel information), while the second one is hypothetical scenario that has not available in present condition. These data then compared and analysed using Multinomial Logit Model (MNL).
Water Management System Based On Zero Run Off Policy In Multi Unit Area (Case Study Of Menara Asuransi Astra In Cilandak, South Jakarta, Indonesia) Mukarromah, lailatul; Andawayanti, Ussy; Prayogo, Tri Budi
Civil and Environmental Science Journal (CIVENSE) Vol 1, No 1 (2018)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2018.00101.3

Abstract

Water management system is an effort of planning, management, control, and supervision of runoff water that is structured and integrated in an area according with the policies. In Governor Regulation of Jakarta Capital City Administration No. 43 of 2013 on the Peil of Building Floor Licence, it is explained that the implementation of the zero Delta Q principle is to keep the runoff remain in the area up to 100% or to drain the water out of the region up to zero percent or zero runoff. In this regard, this research is expected to develop a concept of a regional water system implementation which compares the hydrological analysis method with related regulatory methods, to obtain a technical policy that can be applied in order to meet the regional regulations based on the zero delta Q or zero runoff concept for all to be developed areas in Jakarta by taking case study of South Jakarta area as a pilot project. The method used is to compare the Governor Regulation of Jakarta as the reference in zero run off calculation with the Indonesian National Standard Regulation (SNI) No. 03 2453 2002 on the Procedure of Planning Technique of Rainwater Recharge wells for Grounds using hydrological and hydraulics analysis. The conclusion is the calculation by hydrological analysis in accordance with the Indonesian National Standard Regulation (SNI) No. 03 2453 2002 on the Procedure of Planning Technique of Rainwater Recharge wells for Grounds becomes the chosen method, because it has a more detailed result and zero runoff concept can be met, so the runoff at the study site did not increase the load of Grogol River.
Application of Polynomial Rocking Bearings as Seismic Isolation System on Irregular Bridges Anugerahputra, Krisna Febrian; Tzu Ying, Lee; Wibowo, Ari
Civil and Environmental Science Journal (CIVENSE) Vol 1, No 1 (2018)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2018.00101.1

Abstract

Friction Pendulum System (FPS) is one of the conventional sliding isolators which widely used and effectively proved to reduce seismic hazard in far-fault earthquakes. However, it may not be effective when the structures are induced by near-fault earthquakes because the earthquake’s period is usually close to the isolation period. In this study, a Polynomial Rocking Bearing (PRB) which has variable isolation stiffness is used to improve the performance of seismic isolation systems applied on irregular bridges under near-fault earthquakes. The PRB is composed by an articular joint and concave rocking surface. The rocking surface is defined by a sixth-order polynomial function. Based on previous studies, the PRB has been verified to effectively suppress the large isolator displacement subjected to near-fault earthquakes on building and regular bridges. However, it has not been used yet in the irregular bridges. This study aims to analyze the behaviour of Polynomial Rocking Bearing installed on an irregular bridge. As compared with Friction Pendulum Systems (FPS), the performance of PRBs is much better to effectively suppress the displacement of the bridge deck in both near and far-fault earthquakes.
Application of Artificial Neural Network For Defining The Water Quality in The River Haribowo, Riyanto; Dermawan, Very; Yudha, Nevandria Satrya
Civil and Environmental Science Journal (CIVENSE) Vol 1, No 1 (2018)
Publisher : Fakultas Teknik UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.civense.2018.00101.2

Abstract

Predicting point and nonpoint source runoff of dissolved and suspended materials into their receiving streams is important to protecting water quality. Therefore, it is important to monitoring the condition of river water quality. The purpose of this study is to predict water quality in small streams using an Artificial Neural Network (ANN). The study focuses on small stream in tributary of Brantas River. The variables of interest are dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), pH and temperature (T). To validate the performance of the trained ANN, it was applied to an unseen data set from a station in the region. The result show that the prediction of DO is 6.03 mg/litre, pH is 6,47 mg/litre and temperature is 25.18°. With the relatively error was 15.63%, 12.64% and 14.12% respectively. It was finally concluded that ANN models are capable of simulating the water quality parameters.

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