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  • Numerical Simulation of Embankment Settlement in Vacuum Preloading Systems

    Numerical Simulation of Embankment Settlement in Vacuum Preloading Systems

    Authors: Mulyawati I. B, Riza M, Dermawan H, Pratiwi V

    DOI: 10.5829/ije.2023.36.04a.18

    Abstract

    In Indonesia, the construction of the road has challenges because the road was built on soft clay soil. The vacuum preloading method was used to improve the shear strength and compressibility properties of soft soil in this project. Moreover, what needs to be a concern for practitioners is the issue of increasing simulation accuracy in predicting soil settlement in a vacuum preloading system. The research objective of this study was to determine changes in soil settlement behavior that occurred from the vacuum preloading system using a numerical simulations Geostudio with the 2D Multi Drain-Plane Strain approach and the settlement result of the simulation will be compare with instrumentation data. In this study the vacuum pressure distribution is modeled using water total head negative pore water pressure and the pressure value used following vacuum gauge data in the field with distribution approach is 100% at the surface of the sand platform, 85% to a depth of 5 m, then 60% to the end of the PVD. Based on the simulations, the conlusion is the vacuum pressure applied along the vertical drainage is not modeled constant, but changes with depth, the value of 60% at the bottom of the vertical drainage is quite representative of the conditions in the field and the settlement from the simulation is quite good at approaching the field observation with a prediction of the settlement due to vacuum preloading of 0.93 m, when compared to the field observation data there is a difference of about 1.6%. © 2023 Materials and Energy Research Center. All rights reserved.

    Author keywords

    Geostudio; Prefabricated Vertical Drain; Settlement; Soft Soil; Vacuum Preloading

    This article can be accessed at https://www.scopus.com/pages/publications/85152949548

  • Analysis of Rail Trailers Selection in Semarang City

    Analysis of Rail Trailers Selection in Semarang City

    Authors: Atty Tri Juniarti, Bayu Indra Setia, Ratu Hedy Syahidah Budiarti, Selfa Septiani Aulia

    Abstract

    This research was conducted in the city of Semarang with the intention of providing an alternative of land public transportation modes other than two-wheeled vehicles (motorbikes) and four wheels vehicles (cars). The development of the transportation mode in question is a train in the city that can reach certain destinations that have not been reached yet, and at low cost. This development direction plan includes accessibility, cohesiveness, capacity, safety, smoothness and speed, and timeliness of travel. Based on this, there are two alternative routes that are considered to be served in this mode. The results showed that the option, which is estimated to provide convenience, can reach many users at a low cost is the second alternative by using a single track along 10,475 km and a double track with a length of range of 5.8 km. © School of Engineering, Taylor’s University.

    Author keywords

    Rail; Trailers; Train; Transportation

    This article can be accessed at https://www.scopus.com/pages/publications/85152952191

  • Smart Urban Farming Application: UV Light in Hydroponic Installations

    Smart Urban Farming Application: UV Light in Hydroponic Installations

    Authors: Herry Saputra, Irfan Dwiguna Sumitra, Dedeng Hirawan, Rudhi Lesmana, Eddy Soeryanto Soegoto

    Abstract

    Hydroponic farming is an innovative method of cultivating plants without soil media. It has become a popular solution to address limited agricultural land, especially in urban areas. Indoor hydroponics is a type of hydroponic farming that involves growing plants in a room that lacks natural sunlight. Instead, Ultraviolet (UV) lights are used to ensure that the plants receive sufficient light. The goal of this research is to investigate how UV radiation affects plants in hydroponic growth systems when they are grown in a room with little sunlight. The study used quantitative methods with data collection techniques based on observation. The hydroponic plants were exposed to UV radiation during their growing period, and their growth was closely monitored. The findings of this study indicate that when plants are grown in a closed room exposed to UV light, they exhibit optimal growth due to proper light intake and nutrient maintenance. A consistent irrigation system and UV lighting have a positive impact on the shape and quality of the plants’ roots and leaves, making them healthier and stronger. This is because plants’ UV light requirements can still be met even when they are kept indoors. © School of Engineering, Taylor’s University.

    Author keywords

    Agriculture; Hydroponic; Smart farming; Urban farming; UV light

    This article can be accessed at https://www.scopus.com/pages/publications/85152887715

  • Implementation of Convolutional Neural Network for Sundanese Script Handwriting Recognition with Data Augmentation

    Implementation of Convolutional Neural Network for Sundanese Script Handwriting Recognition with Data Augmentation

    Authors: Irfan Maliki, Ade Syahlan Prayoga

    Abstract

    Sundanese script is one of the cultural heritages that need to be preserved. However, Sundanese script has complexity and uniqueness in its writing, making it difficult to recognize. The recognition can be done automatically using deep learning. One of the problems is that the recognition has a small amount of data and is less varied. In this study, the proposed solution is to use data augmentation. This study focused on how the use of data augmentation can help to improve accuracy in performing the recognition of handwriting image pattern using Convolutional Neural Network (CNN) method. Data augmentation is the process of artificially increasing the amount of data by generating new data points from existing data. The augmentation includes adding small changes to the data or using machine learning models to generate new data points in the latent space of the original data in order to strengthen the data set. Data augmentation applied in this research is flipping, rotation, and translation techniques. Based on the results, it can be concluded that the use of data augmentation to increase the number and variety of data samples has a significant effect on the accuracy value of 0.1707 or about 17.07%. The best accuracy obtained is 0.8 or 80% using a baseline model with data augmentation. These findings yielded good results because the system is able to perform image classification quite well. © School of Engineering, Taylor’s University.

    Author keywords

    Convolutional neural network; Data augmentation; Handwriting recognition; Sundanese script

    This article can be accessed at https://www.scopus.com/pages/publications/85152919072 

  • 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