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 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 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 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 Penerapan Kansei Engineering dalam Perbandingan Desain Aplikasi Mobile Marketplace di Indonesia

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Nucky Vilano ◽  
Setia Budi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Mobile Application ◽  
Principal Component ◽  
Kansei Engineering ◽  
Multivariate Statistical ◽  
Christian University ◽  
Emotional Factors ◽  
Coefficient Corrélation ◽  
Major Factors

The company's application design is very important because it displays the company's image and to attract more users to purchase/utilize the application. This research applies Kansei Engineering Method to analyze the emotion or feelings of the user towards the design of a mobile application interface. Six Kansei Words and three specimens are utilised in this research, where Kansei words are selected from words related to user experience. The participants of this research consist of 54 students from Maranatha Christian University. Participants’ responses are studied using multivariate statistical analysis (e.g., Coefficient Correlation Analysis, Principal Component Analysis, and Factor Analysis). This study explores the emotional factors that occur in designing an application. This analysis shows that there are some major factors that greatly influence the design of a mobile application interface.

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.

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

scholarly journals Different Metabolites in the Roots, Seeds, and Leaves of Acanthopanax senticosus and Their Role in Alleviating Oxidative Stress

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jie Su ◽  
Qi Wang ◽  
Zhifeng Li ◽  
Yan Feng ◽  
Yan Li ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Phenolic Acid ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Components ◽  
Leaf Extracts ◽  
Multivariate Statistical ◽  
Acanthopanax Senticosus ◽  
Different Parts

In this study, we examined the metabolites from different parts of Acanthopanax senticosus and their role in alleviating damage caused by oxidative stress. We used UHPLC-QTOF-MS to analyze the chemical components in the root, seed, and leaf extracts of A. senticosus. Two multivariate statistical analysis methods—namely, principal component analysis and partial least square discriminant analysis—were used to distinguish the samples obtained from different parts of the plant. Using univariate statistics, 130 different metabolites were screened out. Among these, the relative content of flavonoids and terpenoids was found to be highest in the leaves, the lignin and phenolic acid content was highest in the roots, and the amino acid and phenolic acid levels were highest in seeds. An MTT assay was used to test the anti-H2O2 oxidative damage to PC12 cells in different parts of the sample. Lastly, using Pearson’s correlation analysis, various metabolites from different parts of A. senticosus were correlated with their antioxidant effects from the corresponding parts. Fifty-two related different metabolites were found, of which 20 metabolites that were positively correlated to oxidative stress were present at a relatively higher level in the roots, whereas 32 metabolites that were negatively correlated were present at relatively higher levels in the seeds and leaves. The results of this study reveal the distribution characteristics and the antioxidant activity of different metabolites of A. senticosus and provide a reference for the rational development of its medicinal parts.

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.

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