Home > Archive > 2018 > Volume 8 Number 12 (Dec. 2018) >
IJIET 2018 Vol.8(12): 874-879 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.12.1156

Educative Doll Design as Media for Learning Indonesian Traditional Folk Song Using Affective Design Approach

H. Soewardi and S. B. Maulidyawati

Abstract—Over the past decade, modernity has become a mainstream factor of entertainment. Unfortunately, it makes traditional things be abandoned slowly, especially in Indonesia. However, the lack of traditional products that can attract users’ attention is influenced by the designs from the manufacturers. Thus, the objective of this research is to develop an innovative education doll as media of learning Indonesian folk songs. Kansei Engineering (KE) method and Fuzzy Linguistics principle were used to design. More than 100 respondents were involved in this study to identify the Kansei words. This is because these methods support emotional response of the users in affective design approach. Potential attributes in developing a new single concept design were analysed using Orthogonal array and conjoint analysis. Then, the data were analysed using statistical analysis. This study resulted in an innovative education doll that is proven to be valid in meeting the consumers’ requirement.

Index Terms—Educative doll design, Indonesian traditional folk song, affective design, kansei engineering, fuzzy linguistic.

The authors are with Faculty of Industrial Technology, Islamic University of Indonesia, Indonesia (e-mail: hartomo@uii.ac.id, sitibarirohm@gmail.com).


Cite: H. Soewardi and S. B. Maulidyawati, "Educative Doll Design as Media for Learning Indonesian Traditional Folk Song Using Affective Design Approach," International Journal of Information and Education Technology vol. 8, no. 12, pp. 874-879, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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