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  • kills Versus Soft Skills: How Do They Affect Different Job Types of Japanese Language Graduates?

    kills Versus Soft Skills: How Do They Affect Different Job Types of Japanese Language Graduates?

    Author: Sony Mulyawan Setiana ; Linda Setiawati ; Mujahidil Mustaqim

    DOI: 10.26803/ijlter.18.11.10

    Abstract

    This study aims to analyze the relation between hard skill and soft skill competencies of Japanese language graduates on four different types of job including managers, administrators, communicators, and instructors. This research was conducted through a quantitative approach by distributing questionnaires to 100 alumni of Japanese department from five universities in Bandung, namely Universitas Padjadjaran, STBA Yapari ABA Bandung, Universitas Kristen Maranatha, Universitas Nasional PASIM, and Universitas Komputer Indonesia. The results showed that the ability of hard skills and soft skills of Japanese department graduates is considered relevant to the needs of the world of work where graduates, especially with the type of work communicators tend to have higher hard skills and soft skills compared to other types of work. Hard skills and soft skills have a very close and inseparable relationship because the two are complementary and balance each other. The ability of hard skills for all four types of work is considered good, but the skills in applying information and communication technology have not fully supported the other skills in hard skills. The ability of soft skills in the four types of work is considered to be good because each domain of soft skills has gone hand in hand with one another in forming integrated soft skills. Japanese departments need to continuously strengthen hard skills and soft skills. This aims to enable graduates to compete in the global market. © 2019 The authors and IJLTER.ORG. All rights reserved.

    Author keywords

    Graduates; Hard Skills; Japanese Language; Soft Skills, Job Type

    This article can be accessed at: https://www.scopus.com/pages/publications/85077470380

  • Web-based Environmental Learning Information System in SMA Angkasa Lanud Husein Sastranegara Bandung

    Web-based Environmental Learning Information System in SMA Angkasa Lanud Husein Sastranegara Bandung

    Author: Wahyuni W, Erzy Pratama Fadryan, Andri Sahata Sitanggang

    DOI: 10.1166/jctn.2019.8616

    Abstract

    The Purpose of this research is to build an information system application to help teachers and students in high school in learning environmental education. Angkasa Lanud Husein Sastranegara Bandung Senior High School is an adiwiyata green school project, they also have an environmental friendly institution curriculum that is environmental education. The method used for this research is descrptive method. His method is carried out by examining an existing event and analyzed by interview and observation data collection technique. The result of this research is an application of environmental learning information systems that can help the learning process of students and teachers to achieve the appropriate target material and interactive learning so that students can easily understand the contents of the material provided. © 2019 American Scientific Publishers.

    Author keywords

    Application; Environmental; Learning

    This article can be accessed at: https://www.scopus.com/pages/publications/85078977868

  • The Factors that Affect Collective Action of Farmer’s Organizations in Rural Area

    The Factors that Affect Collective Action of Farmer’s Organizations in Rural Area

    Author: Aulia S.A. ; Sofhani T.F.

    DOI: 10.1088/1757-899X/662/4/042005

    Abstract

    This study aims to uncover the factors that influence the emergence and sustainability of collective action of FOs. Furthermore, this study analyzes the effect of collective action on the increasing economies of scale and efficiency of FOs’ members. The content analysis method was applied in this research. The case study involved Farmers’ Organizations located in Kalangsuria Village, Rengasdengklok Sub-district, Karawang Regency. Much research has been conducted on Gabungan Kelompok Tani (Gapoktan) or Farmers’ Organizations (FOs) as farmers’ institutions that perform collective action in the agribusiness from the input process to the processing process. However, previous research has not much explored the factors influencing the emergence of agribusiness collective action in FOs. The limitation of previous research leads to the failure to understand the emerging issues of processes and mechanisms of collective action within FOs. Agribusiness activities carried out collectively by Gapoktan Sri Mulya are related to the social bonding and social bridging to a willingness to do agribusiness activities collectively. However, collective action in agribusiness production is not optimal, particularly in anticipating climate change. It was because the factors of human capital, such as education and knowledge of farmers in developing rice farming can also affect the efficiency of farming. © 2019 IOP Publishing Ltd. All rights reserved.

    Indexed keywords

    Engineering controlled terms

    Climate change; Economics; Efficiency; Regional planning; Rural areas

    Engineering uncontrolled terms

    Collective action; Content analysis method; Economies of scale; Human capitals

    Engineering main heading

    Agriculture

    This article can be accessed at: https://www.scopus.com/pages/publications/85075856234

  • Designing of Application for Learning Sundanese Cultures

    Designing of Application for Learning Sundanese Cultures

    Author: Winanti M.B. ; Nurjanah A.A.S. ; Pangaribuan I.

    DOI: 10.1088/1757-899X/662/2/022052

    Abstract

    Sundanese culture is one of the cultures that is come form West Java region. Along with its development, not many students around West Java areas understand the Sundanese culture, if allowed to continue, Sundanese culture will lose its identity. As the development of information technology, a mobile application can be used as an application as learning media to help students and make students more interested in learning Sundanese culture as what they learn at school. This research aims to help to attract and motivate students to learn the Sundanese culture and provide entertainment aspects for students. The research method used was structured approach method and prototype development. The research design used was descriptive methods and actions. The method of data collection used was observation techniques, documentation, and interviews. System design tools used to describe the system model include use case diagrams and use case scenarios while for designing data dictionaries use were Use case diagrams, Activity diagrams, Sequence diagrams, and data dictionaries. The information system developed was using adobe flash CS6. The expectation is this application can stimulate students to learn Sundanese regional culture and can facilitate teachers in providing interactive lessons to stimulate students creativity. © Published under licence by IOP Publishing Ltd.

    Indexed keywords

    Engineering controlled terms

    Database systems; Graphic methods; Information systems; Information use; Students; Systems analysis

    Engineering uncontrolled terms

    Mobile applications; Observation techniques; Prototype development; Regional cultures; research methods; Sequence diagrams; Structured approach; Use case scenario

    Engineering main heading

    Engineering education

    This article can be accessed at: https://www.scopus.com/pages/publications/85075872021

  • Data Mining, Neural Network Algorithm to Predict Student’s Grade Point Average: Backpropagation Algorithm

    Data Mining, Neural Network Algorithm to Predict Student’s Grade Point Average: Backpropagation Algorithm

    Author: Selvia Lorena Br. Ginting ; M. Aditya Fathur Rahman

    Abstract

    The Grade Point Average (GPA) for a tertiary institution is one of the elements used to measure the quality of teaching and learning. In the Department of Computer Systems, Universitas Komputer Indonesia, there are many students who have bachelor’s degrees, but there are still many students who do not graduate on time with unsatisfactory GPA. By utilizing the pile of academic data from students who have graduated, modelling the data mining technique using the Artificial Neural Network (ANN) method with the backpropagation algorithm can be done. The purpose of this study is to test the ANN modelling with backpropagation algorithm in making a student’s Grade Point Average (GPA) prediction information system. The student GPA prediction system is used as a supporting material for the academic advisor to provide evaluation guidance to students who are considered to have academic problems. The parameter attributes used in this study included Grade Point Semester (GPS) one to four as well as several course scores as data input and GPA as an output data. The test was carried out in four scenarios, where the best results of ANN were obtained in scenario-IV with the parameters of the number of input layer neurons 18, the number of hidden layer neurons 24, the number of output layer neurons 1, learning rate (a) 0.15, 2000 iterations (epoch) and 591 data sets. The data is divided into 85% data set for training data as well as 15% data set for test data. The average accuracy obtained from this information system is 97.2%. It is expected that this study can be used as a reference for designing a data mining architecture model using the ANN backpropagation algorithm in creating values prediction information system. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial neural network; Backpropagation; Data mining; Grade point average

    This article can be accessed at: https://www.scopus.com/pages/publications/85109676997

  • Data Mining, Neural Network Algorithm to Predict Student’s Grade Point Average: Backpropagation Algorithm

    Author: Selvia Lorena Br. Ginting ; M. Aditya Fathur Rahman

    Abstract

    The Grade Point Average (GPA) for a tertiary institution is one of the elements used to measure the quality of teaching and learning. In the Department of Computer Systems, Universitas Komputer Indonesia, there are many students who have bachelor’s degrees, but there are still many students who do not graduate on time with unsatisfactory GPA. By utilizing the pile of academic data from students who have graduated, modelling the data mining technique using the Artificial Neural Network (ANN) method with the backpropagation algorithm can be done. The purpose of this study is to test the ANN modelling with backpropagation algorithm in making a student’s Grade Point Average (GPA) prediction information system. The student GPA prediction system is used as a supporting material for the academic advisor to provide evaluation guidance to students who are considered to have academic problems. The parameter attributes used in this study included Grade Point Semester (GPS) one to four as well as several course scores as data input and GPA as an output data. The test was carried out in four scenarios, where the best results of ANN were obtained in scenario-IV with the parameters of the number of input layer neurons 18, the number of hidden layer neurons 24, the number of output layer neurons 1, learning rate (a) 0.15, 2000 iterations (epoch) and 591 data sets. The data is divided into 85% data set for training data as well as 15% data set for test data. The average accuracy obtained from this information system is 97.2%. It is expected that this study can be used as a reference for designing a data mining architecture model using the ANN backpropagation algorithm in creating values prediction information system. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial neural network; Backpropagation; Data mining; Grade point average

    This article can be accessed at: https://www.scopus.com/pages/publications/85109676997

  • Data Visualization for Education Domain at Dinas Pendidikan Jawa Barat

    Data Visualization for Education Domain at Dinas Pendidikan Jawa Barat

    Author: Yusrila Y. Kerlooza ; Dian Dharmayanti ; Adam Mukharil Bachtiar ; Taufiq Nugraha

    Abstract

    The purpose of this research is to make a proper visualization which can be used in West Java Provincial Education Board to look education equity level in the West Java Province. This research is to help the Planning and Reporting Sub Division understand the case of education equity. Based on the results of interviews to one of the employees in the sub division, there were problems such as receiving information from the visualization used today were not as expected. It happened because the information does not support education equity. There are several methods used to produce the right form of information including statistics, data mining, and the application of data visualization rules. After designing and refining the existing visualization, the outcome is implemented in website-based prototypes. The results of prototypes were efficient and effective, it was tested by Usability Testing. The result of usability testing reached 95.45%, which means that the design used has achieved a minimum goal. From these results, prototypes of data visualization can help the sub division to understand information about education equity. © School of Engineering, Taylor’s University.

    Author keywords

    Acceptance testing; Data mining; Data visualization; Education equity; Statistics; Usability testing

    This article can be accessed at: https://www.scopus.com/pages/publications/85117915025

  • The Relationship Between E-Learning and Student Satisfaction

    The Relationship Between E-Learning and Student Satisfaction

    as Marketing Strateg: A Case Study at a Private University

    Authors: Eddy Soeryanto Soegoto ; Senny Luckyardi ; Rizky Jumansyah ; Herry Saputra ; Niël A. Kruger

    DOI: 10.15549/jeecar.v9i5.1052

    Abstract

    Universities have incorporated e-learning into their educational structures because of the unanticipated transition from conventional learning to digital and hybrid learning methods to the closure of educational facilities during the COVID-19 pandemic. This study aims to ascertain how e-learning influences students’ satisfaction at private universities and to develop a marketing strategy to keep institutions of higher learning competitive throughout the COVID-19 or similarly disrupting events. In the study, we utilise a quantitative descriptive method. Collecting data was done by distributing e-questionnaires to students at a private university in Bandung. The sampling technique used random sampling with 245 respondents. The data was subjected to numerous linear regression analyses using SPSS. ICT, ESQ, and EIQ are the study’s dependent variables, and e-learning is the study’s independent variable. The findings indicate that all variables influence and significance of e-learning and students’ satisfaction with 65.9%, which can enhance learning outcomes in private universities. © 2022, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author Keywords

    Digital transition; education; electronic-learning; hybrid education; systemic disruption

    This article can be accessed at https://www.scopus.com/pages/publications/85141141950?

  • Model of Expected Benefit, E-Learning Curriculum,

    Model of Expected Benefit, E-Learning Curriculum,

    and Education Partners on E-Learning

    Authors: Indriana ; Alamsyah, Doni Purnama ; Hikmawati, Nina Kurnia

    DOI: 10.1109/ICIMTech55957.2022.9915129

    Abstract

    Adaptation of new technology in e-learning begins with psychological motivation from students, where this becomes important related to the success of the e-learning concept. Examining the phenomenon, this study aims to investigate the relationship between student psychological motivation and expected benefits, e-learning curriculum, and educational partners. The research was conducted on students in the city of Bandung through a quantitative survey. The data from students was taken through a questionnaire and the tabulated data from the questionnaire was processed using SmartPLS. There is a research model based on the design of the research hypothesis being tested. The results showed that the expected benefit and e-learning curriculum had a positive relationship with psychological motivation. Meanwhile, educational partners do not have a positive relationship with psychological motivation. Furthermore, it is known that the expected benefit has the biggest impact in supporting the psychological motivation of students. Psychological motivation is important related to the adaptation of new technology in e-learning, because it is a factor that can increase the success of using e-learning as a learning medium. The findings of this study can be used as input for universities in reviewing the concept of e-learning so that it can be well received by its users. © 2022 IEEE.

    Author Keywords

    E-Learning Curriculum; Educational Partners; Expected Benefit; Psychological Motivation

    Indexed Keywords

    Engineering controlled terms

    Curricula; E-learning; Education computing; Learning systems; Students; Surveys

    Engineering uncontrolled terms

    E – learning; E-learning concepts; E-learning curriculum; Educational partner; Expected benefit; Learning media; Model-based OPC; Psychological motivation; Research models; Tabulated data

    Engineering main heading

    Motivation

    This article can be accessed at https://www.scopus.com/pages/publications/85141348978?

  • Animation Video Design as Promotion for Nature School

    Animation Video Design as Promotion for Nature School

    as Habituation of Green Lifestyle

    Authors: Yully Ambarsih Ekawardhani ; Didi Subandi ; Bisma Hikmah Kurniadi

    DOI: 10.15549/jeecar.v10i4.1361

    Abstract

    This article explains the creation of an animated video design to promote a nature school. Conducted in two stages, the method used to process data is the promotion mix, in the form of deepening the marketing 7Ps mix model representing: product, price, promotion, place, people, physical evidence, and processes. Need to tell readers what 7 P is about. Meanwhile, the creation of the work uses art-based research for capturing activities in the nature school environment to become an animated video design based on informal education, has a passion for raising students’ awareness of green lifestyles. Currently, it is still constrained by the number of participants registered. Meanwhile, the various activities carried out involve the surrounding nature and are directed to produce works and activities for students. The result is an animated video design that is able to provide an overview of the positive activities in school. In conclusion, this video will attract potential applicants to continue becoming students and reinforce a green lifestyle. © 2023, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author Keywords

    animation; green lifestyle; nature school; promotion; video design

    This article can be accessed at https://www.scopus.com/pages/publications/85164185389?