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Agata Iwan Candra
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iwan_candra@unik-kediri.ac.id
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ukarst@unik-kediri.ac.id
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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.
Arjuna Subject : -
Articles 243 Documents
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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.
Simulation of High Wave Inundation at Payangan Beach Using Delft3D for Coastal Mitigation Louis Elsa Gloria; Retno Utami Agung Wiyono; Gusfan Halik
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i1.3233

Abstract

The south coast of Indonesia has a high risk of high waves. The community around Payangan Beach was one of those affected by the high waves, which caused damage to various buildings and inundation. One of the disaster mitigations to reduce the impact that occurs is to do inundation modeling. This study aims to model inundation due to high waves on Payangan Beach using Delft3D software. Wind, bathymetry, and tide data are used as model input data. The model was created using Delft3D-FLOW for tides while Delft3D-WAVE for waves. After the program is executed, the height and area of the inundation and significant wave height will be obtained. The modeling results will be validated with existing condition data using the Root Mean Square Error (RMSE). The modeling results show that the inundation height is 1.96 meters, the significant wave height is 2.45 meters, and the inundated area is 300 meters from the coastline, with 100 houses potentially inundated with an area of 187.4 m2. The validation results show that the model is quite good, with an accuracy of 96.88%. From these results, the Government of Jember was able to make a mitigation map for the inundation area on Payangan Beach and build a Sea Wall. So that in the future, high-wave disasters can be minimized.
Prediction Of Project Schedule Performance Index for Trans South Java Road Project Lot 7 Blitar Regency Using Bayesian Network Kristya Hadi Wicaksono; Jojok Widodo Soetjipto; Gusfan Halik
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i1.3552

Abstract

The south coast of Indonesia has considerable potential and competitiveness in the field of tourism. This encourages the government to strive to improve tourism infrastructure through the construction of the South Coast Road. In its implementation, project reporting must be measured and controlled to assist project management in identifying problems and factors that affect project activities.  This research aims to identify the most influential factors on Schedule Performance Index and develop a prediction model using the Bayesian Network. 5 main factors that affect project performance, such as Heavy Equipment, materials, Implementation and Work Relations, Labor, and Environment are used to are set 13 scenarios to detect the behavior of each factor appropriately. The factor is confirmed to the respondent to ensure that the factor occurs in the project. The study's results obtained Bayesian Network approach can be used to assess the condition of the JLS Lot 7 Blitar  Schedule Performance Index (SPI) with an accuracy of around 80%. The dominant factor affecting SPI is the condition of the Heavy Equipment.  The condition of the Heavy Equipment will affect the condition of SPI so closely that the contractor must maintain the performance of the heavy equipment so that the project performance is always in good condition. The identification results are expected to help in better decision-making and project risk management.
Flood Susceptibility Mapping in Gending District by Comparison Frequency Ratio and Weight of Evidence for Mitigation Strategy Bachtiar Ilham Maulana; Entin Hidayah; Gusfan Halik
UKaRsT Vol. 7 No. 1 (2023): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v7i2.3999

Abstract

Floods are natural disasters that occur all over the world. Gending District in Probolinggo Regency, East Java, is an area that often experiences floods and causes various losses. A flood susceptibility map needed to prepare appropriate mitigation actions. Choosing the right method will produce a more accurate flood susceptibility map. The research aims to make a flood susceptibility map in Gending District by comparing the Frequency Ratio (FR) and Weight of Evidence (WofE) methods and providing appropriate mitigation recommendations. Six data factors that cause flooding are used: slope, elevation, land use, normalized difference vegetation index (NDVI), curvature, and rainfall. The data obtained were processed using the FR and WofE methods, which were then validated using the Receiver Operating Characteristics (ROC) method. The validation value is calculated using the ROC chart's Area Under Curve (AUC). The higher the AUC value, the better. The study's results revealed that the correct method for making a flood susceptibility map in Gending District was FR with an AUC value of 92.8%, while the WofE method was 90.4%. The flood susceptibility map illustrates that 14% of the area is in very high and high flood-prone zones, 23% is in the moderate zone, and 63% is in the safe zone. The appropriate mitigation strategy based on the highest FR value is creating drainage networks, and green open spaces, normalizing rivers in residential areas, and implementing selective logging and reforestation programs. The results of this study are used to reduce the impact and risk of future flood disasters.

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