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        Nexus between Inflation and Unemployment: Evidence from Indonesia

        Dwi WULANDARI,Sugeng Hadi UTOMO,Bagus Shandy NARMADITYA,Mahirah KAMALUDIN 한국유통과학회 2019 The Journal of Asian Finance, Economics and Busine Vol.6 No.2

        This study intended to examine the relationship between inflation and unemployment rate in Indonesia during 1987 to 2018 period. The study applied a quantitative method using Vector Error Correction Model (VECM) in order to comprehensively understand the causality between inflation and unemployment rates. The data were collected from various main sources including the World Bank, Central Bank of Indonesia, and Central Bureau of Statistics (BPS). The findings showed that inflation has a one-way relationship toward unemployment in Indonesia and it occurs at the third lag. Impulse Response Function (IRF), shows that the inflation rate are fluctuating in response to the shock of unemployment. The unemployment rate responses to shocks from inflation initially increased until it is eventually diminished. It shows that the shocks caused by the impact of inflation were only in the short term. Further, inflation in the three previous lags will have consequences for the unemployment rate in the year. Lastly, both in the long run and short run, unemployment did not affect inflation rates. These findings suggest that high inflation in Indonesia is determined the rising price of basic commodities and fuel. In addition, most companies in Indonesia applying capital intensive so that employment growth in Indonesia is small.

      • SCOPUS

        Nexus between Production Input and Price Commodity: An Integration Analysis of Rice Barns in East Java of Indonesia

        WULANDARI, Dwi,NARMADITYA, Bagus Shandy,PRAYITNO, Putra Hilmi,ISHAK, Suryati,SAHID, Sheerad,QODRI, Lutfi Asnan Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.10

        This study aims to examine the causality between production input and the price of rice in East Java, Indonesia. This study applied a quantitative method to understand in a comprehensive way the correlation between variables. The data used for this study were collected from several sources, including East Java Agriculture Office, Siskaperbapo.com, and Statistics Indonesia (BPS) of East Java. This research was carried out over five years, starting from 2014 to 2018. Furthermore, the data were analyzed using the Vector Error Correction Model (VECM) by employing E-Views (version 7). The findings of this study indicated that, in the long run, the population, rice production, and changes in people's income have a positive effect on price stability, but are inversely proportional if seen in the short term. In comparison, in the long run, farmer exchange rates variable has a negative impact on price stability, and inversely proportional in the short term, which has a positive effect. There are different implications when the people's income increases and the rice price declines; these have great potential to alleviate poverty in East Java, Indonesia. This is due to the fact that the price stability also concerns the welfare of the community.

      • KCI등재

        Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts

        Nyoman Anita Damayanti,Darmawan Setijanto,Arief Hargono,Ratna Dwi Wulandari,Maya Weka Santi,Benny Tjahjono,Aulia Ramadhani 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.3

        Objectives: The aim of this study is to demonstrate how an integrated information system of mother and toddler cohorts can be developed as a basis of the continuum of care approach that subsequently can be used as the basis of early detection of risk factors of maternal mortality. Methods: This research was carried out qualitatively. The data was collected through three techniques: in-depth interviews, focus group discussion, and document studies at six public health centers located in four sub-districts of Surabaya, Indonesia. This research was conducted from 2016 to 2018. Results: The data collected from this research has become a basis input data requirement analysis for an integrated mother and toddler cohort information system. The system accommodates all the variables in each period of pre-marriage, pregnancy, labor, infancy and toddlerhood. The system facilitates healthcare workers to retrieve data and information related to mother and toddler health status. Conclusions: The availability of various pieces of information enables the health status of mothers and toddlers to be monitored thoroughly throughout their long-life cycle. This continuum of care approach is beneficial in the early detection and management of risk factors of maternal mortality, such as pregnancy complications as well as childbirth and postpartum complications.

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