Kansei Mining-based in Services sebagai Alternatif Pengembangan Metodologi Affective Design

  • Markus Hartono University of Surabaya
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Keywords: Affective design, Kansei engineering, services, text mining

Abstract

Abstract—Recent research in the field of affective design or known as Kansei engineering for affective design is faced with challenges and opportunities to obtain emotional needs (also called Kansei) that are valid and truly representative of the needs and experience of customer for certain products or services in a certain period. Kansei is indeed sensitive to objects, culture, time-based and the changes of the customer's emotional needs. The challenge so far has been to map the relationship between Kansei and service attributes correctly and representatively. Often what happens is that lack of the process of collecting and validating Kansei words which is limited to the number of samples and research methodology. Thus, this study was carried out by focusing on the study of literature and the development of Kansei engineering model using Kansei text-based mining approach applied to services.

Keywords: Affective design, Kansei engineering, services, text mining

Abstrak—Beberapa penelitian di bidang desain afektif atau dikenal dengan Kansei engineering for affective design dihadapkan pada tantangan dan peluang untuk mendapatkan kebutuhan emosional (disebut juga sebagai Kansei) yang valid dan benar-benar representatif terhadap kebutuhan dan pengalaman konsumen terhadap produk atau layanan tertentu dalam masa tertentu. Kansei memang sensitif terhadap obyek, kultur, waktu dan juga dinamika dari kebutuhan emosional pelanggan itu sendiri. Tantangan yang ada selama ini adalah memetakan hubungan secara benar dan representatif antara Kansei dan service attributes. Seringkali yang terjadi adalah adanya lacking dari proses pengumpulan dan validasi Kansei words yang terbatas pada jumlah sampel dan metodologinya. Dengan demikian, studi ini dilakukan dengan menitikberatkan pada studi literatur dan pengembangan model Kansei engineering menggunakan pendekatan text mining di industri jasa.

Kata kunci: Affective design, Kansei engineering, layanan, text mining

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References

Hartono, M., Tan, K.C 2011, ‘How Kano Model Contributes to Kansei Engineering in Services’, Ergonomics, 54(11), 987–1004

Hartono, M., Santoso, A., Prayogo, D.N 2017, ‘How Kansei Engineering, Kano and QFD can improve logistics services’, International Journal of Technology, 6, 1070 – 1081

Hartono, M 2018, ‘Kansei Engineering di Industri Jasa: Sebuah Pendekatan Ergonomi Kontemporer’. MNC Publishing

Helander, M. G., Khalid, H. M 2006, ‘Affective and Pleasurable Design’. In: Salvendy, G. (ed.), Handbook of Human Factors and Ergonomics. 3rd edition, New York: Wiley Interscience, 543 – 572

Hsiao, Y.-H., Chen, M.-C., Liao, W.-C 2016, ‘Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis’, Telematics and Informatics, 34 (4), 284 – 302

Jiao, J.R., Zhang, Y., Helander, M 2006, ‘A Kansei mining system for affective design’, Expert Systems with Application, 30, 658 – 673

Lee, Y.-H., Chen, T.-L 2006, ‘A Kano two-dimensional quality model in Taiwan’s hot spring hotels service quality evaluations’, Journal of American Academy of Business 8 (2), 301-306

Nagamachi, M 1995, ‘Kansei Engineering: A New Ergonomic Consumer-oriented Technology for Product Development’, International Journal of Industrial Ergonomics, 15, 3–11

Nagamachi, M 2002, ‘Kansei engineering in consumer product design’, Ergonomics in Design - The Quarterly of Human Factors Applications, 10(2), 5-9

Nagamachi, M., Lokman, A.M 2011, ‘Innovations of Kansei Engineering’. Boca Raton: CRC Press

Schütte, S., Eklund, J., Ishihara, S., Nagamachi, M 2008, ‘Affective Meaning: The Kansei Engineering Approach’. In

Schifferstein, H.N.J. and Hekkert, P. (Eds), Product Experience. 1st edition, Elsevier Ltd, Oxford, UK, 477- 496

Published
2020-02-28
How to Cite
Hartono, M. (2020). Kansei Mining-based in Services sebagai Alternatif Pengembangan Metodologi Affective Design. Keluwih: Jurnal Sains Dan Teknologi, 1(1), 63-68. https://doi.org/10.24123/saintek.v1i1.2817