PENGGUNAAN TREND FORECASTING2017/18 GREYZONESEBAGAI ACUAN DALAM PENCIPTAAN KARYA DESAINER YOGYAKARTA

Mei Dyanggita Yustiari, , Indonesia
Sri Widarwati,M.Pd, , Indonesia

Abstract


Penelitian ini bertujuan untuk mengetahui: 1)Penciptaan karya Desainer di Yogyakarta dengan
menggunakan Trend Forecasting 2017/18 Greyzone sebagai acuan; 2)Penciptaan karya Desainer di
Yogyakarta dengan menggunakan Trend Forecasting 2017/18 Tema Archean; 3)Penciptaan karya
Desainer di Yogyakarta dengan menggunakan Trend Forecasting 2017/18 Greyzone Tema Vigilant;
4)Penciptaan karya Desainer di Yogyakarta dengan menggunakan Trend Forecasting 2017/18 Tema
Cryptic; 5)Penciptaan karya Desainer di Yogyakarta dengan menggunakan Trend Forecasting 2017/18
Tema Digitarian. Penelitian ini menggunakan pendekatan deskriptif kuantitatif. Populasi sebanyak 3
orang dalam proses produksi di Pungky Rumah Jahit dengan teknik sampel jenuh. Teknik
pengumpulan data menggunakan angket. Hasil validitas isi layak (97,6%). Reliabilitas menggunakan
rumus Intraclass Correlation (ICC) dengan hasil 0.980 (stabilitas tinggi).Teknik analisis data dengan
statistik deskriptif.Hasil penelitian menunjukkan Penggunaan: 1)Trend Forecasting 2017/18 sebagai
acuan penciptaan karya termasuk dalam kategori Sebagian Besar dengan skor mean ideal 250; 2)
Unsur tema Archean termasuk dalam kategori Sebagian Besar (mean 63,3); 3) Tema Vigilant kategori
Sebagian Besar (mean 66,36); 4) Tema Cryptic kategori Sebagian Besar (mean 65,9); 5)Tema
Digitarian kategori Sedang (mean 57). Hasil tersebut menunjukkan bahwa penggunaan trend
forecast dalam penciptaan karya desainer sangat penting.

Kata kunci :fashion trend forecasting, Greyzone, penciptaan karya, desainer, Yogyakarta
 
 
 
USE OF 2017 / 18 GREYZONE TREND FORECASTING AS REFERENCE IN THE CREATION
OF DESIGNERS’ WORKS IN YOGYAKARTA
ABSTRACT
This study aims to knowing: 1) The creation of the designers’ works in Yogyakarta by using
Trend Forecasting 2017/18 Greyzone as a reference; 2) The creation of designer works in Yogyakarta
using the 2017/18 Greyzone Archean Theme Trend Forecasting; 3) The creation of designers' works
in Yogyakarta by using Trend Forecasting 2017/18 Greyzone Vigilant Theme; 4)The creation of
designers’ works in Yogyakarta by using the 2017/18 Trend Forecasting Greyzone Cryptic Theme; 5)
The creation of designers' works in Yogyakarta by using Trend Forecasting 2017/18 Digitarian
Themes.This research employs quantitative descriptive approach. The population is three people in
the production process at Pungky Rumah Jahit, with the sampling technique of samples saturated.The
data collection was conducted using questionnaires. The result of the content validity is 97.6%.The
reliability test was conducted using the Intraclass Correlation (ICC) formula with the result of 0.980
(high stability). The technique of data analysis is descriptive statistic.The results show that the use of:
1)the 2017/18 Greyzone Trend Forecasting as the reference for creation of the worksis included in the
Most Used category with an ideal mean score of 250; 2)the Archean theme element is included in the
Most used category (mean of 63.3); 3) the Vigilant theme elements is included in the Mostused
category(mean of 66.36); 4) the Cryptic theme elements is included in the Most used category, (mean
of 65.9; 5) the use of the Digitarian theme element is included in the Medium category( mean of 57).
These results indicate that the use of forecast trends in the creation of designer work is very important

Keywords: fashion, trend forecasting, Greyzone, creation of works, designers, Yogyakarta

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References


ranon, E.L. (2010). Fashion Forecasting

(3rd ed). New York: Fairchild Books

IFT.(2017). Fashion Trend Forecasting 2017-

‘GREYZONE’.Jakarta : BEKRAF

Kim, E., Fiore, A., & Kim, H. (2011). Fashion

Trends : Analysis and Forecasting.

London : Bloomsbury Publishing Plc.

Penggunaan Trend Forecasting 2017/18.... (Mei Dyanggita Yustiari)

McKelvey, K, & Munslow, J. (2008). Fashion

Forecasting. West Sussex, UK: Wiley

Blackwell

Chintya Safitri.2017. Pemahaman Trend

fashion siswa kelas XI Tata Busana di

Sekolah Menengah Kejuruan.

Yogyakarta: Jurnal ilmiah PKK

Universitas Sarjanawiyata Tamansiswa

Vol. 3 no. 1:1

Eckman, M., Damhorst, M., & Kadolph, S.

(1990). Towards a model of in-store

purchase decisions process: consumer use

of criteria for evaluating women’s

apparel. Clothing & Textiles Research

Journal, 8(2), 13-22

HE Ikhsan. 2014. Desain Interiror Fasilitas

PendidikanFashion Sebagai Penunjang

Industri Mode di Bandung. Bandung:

Jurnal Tingkat Sarjana Bidang Senirupa

dan DesainVol. 1 no.1:1

Lin, S., & Jerusalem, M. (2016). Integrated

MCDM for evaluating fashion design

schemes. International Journal of Clothing

Science and Technology, Vol 28 Iss 6 pp.

- 892

Wikket, J.L., Gaskill, L.R., & Damhorst, M.L.

(1999). Apparel Retail Product

Development: Model Testing and

Expansion. Clothing and Textiles

Research Journal, 17(1), 21-35

Adiibah, N.S. (2017). Inilah Tiga Subsektor

Industri Kreatif yang Menjadi Unggulan

Perekonomian Kreatif dalam

https://kumparan.com/soprema-

ugm/inilah-tiga-subsektor-industri-

kreatif-yang-menjadi-unggulan-

perekonomian-

kreatif#fvA2vIZC828zKbIq.99 diakses

pada september 2017

Aziz, F. (2013).Perkembangan Industri dan

Ekonomi Kreatif di Indonesia dalam

https://fauzanaziz.wordpress.com/2013

/03/12/perkembangan-industri-dan-

ekonomi-kreatif-di-indonesia/diakses

pada september 2017




DOI: https://doi.org/10.21831/teknik%20busana.v7i4.11771

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