Proceedings of the 3rd Warmadewa Research and Development Seminar, WARDS 2020, 21 December 2020, Denpasar-Bali, Indonesia

Research Article

The Influence of Farmers Characteristics on Income Improvement of Laying Hens in Bangli District, Bali Province

Download187 downloads
  • @INPROCEEDINGS{10.4108/eai.21-12-2020.2305847,
        author={I Gusti Agus Maha Putra Sanjaya and I Dewa Nyoman Sudita and Ketut  Irianto and Ni Made  Yudiastari},
        title={The Influence of Farmers Characteristics on Income Improvement of Laying Hens in Bangli District, Bali Province},
        proceedings={Proceedings of the 3rd Warmadewa Research and Development Seminar, WARDS 2020, 21 December 2020, Denpasar-Bali, Indonesia},
        publisher={EAI},
        proceedings_a={WARDS},
        year={2021},
        month={4},
        keywords={laying chickens; individual characteristics; farmers income},
        doi={10.4108/eai.21-12-2020.2305847}
    }
    
  • I Gusti Agus Maha Putra Sanjaya
    I Dewa Nyoman Sudita
    Ketut Irianto
    Ni Made Yudiastari
    Year: 2021
    The Influence of Farmers Characteristics on Income Improvement of Laying Hens in Bangli District, Bali Province
    WARDS
    EAI
    DOI: 10.4108/eai.21-12-2020.2305847
I Gusti Agus Maha Putra Sanjaya1,*, I Dewa Nyoman Sudita1, Ketut Irianto1, Ni Made Yudiastari1
  • 1: Universitas Warmadewa, Denpasar, Bali-Indonesia
*Contact email: iga.sanjaya@gmail.com

Abstract

This study aims to determine the effect of individual farmers characteristics (age, formal education, knowledge, number of livestock ownership, and length as farmers) on the income level of laying hens farmers, and to determine which indicators of individual farmers characteristics variables have the most dominant influence on the income level of laying hens. The research was conducted in Bangli Regency, Bali Province. Research location is determined using purposive sampling method. The number of samples used as respondents in this study amounted to 40 farmers. Primary data collection was carried out using the direct interview method to farmers using a structured questionnaire. Data were analyzed using Partial Least Square (PLS). The results of the direct effect test prove that the individual farmers characteristics have a positive and significant impact on the farmers income level, where knowledge (X3) is the most dominant indicator of influencing this variable.