Showing papers by "Petra Christian University published in 2019"

Symbiotic Organisms Search Algorithm: theory, recent advances and applications

Abstract: The symbiotic organisms search algorithm is a very promising recent metaheuristic algorithm. It has received a plethora of attention from all areas of numerical optimization research, as well as engineering design practices. it has since undergone several modifications, either in the form of hybridization or as some other improved variants of the original algorithm. However, despite all the remarkable achievements and rapidly expanding body of literature regarding the symbiotic organisms search algorithm within its short appearance in the field of swarm intelligence optimization techniques, there has been no collective and comprehensive study on the success of the various implementations of this algorithm. As a way forward, this paper provides an overview of the research conducted on symbiotic organisms search algorithms from inception to the time of writing, in the form of details of various application scenarios with variants and hybrid implementations, and suggestions for future research directions.

Structural optimization using multi-objective modified adaptive symbiotic organisms search

Abstract: Multiple objective structural optimization is a challenging problem in which suitable optimization methods are needed to find optimal solutions. Therefore, to answer such problems effectively, a multi-objective modified adaptive symbiotic organisms search (MOMASOS) with two modified phases is planned along with a normal line method as an archiving technique for designing of structures. The proposed algorithm consists of two separate improved phases including adaptive mutualism and modified parasitism phases. The probabilistic nature of mutualism phase of MOSOS lets design variables to have higher exploration and higher exploitation simultaneously. As search advances, a stability between the global search and a local search has a significant effect on the solutions. Therefore, an adaptive mutualism phase is added to the offer MOASOS. Also, the parasitism phase of MOSOS offers over exploration which is a major issue of this phase. The over exploration results in higher computational cost since the majority of the new solutions gets rejected due to inferior objective functional values. In consideration of this issue, the parasitism phase is upgraded to a modified parasitism phase to increase the possibility of getting improved solutions. In addition, the proposed changes are comparatively simple and do not need an extra parameter setting for MOSOS. For the truss problems, mass minimization and maximization of nodal deflection are considered as objective functions, elemental stresses are considered as behavior constraints and (discrete) elemental sections are considered as side constraints. Five truss optimization problems validate the applicability of the considered meta-heuristics to solve complex engineering. Also, four constrained benchmark engineering design problems are solved to demonstrate the effectiveness of MOMASOS. The results confirmed that the proposed adaptive mutualism phase and modified parasitism phase with a normal line method as an archiving technique provide superior and competitive results than the former obtained results.

Ethical Awareness, Ethical Judgment and Whistleblowing: A Moderated Mediation Analysis

Abstract: This study aims to examine the ethical decision-making (EDM) model proposed by Schwartz (J Bus Ethics, 2015. doi:10.1007/s10551-015-2886-8), where we consider the factors of nonrationality and aspects that affect ethical judgments of auditors to make the decision to blow the whistle. In this chapter, we argue that the intention of whistleblowing depends on ethical awareness (EAW) and ethical judgment (EJW) as well as there is a mediation-moderation due to emotion (EMT) and perceived moral intensity (PMI) of auditors. Data was collected using an online survey with 162 external auditors who worked in audit firms in Indonesia as well as 173 internal auditors working in the manufacturing and financial services. The result of multigroup analysis shows that emotion (EMT) can mediate the relationship between EAW and EJW. The nature of this relationship is more complex, so we then tested it by adding moderating variables using consistent partial least squares (PLSc) approach. We found that EMT and PMI can improve the relationship between ethical judgments and whistleblowing intentions. These findings indicate that internal auditors are more likely to blow the whistle than external auditors, and reporting wrongdoing internally and anonymously is the preferred way of professional accountants to blow the whistle in Indonesia.

Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search–least squares support vector regression

Abstract: The prediction of asphalt performance can be very important in terms of increasing service life and performance while saving energy and money. In this study, a new hybrid artificial intelligence (AI) system, SOS–LSSVR, has been proposed to predict the permanent deformation potential of asphalt pavement mixtures. SOS–LSSVR utilizes the symbiotic organisms search (SOS) and the least squares support vector regression (LSSVR), which are seen as a complementary system. The prediction model can be established from all input and output data pairs for LSSVR, while SOS optimizes the system’s tuning parameters. To avoid sampling bias and to partition the dataset into testing and training, a cross-validation technique was chosen. The results can be compared to those of previous studies and other predictive methods. Through the use of four error indicators, SOS–LSSVR accuracy was verified in predicting the permanent deformation behavior of an asphalt mixture. The present study demonstrates that the proposed AI system is a valuable decision-making tool for road designers. Additionally, the success of SOS–LSSVR in building an accurate prediction model suggests that the proposed self-optimized prediction framework has found an underlying pattern in the current database and thus can potentially be implemented in various disciplines.

Combining machine learning models via adaptive ensemble weighting for prediction of shear capacity of reinforced-concrete deep beams

Abstract: This study presents a novel artificial intelligence (AI) technique based on two support vector machine (SVM) models and symbiotic organisms search (SOS) algorithm, called “optimized support vector machines with adaptive ensemble weighting” (OSVM-AEW), to predict the shear capacity of reinforced-concrete (RC) deep beams. This ensemble learning-based system combines two supervised learning models—the support vector machine (SVM) and least-squares support vector machine (LS-SVM)—with the SOS optimization algorithm as the optimizer. In OSVM-AEW, SOS is integrated to simultaneously select the optimal parameters of SVM and LS-SVM, and control the coordination process of the learning outputs. Experimental results show that OSVM-AEW achieves the greatest evaluation criteria for coefficient of correlation (0.9620), coefficient of determination (0.9254), mean absolute error (0.3854 MPa), mean absolute percentage error (7.68%), and root-mean-squared error (0.5265 MPa). This paper demonstrates the successful application of OSVM-AEW as an efficient tool for helping structural engineers in the RC deep beams design process.

Intellectual capital in Indonesia: dynamic panel approach

Abstract: Intellectual capital (IC) has been considered as a valuable asset in the wealth creation and sustainability of the company; however, limited and mixed results are found on its impact on firm financial performance and market value (MV). This paper aims to investigate the influence of IC toward MV and financial performance of publicly listed firms in Indonesia. In addition, this research also presents the comparison of the high and low level of knowledge industries regarding IC performance.,A balanced panel data of 127 firms from 12 industries in Indonesia during 2010 until 2017 was evaluated using dynamic panel regression and administering a well-developed Blundell–Bond instrument (dynamic panel data estimator) to account for endogeneity problem.,The results of this study showed that IC had a significant and positive impact on firm performance. Specifically, structural capital efficiency and capital employed (CE) efficiency have been contributed to the value creation of the company, after controlling for firm size and type of industry. Different to the theoretical expectation, this research found no significant relationship between IC and MV of the firm. However, when the sample was clustered into high-level and low-level knowledge industry, CE displayed positive and significant relationship in high-level industry.,This research contributes to IC research by having a larger sample of Indonesian firms from all industries except banks and financial institutions and using Modified Value Added Intellectual Capital measurement model. To address the endogeneity problem, dynamic panel regression using system generalized method of moment was applied.

Human Voice Emotion Identification Using Prosodic and Spectral Feature Extraction Based on Deep Neural Networks

Abstract: It is well known that human voice at the perceptual level consists of multimodality information. Therefore, a modality can be shared via neural emotion network through the independent stimuli processes. The expression and identification of emotions are significant steps for the human communication process. This process is biologically adaptive in a continuous manner, and for this reason, human voice identification becomes useful for classifying and identifying an effective specific characteristic between them. In this paper, we propose to identify the difference between the six essentials of human voice emotion. They will be generated using prosodic and spectral features extraction by utilizing Deep Neural Networks (DNNs). The result of our experiment has obtained accuracy as much as 78.83%. It presupposed that the higher intensity of emotions found in the sound sample would automatically trigger the level of accuracy as same as a higher one. Moreover, gender identification was also carried out along with the approximate accuracy at 90%. Nevertheless, from the learning process with the composition of 80:20, the training-testing data has obtained an exact accurate result by 100%.

Learning orientation, entrepreneurial orientation, innovation and their impacts on new hotel performance: evidence from surabaya

Abstract: Based on investor perspective, Surabaya city is still recognized as a promising investation land especially in the tourism industry. As can be seen based on recent last three years, whereas a lot of new hotel establishment is introduced. The presence of these new hotel establishments could be the indicator of tourism and economic growth in Surabaya city. However, growth may also lead to tighter competition. Therefore, to competitively compete during its early years, new hotel establishment should have a strategic orientation within its business operations with additional innovation breakthrough to create value or a competitive advantage. New hotel establishment also should maintain its good performance. This research is conducted to observe the implementation of Strategic Orientation, especially related with Learning Orientation and Entrepreneurial Orientation which is conducted by the establishment to achieve a better performance, which is also supported by the predesigned innovative programs. The empirical result based on 49 new hotel establishment in Surabaya city as the research sample, indicated indirect relationship between Learning Orientation and Entrepreneurial Orientation to performance with innovation as the mediator. It is suggested to add Market Orientation as the intervening variables for the future research especially regarding the role of Strategic Orientation and Innovation in new hotel establishments due to their infancy stage.

Server Scalability Using Kubernetes

Abstract: An enterprise that has implemented virtualization can consolidate multiple servers into fewer host servers and get the benefits of reduced space, power, and administrative requirements. Sharing their hosts’ operating system resources, containerization significantly reduces workloads, and is known as a lightweight virtualization. Kubernetes is commonly used to automatically deploy and scale application containers. The scalability of these application containers can be applied to Kubernetes with several supporting parameters. It is expected that the exploitation of scalability will improve performance and server response time to users without reducing server utility capabilities. This research focuses on applying the scalability in Kubernetes and evaluating its performance on overcoming the increasing number of concurrent users accessing academic data. This research employed 3 computers: one computer as the master node and two others as worker nodes. Simulations are performed by an application that generates multiple user behaviors accessing various microservice URLs. Two scenarios were designed to evaluate the CPU load on single and multiple servers.On multiple servers, the server scalability was enabled to serve the user requests. Implementation of scalability to the containers (on multiple servers) reduces the CPU usage pod due to the distribution of loads to containers that are scattered in many workers. Besides CPU load, this research also measured the server's response time in responding user requests. Response time on multiple servers takes longer time than that on single server due to the overhead delay of scaling containers.

Risk-based maintenance strategy for deteriorating bridges using a hybrid computational intelligence technique: a case study

Abstract: The current bridge inspection and maintenance protocol that is used in most countries focuses primarily on the visible aspects of bridge fitness and underestimates the invisible aspects, such as re...

The effects of prenatal exposure to Ramadan on stature during childhood and adolescence: Evidence from the Indonesian Family Life Survey.

Abstract: Many pregnant Muslim women fast during the Muslim holy month of Ramadan. A number of studies have reported negative life outcomes in adulthood for children who were prenatally exposed to Ramadan. However, other studies document minimal to no impact on neonatal indicators. Using data from the Indonesian Family Life Survey consisting of 45,246 observations of 21,723 children born to 9771 mothers, we contribute to the current discussion on prenatal exposure to Ramadan by examining the effects on stature (height-for-age Z-scores, weight-for-age Z-scores, and body-mass-index-for-age Z-scores: HAZ, WAZ, and BAZ, respectively) from early childhood to late adolescence (0-19 years of age). We introduce an objective mother's religiosity indicator to improve the intention-to-treat estimations. Children were classified into three groups based on their mother's religion-religiosity: religious Muslims, less-religious Muslims, and non-Muslims. Using cluster-robust mother fixed-effects, we found negative effects on stature for children born to religious Muslim mothers. The effects were age-dependent and timing-sensitive. For example, children born to religious Muslim mothers were shorter in late adolescence (15-19 years of age) compared to their unexposed siblings if they were prenatally exposed in the first trimester of pregnancy (HAZ difference = -0.105 SD; p-val. <0.05). Interestingly, we found positive effects on stature for exposed less-religious Muslim children that peak in early adolescence (10-14 years of age) and negative effects on stature for exposed non-Muslim children that occur only in early childhood (0-4 years of age). We nuance our discussion of health and socioeconomic factors to explain these surprising results.

The Impact of Information System Implementation to the Integrated System for Increasing the Supply Chain Performance of Manufacturing Companies

Abstract: This study examines the impact of information system management implementation on the company performance with the mediating role of process innovation and process innovation. Data collection is conducted by distributing questionnaires to, and through interviews with the respondents engaged in the department of the information system of 41 companies in Surabaya, Indonesia. The questionnaire is designed using a five-point Likert scale ranging from 1: strongly disagree up to 5: strongly agree. The data analysis uses smart PLS software version 3.0. The study found that the implementation of a management information system directly affects the process of innovation. The implementation of a management information system also directly influences product innovation. The implementation of a management information system does not directly affect the supply chain performance. The process innovation improves product innovation. Process innovation does not provide a direct impact on supply chain performance. Product innovation directly gives an impact on the improvement of the performance. In total, the implementation of management information systems affects supply chain performance through the process innovation and product innovation by the coefficient of 0.526. This study contributes to the current research on supply chain management and paves the way for managers to improve the supply chain performance by implementing the management information system, product innovation, and process innovation.

A self-tuning least squares support vector machine for estimating the pavement rutting behavior of asphalt mixtures

Abstract: The present study proposes a new self-tuning least squares support vector machine, called MSOS-SVM, for modeling the pavement rutting behavior of asphalt mixtures. MSOS-SVM combines the least squares support vector machine (LS-SVM), the symbiotic organisms search (SOS), and chaotic maps. In this system, the LS-SVM is used to establish the relationship model between the flow number obtained from laboratory tests and the parameters specified in the asphalt mix design. SOS is used to find the best LS-SVM tuning parameters. Meanwhile, chaotic system is used to enhance the exploration and exploitation process of SOS. A total of 118 historical cases were used to establish the intelligence-prediction model. The results validate the ability of MSOS-SVM to model the pavement rutting behavior of asphalt mixtures to a relatively high level of accuracy as measured using four error indicators. The present study demonstrates that the proposed computational intelligence system is a highly beneficial decision-making tool for road designers and engineers.

Corporate Social Responsibility Policies and Value Creation: Does Corporate Governance and Profitability Mediate That Relationship?

Abstract: With a purpose to give a deep understanding relating to the manifestation of social responsibilities practices among Indonesian companies, this paper reflects the relationship of corporate social responsibility (CSR), corporate profitability (CP), value creation (VC) and good corporate governance (GCG). Kinder, Lydenberg, and Dominis (KLD) measurement approach is used in this study to measure the social responsibility practices as this gives cross-border analysis of social responsibility. Corporate Profitability captures return on assets which is accounting-based measurement, whereas value creation explains the economic value added which is shareholder-based measurement. Structural Equation Model (SEM) analysis is conducted for Indonesian listed companies which appeared in Corporate Governance Perception Index (CGPI). The empirical result suggests that CSR serves as a tool in assisting shareholders value and performance. Accordingly, firms should incorporate CSR practices to enhanced its strategic investment and sustain a strong relationship with its stakeholders. Subsequently, management should also take concern of having good corporate governance in order to improve companys performance by supervising and monitoring of the companys operation, ensure the fulfillment to the stakeholders interest. This paper presents fresh insights into applications of corporate social responsibility principles and corporate governance in Indonesia context that has not received systematic attention and consideration in the literature

Financial knowledge, financial wellbeing, and online shopping addiction among young indonesians

Abstract: With the recent booming of e–commerce business in Indonesia, it is essential to conduct further studies on online shopping behavior of Indonesians. Past studies on online shopping addiction emphasize only psychological factors and overlook financial factors. To fill this research gap, this study aims to examine the association and effect of financial knowledge and financial wellbeing on online shopping addiction. The Bergen Shopping Addiction Scale (BSAS) was adopted to assess online shopping addiction whilst financial knowledge and financial wellbeing scales from Australian Unity were used to measure the other two research variables. Data was collected through an online survey of 230 young Indonesians. To analyze the data, Pearson correlation and multiple regression techniques were implemented. Outcomes of this study revealed that most respondents had medium and high levels of financial knowledge and financial wellbeing. Interestingly, addictive respondents showed high financial knowledge and financial wellbeing. Financial knowledge and financial wellbeing were positively related to online shopping addiction. Financial wellbeing was a better predictor because it might be possible that individuals with positive feelings on their financial conditions were more comfortable in increasing their online spending behavior. The results of this study provide insights for future studies and e–commerce owners. Keywords: Online shopping addiction, financial knowledge, financial wellbeing .

Burnout and Employee Performance in Hospitality Industry: The Role of Social Capital

Abstract: The hospitality industry is known for its labor-intensive and intense interpersonal relationships characteristic. The high rate of burnout in hospitality industry has been a crucial issue. The burnout could lead to employee performance decline. The previous studies suggested that the happy and cooperative employees tend to deliver a better performance. Since cooperative is a part of social capital, this study aims to analyse the role social capital in reducing burnout and improving employee performance.The data collection was conducted by distributing questionnaires to all of non-daily worker employees at the first-line and middle-line level in three budget hotels in the similar chained hotel group in Surabaya. We processed the data using partial least square analysis technique.The result reveals that the social capital have a significant negative influence on burnout, and a significant positive influence on employee performance. We also ascertain that burnout have a significant negative influence on employee performance.

The Analysis of Student Performance Using Data Mining

Abstract: This paper presents the study of data mining in the education industry to model the performance for students enrolled in university. Two algorithms of data mining were used. Firstly, a descriptive task based on the K-means algorithm was utilized to select several student clusters. Secondly, a classification task supported two classification techniques, known as decision tree and Naive Bayes, to predict the dropout because of poor performance in a student’s first four semesters. The student academic data collected during the admission process of those students were used to train and test the models, which were assessed using a cross-validation technique. Experimental results show that the prediction of drop out student is improved, and student performance is monitored when the data from the previous academic enrollment are added.

The Impact of Organizational Commitment on Upgrading ERP for Maintaining the Quality of Information and the ERP Performance

Abstract: This study examines the impact of organizational commitment on upgrading ERP for maintaining the quality of information and the performance. Many manufacturing companies in East Java have been implementing ERP in managing their business. Although the ERP postimplementation has been continuously maintained by these companies, the inevitable changes and development in the current business practices have forced them to upgrade their ERP infrastructure. All ERP system upgrades require a commitment from both management and employees, which is also known as the organizational commitment. This research used the population of 110 manufacturing companies in the region of East Java which have been implementing ERP for more than two years. The response rate is quite good, as many as 90 questionnaires out of 110 distributed questionnaires are completed by the respondents. Data analysis has been performed using partial least square (PLS) technique. The result demonstrated that the organizational commitment brings a significant impact to the ERP infrastructure upgrade. While the organization commitment shows a significant impact on the information quality. The organization commitment does not show a direct impact towards the ERP performance. Similarly, the ERP infrastructure upgrade also shows a significant impact on the information quality. The ERP infrastructure upgrade does not show a direct impact on the ERP performance. The information quality contributes a positive impact on the ERP performance. In total the organizational commitment affects directly and indirectly the ERP performance. The management commitment empowers the key user to be aware of the ERP system upgrading all the time. By keeping the ERP to the most up-to-date condition will contribute to the high quality of the information. Furtherly, the best information quality provides the appropriate information in term of the right time and the right information in the decision making process. The appropriate information enables the top management to decide in the pursuit of improving the company performance.

The Impacts of Intellectual Capital on Financial Performance: An Evidence From Indonesian Manufacturing Industry

Abstract: The purpose of the research was to provide an examination of the impacts of the intellectual capital on the firms' financial performance that is focusing on profitability, productivity, and market value. It was conducted on manufacturing companies in Indonesia which were listed in Indonesian Stock Exchange (IDX). The samples of this research were 93 listed manufacturing companies with the total number of 465 firm-year observations in five years. VAIC method by Pulic was used in measuring the intellectual capital in this research. Based on VAIC approach, intellectual capital consisted of human capital (HCE), structural capital (SCE), and capital employed (CEE). There were ten regression models used to assess all the relationships of independent and dependent variables. The result showed that VAIC had significant relationship towards financial performance but not towards the market value of the companies. While in regards to each component, HCE was found to have no correlation towards both market value and financial performance. The SCE was found to have a negative significant relationship only towards the market value. Meanwhile, CEE was proved to have a significant relationship towards both market value and financial performance. Keywords: intellectual capital, financial performance, market value, VAIC, manufacturing industry

Pengaruh Kualitas Layanan terhadap Kepuasan Pelanggan Noach Cafe And Bistro

Abstract: Penelitian ini bertujuan untuk mengetahui pengaruh Kualitas Layanan terhadap Kepuasan Pelanggan Noach Cafe and Bistro. Pengumpulan data dilakukan dengan cara penyebaran angket. Jenis penelitian yang digunakan adalah penelitian kuantitatif. Jumlah sampel yang ditetapkan pada penelitian ini sebanyak 100 responden. Metode pengumpulan data penelitian dilakukan melalui penyebaran angket dengan menggunakan lima poin skala likert sebgai alat ukur. Teknik analisis data dalam penelitian ini menggunakan analisis linier sederhana dengan uji kelayakan model (uji F) dan uji regresi parsial (uji t). Proses pengolahan data dilakukan dengan menggunakan program Statistical Package for Social Science (SPSS) 23. Hasil dari penelitian ini menunjukkan bahwa terdapat pengaruh signifikan Kualitas Layanan terhadap Kepuasan Pelanggan Noach Cafe and Bistro.

Do environmental performance and disclosure bring financial outcome? Evidence from Indonesia

Abstract: In some developing countries such as Indonesia, there is a lack of regulatory controls in social responsibility performance and disclosure. Therefore, this paper is conducted to study the level of social responsibility performance and disclosure, as well as to investigate the relationship of environmental performance with a financial outcome, using environmental disclosure as the mediation variable. A firm's environmental performance is measured by PROPER score and the environmental disclosure with GRI index. Results show that firms' financial outcome is significantly affected by their environmental action (PROPER score and GRI Index). However, the findings also indicate that both environmental disclosure and profitability together are able to mediate the relationship between environmental performances and firms. The findings suggest that, in general, the majority of firms need to follow the GRI guidelines for reporting environmental information; therefore the investors should consider this information when making investment decisions.

Analisa pengaruh kualitas layanan terhadap kepuasan pelanggan menginap di empat virtual hotel operator di surabaya

Abstract: ABSTRAK Penelitian ini dilakukan untuk menganalisis pengaruh kualitas layanan melalui variabel tangible, reliability, responsiveness, assurance dan empathy terhadap kepuasan konsumen yang menginap di Virtual Hotel Operator di Surabaya. Jenis penelitian ini adalah penelitian kausal kuantitatif menggunakan teknik analisa deskriptif dan regresi linier berganda. Hasil penelitian menunjukan bahwa kelima variabel secara simultan memiliki pengaruh yang positif dan signifikan terhadap kepuasan konsumen tetapi secara parsial, hanya variabel tangible, assurance dan empathy yang berpengaruh positif dan signifikan terhadap kepuasan konsumen. Variabel em pathy menjadi variabel yang paling dominan dalam mempengaruhi kepuasan konsumen. Kata Kunci: Kepuasan Konsumen, Kualitas Layanan, Virtual Hotel Operator ANALYSIS OF SERVICE QUALITY TO CUSTOMER SATISFACTION STAYING AT VIRTUAL HOTEL OPERATOR SURABAYA ABSTRACT The research was conducted to analyze the influnced of service quality through 5 variables which were tangible, reliability, responsiveness, assurance and em pathy to customer satisfaction staying at Virtual Hotel Operator in Surabaya. The thpe of research is a quantitative causal research, by using descriptive analysis techniques and multiple linear regression. The results showed that all 5 variables simultaneously had a positive and significant effect on customer satisfaction, but partially, only tangible, assurance and empathy that had positive and sig nificant effect on customer satisfaction. Empathy was the most dominant variable that influence customer satisfaction . Keyword: Customes Satisfaction, Service Quality, Virtual Hotel Operator

Strategy to Improve Recycling Yield of Aluminium Cans

Abstract: Millions of canned drinks are consumed everyday globally and their wastes create an enviromental issue. Fortunately, the cans are made from aluminium (Al) so that it can be recycled. There are two main keypoints existing during the recycling process of Al cans, i.e. the aluminium loss or low Al-yield and low recycling yield. This work outlines the strategies to improve the recycling perfomance for Al beverage cans, i.e. by adding drossing flux, applying improved melting strategy, and cans decoating prior to melting. Drossing flux was added to assist the detachment of Al from the slag. Another improved melting strategy was worked out by decreasing exposure time cans to the furnace atmosphere during melting. All those above strategies result in an increase of recycle yield in a range of 4 % to 5 %.

Ethnic Group Differences in Dietary Diversity of School-Aged Children in Indonesia: The Roles of Gender and Household SES.

Abstract: Background:Despite the importance of dietary diversity for nutritional status, studies on issues surrounding ethnicity and dietary diversity in developing countries are limited.Objective:We analyze...

Dual process of dual motives in real estate market Indonesia

Abstract: Purpose The dual process of thinking between conscious processes and unconscious processes generate a different decision. Thinking consciously produces rational decisions. However, a person’s cognitive limitation makes him or her simplify complex scenarios and think implicitly result in making decision in heuristics or rules of thumbs. This paper aims to evaluate patterns of decision-making relationships and dual motives for home purchasing by first home buyers and family life cycle in Indonesia. Design/methodology/approach Collecting data was done by distributing questionnaires to home buyers within three years (2013-2016). Further data were processed using ANOVA based on group of dual motives, time for buyer and family life cycle. Findings The results show that buyers have consumption motives in buying a residence and they behave rational, while investors prefer to buy an apartment and tend to behave heuristics. Dual motives of time for buyers are not significant to decision model. Family life cycle is significant to decision model based on dual motives. Originality/value This is an unpublished dissertation study to qualify for graduation.

Kajian Antropometri & Ergonomi Desain Mebel Pendidikan Anak Usia Dini 3-4 Tahun di Siwalankerto

Abstract: The furniture for early childhood in Siwalankerto does not suitable with the anthropometry and not ergonomic when used for children with the age of 3-4 years old that have more activities which involved furniture. This experiment must be done with the study of anthropometry and ergonomically suitable for aerly childhood with the age of 3-4 years old in Siwalankerto. This research was ained to get the exact athropometry for 3-4 years old children and to decide the furniture size ergonomically, so that it would be comfortable and reduce the abnormalities caused by the failure in furniture dimension. This research used quantitative with the survey explanation format. The result of this experiment was the dimension of early childhood in Siwalankerto with the age of 3-4 years old and the fit dimension of furniture based on the anthropometry.