scholarly journals Estimation Modeling of Abutment Volume with Variations of Bridge Span, Abutment Height, and Seismic Zone

2020 ◽  
Vol 1000 (1000) ◽  
Author(s):  
Dicky Rahadian Mahendra
Keyword(s):  
Linear Regression ◽  
Cost Estimation ◽  
Strong Correlation ◽  
Linear Regression Analysis ◽  
Volume Estimation ◽  
Seismic Load ◽  
Seismic Zone ◽  
Estimation Model ◽  
Bridge Span ◽  
Dependent Variables

The initial cost estimate for a bridge project using an estimation model can be done based on the dimensions, type, and material of the bridge. Research that has included bridge location as a determinant variable for initial bridge cost estimation has not been carried out much. The different locations of the bridge project will have different seismic accelerations and seismic load analysis. This study aims to create a model used to calculate the quantity needed for the construction of abutment in various locations with a PCI-Girder superstructure. The data used for the quantity estimation model was derived from the abutment design results. The data obtained from the calculation of concrete and reinforcing steel quantities from the abutment design with variations in bridge span i.e. 20 m; 25 m; 30 m; 35 m; and 40 m, abutment height i.e. 4 m; 6 m; and 8 m, and seismic zone 1, 2, 3, and 4. Volume estimation models are obtained by multiple linear regression analysis. The results show a very strong correlation between the span of the bridge and the height of abutment with the dependent variables. While the seismic zone has a strong correlation with the dependent variables. However, the seismic zone in this study did not meet the linear regression assumptions. This study developed 8 models to estimate abutment volumes. The R2 values of these models are 0.983 – 0.997. These showed that the models are properly made to be used to estimate abutment volumes with a PCI-Girder superstructure.

Cost Estimation Model for I-Girder Bridge Superstructure Using Multiple Linear Regression and Artificial Neural Network

2018 ◽  
Vol 881 ◽  
pp. 142-149 ◽  
Author(s):  
Inas Winalytra ◽  
Arief Setiawan Budi Nugroho ◽  
Andreas Triwiyono
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Linear Regression ◽  
Cost Estimation ◽  
Estimation Model ◽  
Bridge Span ◽  
Factors Influencing ◽  
Cost Estimation Model ◽  
Girder Bridge ◽  
The Cost

One of the owner’s common problem before executing construction projects is the complexity in estimating the project cost in an early stage. Inaccurate cost estimation will force the owner to make further arrangement to the project budget. This study aims to develop an initial cost estimation model for superstructures of Precast I-girder Bridge. Cost estimation model was developed based on thirteen data of detail engineering design of I-girder bridge in Daerah Istimewa Yogyakarta (DIY). Factors influencing the cost of the superstructures of the I-girder bridge were identified. Bridge span and width, the size of the sidewalk, and railing’s type are considered as variables affecting the cost of superstructures. These variables are then arranged into two different analysis Multiple Linear Regression (MLR) analysis and Artificial Neural Network (ANN), in order to obtain the best estimation model. The results of the analysis showed that bridge span and width were the significant factors influencing cost. The correlation value of bridge span is 89.0%, bridge width is 74.2%, the size of the sidewalk is 66.1%, and railing’s type is 46.1% as identified factors that affect the cost of the superstructure. A comparative model of two approaches shows that the ANN has better accuracy than that of MLR, although the difference was not significant.

scholarly journals HUBUNGAN PERSEPSI KEARIFAN LOKAL DENGAN SIKAP KONSERVASI MASYARAKAT DESA LENCOH KECAMATAN SELO DI TAMAN NASIONAL GUNUNG MERAPI

Biosfer ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 65-69
Author(s):  
Ernawati Ernawati ◽  
Eka Putri Azrai ◽  
Sri Supardi Wibowo
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Natural Resources ◽  
Local Knowledge ◽  
Strong Correlation ◽  
National Park ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Pearson Product Moment Correlation ◽  
Village People

Local wisdom refers to ideas and local knowledge which are wise, full of wisdom, good and virtuous beliefs that made, owned, also carried out by local people in that area. People of Lencoh village are applying local wisdom filled with Javanese culture in order to interact with the environment and use natural resources. This study aims to determine the correlation between perception of local wisdom and conservation attitude of Lencoh village people in Mount Merapi National Park. The study was conducted in Lencoh village, Selo sub-district in January 2016. The method used is the descriptive methods with correlational study. There are 95 respondents from the three hamlets. The data is using questionnaires and interviews. The results showed 56,84% and 43,16% of respondents have a enough and high local wisdom perception, and 8,42% and 91,58% of respondents have a enough and good conservation attitude. Hypothesis is tested using simple linear regression analysis, obtained Y = 47.262 + 0.703X and Pearson Product Moment Correlation test at α = 0.01, obtained rxy = 0.678 indicates a strong correlation between local wisdom perception and conservation attitude of a Lencoh village people. The results of this research prove there is a positive correlation between local wisdom perception and conservation attitude of Lencoh village people on Mount Merapi National Park.

scholarly journals The Perception and Attitudes Towards City Garbage Management: A First Analysis

2017 ◽  
Vol 3 (1) ◽  
pp. 75
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Predictor Variables ◽  
Survey Questionnaire ◽  
Simple Linear Regression ◽  
Dependent Variables ◽  
The City ◽  
Management Issues

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.

Size and Effort Estimation Based on Problem Domain Measures for Object-Oriented Software

2018 ◽  
Vol 28 (02) ◽  
pp. 219-238 ◽  
Author(s):  
Tülin Erçelebi Ayyildiz ◽  
Altan Koçyiğit
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Object Oriented ◽  
Development Effort ◽  
Effort Estimation ◽  
Size Estimation ◽  
Problem Domain ◽  
Estimation Model ◽  
Software Projects

This paper analyzes the correlations between the problem domain measures such as the number of distinct nouns and distinct verbs in the requirements artifacts and the solution domain measures such as the number of software classes and methods in the corresponding object-oriented software. For this purpose, 14 completed software development projects of a CMMI Level-3 certified defense industry company have been analyzed. The observed strong correlation is taken as the indication of linear relationship between the measures and a size estimation model based on linear regression analysis is proposed. Prediction performance of the method is analyzed on the 14 software projects. Moreover, it has been observed that there is a high correlation between the problem domain measures and the development effort. Therefore, the linear regression analysis is also used to estimate the effort in terms of the problem domain measures. The effort estimations are also evaluated and compared with the efforts predicted using the size measured by the COSMIC Function Point (CFP) method. The results show that the proposed method provides more accurate effort estimates compared to the effort estimated by using CFP size measurement.

scholarly journals The Perception and Attitudes Towards City Garbage Management: A First Analysis

2017 ◽  
Vol 7 (1) ◽  
pp. 75 ◽  
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Predictor Variables ◽  
Survey Questionnaire ◽  
Simple Linear Regression ◽  
Dependent Variables ◽  
The City ◽  
Management Issues

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.

scholarly journals Pengaruh Harga dan Promosi Terhadap Keputusan Pembelian Helm Merek GM Pada Mahasiswa/i Sekolah Tinggi Ilmu Ekonomi Haji Agus Salim Bukittinggi

2020 ◽  
Vol 1 (2) ◽  
pp. 42-52
Author(s):  
Hariman Syaleh ◽  
Rohimah Nur Nasution
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Purchasing Decisions ◽  
Independent Variables ◽  
Dependent Variables ◽  
Positive Effect

This research is motivated by many types and brands of helmets offered to consumers in the market. So that each helmet company must create a strategy to maintain and achieve a higher market share. The problem in this study is "How is the influence of price, quality and promotion of the decision to purchase GM brand helmets for STIE HAS Bukittinggi students. The data used are primary and secondary data. The research data was obtained through questionnaires to 68 respondents. The variables used were dependent variables, namely purchasing decision (Y) and independent variables namely price (X1), and promotion (X2). The method of analysis used by the writer in this research is multiple linear regression analysis. The results of multiple linear regression analysis obtained the following equation: Y = 15,070 + 0,222 X1 + 0.782 X2 obtained that prices and promotions have a positive effect on purchasing decisions. The results of the t test and f test are partially and simultaneously have a significant effect on purchasing decisions.

scholarly journals DESIGN AND OPTIMIZATION OF DOXORUBICIN HCL PRONIOSOMES BY-DESIGN OF EXPERIMENT

2019 ◽  
pp. 90-95
Author(s):  
SRIKANTH ◽  
ANAND KUMAR Y. ◽  
MALLIKARJUNA SETTY C.
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Design Of Experiment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Tween 20 ◽  
Box Behnken Design ◽  
Independent Variables ◽  
Dependent Variables

Objective: The present research work was designed to formulate and optimize doxorubicin HCl proniosomes by design of experiment (DoE). Methods: A 4-factor, 3-level Box-Behnken design was used to explain multiple linear regression analysis and contour 3D plot responses. The independent variables selected were tween 20, cholesterol, hydration volume and sonication time; dependent variables percentage entrapment efficiency (PEE), mean vesicle size (MVS). Based on the Box-Behnken design 29 trial runs were studied and optimized for PEE and MVS. Further "Model F-Value" was calculated to confirm the omission of insignificant terms from the full-model equation to derive a multiple linear regression analysis to predict the PEE and MVS of niosomes derived from proniosomes. 3D plots were constructed to show the influence of independent variables on dependent variables. Results: PEE of doxorubicin HCl proniosomes was found to be in the range of 40.21-87.5%. The polynomial equation for PEE exhibited a good correlation coefficient (0.5524) and the "Model F-Value" of 7.41 implies the model is significant. P-values less than 0.0500 indicate model terms are significant. The MVS of doxorubicin HCl proniosomes was found to be in the range of 325.2 nm to 420.25 nm. The mathematical model generated for MVS (R2) was found to be significant with model F-value of 54.22. There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise (P<0.0500) and R2 value of 0.9004. Conclusion: The DoE of Box-Behnken design demonstrated the role of the derived equation, 3D plot in predicting the values of dependent variables for the preparation and optimization of doxorubicin HCl proniosomes. The results suggest that doxorubicin HCl proniosomes can act as a promising carrier.

scholarly journals EXPOSURE BERITA TERHADAP MINAT PARIWISATA LOMBOK PASCA GEMPA

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Gusmia Arianti
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Survey Method ◽  
Significant Positive Effect ◽  
Dependent Variables ◽  
Effect Theory ◽  
The Media ◽  
Independent Variable ◽  
Positive Effect

The focus of the research is looking at the influence of exposure to news that appears on television against the interest in visiting. The study was conducted with a survey method for 66 respondents, data collection was conducted in December 2018-February 2019, by using linear regression analysis. The exposure of the media to become an independent variable and interest in visits are dependent variables. The results showed that news exposure to television mass media about Lombok tourism after the earthquake in August 2018 then gave a significant positive effect on the interest of community visits to Lombok. Television is considered to play an important role in the dissemination of information. This is in accordance with the uses and effect theory, where the need for information will affect the behavior of recipients of information.

scholarly journals PENGARUH LABA DAN LEVERAGE TERHADAP KEBIJAKAN DIVIDEN

2020 ◽  
pp. 761
Author(s):  
I Wayan Gde Wahyu Purna Anggara ◽  
A. A. N. B Dwirandra
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Estimation Model ◽  
Positive Effect

This study uses Lintner's (1956) dividend estimation model to test the effect of earnings and leverage on dividend policy. The population in this study is a manufacturing company listed on the Indonesia Stock Exchange between 2014 to 2016. Sampling research conducted by purposive sampling technique which further collected as many as 52 company samples with 139 observations. This study meets the pre-assumption test required as a requirement to perform multiple linear regression analysis. The results of the analysis show that: (1) earnings has a positive effect on dividend policy, (2) leverage has no negative affect on dividend policy.

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