Proceedings of the International Conference on Business, Economic, Social Science and Humanities (ICOBEST 2018)

Implementation of Recommendation Model for Determining the Marketing Area Location of Creative Industry Products

Authors
Rahma Wahdiniwaty, Eko Budi Setiawan, Deden A Wahab
Corresponding Author
Rahma Wahdiniwaty
Available Online November 2018.
DOI
https://doi.org/10.2991/icobest-18.2018.11How to use a DOI?
Keywords
recommendations, marketing, products, creative industries, analytical hierarchy process
Abstract
Marketing of products from the creative industry needs to be done by the business actors by looking at several aspects, including the selection of locations or places to market their products. This research was conducted to provide a model that can be used by business actors in determining the most appropriate location to market their products. The model has been implemented using Analytical Hierarchy Process method and has been tested to several business actors. Tools used to perform the analysis process Expert Choice. The recommended location weight difference occurs because each business actor, and the type of industry have different perceptions in the interest rating. The result obtained in this research is a model created can be used to assist business actors in determining which location is most appropriate to market products of creative industries.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2018
ISBN
978-94-6252-611-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/icobest-18.2018.11How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rahma Wahdiniwaty
AU  - Eko Budi Setiawan
AU  - Deden A Wahab
PY  - 2018/11
DA  - 2018/11
TI  - Implementation of Recommendation Model for Determining the Marketing Area Location of Creative Industry Products
PB  - Atlantis Press
SP  - 42
EP  - 46
SN  - 2352-5398
UR  - https://doi.org/10.2991/icobest-18.2018.11
DO  - https://doi.org/10.2991/icobest-18.2018.11
ID  - Wahdiniwaty2018/11
ER  -