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Agata Iwan Candra
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U Karst
Published by Universitas Kadiri
ISSN : 25794620     EISSN : 25810855     DOI : http://dx.doi.org/10.30737/ukarst
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
U KaRsT is a journal of the civil engineering research the University of Kadiri published twice a year in April and November. First published in April 2017. U KaRsT already has both ISSN printed and online, for ISSN (Print) is 2579-4620, and ISSN (Online) is 2581-0855.
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Articles 10 Documents
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Search results for , issue "Vol. 6 No. 2 (2022): NOVEMBER" : 10 Documents clear
Analytical Hierarchy Process (AHP) for Maintenance Management at Bali Mandara Hospital Maria Imaculata Goran Mosa; I Nengah Sinarta; I Gusti Agung Putu Eryani
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.2684

Abstract

The absence of an assessment of the level of damage and the condition of the Bali Mandara Hospital building makes the maintenance management plan contained in the umbrella contract only based on the damage that occurred in the previous year. Therefore, it is very difficult to determine which building infrastructure components require maintenance and repair first. This study examines the priority scale of infrastructure maintenance at Bali Mandara Hospital using the Analytical Hierarchy Process (AHP). In this study, researchers used a quantitative-descriptive approach. The assessment of the building condition index value is then determined by the priority scale of each component using the Analytical Hierarchy Process (AHP) method with the help of the Expert Choice Version 11 application and the SWOT Method. The results showed that the index value for the infrastructure condition of the Bali Mandara Hospital building was 89.492 with very good condition criteria and was in zone I, while the highest priority scale was faucets, namely 1,000, and the lowest priority was action on a scale of 0.050, where this priority scale can be used in planning. Standard Operating Procedure (SOP) and efficient maintenance management. So based on the results of this study, with SWOT analysis, maintenance management can develop a more effective and efficient maintenance plan and Standard Operating Procedure (SOP) by the building condition index and existing priority scale.
Rationalization of Rainfall Station Network in Welang Watershed Using Kagan-Rodda Method Safira Anisah Haromain; Sri Wahyuni; Lily Montarcih Limantara
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.2829

Abstract

Rationalizing rainfall station is important to get an effective and efficient number and distribution of rainfall stations. If rationalization isn’t carried out, it affect to operating and maintenance costs of rainfall stations and accuracy of data. This study aimed to evaluate existing rainfall station and rationalize rainfall station, so rainfall station’s location is evenly distributed. This study is located in Welang watershed with an area 477.78 km2. This research requires rainfall ground data from 9 rainfall stations and CHIRPS satellite rainfall data from Google Earth Engine. The data is tested with consistency, stationary, suitability, and rationalization based on World Meteorological Organization (WMO) standards and Kagan-Rodda method. Later, new rainfall station networks will be obtained with the influence area of rainfall stations suitable to WMO Standard. CHIRPS data is highly suitable with ground data, proven by high NSE, strong correlation, and low relative error, so CHIRPS data can be used for further analysis. According WMO, only 1 rainfall station in Welang watershed has been suitable for WMO standard. Those unsuitable with WMO standards need to be rationalized. Based rationalization results, with average error <10%, Welang watershed requires 4 rainfall stations by maintaining Lawang Station, moving Telebuk to Station B, Selowongko to Station C, and Tutur to Station D. The influence area of recommendation rainfall stations have been suitable to WMO Standards and obtained even distribution rainfall stations. This recommendation are expected to be considered by relevant institutes to move the location of the rainfall station to get more accurate rainfall data.
Tsunami Mitigation Strategy at Watu Ulo Beach Based on Numerical Modeling Using Delft3D-Flow Risqi Sofiana; Retno Utami Agung Wiyono; Indra Nurtjahjaningtyas
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.2959

Abstract

The coastal area of Watu Ulo Beach in Jember has great resource potential but also the potential for major disasters, such as a tsunami. Tsunamis can cause casualties and destroy buildings. Thus, it is important to assess the possibility of future tsunami disasters. This study aims to simulate a tsunami at Watu Ulo Beach using Delft3D-Flow to analyze the possibility of affected areas. The tsunami modeling is based on two simulations, namely Scenario 1 as model validation using the characteristics of the 1994 Banyuwangi earthquake. Model validation calculation uses the MAPE method <10%. Scenario 2, modeling the southern Java megathrust earthquake, was analyzed to obtain the time and wave height as well as tsunami run-up and inundation, visualizing the area affected by Watu Ulo Beach. The simulation results show that the tsunami wave height at Watu Ulo Beach reached 12.57 m with a travel time of 29 minutes. The run-up elevation was 9.21 m, and the inundation distance was 2.38 km from the Watu Ulo coastline, indicating that the tsunami caused substantial damage. As an area affected by the tsunami, Sumberejo Village has an inundation area of 634.68 ha, and Sabrang Village has an area of 250.03 ha. The temporary evacuation location for Watu Ulo Beach is set at Tanjung Papuma Street via the shortest route of 0.57 km from the assembly point. Based on the results of this study can be used as a reference for determining temporary evacuation routes and locations for tsunami disaster mitigation in coastal areas.
Forecasting and Trend Analysis Bus Transportation During COVID-19 in Bali Land Using Time Series Method Budi Mardikawati; Ida Ayu Masyumi; Asep Eka Nugraha
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3323

Abstract

Transportation functions as a link between tourist destinations. Since the COVID-19 pandemic hit, the transportation industry has experienced direct impacts. One is a decrease in transportation users due to increased travel costs. This has a direct impact on reducing public interest in visiting. This research aims to find out changes in services for inter-provincial buses in Bali during and after the pandemic. The data used is departure data: the number of autobus suppliers; the number of departing destinations; the number of trips; and the average number of passengers from January 2018 to April 2022. From this data, time series analysis and forecasting were carried out using the Minitab software. The findings of a time series study regarding the number of trips, the number of bus suppliers, and the average number of passengers have decreased over time. Still, the number of departure destinations from the island of Bali has increased. Based on the forecasting results, it is known that the number of bus suppliers and the number of departure destinations has increased. However, it does not match the data for January 2018. This shows that the connectivity of Bali Island and the surrounding islands has increased after the COVID-19 pandemic subsided. It is hoped that it can be used as material for formulating public transportation strategies and policies, especially inter-provincial bus services.
Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera Sakura Yulia Iryani; Febrinasti Alia; Muhammad Abiyyi Tauhid; Ahmad Muhtarom; Arie Putra Usman
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3482

Abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region
Correlation of Ultrasonic Pulse Velocity with Porosity and Compressive Strength of Mortar with Limestone for Building Quality Assessment Slamet Widodo; Faqih Ma'arif; Maris Setyo Nugroho; Hidayat Mahardika
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3508

Abstract

Mortar is used for bonding bricks, filling gaps in masonry, and as a plaster for strengthening and smoothing wall surfaces in finishing works. Poor quality of mortar can cause cracks in the walls which are identified after the building is completed. Assessment of a building is essential to determine its quality. Non-destructive testing is widely chosen because it will not directly affect the physical building condition. However, there still needs to achieve a good fit equation that can be used to estimate mortar quality using non-destructive testing. This research aimed to propose a formula to predict the mortar quality using an ultrasonic pulse velocity (UPV) test with porosity and compressive strength in the mortar with limestone. Variations in adding the lime powder to the mortar mix are 20%, 30%, 40%, and 55%. It was divided into M, S, N, and O types. The mortar cubes were prepared based on ASTM C-1329 and ASTM C-270. The specimens were then evaluated with UPV, porosity, and compressive strength test using three samples for each test. Equations for the relationship between UPV and porosity and compressive strength can be derived from these tests. The results showed that the value of the ultrasonic pulse speed is directly proportional to the compressive strength of the mortar, which fits the equation y = 0.0542e0.0015x, and is inversely proportional to the porosity, showing the equation y = 108.57e-6E-04x. The results of this study can be used to assess the quality of new construction works and existing buildings.
Flood Modeling of Jatiroto River Using HEC-RAS to Determine Effective Flood Control Alternatives Sumiadi Sumiadi; Bambang Winarta; Dwi Priyantoro; Mohammad Taufiq; Rovita Yuniarti Arimbi
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3534

Abstract

Jatiroto River, located on the border of Lumajang and Jember Regencies, is one of the rivers with a risk of flooding. This is due to changes in land use and high sedimentation. For this reason, flood control efforts are needed to reduce disaster risk. This study aims to conduct flood modeling on the Jatiroto River and propose the most effective flood control. In this paper, the flood modeling uses HEC-RAS 5.0 with Q25y and Q50y obtained from analyzing rainfall data from 9 rainfall stations. The first modeling was carried out to produce a flow hydrograph on the upstream river section. The second modeling is carried out for the downstream river section with lateral flow from the Jatiroto tributaries. The flood modeling results show that the existing cross-sectional capacity of the Jatiroto River cannot accommodate Q25y, so it overflows in several cross-sections, especially the downstream section.By normalizing the river's cross-section and constructing an embankment in the downstream area, the flow simulation results on flood modeling show that the flood discharge at 25 years and 50 years does not overflow in all cross sections. Therefore, the normalization and construction of embankments become the effective flood control option in the Jatiroto River.
Prediction of Soil Bearing Capacity in the Masterplan Area of the Kalimantan Institute of Technology based on GIS Dyah Wahyu Apriani; Dhea Safitri; Umar Mustofa; Christianto Credidi Septino Khala
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3544

Abstract

Prediction of bearing capacity and soil type is a requirement for the safety of construction before planning a building construction. Therefore, it is necessary to research the distribution of bearing capacity and conical resistance to determine soil conditions in an area. Based on CPT data, this study mapped cone resistance distribution and soil-bearing capacity distribution in the ITK masterplan area. The analysis was carried out by reviewing the 40 cm pile foundation at 11 m. The analysis was carried out using the Kriging, IDW, and Spline with Barriers methods. The bearing capacity was analyzed using the Trofimankove method. The mapping of the carrying capacity using the three interpolation methods results in a Qall value of around 26,024 – 87,835 tons. The cone resistance mapping results using the three interpolation methods show that the soil consistent in the ITK masterplan area is stiff, very stiff and Hard with a qc value of around 16,0804 – 259,54 kg/cm2. The ITK masterplan area has a type of foundation soil, which is hard. The comparison results obtained from mapping the cone resistance and the carrying capacity of the three interpolation methods used, the value of the range of qc and Qall closest to the sample data used is the IDW method 
The Ultrasonic Pulse Velocity and Lagrangian Approaches to Predict the Effective Thickness and Homogeneity of the Sandwich Panel Faqih Ma'arif; Slamet Widodo; Maris Setyo Nugroho; Mohamad Tafrikan; Zhengguo Gao
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3545

Abstract

Non-destructive testing can be applied to various things, including sandwich panels. Sandwich panels made of EPS are greatly affected by the mixing process. Bad mixing can affect the level of homogeneity and reduce quality. In addition, the improper thickness of layers and cores can result in wall damage. For this reason, carrying out a non-destructive test on the sandwich panel is necessary. This study aims to determine the homogeneity of the material and predict the dimensions of the EPS core and layer. Experimental testing was conducted using Ultrasonic Pulse Velocity (direct method) with 90 points. The test object consisted of six sandwich panel walls with three variants, each with dimensions and layer thickness of 15 mm, 20 mm, and 25 mm, respectively, while the core layer size was 70 mm, 80 mm, and 90 mm, respectively. The test results were analyzed on travel time and wave velocity using a statistical analysis approach including covariance, Kolmogorov-Smirnov, ANOVA, t-test, and Lagrangian. The analysis results show that the mixture's homogeneity can be determined based on the ultrasonic pulse velocity. The proposed Lagrange analysis can reveal the behavior of the propagation speed. Based on the results of the Lagrange approach, the highest speed is obtained at a thickness of 80 with a maximum speed of 2.395 km/s. The results of this study contribute to the non-destructive test procedure, especially in determining homogeneity and the dimensions of the effective thickness of the structural walls (cores and layers) that have been installed in the field quickly, cheaply, accurately, and briefly.
Parametric Study of Large Settlement Due to Prefabricated Vertical Drain with Surcharge Preloading Mokhammad Farid Maruf
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3603

Abstract

Prefabricated vertical drain (PVD) combined with preloading is one way to deal with soft soil conditions. The predicted settlement becomes the first information in designing the surcharge, PVD configuration and depth, and the time required to complete the consolidation. Prediction of consolidation settlement that using one-dimensional theory considerably underestimated the field settlement along the construction of the surcharge placement stage. This paper intends to evaluate the completed PVD preloading construction project. Inclinometer monitoring data was evaluated to confirm whether the consolidation existed on preferred clay layers. The parametric study evaluated the root cause of the gap between prediction settlement and monitoring data. The root cause analysis continued with a parametric analysis using back calculations. The back analysis involved various Cc, Cs, and pc' that play a significant role in soil settlement. The results show that the conservative value of those parameters simulated separately could not raise the ultimate settlement into inner upper and lower bond results. However, combining those would lead to more accurate predictions that agree with the ultimate settlement. This parametric analysis result also confirms that overconfidence in picking soil parameters could lead to underestimating field settlement. Furthermore, selecting conservative parameters in consolidation settlement should avoid a big gap between prediction and field ones and put construction safe. It was decisive work to be done for further anticipation during and post-construction.

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