Nur Syuhadah Kamaruddin
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Nur Syuhadah Kamaruddin
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Nur Syuhadah, Kamaruddin
Alternative Name
Kamaruddin, Nur Syuhadah
Kamaruddin, Nur Syuhada
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Scopus Author ID
57216041421

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  • Publication
    Determinants of unmet need at working area of health centre Peukan Bada Aceh Besar in 2019
    ( 2020-11-02)
    Safitri F.
    ;
    Kana I.
    ;
    Julinawati Suanda
    ;
    Nur Syuhadah Kamaruddin
    Unmet need is a multidimensional problem and will not only be a cause of population explosion but can also affect the high maternal mortality rate (MMR) in Indonesia. The percentage of national unmet need itself in 2015 was 14.87%. Unmet need in the province of Aceh amounted to 14.25% and with a percentage of the incidence in Aceh Besar as much (16.28%). The purpose of this study was to determinants of unmet need at working area of Puskesmas Peukan Bada Aceh Besar in 2019. This type of research is analytic with cross sectional approach. The research was carried out on 10th until 30th June 2019 in at working area of Puskesmas Peukan Bada Aceh Besar. Sampling by purposive sampling with a sample of 32 people. The research instrument used a questionnaire and data collection techniques by interview. Analysis of data by univariate, bivariate and multivariate methods. The results of the bivariate analysis obtained determinants of age (p=0.000 OR=27.00), education (p=0.002 OR=17.00), knowledge (p=0.018 OR=7.93), number of children (p=0.002), husband support (p=0.006 OR=12.60) and health workers role (p=0.002 OR=18.00). The results of multivariate analysis found that the most dominant factor was health workers' role (OR=11.379). It can be concluded that there is a relationship between age, education, knowledge, number of children, husband's support, and the role of health workers with the Unmet need events at working area of Puskesmas Peukan Bada Aceh Besar. It is expected that health workers can provide more education to the community in the form of family planning health education, so as to reduce the number of unmet need events.
  • Publication
    Application of ant colony optimization (ACO) algorithm in the short rute search for completing travelling problem (TP)
    ( 2020-11-02)
    Mutiawati M.
    ;
    Nelly
    ;
    Julinawati Suanda
    ;
    Nur Syuhadah Kamaruddin
    Travelling in the community has become a lifestyle. Factors that become obstacles in every travelling activity include determining the destination. In this process, the traveler needs a short route. The Ant Colony algorithm is one of the heuristic methods for finding the right solution in a discrete optimization problem. The purpose of this study is to apply the workings of the Ant Colony Optimization algorithm in Travelling Problem. The information needed is information related to a location between cities and route planning for destination locations. The distance calculation is done by summing the initial distance to the end of the trip and calculating the cost of fuel. ACO has been applied to find optimal solutions to the Travelling Salesman Problem, by giving a number of n points.