Santoso Wibowo

Santoso Wibowo
Central Queensland University · School of Engineering and Technology

Ph.D.
CQUniversity

About

161
Publications
40,822
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,105
Citations
Additional affiliations
January 2022 - present
Central Queensland University
Position
  • Professor (Associate)
January 2012 - present
Central Queensland University
Position
  • Professor (Associate)
September 2011 - December 2012
Central Queensland University
Position
  • Adjunct Research Fellow
Education
June 2011
RMIT University
Field of study
  • Business Information Systems
August 2008
RMIT University
Field of study
  • Business Computing
October 1998 - February 1999

Publications

Publications (161)
Article
This paper presents a fuzzy multicriteria group decision making approach for selecting information systems projects. The inherent subjectiveness and imprecision of the selection process is modeled by using linguistic terms characterized by triangular fuzzy numbers. To avoid the complex and unreliable process of comparing fuzzy numbers usually requi...
Article
This paper presents an intelligent decision support system for evaluating and selecting specific ships under uncertainty. A task-oriented procedure is developed for determining the relative importance of the evaluation and selection criteria with respect to a specific shipping task. A fuzzy multicriteria analysis algorithm is developed for determin...
Article
In practical situations, a decision maker often has to deal with numerous alternatives in evaluating and selecting the most suitable international distribution centre (IDC) location for enhancing the organizational competitiveness. To improve the effectiveness of the decision making process, it is critical to reduce the number of alternatives throu...
Conference Paper
Full-text available
This paper formulates the selection of information systems (IS) projects as a multicriteria analysis problem, and presents a fuzzy approach for effectively solving the problem. Linguistic variables approximated by fuzzy numbers are used to represent the subjective assessments of the decision maker so that the uncertainty and imprecision inherent in...
Article
Full-text available
This paper presents a rule-based decision support system (DSS) for facilitating the adoption of the most appropriate multicriteria analysis (MA) method in solving information systems (IS) project evaluation and selection problems. A knowledge base consisting of IF-THEN production rules is developed for assisting with a systematic adoption of the mo...
Chapter
This paper presents the development of a deep learning approach for detecting and localizing lantana weed in the natural environment. Based on the YOLO framework, object detection in images is accomplished through convolutional neural networks. By using the DeepWeed dataset which was collected from eight locations across northern Australia, we have...
Article
For decades, research and practice have recognized the significant effects of risk aversion and uncertainty avoidance on consumer behavior. These two concepts are often used interchangeably and studied as an integrated factor in marketing literature. Despite the relationship between risk aversion and uncertainty avoidance, it is necessary to differ...
Article
Full-text available
Several studies have used machine learning algorithms to develop intrusion systems (IDS), which differentiate anomalous behaviours from the normal activities of network systems. Due to the ease of automated data collection and subsequently an increased size of collected data on network traffic and activities, the complexity of intrusion analysis is...
Chapter
This book analyses higher education's digital transformation and potential disruption from a holistic point of view, providing a balanced and critical account from a variety of interdisciplinary viewpoints. It looks at case studies on educational and emerging technology, their impact, the potential risk of digitalization disrupting higher education...
Conference Paper
Previous studies have been conducted on the importance of students' personality traits in their acceptance of e-learning services. However, there is a lack of research on the effects of students' personality traits on their academic performance and long-term stickiness in e-learning usage, and how these effects are moderated by their students' enga...
Article
Intrusion Detection Systems (IDS) based on deep learning models can identify and mitigate cyberattacks in IoT applications in a resilient and systematic manner. These models, which support the IDS’s decision, could be vulnerable to a cyberattack known as adversarial attack. In this type of attack, attackers create adversarial samples by introducing...
Article
Full-text available
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model to automatically extract features and learn from the datasets. Meanwhile, smart farming technology enables the farmers to achieve maximum crop yield by extracting essential parameters of crop growth. This systematic literature review highlights the existing...
Article
The COVID-19 pandemic has had an unprecedented impact on leisure tourists’ risk and uncertainty perceptions. Despite the importance of tourists’ perceived risks and uncertainties in their decision-making, there is a lack of research that simultaneously tests the effects of these two factors as different and multiple-dimensional constructs. Thus, th...
Article
Full-text available
User-generated multi-media content, such as images, text, videos, and speech, has recently become more popular on social media sites as a means for people to share their ideas and opinions. One of the most popular social media sites for providing public sentiment towards events that occurred during the COVID-19 period is Twitter. This is because Tw...
Article
Solid waste generation and its impact on human health and the environment have long been a matter of concern for governments across the world. In recent years, there has been increasing emphasis on resource recovery (reusing, recycling and extracting energy from waste) using more advanced approaches such as artificial intelligence (AI) in Australia...
Article
Full-text available
Purpose-The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and communication and their impact on job performance in organizations. Design/methodology/approach-A conceptual model is developed within the background of the social capital the...
Conference Paper
Today, financial technology (FinTech) has become a buzzword in the financial services industry. This new world of FinTech will be revolutionary, as it provides a way for startup firms to challenge the financial services industry that has historically been dominated by large banks. This fascinating revolution in the industry has created a demand for...
Article
Full-text available
The coronavirus (COVID-19) pandemic has created a global medical emergency. The unforeseen occurrence of a pandemic of this magnitude has resulted in overwhelming levels of medical waste and raises questions about management and disposal practices, and environmental impacts. The amount of medical waste generated from COVID-19 since the outbreak is...
Article
Full-text available
The use of financial technologies (Fintech) has increased recently due to their support to financial institutions in managing their financial operations and achieving competitive advantages. Even though there are several benefits with Fintech development and implementation, selecting the most suitable Fintech project can be complex. This is due to...
Article
Full-text available
Much attention has been given to the use of extended reality (XR) technology in educational institutions due to its flexibility, effectiveness, and attractiveness. However, there is a limited study of the application of XR technology for teaching and learning languages in schools. Thus, this paper presents a systematic review to identify the potent...
Conference Paper
Full-text available
COVID-19 resulted in a broader gap in economic and educational inequalities. The abrupt shift to online learning forced educational stakeholders in developing economies to revisit policies, strategies, and pedagogies to sustain education despite contemporary challenges. For some students, COVID-19 and online learning ushers in an unexpected opportu...
Conference Paper
Full-text available
The sudden transformation of the educational landscape due to COVID-19 highlighted the need to embrace technology to sustain continuous professional learning. Wider Internet use, availability of technology platforms, and restrictions brought about by the pandemic have led to the proliferation of webinars. While generally effective in delivering its...
Article
Full-text available
Due to the rapid increase in the use of electrical and electronic equipment (EEE) worldwide, e-waste has become a critical environmental issue for many governments around the world. Several studies have pointed out that failure to adopt appropriate recycling practices for e-waste may cause environmental disasters and health concerns to humans due t...
Article
Full-text available
This paper explores the role of stakeholders’ trust in the adoption of smart city technologies, leading to the identification of the critical determinants for adopting smart city technologies in Australian regional cities. A comprehensive review of the related literature has been conducted. Such a review leads to the development of a trust-based re...
Article
Purpose The purpose of this study is to examine the effects of consumer ethnocentrism and animosity on the importance of country-of-origin in food product evaluation. It also tested the moderating effect of purchase frequency. Design/methodology/approach Data were collected from dairy consumers residing in China. The research model was tested usin...
Chapter
This paper presents an integrated non-linear method for sentiment classification of online reviews. Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) utilizing Bidirectional LSTM (BiLSTM) are adopted in the research as they have demonstrated great information displaying abilities when testing large datasets from a wide scope of...
Chapter
This paper presents a new performance index for evaluating the performance of smart city projects under fuzzy environment. This performance index shows a smart city project’s overall performance level, relative to other projects in terms of its performance. To facilitate the use of the index as a performance management tool, three most important cr...
Article
Waste generated from electrical and electronic equipment collectively known as e-waste has remained a persistent environmental problem. Globally, approximately 53.6 million tons of e-waste was generated in 2019. Of this amount generated, less than 13 percent was recycled and the rest ended up in landfills or incinerators creating enormous environme...
Article
Full-text available
Agriculture decision support systems (DSSs) play an important role in facilitating evidence-based agricultural decision-making for improving agribusiness productivity. Evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness is, however, challenging due to the existence of production and marketing alternatives, a v...
Article
Full-text available
Extreme learning machine (ELM) is a popular randomization-based learning algorithm that provides a fast solution for many regression and classification problems. In this article, we present a method based on ELM for solving the spectral data analysis problem, which essentially is a class of inverse problems. It requires determining the structural p...
Conference Paper
Full-text available
Widespread misinformation on social media is high, and this is made worse during a public health crisis. While literature on technological solutions to combat misinformation abounds, limited studies have investigated the psychology behind why misinformation is in rapid diffusion in this digital platform. Using a sample of 209 students, we tested th...
Chapter
Smart farming has become imperative these days due to competition, and use of Unmanned Aerial Vehicle (UAV) imagery is becoming an integral part of the process. Machine learning techniques have been successfully applied to capture UAV imagery of various spectral bands to identify weed infestations. Identification of weeds in chilli crop is a challe...
Conference Paper
The purpose of this proposed research is to identify how human, organization, technology, environment, and information quality factors impact on the perceived risk and trust of the stakeholders towards their intention to adopt cloud computing. To accomplish this goal, the Technology Acceptance Model (TAM), Technology-Organization-Environment (TOE)...
Chapter
This paper presents a multicriteria group decision making approach for effectively evaluating the sustainable performance of urban mobility projects. The subjectiveness and imprecision of the performance evaluation process is adequately modeled by using intuitionistic fuzzy numbers. To avoid the complex and unreliable process of comparing fuzzy num...
Chapter
This paper formulates the renewable power generation sources’ performance evaluation problem as a multicriteria group decision making problem, and presents a new multicriteria group decision making approach for effectively evaluating the performance of renewable power generation sources. The subjectiveness and imprecision of the decision making pro...
Chapter
This paper presents a multicriteria assessment model for evaluating the sustainable performance of intelligent buildings. Interval-valued intuitionistic fuzzy numbers are used for representing the subjective and imprecise assessments of the decision makers in evaluating the relative importance of the criteria and the sustainable performance of indi...
Article
Full-text available
This paper presents a fuzzy multicriteria analysis model for evaluating the performance of Internet of Things (IoT)-based supply chains. The inherent uncertainty and imprecision of the performance evaluation process was handled by using intuitionistic fuzzy numbers. A new fuzzy multicriteria group decision making algorithm based on the technique or...
Article
Fast neural network techniques - ELM and RBF networks are used to solve the traditional curve fitting problems, where the localized effect of network basis function is corrected by introducing a linear neuron. Numerical experiments demonstrate that the neural-based method is accurate and well-suited for fitting large volume of data.
Article
Full-text available
This paper presented a multicriteria assessment model for evaluating the performance of combined heat and power systems. Interval-valued intuitionistic fuzzy numbers were used for representing the subjective and imprecise assessments of the decision maker in evaluating the relative importance of the criteria, and the performance of individual combi...
Article
Full-text available
This paper presents a multi-criteria group decision making model for effectively evaluating the performance of green supply chain management (GSCM) practices under uncertainty in an organization. The subjective assessments of individual decision makers are appropriately represented with the use of intuitionistic fuzzy numbers for better tackling th...
Article
Purpose The purpose of this paper is to present a review of the main factors that are important to consumers of dairy products and develop a new product performance index for evaluating and benchmarking the performance of dairy products. This helps dairy product companies understand their dairy products’ overall performance level, relative to other...
Conference Paper
Cloud services have gained popularity due to the number of advantages they provide to organizations and individuals such as reduced cost, better storage, and improved performance. However, a lot of organizations are still not willing to shift their traditional in-house services to the Cloud due to the various security implications. Many Cloud servi...
Chapter
This paper presents multicriteria decision-making approach for selecting the optimal location of waste electrical and electronic equipment (WEEE) treatment plants. Hesitant fuzzy set is used to deal with the situations in which the decision maker hesitates among several values to assess the alternatives. A hesitant fuzzy Hamacher geometric operator...
Chapter
This paper presents a multicriteria group decision making method for evaluating the sustainability performance of groundwater remediation technologies. Interval-valued based intuitionistic fuzzy numbers are used to deal with the inherent vagueness and imprecision of the performance evaluation process. An efficient algorithm is developed for produci...
Article
Full-text available
Biometric security is a fast growing area that gains an increasing interest in the last decades. Digital encryption and hiding techniques provide an efficient solution to protect biometric data from accidental or intentional attacks. In this paper, a highly secure encryption/hiding scheme is proposed to ensure secure transmission of biometric data...
Article
Full-text available
This study sought students' views about e-exams at CQUniversity with its multiple campus locations. Data were gathered by conducting four focus group interviews with students enrolled at three different courses. After completing the e-exams consisting of short-answers and essay-type questions, the students participated in a focus group interviews....
Conference Paper
In this article, we introduce a novel method for solving curve fitting problems. Instead of using polynomials, we extend the base model of radial basis functions (RBF) neural network by adding an extra linear neuron and incorporating the Bayesian learning. The unknown function represented by datasets is approximated by a set of Gaussian basis funct...
Article
The dairy incident in 2008 influenced Chinese residents' attitudes towards domestic and foreign brands in the market. This paper highlights the strong consumer perceptions existing in the Chinese dairy market towards the country of origin of dairy products. Chinese residents generally believe dairy products from foreign countries are superior than...
Article
Full-text available
Evaluating the performance of recoverable end-of-life products with respect to a set of specific criteria is challenging. This is due to multi-dimensional nature of the decision making process, multiple evaluation criteria, and subjective and imprecise assessments. To effectively deal with this issue, this paper presents a multicriteria decision ma...