scholarly journals Designing Interface of Mobile Parental Information System based on Users’ Perception Using Kansei Engingeering

2018 ◽  
Vol 1 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Ana Hadiana
Keyword(s):  
Information System ◽  
User Interface ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Multivariate Statistical ◽  
Emotional Factor ◽  
Emotional Factors ◽  
System Data ◽  
Parental Information

Users’ psychological emotion plays important role in designing an interface of software including application of information system. This research attempted to implement Kansei Engineering Type I (KEPack) as a method to analyze kinds of emotional factor related to user interface for mobile Parental Information System. This research used Kansei Words to explore users’ requirements based on psychological factors. Eighteen words were used for Kansei Words that have relationship with Parental Information System. Ten samples of mobile information system were selected as specimens considered suitable for designing interface of Parental Information System. Data questionnaires collected from thirty respondents were processed using multivariate statistical analysis such as Factor Analysis (FA) and Partial Least Square (PLS). This research found that the two important emotional factors i.e funny and informative have to be considered for designing user interface for mobile Parental Information System.

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 ANALISIS USER EXPERIENCE UNTUK PERANCANGAN USER INTERFACE INDIGOES MENGGUNAKAN METODE KANSEI ENGINEERING

2017 ◽  
Author(s):  
Martanto
Keyword(s):  
User Interface ◽  
User Experience ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Kansei Engineering ◽  
Alpha Coefficient ◽  
Coefficient Corrélation ◽  
E Learning

Website E-Learning saat ini sudah banyak digunakan pada dunia pendidikan, baik sekolah tingkat atas hingga perguruan tinggi. STMIK IKMI Cirebon telah menggunakan website E-Learning yang diberi nama Indigoes namun pemanfaatannya masih belum maksimal karena tampilan Indigoes yang sangat sederhana. User experience pengguna Indigoes dapat digunakan untuk perancangan user interface Indigoes yang baru sesuai dengan keinginan pengguna. Kansei engineering adalah sebuah metode perancangan yang menggunakan perasaan pengguna dalam membuat desain produk baru dan penelitian ini menerapkan metode Kansei Engineering Type I untuk merancang user interface Indigoes yang baru.Penelitian ini menggunakan Kansei Word untuk mendeteksi emosi atau perasaan pengguna Indigoes. Jumlah Kansei word yang digunakan sebanyak 23 kata yang mewakili perasaan pengguna terkait dengan desain user interface Indigoes yang baru. Alternatif desain yang digunakan sebanyak 5 buah. Penelitian ini melibatkan 30 partisipan dengan perincian 15 orang adalah mahasiswa dan 15 orang mahasiswi dari jurusan Komputerisasi Akuntasi dan Manajemen Informatika. Hasil kuisioner dari partisipan kemudian diolah menggunakan analisis statistik multivarit yaitu Cronbach’s Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) dan analisis Partial Least Square (PLS).

scholarly journals Metabolomics profiling of Polygoni Multiflori Radix and Polygoni Multiflori Radix Preparata extracts using UPLC-Q/TOF-MS

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Zhaoyan Zhang ◽  
Liang Yang ◽  
Xiaoyan Huang ◽  
Yue Gao
Keyword(s):  
High Performance ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Alpha Linolenic Acid ◽  
Multivariate Statistical ◽  
Biochemical Indicators ◽  
Flight Mass Spectrometry ◽  
Underlying Mechanisms ◽  
Tof Ms

Abstract Background The side effects caused by Polygoni Multiflori Radix (PMR) and Polygoni Multiflori Radix Praeparata (PMRP) have often appeared globally. There is no research on the changes of endogenous metabolites among PMR- and PMRP-treated rats. The aim of this study was to evaluate the varying metabolomic effects between PMR- and PMRP-treated rats. We tried to discover relevant differences in biomarkers and endogenous metabolic pathways. Methods Hematoxylin and eosin staining and immunohistochemistry staining were performed to find pathological changes. Biochemical indicators were also measured, one-way analysis of variance with Dunnett’s multiple comparison test was used for biochemical indicators comparison among various groups. Metabolomics analysis based on ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UPLC-Q/TOF-MS) was performed to find the changes in metabolic biomarkers. Multivariate statistical approaches such as principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA) were applied to reveal group clustering trend, evaluate and maximize the discrimination between the two groups. MetaboAnalyst 4.0 was performed to find and confirm the pathways. Results PMR extracts exhibited slight hepatotoxic effects on the liver by increasing aspartate and alanine aminotransferase levels. Twenty-nine metabolites were identified as biomarkers, belonging to five pathways, including alpha-linolenic acid metabolism, taurine and hypotaurine metabolism, glycerophospholipid metabolism, arginine and proline metabolism, and primary bile acid biosynthesis. Conclusion This study provided a comprehensive description of metabolomic changes between PMR- and PMRP-treated rats. The underlying mechanisms require further research.

Impact of hedonic motivation and corporate culture on the adoption of an information system

Kybernetes ◽  
2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imane Beqqali Hassani ◽  
Razane Chroqui ◽  
Chafik Okar ◽  
Mohamed Talea ◽  
Ahmed Ouiddad
Keyword(s):  
Information System ◽  
Corporate Culture ◽  
Structural Model ◽  
Least Square Method ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Adoption Process ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of corporate culture (CC) and hedonic motivation (HM) on the adoption of an information system (IS) inside a Moroccan company. To do so, the authors have combined and merged the “unified theory of acceptance and use of technology 2” along with the “Nguyen and Aoyama’s model” that covers the subject of CC. Later, the authors tested the research model within a Moroccan company. Design/methodology/approach In the present work, the authors used a quantitative analysis approach. Survey data were collected through oral interviews and analysis was performed based on the “partial least square” method, over a 94 sample of direct IS users. Findings The findings of the present investigation demonstrate the reliability and the validity of the established measurement model. Concerning the structural model, results support all hypotheses but with different effect size. The conclusion that can be extracted from this study is that CC and HM are important factors in the adoption process within the Moroccan firm. Originality/value This study enhances the understanding of the major factors affecting the adoption of an IS in a developing country. While several studies on adoption have been conducted, this study’s originality and contribution lays in the examination of the rarely evaluated factors: HM and CC.

Wood discrimination analyses of Pterocarpus tinctorius and endangered Pterocarpus santalinus using DART-FTICR-MS coupled with multivariate statistics

IAWA Journal ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 58-74 ◽  
Author(s):  
Maomao Zhang ◽  
Guang Jie Zhao ◽  
Bo Liu ◽  
Tuo He ◽  
Juan Guo ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Information ◽  
Ion Cyclotron Resonance ◽  
Timber Species ◽  
Multivariate Statistical ◽  
Fticr Ms ◽  
Pterocarpus Santalinus

ABSTRACT Pterocarpus santalinus, listed in CITES Appendix II, is an endangered timber species as a result of illegal harvesting due to its high value and commercial demand. The growing demand for P. santalinus and timbers with the morphologically similar Pterocarpus tinctorius has resulted in confusion as well as identification problems. Therefore, it is of vital importance to explore reliable ways to accurately discriminate between P. santalinus and P. tinctorius. In this study, the method of direct analysis in real time and fourier transform ion cyclotron resonance mass spectrometry (DART-FTICR-MS), combined with multivariate statistical analysis, was used to extract chemical information from xylarium wood specimens and to explore the feasibility of distinguishing these two species. Significant differences were observed in their DART-FTICR-MS spectra. Orthogonal partial least square-discriminant analysis (OPLS-DA) showed the highest prediction, with an accuracy of 100%. These findings demonstrate the feasibility of authenticating wood types using DART-FTICR-MS coupled with multivariate statistical analysis.

scholarly journals Applying Discriminant and Cluster Analyses to Separate Allergenic from Non-allergenic Proteins

2019 ◽  
Vol 17 (1) ◽  
pp. 401-407 ◽  
Author(s):  
L. Naneva ◽  
M. Nedyalkova ◽  
S. Madurga ◽  
F. Mas ◽  
V. Simeonov
Keyword(s):  
Cluster Analysis ◽  
Structural Parameters ◽  
Three Dimensional ◽  
Surface Protein ◽  
Partial Least Square ◽  
Least Square ◽  
Multivariate Statistical ◽  
Genomics And Proteomics ◽  
Cross Covariance ◽  
Allergenic Proteins

AbstractAs a result of increased healthcare requirements and the introduction of genetically modified foods, the problem of allergies is becoming a growing health problem. The concept of allergies has prompted the use of new methods such as genomics and proteomics to uncover the nature of allergies. In the present study, a selection of 1400 food proteins was analysed by PLS-DA (Partial Least Square-based Discriminant Analysis) after suitable transformation of structural parameters into uniform vectors. Then, the resulting strings of different length were converted into vectors with equal length by Auto and Cross-Covariance (ACC) analysis. Hierarchical and non-hierarchical (K-means) Cluster Analysis (CA) was also performed in order to reach a certain level of separation within a small training set of plant proteins (16 allergenic and 16 non-allergenic) using a new three-dimensional descriptor based on surface protein properties in combination with amino acid hydrophobicity scales. The novelty of the approach in protein differentiation into allergenic and non-allergenic classes is described in the article.The general goal of the present study was to show the effectiveness of a traditional chemometric method for classification (PLS–DA) and the options of Cluster Analysis (CA) to separate by multivariate statistical methods allergenic from non-allergenic proteins.

Modeling of Giant Magnetostrictive Material Based on Multivariate Statistical Analysis

2012 ◽  
Vol 457-458 ◽  
pp. 46-49
Author(s):  
Xue Jun Zhu ◽  
Zhi Wen Zhu
Keyword(s):  
Significance Test ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Hysteresis Phenomenon ◽  
Multivariate Statistical ◽  
Final Model ◽  
Magnetostrictive Material ◽  
Giant Magnetostrictive Material ◽  
Set Up

In this paper, a kind of giant magnetostrictive material (GMM) model based on hysteretic nonlinear theory was developed. Van de Pol nonlinear difference item was introduced to interpret the hysteresis phenomenon of the strain-magnetic field intensity (MFI) curve of GMM. The coupling relationship between MFI and frequency was obtained in partial least-square regression method to describe the driftage phenomenon of the strain-MFI curves of GMM in different frequencies. Based on above, the final relationship among strain, MFI and frequency was set up. The result of significance test shows that the effects of all of the items in the final model are remarkable, and that of forecast test shows that the model can describe the characteristics of GMA in different frequencies well. The new GMM model broadens the region of controlling frequency, and is easy to be analyzed in theory, which is helpful to vibration control.

scholarly journals ANALISIS KUALITAS PELAYANAN INTERNET INDIHOME PADA PT. X DENGAN PENDEKATAN PART LEAST SQUARE

2019 ◽  
Vol 20 (1) ◽  
pp. 77
Author(s):  
Kukuh Winarso ◽  
Moh. Jufriyanto
Keyword(s):  
Hypothesis Test ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Test Results ◽  
Multivariate Statistical ◽  
Internet Service ◽  
Analysis Techniques ◽  
Inner Model

PT. X Provides paid internet services known as Indihome. The problem that occurs in Indihome Internet service is that there are 42.36% complaints from consumers to the service process provided by PT. X and there is a 7.46% complaint about the amount of the bill. The purpose of this study is to model and know what variables affect the quality of the Indihome Internet service. The method used is Partial Least Square (PLS). Partial Least Square (PLS) is one of the multivariate statistical analysis techniques that can handle multiple response variables and an explanatory variable. The variables used are tangible, empathy, assurance, reliability and responsiveness. The results of the research are the increase of R square value after the implementation of the A5 indicator that does not meet the model PLS. All five variables affect the quality of indihome Internet service is 76,1%. Based on the hypothesis test results on the outer model It is said that the variable indicator is valid with p-value = 0 < 0,05. In testing the inner model obtained that the variable tangible and responsiveness has no significant effect on the quality of Internet service Indihome, while the variable empathy, assurance, reliability significantly affect the quality of service Indihome Internet.

scholarly journals Analisis Partial Least Square Menghasilkan Output Alternatif Antarmuka Tambahan Dari Kansei Engineering

2020 ◽  
Vol 17 (2) ◽  
pp. 67
Author(s):  
Arief Ginanjar ◽  
Awan Setiawan
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Correlation Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Kansei Engineering ◽  
Coefficient Corrélation

Ketika menggunakan Kansei Engineering dalam mencari kandidat terbaik untuk menentukan model perancangan antarmuka website, peneliti menggunakan metode analisis Partial Least Square (PLS) yang dilakukan secara berulang hingga ditemukan elemen terbaik yang dapat diimplementasikan. PLS sebagai alat bantu untuk menentukan nilai terbaik antara elemen website. Output perbandingan yang dihasilkan akan dikelompokkan berdasarkan Kansei Word sebagaimana yang telah ditentukan dalam rencana awal implementasi Kansei Engineering, output perbandingan PLS iterasi pertama mempunyai kemungkinan mendapatkan nilai usulan terbaik jika digabung dengan melakukan iterasi kedua terhadap asimilasi dua atau tiga elemen yang mempunyai nilai tertinggi. Metodologi yang digunakan mengacu kepada Kansei Engineering Type I dengan melalui pengolahan data menggunakan Cronbach’s Alpha untuk menguji kelayakan responden, kemudian untuk mengetahui hubungan Kansei Words dapat menggunakan Coefficient Correlation Analysis (CCA), sedangkan hubungan antara Kansei Words dengan spesimen dapat menggunakan Principal Component Analysis (PCA), sedangkan mencari pengaruh Kansei Words paling kuat dapat menggunakan Factor Analysis (FA) dan analisis Partial Least Square (PLS) namun harus dilakukan iterasi proses PLS hingga variabel rekomendasi model perancangan antarmuka yang dihasilkan menjadi lebih bervariatif.

scholarly journals Analysis of organizational commitment in determining the success of Accounting Information Systems (AIS) in the banking sector

2021 ◽  
Vol 11 (1) ◽  
pp. 9
Author(s):  
Ita Salsalina Lingga
Keyword(s):  
Information System ◽  
Information Systems ◽  
Organizational Commitment ◽  
Banking Sector ◽  
Accounting Information ◽  
Partial Least Square ◽  
Least Square ◽  
Accounting Information System ◽  
Accounting Information Systems ◽  
Regional Development Banks

This study aims to examine the effect of organizational commitment on the success of accounting information systems (AIS). The unit of analysis in this study was Regional Development Banks (Indonesian: Bank Pembangunan Daerah / BPD) throughout Indonesia. Data collected by using a questionnaire. The respondents were BPD employees as the AIS users. The total research sample used was 275, while the questionnaire return rate was 64% (176). The data were processed and analyzed using the Partial Least Square SEM method. The results proved that organizational commitment has no effect on the success of accounting information system. In general, BPD employees’ commitment to the organization is at the “adequate” level, which means that they are not fully committed to supporting the success of the accounting information system. The results of this study do not support the theory and results of previous studies which state that organizational commitment affects the success of the accounting information systems.

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