scholarly journals Emotional responses in augmented reality based M-learning applications using Kansei engineering for secondary school students

2021 ◽  
Vol 24 (3) ◽  
pp. 1846
Author(s):  
Farah Asyikin Jasmy ◽  
Fauziah Redzuan ◽  
Rogayah Abdul Majid ◽  
Norisan Abd Karim
Keyword(s):  
Augmented Reality ◽  
Secondary School ◽  
Mobile Learning ◽  
Mobile Applications ◽  
Emotional Responses ◽  
Partial Least Square ◽  
Least Square ◽  
Kansei Engineering ◽  
Design Elements ◽  
Pls Analysis

Design that evoked emotions are one of the main concerning issues in developing mobile applications for online learning in general and for augmented reality (AR) based mobile learning applications in specific. Emotional design could attract users by creating different feelings while using AR-based mobile learning applications. Suitable emotions related to design could motivate students towards fascinating learning experiences. The aim of this research is to evaluate the emotional responses of the students based on different designs in AR-based mobile learning applications using Kansei engineering technique. In this research, about thirty-two students from secondary school were involved in an experiment to identify the Kansei (emotion) words for AR-based mobile applications. The data gathered were analysed using factor analysis (FA), principal component analysis (PCA), and partial least square (PLS) analysis. The results revealed four important pillars of emotions or known as Kansei semantic space such as challenging-thinking, motivated, humorous, preoccupied and also touched as an additional pillar. Based on the PLS analysis of design elements of AR-based mobile learning applications suggested specific design and emotions based on the pillars. In conclusion, this research is motivated to give affective formulae that would guide the design of AR-based mobile learning materials in the future.

scholarly journals Redesign the User Interface of the Purwakarta Disdukcapil Mobile Application Using Kansei Engineering

SinkrOn ◽  
2022 ◽  
Vol 7 (1) ◽  
pp. 66-75
Author(s):  
Yudhi Raymond Ramadhan ◽  
Imam Maruf Nugroho ◽  
Imam Khaerul Anwar
Keyword(s):  
User Interface ◽  
Mobile Application ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Kansei Engineering ◽  
Design Factor ◽  
Design Elements ◽  
Ui Design ◽  
Emotional Factors

The function and usability of a mobile application are the main reasons for making the application. In addition, the User Interface (UI) design factor is also an important consideration in making a mobile application. Good UI design is the main attraction for the application to use. There are many ways to make a good UI design. Kansei Engineering (KE) is one of the methods that can be used in the UI design process. Since the creation of the Mobile Disdukcapil application, there has never been a study on the application's design interface. This research aims to make recommendations on design elements desired by users. The KE method can detect the user's feelings towards an interface. So that the KE method will produce a UI design for the Disdukcapil mobile application that is liked by the user. The methodology used refers to the Kansei Engineering Type I methodology. This research uses Kansei Words to represent the emotional factors of the user when viewing a product specimen. Kansei Word used as many as 10 words related to the UI display on the mobile application. The mobile application specimens used were 5 specimens, which were taken from various similar applications. This study involved 80 participants to fill out the questionnaire. The results of the questionnaire were processed using multivariate statistical analysis, namely Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA), and Partial Least Square (PLS). The results of this study are in the form of recommendations for UI design elements based on the most dominant emotional factors. Based on the results of data processing, the dominant emotional factors are "Colorful" and "Simple".

scholarly journals Emotional augmented reality-based mobile learning design elements: a kansei engineering approach

2019 ◽  
Vol 14 (1) ◽  
pp. 413 ◽  
Author(s):  
Fauziah Redzuan ◽  
An-Nur Atiqah Khairuddin ◽  
Nor Aziah Daud
Keyword(s):  
Augmented Reality ◽  
Mobile Learning ◽  
Principal Component ◽  
Semantic Space ◽  
Learning Material ◽  
Kansei Engineering ◽  
Learning Materials ◽  
Study Objective ◽  
Design Elements ◽  
Mobile Ar

<span>In recent times, various studies have shown that Augmented Reality (AR) will be the next wave of online learning. This is because of the advent of powerful smartphones that has changed user experiences, thereby able to increase the capability of AR. There has been much concentration in previous studies on cognition towards the use of AR in education, in which little consideration has been given to emotions which is also an important aspect in learning. Based on this, the present research aims to identify salient connections between emotions and design elements of AR-based mobile learning material through the application of the Kansei Engineering (KE) approach. In order to achieve this study objective, the use of a human heart in relation to the mobile AR application of the KE approach was adopted in this research as a case study, in which seven specimens of the mobile AR application were evaluated including 55 emotions of Kansei Words (KW). Additionally, the kansei evaluation experiment of this study was carried out by 28 students from one of the public universities, after which the data were analysed using Factor and Principal Component Analysis. The results of this study show the important pillars of emotions or Kansei semantic space of emotions for AR-based mobile learning materials. Based on Factor Analysis, it revealed four main pillars; <em>professional-motivated</em>, <em>confused</em>, <em>wandering-thrilled</em>, <em>challenging</em> and one additional pillar; <em>trustable</em>. Besides that, this research also described design elements of AR-based mobile learning material that might evoke specific emotions based on the identified pillars. Finally, the findings of this research are hoped to be applicable as a guide in design during preparation of AR-based mobile learning materials with affective elements in the future.</span>

scholarly journals Ekstraksi TF-IDF untuk Kansei Word dalam Perancangan Interface E-Kinerja

2021 ◽  
Vol 3 (1) ◽  
pp. 5-16
Author(s):  
Tri Sutrisna Bhayukusuma ◽  
Ana Hadiana
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Local Governments ◽  
The State ◽  
Partial Least Square ◽  
Least Square ◽  
Engineering Method ◽  
Kansei Engineering ◽  
Multivariate Statistical ◽  
Design Elements

E-performance web-based software is used to manage and assess the performance of employees in local government agencies. In the process, some of the local governments racing to create and develop E-performance applications. But there are still many E-performance applications that fail because they don't get a good response from their users in this case the State Civil Apparatus. Then it should be carried out supporting studies in the implementation process of making E-performance applications. One method to determine what is needed by the application of information systems in accordance with what is desired by users emotionally is the Kansei Engineering method. Because through Kansei Engineering can be investigated from various points of view that encourage users to use the information system application. In this research, an application program was created using the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to select and determine several words from a few sentences in an article that will be used as a kansei word. After the screening and selection finally obtained as many as 20 words used as kansei words. A total of 30 participants were involved in this study, namely the State Civil Apparatus in the Government of Bandung City. Furthermore, the results of the questionnaire were processed using multivariate statistical analysis which includes Correlation Coefficient Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS). After passing through multivariate statistical analysis, the main factor of emotion concept in the design of the E-performance interface is obtained, the optimal factor. But there are other factors supporting the concept of emotion as an alternative design in designing the E-performance interface, the Smart factor. So as to obtain recommendations for designing the E-performance interface produced through the Kansei Engineering method approach in the form of a proposed matrix in which there are several design elements based on the "Optimal" emotional concept

Effect of Motivation to Employee Performance which was Mediatied by Work Satisfaction in PT Smailing Tour Denpasar

2018 ◽  
Vol 9 (08) ◽  
pp. 20959-20973
Author(s):  
Benediktus Ignasius Tani Raka ◽  
Anik Yuesti ◽  
Nengah Landra
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Satisfaction ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Pls Analysis ◽  
Permanent Employees

This study aims is to test and analyze the influence of motivation on employee performance mediated by job satisfaction. This research was conducted at PT Smailing Tour Denpasar with population and research sample of all permanent employees that is 90 people. All data obtained from the kuisoner distribution is feasible to be used, then analyzed using a variance based structural equation model known as Partial Least Square (PLS) analysis. The result of the research shows that (1) the motivation has positive and significant effect on the employee's performance, (2) the motivation has positive and significant effect on the job satisfaction, (3) the job satisfaction has positive and significant effect to the employee's performance; (4) the motivation has positive and significant effect on employee performance through job satisfaction. The implication of this research is that motivation can be improved by taking into account the need for workplace environment to improve employee performance, job satisfaction can be improved by paying attention to the work itself in order to increase employee performance. Employee performance can be improved by taking into account the effectiveness of employees.

Effect of Job-Insecurity, Organizational Commitment, Job Satisfaction on Turnover Intention: A Case Study of Newcomer Lecturers at Private Islamic Universities in East Java Province, Indonesia

2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Turnover Intention ◽  
Structural Equation ◽  
Job Insecurity ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Equation Modeling ◽  
Pls Analysis

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.

scholarly journals Metabolomics and lipid profile analysis of Coccomyxa melkonianii SCCA 048

Extremophiles ◽  
2021 ◽  
Author(s):  
Giacomo Fais ◽  
Veronica Malavasi ◽  
Paola Scano ◽  
Santina Soru ◽  
Pierluigi Caboni ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Profile Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Mining Site ◽  
Mining Areas ◽  
Pls Analysis ◽  
Threonic Acid ◽  
High Concentrations ◽  
Potential Exploitation

AbstractWith an unsupervised GC–MS metabolomics approach, polar metabolite changes of the microalgae Coccomyxa melkonianii SCCA 048 grown under standard conditions for seven weeks were studied. C. melkonianii was sampled at the Rio Irvi River, in the mining site of Montevecchio-Ingurtosu (Sardinia, Italy), which is severely contaminated by heavy metals and shows high concentrations of sulfates. The partial-least-square (PLS) analysis of the GC–MS data indicated that growth of C. melkonianii was characterized by an increase of the levels of threonic acid, myo-inositol, malic acid, and fumaric acid. Furthermore, at the sixth week of exponential phase the lipid fingerprint of C. melkonianii was studied by LC-QTOF-MS. C. melkonianii lipid extract characterized through an iterative MS/MS analysis showed the following percent levels: 61.34 ± 0.60% for triacylglycerols (TAG); 11.55 ± 0.09% for diacylglyceryltrimethyl homoserines (DGTS), 11.34 ± 0.10% for sulfoquinovosyldiacylglycerols (SQDG) and, 5.29 ± 0.04% for lysodiacylglyceryltrimethyl homoserines (LDGTS). Noteworthy, we were able to annotate different fatty acid ester of hydroxyl fatty acid, such as FAHFA (18:1_20:3), FAHFA (18:2_20:4), FAHFA (18:0_20:2), and FAHFA (18:1_18:0), with relevant biological activity. These approaches can be useful to study the biochemistry of this extremophile algae in the view of its potential exploitation in the phycoremediation of polluted mining areas.

scholarly journals PENGARUH DIMENSI DIMENSI IKLIM ORGANISASI TERHADAP KINERJA PEGAWAI DI BADAN KEPEGAWAIAN DAERAH PROVINSI NUSA TENGGARA BARAT

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Muhammad Amri Fuadi ◽  
Hermanto Hermanto ◽  
Lalu Suparman
Keyword(s):  
Organizational Climate ◽  
Social Environment ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Work Behavior ◽  
Positive Sign ◽  
Path Coefficient ◽  
Observation Data ◽  
Pls Analysis

This research is directed to prove the significance of the influence of organizational climate dimensions in the form of physical environment (X1), social environment (X2) and management system (X3) on the dimensions of employee performance in the form of employee work goals (Y1) and employee work behavior (PKP). There are six hypotheses that are proven through a partial least square (PLS) analysis process. The population of this study (observation data) was 82 BKD NTB employees. Data was collected through questionnaires and all questionnaires returned in accordance with data input needs. Through the outer model stage there are two indicators of the social environment that are issued, namely the relationship of superiors with subordinates (LS1) and colleague relations (LS2) as well as two indicators of employee work behavior, namely commitment (PKP3) and leadership (PKP6). Indicators that are classified as valid get a reinforcement of criteria through the parameter AVE values above 0.50 and include reliable indicators through Cronbach's alpha parameters and composite reliability above 0.70. PLS analysis through the inner model stage found that all dimensions of the organization's climate have a positive influence (positive sign of the path coefficient) on the dimensions of employee performance.Keywords : Organizational Climate Dimensions and Employee Performance Dimensions.

scholarly journals The Concept of Digitalization-based Performance Management In An Effort to Improve Employee Performance During the Covid-19 pandemic in Village-Owned Enterprises (BUMDES) throughout Buleleng Regency

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Putu Agus Adnyana
Keyword(s):  
Performance Management ◽  
Employee Performance ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Organizational Goals ◽  
Analysis Technique ◽  
Study Population ◽  
Pls Analysis ◽  
Work Management

The purpose of this study is to determine employee performance through the concept of work management and digitalization as the main keys to improving the performance of BUMDES employees in Buleleng Regency. The concept of performance management is the employee’s activities and work results in line with organizational goals. So that it contributes to improving the performance of BumDes employees. The study population was all active BumDes in Buleleng Regency. Sampling in this study using random sampling technique. The data analysis technique used in this research is the Component based SEM, Partial Least Square (PLS) analysis method. The results showed that the concept of work management has an effect on digitization and employee performance.

scholarly journals PENGARUH KOMPENSASI FINANSIAL DAN NON FINANSIAL TERHADAP KINERJA KARYAWAN PT. BANK SYARIAH X MELALUI MOTIVASI KERJA SEBAGAI VARIABEL INTERVENING

2020 ◽  
Vol 22 (1) ◽  
pp. 42-50
Author(s):  
Rizky Aprilia Ayu Wardani
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Significant Positive Effect ◽  
Analysis Method ◽  
Indirect Influence ◽  
Pls Analysis ◽  
And Performance ◽  
Positive Effect

Abstract – performance is a record of the outcome of the function of a particular job or activity of an employee for a certain period of time (Gomes, 2000). This study aims to examine the effect of compensation financial and compensation non financial on performance of employee with motivation as intervening variabel involving 35 people as respondent with using partial least square (PLS) analysis method and sobel tests to test the mediating effect. Data were obtained through observation and questionnaire distribution.This study shows two point, first compensation financial has a significant positive effect on work motivation and work motivation has a significant positive effect on employee’s performance. Indirect influence between compensation financial on performance of employee through work motivation that is partial of mediation due to the effect between compensation financial variable on performance also significant. Second, compensation non financial has a significant positive effect on work motivation. Indirect influence between compensation non financial on performance through work motivation that is full of mediation due to the effect between compensation non financial variable on performance of employee not significant. Keywords:  compensation financial, compensation non financial, work motivation, and performance of employee

scholarly journals PENGARUH CREATIVE PSYCHOLOGY CAPITAL MEMEDIASI SENSITIVITAS ETIS TERHADAP JOB PERFORMANCE

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Syaikhul Falah
Keyword(s):  
Data Collection ◽  
Job Performance ◽  
Sampling Method ◽  
Psychological Capital ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Ethical Sensitivity ◽  
Analysis Technique ◽  
Pls Analysis

This study aims to analyze the psychological aspects (creative psychology capital and ethical sensitivity) to the performance. This research was conducted in several hospitals in Jayapura City. Data collection in this research is using questionnaire where respondent in this research is staff of finance or administration and program. The sampling technique used in this research is census sampling method. The number of research samples taken as many as 38 respondents. This research uses Partial Least Square (PLS) analysis technique. The result of this study shows that the developed hiptotesi significantly influence the performance. Keywords: Psychological Capital, Ethical Sensitivity and Job Performance, hospital

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