Staying Happy During COVID-19: Analyzing Happiness Indicators Among Poultry Farmers in Malang Regency

This study aims to examine the contribution of each happiness indicator, assess the overall happiness levels among laying hen and broiler chicken farmers, and analyze variations in happiness based on farm scale during the COVID-19 pandemic in Malang Regency. The research site was chosen through purposive sampling, as Malang Regency is a key center for poultry farming in East Java. Accidental sampling yielded 75 respondents, comprising 36 farmers with less than 5,000 livestock and 39 with more than 5,000. Results identified 16 valid indicators out of the 21 used in the study. The roles of each happiness indicator were as follows: education and skills (0.782), employment (0.780), health (0.632), family harmony (0.735), leisure availability (0.757), social relations (0.754), security conditions (0.584), happiness (0.716), absence of depression (0.793), optimism (0.867), empathy (0.570), independence (0.828), environmental mastery (0.815), self-development (0.598), positive relationships (0.615), and life goals (0.605). The overall happiness score for poultry farmers was 4.37, with laying hen farmers at 4.33 and broiler chicken farmers at 4.39, placing them in the "happy" category. No significant difference was observed in happiness levels between farmers with business scales below and above 5,000 livestock.

Authors

Institutions

Publication Details

Journal
Agriecobis Journal of Agricultural Socioeconomics and Business
Published
2024-10-31
DOI
https://doi.org/10.22219/agriecobis.v7i02.35751
Primary Topic
Livestock and Poultry Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Staying Happy During COVID-19: Analyzing Happiness Indicators Among Poultry Farmers in Malang Regency

Anas Tain, Damat Damat, Sutraning Nurahmi
Agriecobis Journal of Agricultural Socioeconomics and Business
Livestock and Poultry Management
article

Staying Happy During COVID-19: Analyzing Happiness Indicators Among Poultry Farmers in Malang Regency

Anas Tain, Damat Damat, Sutraning Nurahmi
article en

Abstract

This study aims to examine the contribution of each happiness indicator, assess the overall happiness levels among laying hen and broiler chicken farmers, and analyze variations in happiness based on farm scale during the COVID-19 pandemic in Malang Regency. The research site was chosen through purposive sampling, as Malang Regency is a key center for poultry farming in East Java. Accidental sampling yielded 75 respondents, comprising 36 farmers with less than 5,000 livestock and 39 with more than 5,000. Results identified 16 valid indicators out of the 21 used in the study. The roles of each happiness indicator were as follows: education and skills (0.782), employment (0.780), health (0.632), family harmony (0.735), leisure availability (0.757), social relations (0.754), security conditions (0.584), happiness (0.716), absence of depression (0.793), optimism (0.867), empathy (0.570), independence (0.828), environmental mastery (0.815), self-development (0.598), positive relationships (0.615), and life goals (0.605). The overall happiness score for poultry farmers was 4.37, with laying hen farmers at 4.33 and broiler chicken farmers at 4.39, placing them in the "happy" category. No significant difference was observed in happiness levels between farmers with business scales below and above 5,000 livestock.

Agriecobis Journal of Agricultural Socioeconomics and BusinessVol. 7(02)
Universitas Muhammadiyah Malang (ID), Universitas Muhammadiyah Jember (ID)
Openalex Percentile: Top 78%
Livestock and Poultry Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.