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  • Efficient Sampling-Based for Mobile Robot Path Planning in a Dynamic Environment Based on the Rapidly-Exploring Random Tree and a Rule-Template Sets

    Efficient Sampling-Based for Mobile Robot Path Planning in a Dynamic Environment Based on the Rapidly-Exploring Random Tree and a Rule-Template Sets

    Authors: Muhammad Aria Rajasa Pohan, Jana Utama

    DOI: 10.5829/ije.2023.36.04a.16

    Abstract

    This study presents an efficient path planning method for mobile robots in a dynamic environment. The method is based on the rapidly-exploring random tree (RRT) algorithm. The two primary processes in mobile robot path planning in a dynamic environment are initial path planning and path re-planning. In order to generate a feasible initial path with fast convergence speed, we used a hybridization of rapidly-exploring random tree star and ant colony systems (RRT-ACS). When an obstacle obstructs the initial path, the path re-planner must be executed. In addition to the RRT-ACS algorithm, we proposed using a rule-Template set based on the mobile robot in dynamic environment scenes during the path re-planner process. This novel algorithm is called RRT-ACS with Rule-Template Sets (RRT-ACS+RT). We conducted many benchmark simulations to validate the proposed method in a real dynamic environment. The performance of the proposed method is compared to the state-of-The-Art path planning algorithms: RRT∗FND and MOD-RRT∗. Numerous experimental results demonstrate that the proposed method outperforms other comparison algorithms. The results show that the proposed method is suitable for the use on robots that need to navigate in a dynamic environment, such as self-driving cars. © 2023 Materials and Energy Research Center. All rights reserved.

    Author keywords

    Dynamic Environment; Efficient Sampling; Path Planning; Rapidly-exploring Random Tree; Rule-Template Sets

    This article can be accessed at https://www.scopus.com/pages/publications/85152951615

  • Computational Bibliometric Analysis Of Evolutionary Game Theory (EGT) Research Using Vosviewer

    Computational Bibliometric Analysis Of Evolutionary Game Theory (EGT) Research Using Vosviewer

    Authors: Rizky Jumansyah, Eddy Soeryanto Soegoto, Chepi Nur Albar

    Abstract

    Evolutionary Game Theory (EGT) applies mathematical theory to the biological context, providing an analytic framework, contest, and strategy. The assumption underlying EGT is that human behavior, whether in games or decision-making problems, often does not arise from rational reasoning. This study aimed to perform a bibliometric analysis of EGT using VOSviewer software to map the research landscape. The approach used was bibliometric and descriptive quantitative, with data obtained from a Google Scholar search for articles with the keyword “Evolutionary game theory” using the publish or perish application. The search yielded 990 articles published between 2017-2021. The results showed that research on EGT peaked in 2017-2019 but declined in 2020 and 2021. In conclusion, this study highlights the importance of bibliometric analysis, particularly in the field of EGT, and provides a reference for future research on this topic. © School of Engineering, Taylor’s University.

    Author keywords

    Bibliometric; Data analysis; Evolutionary game theory; Game; Publish or perish; VOSviewer

    This article can be accessed at https://www.scopus.com/pages/publications/85158098948

  • Pupil Center Detection Using Radial Symmetry Transform to Measure Pupil Distance in the Eye

    Pupil Center Detection Using Radial Symmetry Transform to Measure Pupil Distance in the Eye

    Authors: Utama J, Fitriani V. R. L

    DOI: 10.5829/ije.2023.36.05b.04

    Abstract

    In patients with refractive errors or impaired vision, light rays received by the pupil do not fall directly onto the retina. This can be corrected by wearing monocled glasses. The focal point of the eyeglass lens needs to be adjusted to the center of the user’s pupil. This can be known through the measured pupil distance (PD) value information. The measurement of the PD is very important to determine the center distance of the pupils in both eyes. where the eye does not experience the prism effect. This study aims to apply the radial symmetry transformation (RST) method combined with self-quotient (SQI) imagery to detect the pupillary center and measure PD. This algorithm combines to get more optimal results in detecting the center of the pupil in dark conditions or those exposed to shadow illumination. The program created using the MATLAB software simulates PD measurements for pupillary center detection in bright and dark images conditions. The test was carried out ten times, and the results showed that the system was able to measure PD on low-resolution images of 300 x 300 pixels at 72 dpi in bright image conditions; with measurement uncertainty values in each image of 0.60 mm. As for testing on dark images, the uncertainty values are 0.80 mm. In this case, the standard deviation value is obtained from the effect of the different dimensions of the face object on the tested image. © 2023 Materials and Energy Research Center. All rights reserved.

    Author keywords

    Euclidean Distance; Pupil Distance; Radial Symmetry Transform; Self Quotient Image

    This article can be accessed at https://www.scopus.com/pages/publications/85158848120

  • Designing a Learning System Based on Intelligent Tutoring System Using Design Science Research

    Designing a Learning System Based on Intelligent Tutoring System Using Design Science Research

    Authors: Bobi Kurniawan, Meyliana M, Harco Leslie Hendric Spits Warnars, Bambang Suharjo

    Abstract

    The development of technology especially computers has now been widely used in the field of education. The application of technology in helping the education process today continues to develop toward an intelligent tutoring system. An Intelligent Tutoring System (ITS) is an intelligent guidance system with adjustments to learning models to individual needs. Building an Intelligent Tutoring System not only focuses on building software but also requires adaptation and application of other technologies that can help adapt the curriculum into an intelligent learning system. This study aims to review and design the needs for the development of an Intelligent Tutoring System in the learning system. The framework or design of the Intelligent Tutoring System is designed using the Design Science Research approach which consists of identification and motivation, goal setting, design and development, demonstration, evaluation, and communication. The proposed framework can be a guide in designing an Intelligent Tutoring System, especially in an electronic-based learning system (e-learning). The development of the framework is carried out with stages in the design science research, namely by identifying problems in e-learning, objectives, design and development of intelligent tutoring system based e-learning, evaluation and communication. With this framework, it can make it easier to manage e-learning by using an intelligent tutoring system © School of Engineering, Taylor’s University.

    Author keywords

    Design science research; Framework; Information system; Intelligent tutoring system; Learning

    This article can be accessed at https://www.scopus.com/pages/publications/85164667966

  • Information Technology in Evolutionary Strategic Management: Decision Support System in Smart University

    Information Technology in Evolutionary Strategic Management: Decision Support System in Smart University

    Authors: Senny Luckyardi, Agus Rahayu, Lili Adiwibowo, Ratih Hurriyati

    Abstract

    Decision Support Systems (DSS) refer to computerized information systems that encompass knowledge-based systems and knowledge management to provide assistance for decision-making in businesses or organizations. DSS tools have created from the evolutionary concept of data processing and management information system (MIS). In the connection of strategic management, SS combines human intellectual resources with computer capabilities to enhance the quality of decision-making. A manager/leader and computers must work together as a problem-solving team in organization. Despite the evolutionary strategic management issue of DSS in a company, the utilization of DSS in smart university management are still interesting topic to be studied. Due to tighter competitiveness in higher education, the universities must apply Information and Communication Technologies (ICT) to support their competitive advantage and brand themselves as a smart university. The novelty of the research is in combining DSS in the framework of smart university. Although the concept of Smart in the education area involves the emergence of technologies such as DSS, as the consequence of various terminology in the domain of IT-based university, the elements of smart university are widespread and fragmented. This paper aimed to define how DSS works in diverse explicit circumstances or settings by investigating its smart university readiness index. The method use analysis descriptive and DSS of a private university was analysed as a model in this research. The results showed that DSS has a strong relation with term “smart university” and effective to be used as strategic management tools and to help top management decide an appropriate decision making. Thus, ICT is gradually becoming very imperative for assisting the processes of decision making, especially in smart university domain. © School of Engineering, Taylor’s University.

    Author keywords

    Decision support system; Information technology; Smart university; Strategic management

    This article can be accessed at https://www.scopus.com/pages/publications/85164533986

  • Implementation of Game-Based Learning in Entrepreneur Education Using the Prototype Method

    Implementation of Game-Based Learning in Entrepreneur Education Using the Prototype Method

    Authors: Constantino Fernandes Seixas Amaral, Eddy Soeryanto Soegoto

    Abstract

    The aim of this study was to analyse the impact of Game-based Learning on entrepreneur education using the prototype method. The prototype method was used in this study, consisting of five stages: data collection, system analysis, coding, implementation, and maintenance. Through Game-based learning, students were able to engage in a game related to entrepreneurship, comprising of puzzles and questions, in the form of a web application. Game-based learning was designed to help students understand common knowledge about entrepreneurship, and the researchers hope that it will encourage them to learn more about entrepreneurship and ultimately motivate them to become entrepreneurs. © School of Engineering, Taylor’s University.

    Author keywords

    Entrepreneur education; Game-based learning; Prototype method

    This article can be accessed at https://www.scopus.com/pages/publications/85164411143

  • Computational Bibliometric Analysis of Education Technology Using Vosviewer Application with Publish or Perish (Using Google Scholar Data)

    Computational Bibliometric Analysis of Education Technology Using Vosviewer Application with Publish or Perish (Using Google Scholar Data)

    Authors: Tegar Ahmad Fauzan, Eddy Soeryanto Soegoto

    Abstract

    Education is an activity that provides direction in the growth process that starts in childhood, aimed at developing one’s self-potential and strengths in various ways to be able to carry out life tasks independently. The goal of this study is to perform bibliometric computational analysis by integrating mapping analysis with VOSviewer software and data collection using Publish or Perish software. The method used is a bibliometric and descriptive quantitative approach. The data was obtained by searching the term “Education Technology” on Google Scholar using Publish or Perish software, which yielded 989 articles published between 2017 and 2021. However, only 52 of these articles were found to be relevant to the research topic. Based on the research conducted during the period of 2017-2021, there has been a decline in the number of relevant articles published each year. For instance, in 2017, 295 articles were published, whereas in 2018, 274 articles were published, in 2019, 213 articles were published, in 2020, 164 articles were published, and in 2021, only 43 articles were published. This research highlights the importance of conducting bibliometric analysis, especially on the topic of “Education Technology”. It is hoped that this research will serve as a reference for authors who wish to determine the theme to be studied in their research © School of Engineering, Taylor’s University.

    Author keywords

    Bibliometric; Education technology; Publish or perish; VOSviewer

    This article can be accessed at https://www.scopus.com/pages/publications/85164524304

  • A Bert Model to Detect Provocative Hoax

    A Bert Model to Detect Provocative Hoax

    Authors: Rio Yunanto, Eri Prasetyo Wibowo, Rianto R

    Abstract

    The information flood makes social media users vulnerable to becoming victims of provocative hoaxes or even spreading hoaxes themselves. This research examines the capabilities of two variants of Bidirectional Encoder Representations from Transformers (BERT) models for the Indonesian language (IndoBERT Base Model and Indonesian BERT base model 522M) in developing the detection of provocative hoaxes in the Indonesian language. The proposed method used two variants of the monolingual BERT model for the Indonesian language from the Huggingface library. The proposed method’s architectural flow starts with data collection and labelling from community hoax collector websites, followed by pre-processing. The cleaned data is then divided into training and test data to proceed to the fine-tuning stage, where several layers and weights of the BERT model are adjusted to fit the desired classification task. The experimental results of the study show that the recommended Indonesian BERT variant for the detection of provocative hoaxes is the IndoBERT Base Model with a learning rate of 1e-5, a batch size of 32, and a maximum length limit of 128 tokens, achieving an average training accuracy of 99,22%, with a training time of 21min 52s. The research findings also indicate that a learning rate 1e-5 can produce better test accuracy than a learning rate of 2e-5 or 3e-5. The detection model of provocative hoaxes using Indonesian BERT variants needs to be improved, especially in terms of collecting a large amount of hoax data, to enhance the accuracy of the provocative hoax detection model. © School of Engineering, Taylor’s University.

    Author keywords

    Accuracy; Classification; Hoax; Provocative; Transformer

    This article can be accessed at https://www.scopus.com/pages/publications/85180943734

  • The Production of Mingling Spaces as a Form of Children’s Mobility

    The Production of Mingling Spaces as a Form of Children’s Mobility

    Authors: Dhini Dewiyanti, Andiyan, Dianna Astrid Hertoety, Tri Widianti Natalia

    DOI: 10.13189/cea.2023.110613

    Abstract

    The city of Bandung in Indonesia is facing challenges due to the decreasing availability and high prices of land. This has resulted in settlements that do not meet the basic housing requirements, including providing open spaces or communal areas for residents. As part of the community, children are particularly affected by spatial injustice caused by the lack of space, specifically for playing. Furthermore, children in Bandung often visit play areas in other communities. Preliminary research are indicating some interesting phenomena, including 1) the existence of spaces in settlements that are only used by children from the specific community and 2) the existence of spaces that are shared and used by children from various surrounding settlement areas. These shared spaces, where children from different areas come together to play, are called “mingling spaces”. Therefore, this research aims to identify and understand the mingling spaces that emerge from children’s activities during their collective play. It was conducted in three settlement areas in North Bandung with shared play spaces. Data were collected by observing the play behaviour of children aged 4-12. Spatial analysis using social constructivism methods provides an understanding of the mingling spaces between two different communities. Mingling spaces in this research are manifested as a “third space” referred to as the ‘Dynamic Third Space’. Mingling space is dynamic because it is temporal, tends to disappear at any time, and can be permanent and also mobile. Mingling spaces exist due to shared goals, time, and access. These findings indicate a tendency towards spatial injustice, specifically for children, in obtaining their rights to suitable play spaces. © 2023 by authors. All rights reserved.

    Author keywords

    Children’s Play; Mingling Space; Mobility; Planned and Unplanned Settlements; Spatial Identification

    This article can be accessed at https://www.scopus.com/pages/publications/85173921870

  • The Ensemble Method and Scheduled Learning Rate to Improve Accuracy in CNN Using SGD Optimizer

    The Ensemble Method and Scheduled Learning Rate to Improve Accuracy in CNN Using SGD Optimizer

    Authors: Suhirman S, Rianto R, Insap Santosa, Rio Yurianto

    Abstract

    Indonesia is an agricultural country where most people work as farmers. As an agricultural country, Indonesia produces staple foods, such as rice, corn, sago, and fruits. This research uses the Convolutional Neural Network (CNN), one of the popular algorithms in Deep Learning to classify two varieties of fruit using Stochastic Gradient Descent (SGD) optimizer. The data used in this research is the primary data collected using a smartphone camera. The data are 400 images of two fruit varieties, Mango, and Avocado. The main research objective is to obtain the highest accuracy by modifying the classifier model and learning rate. The model modification, this research uses an ensemble system while in learning rate using an exponential scheduled learning rate. The result shows that the accuracy of the ensemble system is 0.99, the scheduled learning rate is 0.97, while without modifications is 0.53, respectively. However, when using the SGD optimizer to train CNN, it is advised to use a predefined learning rate. A shorter training period with sufficient model accuracy and practicality supports the scheduled learning rate. © 2023 Taylor’s University. All rights reserved.

    Author keywords

    CNN; Ensemble; Learning rate; SGD

    This article can be accessed at https://www.scopus.com/pages/publications/85183973721