Faktor-Faktor Yang Berhubungan Dengan Perdarahan Postpartum Primer

(Studi Kasus : RSUD Kota Bandung)

Authors

  • Sri Hayati Universitas BSI
  • Maidartati Universitas BSI
  • Mia Amelia Universitas BSI

Keywords:

Factors Primary Postpartum Hemorrhage, Hospital.

Abstract

Abstrak

Perdarahan postpartum merupakan penyebab penting kematian maternal khususnya di Negara berkembang salah satunya Indonesia. Hasil penelitian sebelumnya didapatkan data bahwa 67% kematian maternal disebabkan perdarahan terutama perdarahan postpartum primer. Penelitian ini bertujuan untuk mengetahui faktor-faktor predisposisi yaitu umur, pendidikan, jarak kelahiran, paritas dan anemia yang berhubungan dengan kejadian perdarahan postpartum primer di RSUD Kota Bandung. Penelitian ini menggunakan metode kuantitatif desain penelitian korelasional dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh ibu bersalin yang mengalami perdarahan postpartum primer di RSUD Kota Bandung dengan jumlah sampel sebanyak 28 kasus dengan menggunakan teknik Accidental Sampling. Alat pengumpulan data menggunakan kuesioner dan data rekam medik. Dalam penelitian ini analisa univariat menggunakan tabel distribusi frekuensi dan analisa bivariat menggunakan Chi-Square. Hasil penelitian dengan uji Chi -Square didapatkan beberapa faktor yang berhubungan dengan perdarahan postpartum primer diantaranya umur, paritas, dan anemia dengan nilai p value < 0.05, dan terdapat dua faktor yang tidak berhubungan dengan perdarahan postpartum primer yaitu pendidikan dan jarak kelahiran dengan nilai p value > 0.05. Dengan demikian dapat disimpulkan bahwa tidak seluruh hipotesis dapat diterima. Hasil penelitian ini hendaknya memberikan informasi kepada tenaga kesehatan, dan juga masyarakat mengenai pemberian konseling tentang persiapan menghadapi persalinan, serta pentingnya pemeriksaan kehamilan, pencegahan perdarahan postpartum, dan juga makanan yang bergizi pada saat kehamilan.

Kata kunci: Faktor-faktor Perdarahan Postpartum Primer , Rumah Sakit.

Abstract

Postpartum hemorrhage is an important cause of maternal death in developing countries, one of which is Indonesia. The results of previous studies obtained data that is 67% of maternal deaths caused by primary postpartum hemorrhage. This research discusses predisposing factors, that are age, education, birth spacing, parity and anemia associated with the incidence of primary postpartum hemorrhage in RSUD Kota Bandung. This research uses a quantitative method of correlation with design a cross sectional approach. This research uses a quantitative method of correlation with design a cross sectional approach. This research uses a quantitative method of correlation with design a cross sectional approach. The population in this research was maternity women who experienced primary postpartum hemorrhage in RSUD Kota Bandung with a total sample of 28 cases using the Accidental Sampling technique. Tools data collection using questionnaires and medical record. In this research univariate analysis uses frequency distribution tables and bivariate analysis uses Chi-Square. The results of the Chi-Square test found some factors related with primary postpartum hemorrhage that are age, parity, and anemia with p value <0.05, and two factors not related to primary postpartum hemorrhage that are education and birth spacing with p value > 0.05. It can be concluded that not all hypotheses can be accepted. The results of this research should provide information to health workers, and also the public about providing counseling about childbirth preparation, and the importance of antenatal care, prevention of postpartum hemorrhage, and also nutritious food during pregnancy.

References

Asih, N. G., & Effendy, C. (2014). Keperawatan Medical Bedah. Jakarta: Buku Kedokteran EGC.

Berndtsson, M., Hansson, J., Olsson, B., & Lundell, B. (2008). Thesis Projects : A Guide for Students in Computer Science and Information Systems 2nd Edition. London: Springer.

Bourquin, J., Schmidli, H., Hoogevest, P. v., & Leuenberger, H. (2018). Advantages of Artificial Neural Networks (ANNs) as alternative modelling technique for data sets showing non-linear relationships using data from a galenical study on a solid dosage form. European Journal of Pharmaceutical Sciences, 5-16.

Dawson, C. W. (2009). Projects in Computing and Information Systems : A Student's Guide 2nd Edition. London: Pearson Education Limited.

Desuky, A. S., & El Bakrawy , L. M. (2016). Improved prediction of post-operative life expectancy after Thoracic Surgery. Advance in System Science Application, 70-80.

Ferguson, M. K. (2007). Thoracic Surgery Atlas. Elsevier.

Global Health Data Exchange. (2014). Indonesia Sample Registration System - Deaths. Washington: GHDx.

Hachesu, P. R., Moftian, N., Dehghani, M., & Soltani, T. S. (2017). Analyzing a Lung Cancer Patient Dataset with the Focus on Predicting Survival Rate One Year after Thoracic Surgery. Asian Pacific Journal of Cancer Prevention, 1531-1536.

Huang, Q., Chen, Y., Liu, L., Tao, D., & Li, X. (2019). On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification. IEEE Transactions on Knowledge and Data Engineering, 1.

Hui, B., Zhou, H., Jiang, Y., Ji, L., & Chen, J. (2017). The Research of Postoperative Life Expectancy of Lung Cancer Based on Semi Naive Bayesian. Computer Science and Artificial Intelligence(CSAI), 17-19.

Kementerian Kesehatan Republik Indonesia. (2014). InfoDATIN Kanker. Jakarta: Pusat Data dan Informasi Kementerian Kesehatan Republik Indonesia.

Koklu, M., Kahramanli, H., & Allahverdi, N. (2015). APPLICATIONS OF RULE BASED CLASSIFICATION TECHNIQUES FOR THORACIC SURGERY. Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society Management, Knowledge and Learning Joint International Conference (pp. 1991-1998). Bari: Technology, Innovation and Industrial Management.

Prasetio, R. T., & Pratiwi, P. (2015). PENERAPAN TEKNIK BAGGING PADA ALGORITMA KLASIFIKASI UNTUK MENGATASI KETIDAKSEIMBANGAN KELAS DATASET MEDIS. Jurnal Informatika, 2(2).

Prasetio, R. T., & Riana, D. (2015, November). A comparison of classification methods in vertebral column disorder with the application of genetic algorithm and bagging. In 2015 4th international conference on instrumentation, communications, information technology, and biomedical engineering (ICICI-BME) (pp. 163-168). IEEE.

Prasetio, R. T., & Ripandi, E. (2019). Optimasi Klasifikasi Jenis Hutan Menggunakan Deep Learning Berbasis Optimize Selection. Jurnal Informatika, 6(1), 100-106.

Prasetio, R. T., Rismayadi, A. A., & Anshori, I. F. (2018). Implementasi Algoritma Genetika pada k-nearest neighbours untuk Klasifikasi Kerusakan Tulang Belakang. Jurnal Informatika, 5(2), 186-194.

Riana, D., Ramdhani, Y., Rizki, T. P., & Hidayanto, A. N. (2018). Improving Hierarchical Decision Approach for Single Image Classification of Pap Smear. International Journal of Electrical and Computer Engineering, 8(6), 5415.

Sharma, A., & Chopra, A. (2013). Artificial Neural Networks: Applications In Management. IOSR Journal of Business and Management (IOSR-JBM), 32-40.

Sharma, A., & Dey, S. (2013). A boosted SVM based sentiment analysis approach for online opinionated text. Proceedings of the 2013 Research in Adaptive and Convergent Systems (pp. 28-34). Montreal: ACM.

Shields, T. W., Reed, C. E., LoCicero, J., & Feins, R. H. (2009). General Thoracic Surgery. Philadelphia: Wolters Kluwer Business.

Zieba, M., Tomczak, J. M., Lubicz, M., & Swiatek, J. (2013). Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Applied Soft Computing, 99-108.

Zieba, M., Tomczak, J. M., Lubicz, M., & Swiatek, J. (2014). Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Applied Soft Computing, 99-108.

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Published

2019-10-01

How to Cite

Faktor-Faktor Yang Berhubungan Dengan Perdarahan Postpartum Primer : (Studi Kasus : RSUD Kota Bandung). (2019). Jurnal Keperawatan BSI, 7(2). http://ejurnal.ars.ac.id/index.php/keperawatan/article/view/102

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