A System Analysis and Design for SMEs Product Presentation on E-commerce Website based on Kansei Engineering (Case Study: SMEs Products of Ponorogo Regency)
Nowadays, various e-commerce websites are readily accessible to consumers and are increasing rapidly over time. The vast advantages provided by e-commerce websites have made consumers become more sophisticated. Consumers will choose the e-commerce that matches their own feeling rather than the ones that could function well. Kansei Engineering (KE) is a technology to assimilate human kansei for a product and design variable. Previously, there were many studies that applied KE on e-commerce website design. Among them are the ones that focus on e-commerce design. However, there is still no study that pays attention in product presentation design on e-commerce website based on KE. The development of e-commerce website design for Ponorogo’s SMEs product marketing can focus on affective quality of the design. The affective responses that affect the user’s perception of cognitive quality, usability and ease of use of e-commerce. The development of SMEs e-commerce website design should be able to meet the consumers’ expectation. The good affective quality is one of the pleasure factor of the consumer’s needs. This study is aimed to make SMEs product presentation on e-commerce website to meet the affective needs of the user by using Kansei Engineering. The BPMN is used to analyse the process design of the SMEs e-commerce website. The result of Kansei words selection and extraction using TF-IDF and PCA are three design concepts. The formulation of new SME e-commerce website results from the integration of three design concept and four design elements. The “Modern” concept has the greatest value than other concepts after QTT-1 analysis.
KeywordsE-commerce Website Kansei Engineering SMEs Product System Analysis and Design
Unable to display preview. Download preview PDF.
- 1.Chen, Y.: Research on Optimized Design of Kansei Engineering-based Web Interface. 2013 International Conference on Computational and Information Sciences. (2013).Google Scholar
- 2.Lokman A. M.: Design & Emotion: The Kansei Engineering Methodology. MJOC10. 1(1): 1-14. (2010).Google Scholar
- 3.Kim, M., Lennon, S. The Effect of Visual and Verbal Information on Attitudes and Purchase Intentions in Internet Shopping. Psychology & Marketing, 25(2), 146-178. (2008).Google Scholar
- 4.Nagamachi M.: Kansei Engineering. Kaibundo, Tokyo (1989).Google Scholar
- 5.Nagamachi M.: Kansei/Affective Engineering. CRC Press, United States (2011).Google Scholar
- 6.Aktiva R., Nurhadryani Y., Djatna T.: A Design of Visual Usability for Ecotourism Mobile Application Using Kansei Engineering [thesis]. Bogor Agricultural University, Bogor (2015).Google Scholar
- 7.Chik, R. Z. W., Lokman, A.M.: Effect of Product Customization on Consumers Shopping Enjoyment towards the Intention to Purchase Online. The International Conference on Business Information Technology 2006 (BIZIT ‘06). (2006).Google Scholar
- 8.Lokman, A.M., Noor, N. M., Nagamachi, M.: Dominant Pattern of Visual Design in Online Clothing Websites. The 3rd International Conference on Web Information System and Technologies (WEBIST ‘07). (2007).Google Scholar
- 9.Lokman, A.M., Noor, N. M.,Nagamachi, M.: Kansei Engineering: A Study on Perception of Online Clothing Websites. The 10th International Conference on Quality Management and Operation Development. (2007).Google Scholar
- 10.Noor, N. M., Lokman, A.M., Nagamachi, M.: Applying Kansei Engineering to Determine Emotional Signature of Online Clothing Websites. The 10th International Conference on Enterprise Information System. (2008).Google Scholar
- 11.Lokman, A.M., Nagamachi, M.: Validation of Kansei Engineering Adoption on e-commerce Web Design. Kansei Engineering International, 9(1), 23-29. (2009).Google Scholar
- 12.Chuan, N. K., Sivaji, A., Shahimin, M. M., Saad, N.: Kansei engineering for e-commerce sunglasses selection in Malaysia. The 9th International Conference on Cognitive Science, 97, 707-714. (2013).Google Scholar
- 13.Kominfo. Ministry of Communications and Informatics 2017. https://www.kominfo.go.id/content/detail/9514/umkm-go-online-upaya-wujudkan-visi-digital-energy-of-asia/0/berita_satker. Last accessed 2017/9/28.
- 14.Rahayu, R., Day, J.: E-commerce adoption by SMEs in developing countries: evidence from Indonesia. Eurasian Bus Rev, 7, 25-41. (2017).Google Scholar
- 15.Mutmainah, D.A.: The Contribution of MSME to GDP Penetrate More Than 60 percent. https://www.cnnindonesia.com/ekonomi/20161121122525-92-174080/kontribusi-umkm-terhadap-pdb-tembus-lebih-dari-60-persen/. Last accessed 2017/9/28.
- 16.DEPKOP. Ministry of Cooperatives and SMEs 2014, http://www.depkop.go.id/pdf-viewer/?p=uploads/tx_rtgfiles/sandingan_data_umkm_2012-2013.pdf, last accessed 2017/9/28.
- 17.Purnomo, R. A., Ardiana, T. E.: Mapping Potential Technology Appropriate Small and Medium Enterprises as Efforts to Improve Technology Preparation Leadership in Region of Ponorogo. MediaTrend, 12(2), 127-142. (2017).Google Scholar
- 18.Maryeni, Y. Y., Govindaraju, R., Prihartono, B., Sudirman, I.: E-commerce Adoption by Indonesian SMEs. Australian Journal of Basic and Applied Sciences, 8(14), 45-49. (2014).Google Scholar
- 19.Tajuddin M., Manan A., Adil A.: Studi Kasus Model Strategi Pemasaran Terintegrasi Berbasis Teknologi Informasi di Nusa Tenggara Barat. Jurnal Ilmiah Kursor Menuju Solusi Teknologi Informasi. 06(02):65-76. (2011).Google Scholar
- 20.Sumiari, N. K.: Analysis and E-commerce Design for Small Enterprises and Medium (Case Study on Department of Industry and Commerce Denpasar City). Proceeding of The National Seminar of Information Technology and Multimedia 2015, 41-46. (2015).Google Scholar
- 21.Wasson, C. S.: System Analysis, Design, and Development: Concepts, Principles and Practices. John Wiley and Sons, Canada (2006).Google Scholar
- 22.Russo, V., Ciampi, M., and Esposito, M.: A business process model for integrated home care. Proceedia Computer Science, 63, 300-307. (2015).Google Scholar
- 23.Suhr, D. D.: Principal Component Analysis vs Exploratory Factor analysis. SUGI 30. (2005).Google Scholar