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 Implementasi Kansei Engineering Dalam Desain Tampilan Website Perguruan Tinggi

2018 ◽  
Vol 3 (1) ◽  
pp. 71
Author(s):  
Yudhi Raymond Ramadhan
Keyword(s):  
Higher Education ◽  
Principal Component Analysis ◽  
Factor Analysis ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Type I ◽  
Kansei Engineering ◽  
Alpha Coefficient ◽  
Coefficient Corrélation

Tampilan sebuah website awalnya dikembangkan dari sisi fungsi dan kegunaan website tersebut. Seiring dengan perkembangan zaman, dalam merancang tampilan sebuah website mulai melibatkan sisi perasaan atau emosi dari pengguna website. Penelitian ini mengimplementasikan metode Kansei Engineering dalam merancang tampilan sebuah website perguruan tinggi, dimana sisi perasaan atau emosi pengguna dapat dilibatkan dalam merancang tampilan sebuah website. Metodologi yang digunakan adalah metodologi Kansei Engineering Type I, yang memecah sebuah konsep desain menjadi sub konsep. Penelitian ini menggunakan 15 Kansei Word dan 16 spesimen website perguruan tinggi. Partisipan yang terlibat pada penelitian ini adalah 70 partisipan yang terdiri dari 10 orang dosen dan  60 orang mahasiswa STIEB Perdana Mandiri. Hasil kuesioner dari partisipan kemudian diolah dengan menggunakan analisis statistik multivariat yakni Cronbach’s Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) dan analisis Partial Least Square (PLS). Berdasarkan hasil pengolahan data dari seluruh partisipan diperoleh tiga rekomendasi elemen desain tampilan website Perguruan Tinggi yang mewakili perasaan atau emosi dari pengguna website perguruan tinggi.Kata kunci: Kansei Engineering, website, perasaan, emosi, perguruan tinggi The website interface was originally developed in terms of functionality and usability of the website. Along with the development of the era, in designing website interface began to involve the feelings or emotions of website users. This research implemented Kansei Engineering method of designing higher education website interface, which are the feelings or emotions of users can be involved in designing website interface. The methodology used was the Kansei Engineering Type I, which breaks down a design concept into sub concepts. This study used 15 Kansei Words and 16 specimens of higher education websites. Participants involved in this research were 70 participants consisted of 10 lecturers and 60 students of STIEB Perdana Mandiri. The results of questionnaires from the participants were processed using multivariate statistical analysis are Cronbach's Alpha, Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Partial Least Square (PLS) analysis. Based on the results of data processing from all participants, there are obtained three recommendations of design elements of the higher education website that represents the feelings or emotions of higher education website users.Keywords: Kansei Engineering, website, feelings, emotions, higher education 

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 Implementasi Kansei Engineering pada Aplikasi E-learning Untuk Sekolah Menengah Kejuruan

2019 ◽  
Vol 9 (2) ◽  
pp. 165
Author(s):  
Yoga Megasyah
Keyword(s):  
Teaching And Learning ◽  
Logical Consequence ◽  
Principal Component ◽  
Word List ◽  
Partial Least Square ◽  
Least Square ◽  
Kansei Engineering ◽  
Multivariate Statistical ◽  
Coefficient Corrélation ◽  
E Learning

E-learning is the basis and logical consequence of the development of information and communication technology. With E-learning, teaching and learning methods in schools that use technology through electronic media such as computers, laptops, netbooks, or smartphones with internet networks or others. This study uses Kansei Word to detect the feelings of users of E-learning applications. The Kansei Word list is used as many 15 words related to the appearance of the E-learning application. E-learning application specimens used 8 specimens. This study involved 80 participants consisting of 40 students from SMK PGRI 3 Cimahi, 40 students from SMK 4 Padalarang. The questionnaire results from participants were then 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) analysis. This study produced 3 recommendations for the design of E-learning application. This recommendation is the result of the Kansei Engineering process which comes from 3 groups of participant data, namely groups of data of all participants, participants of SMK PGRI 3 Cimahi students and participants of SMK 4 Padalarang students.

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 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 THE INFLUENCE OF USER INTERFACE, USER EXPERIANCE AND DIGITAL MARKETING TOWARD PURCHASE INTENTION (STUDY IN SEJASA.COM)

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Eldad Baltaszar Watulingas
Keyword(s):  
User Interface ◽  
User Experience ◽  
Purchase Intention ◽  
Survey Methods ◽  
Partial Least Square ◽  
Least Square ◽  
Digital Marketing ◽  
Validity Testing ◽  
Instrument Validity ◽  
Collection Methods

This study aims to analyze the Effect of User Interface, User Experience and Digital Marketing on Purchase Intention (Study at Sejasa.com). The population in this study was 877 users in Senopati, so the percentage of benefits used was 10% and the results of calculations could have been rounded up to 100 users to achieve the suitability of the study. The sampling method uses Convenience Sampling. Data collection methods using survey methods, with the research instrument is a questionnaire. Measurement of variables is done by Likert Scale. The instrument validity testing is done by correlating the scores on each item with the total score of the respondents' answers. Analysis of the data used is statistical analysis in the form of PLS (Partial Least Square). Research shows that the User Interface (UI) has a negative but significant effect on Purchase Intention, User Experience (UX) has a positive and significant effect on Purchase Intention, and Digital marketing has a positive but not significant effect on Purchase Intention. Keywords :    User Interface, User Experience, Digital Marketing, Purchase Intention, Sejasa.com

Pemanfaatan CFSRv2 untuk Statistical Downscaling menggunakan Principal Component Regression dan Partial Least Square

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Khairunnisa Khairunnisa ◽  
Rizka Pitri ◽  
Victor P Butar-Butar ◽  
Agus M Soleh
Keyword(s):  
Statistical Downscaling ◽  
General Circulation ◽  
Principal Component Regression ◽  
Circulation Model ◽  
Principal Component ◽  
Meteorological Station ◽  
Grid Size ◽  
Partial Least Square ◽  
Least Square ◽  
Output Data

This research used CFSRv2 data as output data general circulation model. CFSRv2 involves some variables data with high correlation, so in this research is using principal component regression (PCR) and partial least square (PLS) to solve the multicollinearity occurring in CFSRv2 data. This research aims to determine the best model between PCR and PLS to estimate rainfall at Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station by comparing RMSEP value and correlation value. Size used was 3×3, 4×4, 5×5, 6×6, 7×7, 8×8, 9×9, and 11×11 that was located between (-40) N - (-90) S and 1050 E -1100 E with a grid size of 0.5×0.5 The PLS model was the best model used in stastistical downscaling in this research than PCR model because of the PLS model obtained the lower RMSEP value and the higher correlation value. The best domain and RMSEP value for Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station is 9 × 9 with 100.06, 6 × 6 with 194.3, 8 × 8 with 117.6, and 6 × 6 with 108.2, respectively.

Evaluasi Penerapan E-Learning sebagai Media Pembelajaran Perkuliahan Online bagi Mahasiswa Universitas Sahid Surakarta

2018 ◽  
Vol 5 (2) ◽  
pp. 106-112
Author(s):  
Firdhaus Hari Saputro ◽  
Moch. Bagoes Pakarti
Keyword(s):  
Partial Least Square ◽  
Least Square ◽  
E Learning

ELUSS (E-Learning University of Sahid Surakarta) adalah sebuah website yang dikelola oleh Universitas Sahid Surakarta untuk menyediakan informasi dan sebagai media pembelajaran perkuliahan secara online. Selama ini, belum pernah dilakukan penelitian untuk mengetahui tingkat kepuasan mahasiswa dalam menggunakan ELUSS. Dalam penelitian ini digunakan variabel pengukuran yang meliputi tingkat kepuasan (satisfaction), efisiensi (efficiency), dan kemudahan untuk dipelajari (learnability) sebagai faktor untuk mengetahui tingkat penggunaan ELUSS oleh mahasiswa Universitas Sahid Surakarta. Responden dalam penelitian ini ialah 100 mahasiswa yang mewakili semua mahasiswa Universitas Sahid Surakarta. Analisis data dilakukan menggunakan Partial Least Square (PLS) dengan bantuan perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa pengguna merasa puas dan nyaman dalam menggunakan ELUSS. Pengguna juga menyatakan bahwa dengan ELUSS, mereka mudah mendapatkan materi-materi perkuliahan. Ketidakpuasan yang dirasakan olehpengguna ialah saat dimana akses website lambat dan terputus-putus sehingga memerlukan waktu yang relatif lama dan biaya yang mahal, dan menjemukan. Kata kunci : e-learning, kepuasan, efisiensi, kemudahan, usabilitas

scholarly journals A Novel Validated Injectable Colistimethate Sodium Analysis Combining Advanced Chemometrics and Design of Experiments

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1546
Author(s):  
Ioanna Dagla ◽  
Anthony Tsarbopoulos ◽  
Evagelos Gikas
Keyword(s):  
Design Of Experiments ◽  
High Performance ◽  
Similarity Index ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Distance Measures ◽  
Linear Regression Models ◽  
Colistimethate Sodium

Colistimethate sodium (CMS) is widely administrated for the treatment of life-threatening infections caused by multidrug-resistant Gram-negative bacteria. Until now, the quality control of CMS formulations has been based on microbiological assays. Herein, an ultra-high-performance liquid chromatography coupled to ultraviolet detector methodology was developed for the quantitation of CMS in injectable formulations. The design of experiments was performed for the optimization of the chromatographic parameters. The chromatographic separation was achieved using a Waters Acquity BEH C8 column employing gradient elution with a mobile phase consisting of (A) 0.001 M aq. ammonium formate and (B) methanol/acetonitrile 79/21 (v/v). CMS compounds were detected at 214 nm. In all, 23 univariate linear-regression models were constructed to measure CMS compounds separately, and one partial least-square regression (PLSr) model constructed to assess the total CMS amount in formulations. The method was validated over the range 100–220 μg mL−1. The developed methodology was employed to analyze several batches of CMS injectable formulations that were also compared against a reference batch employing a Principal Component Analysis, similarity and distance measures, heatmaps and the structural similarity index. The methodology was based on freely available software in order to be readily available for the pharmaceutical industry.

scholarly journals The inflammatory profile of cerebrospinal fluid, plasma, and saliva from patients with severe neuropathic pain and healthy controls-a pilot study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Mika Jönsson ◽  
Björn Gerdle ◽  
Bijar Ghafouri ◽  
Emmanuel Bäckryd
Keyword(s):  
Cerebrospinal Fluid ◽  
Neuropathic Pain ◽  
Pain Intensity ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Therapeutic Interventions ◽  
Healthy Controls ◽  
Inflammatory Profile

Abstract Background Neuropathic pain (NeuP) is a complex, debilitating condition of the somatosensory system, where dysregulation between pro- and anti-inflammatory cytokines and chemokines are believed to play a pivotal role. As of date, there is no ubiquitously accepted diagnostic test for NeuP and current therapeutic interventions are lacking in efficacy. The aim of this study was to investigate the ability of three biofluids - saliva, plasma, and cerebrospinal fluid (CSF), to discriminate an inflammatory profile at a central, systemic, and peripheral level in NeuP patients compared to healthy controls. Methods The concentrations of 71 cytokines, chemokines and growth factors in saliva, plasma, and CSF samples from 13 patients with peripheral NeuP and 13 healthy controls were analyzed using a multiplex-immunoassay based on an electrochemiluminescent detection method. The NeuP patients were recruited from a clinical trial of intrathecal bolus injection of ziconotide (ClinicalTrials.gov identifier NCT01373983). Multivariate data analysis (principal component analysis and orthogonal partial least square regression) was used to identify proteins significant for group discrimination and protein correlation to pain intensity. Proteins with variable influence of projection (VIP) value higher than 1 (combined with the jack-knifed confidence intervals in the coefficients plot not including zero) were considered significant. Results We found 17 cytokines/chemokines that were significantly up- or down-regulated in NeuP patients compared to healthy controls. Of these 17 proteins, 8 were from saliva, 7 from plasma, and 2 from CSF samples. The correlation analysis showed that the most important proteins that correlated to pain intensity were found in plasma (VIP > 1). Conclusions Investigation of the inflammatory profile of NeuP showed that most of the significant proteins for group separation were found in the less invasive biofluids of saliva and plasma. Within the NeuP patient group it was also seen that proteins in plasma had the highest correlation to pain intensity. These preliminary results indicate a potential for further biomarker research in the more easily accessible biofluids of saliva and plasma for chronic peripheral neuropathic pain where a combination of YKL-40 and MIP-1α in saliva might be of special interest for future studies that also include other non-neuropathic pain states.

Sign in / Sign up

Export Citation Format

Share Document