Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia

Research Article

Analysis of Determination Factors Outcome of Livelihood of Farmer Post-Tsunami in Aceh

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  • @INPROCEEDINGS{10.4108/eai.20-1-2018.2282440,
        author={Adhiana  Adhiana and Nurasih  Shamadiyah and Riyandhi  Praza},
        title={Analysis of Determination Factors Outcome of Livelihood of Farmer Post-Tsunami in Aceh},
        proceedings={Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia},
        publisher={EAI},
        proceedings_a={WMA-1},
        year={2019},
        month={9},
        keywords={aceh determination factor farmer outcome of livelihood post-tsunami},
        doi={10.4108/eai.20-1-2018.2282440}
    }
    
  • Adhiana Adhiana
    Nurasih Shamadiyah
    Riyandhi Praza
    Year: 2019
    Analysis of Determination Factors Outcome of Livelihood of Farmer Post-Tsunami in Aceh
    WMA-1
    EAI
    DOI: 10.4108/eai.20-1-2018.2282440
Adhiana Adhiana1,*, Nurasih Shamadiyah1, Riyandhi Praza1
  • 1: Departement of Agribussiness, Faculty of Agriculture, Universitas Malikussaleh, Aceh, Indonesia
*Contact email: adhiana@unimal.ac.id

Abstract

Limitations of access and loss of various life assets caused by tsunami and conflicts in Aceh faced by farmers have an influenced to their survival. This research aims to analyze the model of determination factor outcome of livelihood of farmer post-tsunami in Aceh. The sample of this study was in Aceh Province covering five areas: Aceh Barat, Aceh Besar, Pidie Jaya, Bireun and Aceh Utara. The total sample for this study was 280 farmers using stratified random sampling method. This research uses primary data obtained by survey using quesioner and secondary data. Data analysis using qualitative and quantitative methods with Structural Equation Modeling. This model used as the final model for the construct of the outcome of livelihood of farmer's determination factors as it demonstrates a good model compatibility. Its also indicates that all loading factor values have above 0.5 and all probability values are significant at a = 1%. Its indicated that all indicators can explain the existing constructs.