Proceedings of the International Conference on Science and Technology (ICST 2018)

Labor Planning of Farmer Households

Authors
Endang Yektiningsih, Sigit Dwi Nugroho, Eko Nurhadi, Sugiarto Sugiarto
Corresponding Author
Endang Yektiningsih
Available Online December 2018.
DOI
10.2991/icst-18.2018.68How to use a DOI?
Keywords
Planning, Labor, Farmer Household, Vegetables
Abstract

This research aims to identify the working time allocation of vegetable farm households and arrange a labor planning model specially at vegetable farming households. This research was held in Tutur Sub-District, Pasuruan Regency with a total sample of vegetable farming households as many as 60 persons. The results of the study showed that vegetable farmers' households did not use wage labor system, all activities were carried out by family workers. Workforce planning is structured based on problems and root problems that come from internal and external factors and then made by a matrix that leads to workforce planning. Labor planning made by considering the characteristics of farm households and developing technologies that have been mastered and innovated.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Science and Technology (ICST 2018)
Series
Atlantis Highlights in Engineering
Publication Date
December 2018
ISBN
10.2991/icst-18.2018.68
ISSN
2589-4943
DOI
10.2991/icst-18.2018.68How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Endang Yektiningsih
AU  - Sigit Dwi Nugroho
AU  - Eko Nurhadi
AU  - Sugiarto Sugiarto
PY  - 2018/12
DA  - 2018/12
TI  - Labor Planning of Farmer Households
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 321
EP  - 324
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.68
DO  - 10.2991/icst-18.2018.68
ID  - Yektiningsih2018/12
ER  -