• Geomechanics and Engineering
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• v.17 no.4
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• pp.317-322
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• 2019

This paper presents the results of parametric analyses to compute the axial capacity of a suction pile using 2D and 3D finite element approaches. The study is intended to simplify the process of analyzing suction piles from 3D to 2D model. The research focuses on obtaining the coefficient to be applied into the 2D model in order to obtain results that are as close as possible to the 3D model. Two 2D models were used in the analysis, namely the plane strain and axisymmetric models. The analyses were performed using two actual offshore soil data of the North and West Java Indonesia. The study reveals that the simplification of model through 2D Finite Element is achievable by applying the appropriate coefficient to the stiffness parameters. The results show that the simplified model of the 2D FEA provides more conservative results (with the difference between 2% to 7%) than the 3D FEA.

• Korean Journal of Radiology
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• v.22 no.7
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• pp.1021-1033
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• 2021

Objective: To assess the expression of vascular normalization genes in different molecular subtypes of breast cancer and to determine whether molecular subtypes with a higher vascular normalization gene expression can be identified using dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI). Materials and Methods: This prospective study evaluated 306 female (mean age ± standard deviation, 50 ± 10 years), recruited between January 2014 and August 2017, who had de novo breast cancer larger than 1 cm in diameter (308 tumors). DCE MRI followed by IVIM DWI studies using 11 different b-values (0 to 1200 s/mm²) were performed on a 1.5T MRI system. The Tofts model and segmented biexponential IVIM analysis were used. For each tumor, the molecular subtype (according to six [I-VI] subtypes and PAM50 subtypes), expression profile of genes for vascular normalization, pericytes, and normal vascular signatures were determined using freshly frozen tissue. Statistical associations between imaging parameters and molecular subtypes were examined using logistic regression or linear regression with a significance level of p = 0.05. Results: Breast cancer subtypes III and VI and PAM50 subtypes luminal A and normal-like exhibited a higher expression of genes for vascular normalization, pericyte markers, and normal vessel function signature (p < 0.001 for all) compared to other subtypes. Subtypes III and VI and PAM50 subtypes luminal A and normal-like, versus the remaining subtypes, showed significant associations with K^trans, k_ep, v_p, and IAUGC_BN90 on DEC MRI, with relatively smaller values in the former. The subtype grouping was significantly associated with D, with relatively less restricted diffusion in subtypes III and VI and PAM50 subtypes luminal A and normal-like. Conclusion: DCE MRI and IVIM parameters may identify molecular subtypes of breast cancers with a different vascular normalization gene expression.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.339-352
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• 2021

This study aims to explore the relationship between entrepreneurial role models (ERM) and entrepreneurship education (EE) on individual entrepreneurial orientation (EO) and its consequences for entrepreneurial intention (EI). Data is obtained through a survey method on 255 management and business university students who had completed the entrepreneurship education program. To evaluate the research model, the data is processed using PLS-SEM. The results of this study indicate that the existence of entrepreneurial role models and entrepreneurial education programs for students affects the components of individual entrepreneurial orientation, namely individual innovativeness, individual proactiveness, and individual risk-taker. However, ERMs do not have a direct effect on EI. The main finding of this research appears on the influence of individual EO on EI, which indicates that only individual innovativeness impacts entrepreneurial intention. Meanwhile, personal proactiveness and risk-takers are proven to have no impact on EI. This study succeeded in filling the research gap, namely, examining the influence of ERMs on each of the components forming an individual entrepreneurial orientation (IEO) and its EI. This research model also provides a comprehensive research model on the influence of pre-entrepreneurial exposure on IEO and its consequences on EI.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.68-74
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• 2019

Along with the deeper architecture in the deep learning approaches, the need for the data becomes very big. In the real problem, to get huge data in some disciplines is very costly. Therefore, learning on limited data in the recent years turns to be a very appealing area. Meta-learning offers a new perspective to learn a model with this limitation. A state-of-the-art model that is made using a meta-learning framework, Meta-SGD, is proposed with a key idea of learning a hyperparameter or a learning rate of the fast adaptation stage in the outer update. However, this learning rate usually is set to be very small. In consequence, the objective function of SGD will give a little improvement to our weight parameters. In other words, the prior is being a key value of getting a good adaptation. As a goal of meta-learning approaches, learning using a single gradient step in the inner update may lead to a bad performance. Especially if the prior that we use is far from the expected one, or it works in the opposite way that it is very effective to adapt the model. By this reason, we propose to add a weight term to decrease, or increase in some conditions, the effect of this prior. The experiment on few-shot learning shows that emphasizing or weakening the prior can give better performance than using its original value.

• Journal of radiological science and technology
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• v.34 no.3
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• pp.239-244
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• 2011

In this study, we evaluated diffusion weighted imaging (DWI) to investigate whether the DWI parameters can predict characteristic parameters on pathologic specimens of tumor or not. CFPAC-1 was injected subcutaneously on the back flank of athymic nude mice (n=13) then two tumors were initiated on each mouse (2${\times}$13=26 tumors). The mice were sacrificed to make specimen immediately after initial MR imaging then were compared with the MR image. A dedicated high-field (7T) small-animal MR scanner was used for image acquisitions. A T1 and T2 weighted axial image using RARE technique was acquired to measure the T2 values and tumor size. DWI MR was performed for calculating ADC values. To evaluate tumor cellularity and determine the levels of MVD, tumor cells were excised and processed for H-E staining and immunostaining using CD31. T2 values and ADC values were computed and analyzed for each half of the tumors and compared to the correlated specimens slide. Median ADC within each half of mass was compared to the cellularity and MVD in the correlated area of pathologic slide. The mean of ADC value is $0.7327{\times}10^{-3}$ $mm^2/s$ and standard deviation is $0.1075{\times}10^{-3}$ $mm^2/s$. There is a linear relationship between ADC value and tumor necrosis (R2=0.697, p< 0.001). DW image parameters including the ADC values can be utilized as surrogate markers to assess intratumoral neoangiogenesis and change of the internal structure of tumor cells.

• Journal of Distribution Science
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• v.17 no.7
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• pp.15-25
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• 2019

Purpose - e-Commerce is now one of the alternatives in shopping. Ease of Use and convenience aspects are the main supporting reasons that e-commerce is a trend for most people today. This study examines the relationship between the theory of technology to consumer behavior in using e-commerce applications. Research design, data, and methodology - The number of samples in this study was 600 samples from four major e-commerce made in Indonesia. The research method of this study Structural Equation Model (SEM) with AMOS and SPSS applications as analysis tools. Results - The results of this study state that most hypotheses support prior research and grand theory. On the other hand, the components of technology acceptance theory are mostly able to moderate variable consumer behavior in the digital era. Conclusions - The combination of essential elements of technology theory are oriented to the fundamental aspects of human beings as social beings. The most important thing for the development of the e-commerce industry to develop and be sustainable is the obligation to increase consumer confidence. The combination of components of technology theory and CCT can be a comprehensive marketing strategy and innovation to competitive advantage in the future.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.489-495
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• 2020

Income inequality is a problem that is not only faced by developing countries such as Indonesia, but also developed countries. The difference lies in the proportion of an inequality that occurs and the solution to the level of difficulty experienced. Thus, this study aims to empirically analyze the unequal distribution of population income in Java island, Indonesia, by including the human development index, open unemployment rate, foreign investment, and the degree of fiscal decentralization. The research model used in this study was multiple linear regression to analyze the panel data with a fixed-effect model approach. The results of the study showed that human development index, open unemployment rate, and the degree of fiscal decentralization had a positive and significant effect on income inequality in Java island. Meanwhile, foreign investment had a negative and insignificant effect on income inequality in Java. It is because the value of the investment is more invested in the capital-intensive sector. The government is expected to be more selective in accepting foreign investments that enter the country, especially in Java, and it should be labor-intensive investments. In addition, the government has to equalize locations for foreign investment without reducing good cooperation with these foreign investors.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.127-135
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• 2020

This study aims to measure the effects of real interest rate (RIR), gross domestic savings (GDS), and net exports (EN) shocks on Indonesia's economic growth (EG). The focus on Indonesia is unique due to the abundant resources available in the nation, but they are unsuccessful in boosting economic growth. This study applied a quantitative method to comprehensively analyze the correlation between variables by employing Vector Autoregression Model (VAR) combined with Vector Error Correction Model (VECM). Various procedures are preformed: Augmented Dickey-Fuller test (ADF), Optimum Lag Test, Johansen Cointegration Test, Granger Causality Test, as well as Impulse Response Function (IRF) and Error Variance Decomposition Analysis (FEVD). The data were collected from the World Bank and the Asian Development Bank from 1986 to 2017. The findings of the study indicated that economic growth responded positively to real interest rate shocks, which implies that when the real interest rate experiences a shock (increase), the economy will be inclined to growth. While, economic growth responded negatively to gross domestic savings and net export shocks. Policymakers are expected to consider several matters, particularly the economic conditions at the time of formulating policy, so that the prediction effectiveness of a policy can be appropriately assessed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1079-1089
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• 2021

The development of information technology has promoted organizational transformation through the utilization of an electronic information system. This research aimed to identify factors that influence continuous intention to use E-HRM. This empirical research applies the Technology Acceptance Model and Cognitive Model for identifying significantly impacted areas of continuous intention to use E-HRM in a highly dynamic environment. The data were collected using questionnaires delivered directly to respondents. The sample was 100 employees of ESQ Group selected through random sampling. The variables used were subjective norms (X1), perceived behavioral control (X2), perceived innovativeness (Y1), cognitive absorption (Y2), satisfaction (Y3), and continuous intention to use E-HRM (Y4). Statistical analysis using Structural Equation Modelling (SEM) with Smart PLS was applied. The results revealed that behavioral control (X2) did not influence the continuous intention to use E-HRM (Y4) and that cognitive absorption (Y2) and satisfaction (Y3) did not significantly influence continuous intention to use E-HRM (Y4). Subjective norms (X1) significantly influenced both perceived innovativeness (Y1) and continuous intention to use E-HRM (Y4), perceived behavioral control (X2) significantly influenced both perceived innovativeness (Y1) and cognitive absorption (Y2), and perceived innovativeness (Y1) significantly influenced both satisfaction (Y3) and continuous intention to use E-HRM (Y4).

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.193-204
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• 2022

Objectives: The primary objective of this study was to examine the effect of women's empowerment on the immunization of Indonesian children. The secondary objective was to examine the effect of wealth as a factor modifying this association. Methods: We utilized data from the 2017 Indonesian Demographic and Health Survey (IDHS). The subjects were married women with children aged 12-23 months (n=3532). Complete immunization was defined using the 2017 IDHS definition. Multiple components of women's empowerment were measured: enabling resources, decision-making involvement, and attitude toward intimate partner violence. The primary analysis was conducted using binomial logistic regression. Model 1 represented only the indicators of women's empowerment and model 2 controlled for socio-demographic variables. Subgroup analyses were conducted for each wealth group. Results: The primary analysis using model 1 identified several empowerment indicators that facilitated complete immunization. The analysis using model 2 found that maternal education and involvement in decision-making processes facilitated complete immunization in children. Subgroup analyses identified that wealth had a modifying effect. The indicators of women's empowerment were strong determinants of complete immunization in lower wealth quintiles but insignificant in middle-income and higher-income quintiles. Conclusions: To our knowledge, this study is the first to explore women's empowerment as a determinant of child immunization in Indonesia. The results indicate that women's empowerment must be considered in Indonesia's child immunization program. Women's empowerment was not found to be a determinant in higher wealth quintiles, which led us to rethink the conceptual framework of the effect of women's empowerment on health outcomes.