Bayesian Network approach in analyzing the sustainability of the cultural industry ‘the sacred’ Gringsing Weaving

Bali is a popular tourist destination in the world, and the main entry point for foreign tourists to Indonesia. Bali is also an area in Indonesia that is famous for producing woven fabrics, which have various characteristics in each region. Gringsing weaving is one of the traditional Balinese fabrics from Tenganan Village which is considered sacred and its manufacture takes quite a long time, and is carried out with special techniques that are very difficult. This study aims to analyze and map factors related to the sustainability of the Gringsing weaving cultural industry, using the Bayesian Network approach. The results of the FGD with related stakeholders mapped the structure that forms Gringsing industrial sustainability, such as income, social capital, incentives, natural capital, custom law, and traditional institutions. Further analysis was carried out using the Bayesian Network technique and GeNIe tools. In forming the structure of thinking about the sustainability of the Gringsing Weaving industry, the related factors include culture, traditional institutions, natural capital, social capital, to economic factors, such as income and special incentives from the government. Specifically, the role of traditional institutions and government (through special incentives) was analyzed, and it was found that both factors can increase the probability of the sustainability of the gringsing weaving industry. The results of the sensitivity analysis also show that the sustainability of the Gringsing weaving industry is highly influenced (sensitive) to the increasing role of traditional institutions.

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Publication Details

Journal
Decision Science Letters
Published
2024-12-11
DOI
https://doi.org/10.5267/j.dsl.2024.10.010
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Bayesian Network approach in analyzing the sustainability of the cultural industry ‘the sacred’ Gringsing Weaving

Ni Nyoman Reni Suasih, Ida Ayu Suryasih, I Dewa Ayu Made Natasah Dewani, Amrita Nugraheni Saraswaty et al.
Decision Science Letters
Big Data and Business Intelligence
article

Bayesian Network approach in analyzing the sustainability of the cultural industry ‘the sacred’ Gringsing Weaving

Ni Nyoman Reni Suasih, Ida Ayu Suryasih, I Dewa Ayu Made Natasah Dewani, Amrita Nugraheni Saraswaty, Ida Ayu Nyoman Saskara, Desak Made Marysha Dew
article en

Abstract

Bali is a popular tourist destination in the world, and the main entry point for foreign tourists to Indonesia. Bali is also an area in Indonesia that is famous for producing woven fabrics, which have various characteristics in each region. Gringsing weaving is one of the traditional Balinese fabrics from Tenganan Village which is considered sacred and its manufacture takes quite a long time, and is carried out with special techniques that are very difficult. This study aims to analyze and map factors related to the sustainability of the Gringsing weaving cultural industry, using the Bayesian Network approach. The results of the FGD with related stakeholders mapped the structure that forms Gringsing industrial sustainability, such as income, social capital, incentives, natural capital, custom law, and traditional institutions. Further analysis was carried out using the Bayesian Network technique and GeNIe tools. In forming the structure of thinking about the sustainability of the Gringsing Weaving industry, the related factors include culture, traditional institutions, natural capital, social capital, to economic factors, such as income and special incentives from the government. Specifically, the role of traditional institutions and government (through special incentives) was analyzed, and it was found that both factors can increase the probability of the sustainability of the gringsing weaving industry. The results of the sensitivity analysis also show that the sustainability of the Gringsing weaving industry is highly influenced (sensitive) to the increasing role of traditional institutions.

Decision Science LettersVol. 14(1)
Universitas Udayana
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Big Data and Business Intelligence
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Bayesian Network approach in analyzing the sustainability of the cultural industry ‘the sacred’ Gringsing Weaving — Ni Nyoman Reni Suasih, Ida Ayu Suryasih, et al. · Decision Science Letters (2024) | TGRS Research Map | TGRS