Proceedings of the First National Seminar Universitas Sari Mulia, NS-UNISM 2019, 23rd November 2019, Banjarmasin, South Kalimantan, Indonesia

Research Article

Factors That Influence Nurse Turnover Intention In Sari Mulia Banjarmasin Hospital

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  • @INPROCEEDINGS{10.4108/eai.23-11-2019.2298360,
        author={Hateriah  Hateriah and Esti  Yuandari},
        title={Factors That Influence Nurse Turnover Intention In Sari Mulia Banjarmasin Hospital},
        proceedings={Proceedings of the First National Seminar Universitas Sari Mulia, NS-UNISM 2019,  23rd November 2019, Banjarmasin, South Kalimantan, Indonesia},
        publisher={EAI},
        proceedings_a={NS-UNISM},
        year={2020},
        month={7},
        keywords={factors compensation turnover intention nurses},
        doi={10.4108/eai.23-11-2019.2298360}
    }
    
  • Hateriah Hateriah
    Esti Yuandari
    Year: 2020
    Factors That Influence Nurse Turnover Intention In Sari Mulia Banjarmasin Hospital
    NS-UNISM
    EAI
    DOI: 10.4108/eai.23-11-2019.2298360
Hateriah Hateriah1,*, Esti Yuandari2
  • 1: Diploma Four in Health PromotionUniversitas Sari Mulia
  • 2: Sari Mulia University, Indonesia
*Contact email: siti.hateriah@yahoo.com

Abstract

Turnover is an important issue for hospitals and nurses, many nurses at Sari Mulia Hospital intend to turnover in the last 3 years. Nurse's turnover intention is influenced by many factors. Knowing and analyzing the factors that influence nurse turnover intention at Sari Mulia Hospital Banjarmasin. This study used an observational analytic method with a cross sectional approach. Sampling is done by probability sampling. The sample in this study was 60 people using a questionnaire. Data were analyzed using Pearson correlation test and logistic regression test. Based on the results of the analysis it was found that of the 60 most influential on intention turnover compensation was obtained p-value 0.005 with OR 0.217. It is expected that the results of this study can be used as a reference for future researchers to examine other variables.