The development of instruments for farmers’ participation in water management in tidal lowlands using confirmatory factor analysis

Water user associations or farmer groups carry out water management on tidal land. In its management, the participation of farmers in the group is necessary. This study aimed to examine the indicators of participation that positively affect the sustainability of tidal agriculture. The variables used...

Full description

Saved in:
Bibliographic Details
Published inEmirates Journal of Food and Agriculture Vol. 34; no. 9; pp. 773 - 783
Main Authors Tafarini, Meitry Firdha, Yazid, Muhammad, Suryadi, F.X., Prayitno, Bambang, Faizal, Muhammad, Khairul Fahmi Purba, Khairul
Format Journal Article
LanguageEnglish
Published Sofia College of Food & Agriculture, United Arab Emirates University 01.01.2022
Pensoft Publishers
Subjects
Agricultural land
Agriculture
Beliefs, opinions and attitudes
Chi-square test
Factor analysis
Farmers
Goodness of fit
Hypotheses
Indicators
Irrigation water
Leadership
Lowlands
Management
Parameter estimation
Participation
Statistical tests
Sustainability
Tidal lands
Towns
Variables
Water consumption
Water management
Wetlands
Indonesia
Sumatra
Online AccessGet full text

Cover

More Information
Summary:Water user associations or farmer groups carry out water management on tidal land. In its management, the participation of farmers in the group is necessary. This study aimed to examine the indicators of participation that positively affect the sustainability of tidal agriculture. The variables used in this study are participation (5 indicators), leadership (5 indicators), attitude & understanding (4 indicators), and utilization & maintenance (4 indicators). The research locations were in the tidal area of Telang Karya and Telang Rejo Village. The number of samples in this study was 245 farmers. This study used confirmatory factor analysis (CFA) by building the model of first-order CFA and second-order CFA. Evaluation of the model was done by looking at the Goodness of Fit Indexes, namely chi-square (χ2), root mean square error of approximation (RMSEA), CFI, TLI, GFI, and AGFI. The research results on the second-order CFA resulted in a value of R2 = 137.414, and the model was a good fit. The results of the indicators analysis used were significant to be applied in tidal lowlands agriculture.
ISSN:2079-052X
2079-0538
DOI:10.9755/ejfa.2022.v34.i9.2936