The Analysis of Women Role’s in the Small Industry to Family Economic Stability

Wenni Anggita, Dipali Tole, Nikhil Joshi

Abstract

This research combines a quantitative and qualitative approach so that in this research the analytical approach uses descriptive mix method. It is intended that this research can touch on things that are not likely to be found by statistical analysis. This research combines sociology and economic science in general, it can be seen from the issues raised in this study that examines women role’s in the small industry that will be combined with the matching family economy. The results of this study showed that the role of women in the small industry is very impact on the family economic stability. In addition, the benefits perceived by the small industry is improving the economy in Sungai Selan Village. The full support of the government also helps in this process of empowering women toward economically independent women who will improve the family economic stability.

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Paper Citation


in Harvard Style

Anggita W. (2017). The Analysis of Women Role’s in the Small Industry to Family Economic Stability.In Proceedings of the 2nd International Conference on Economic Education and Entrepreneurship - Volume 1: ICEEE, ISBN 978-989-758-308-7, pages 756-759. DOI: 10.5220/0006892907560759


in Bibtex Style

@conference{iceee17,
author={Wenni Anggita},
title={The Analysis of Women Role’s in the Small Industry to Family Economic Stability},
booktitle={Proceedings of the 2nd International Conference on Economic Education and Entrepreneurship - Volume 1: ICEEE,},
year={2017},
pages={756-759},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892907560759},
isbn={978-989-758-308-7},
}


in Harvard Style

Tole D. and Joshi N. (2018). Simplifying Data Preparation for Analysis using an Ontology for Machine Data.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 167-174. DOI: 10.5220/0006892901670174


in Bibtex Style

@conference{keod18,
author={Dipali Tole and Nikhil Joshi},
title={Simplifying Data Preparation for Analysis using an Ontology for Machine Data},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892901670174},
isbn={978-989-758-330-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Simplifying Data Preparation for Analysis using an Ontology for Machine Data
SN - 978-989-758-330-8
AU - Tole D.
AU - Joshi N.
PY - 2018
SP - 167
EP - 174
DO - 10.5220/0006892901670174


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Economic Education and Entrepreneurship - Volume 1: ICEEE,
TI - The Analysis of Women Role’s in the Small Industry to Family Economic Stability
SN - 978-989-758-308-7
AU - Anggita W.
PY - 2017
SP - 756
EP - 759
DO - 10.5220/0006892907560759