Journal of Multidisciplinary Applied Natural Science
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4.8
Calculated on 05 May, 2025
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4.8
Calculated on 05 May, 2025
0.31
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https://doi.org/10.47352/jmans.2774-3047.329
Tiani Wahyu Utami
Nur Chamidah
Toha Saifudin
Budi Lestari
Norma Latif Fitriyani
Dengue hematrocit fever (DHF) is a health problem in Indonesia, which tends to cause an increase in the number of sufferers and is becoming more widespread. Semarang City is an endemic region in Indonesia. Platelet and hematocrit modeling are required to diagnose DHF. The independent variables in this model were hemoglobin (Hb) level and examination time, whereas platelets and hematocrit were the dependent variables. This study used secondary data obtained from the Roemani Hospital in Semarang, Indonesia. The study included 13 patients who met the criteria for Grade 2 DHF, and their blood samples were collected once daily for 6 days during their hospitalization to form longitudinal data. This study aimed to model hematocrit and platelet counts using semiparametric bi-response regression with local polynomial estimators. The GCV method was used to select the optimal combination of bandwidth and polynomial order. The results obtained for platelets were a polynomial order of 2 and a bandwidth of 0.1, while hematocrit was selected with a polynomial order of 1 and a bandwidth of 0.8. Platelet and hematocrit modeling using the semiparametric bi-response regression applied to the in-sample data resulted in a coefficient of determination (R²) of 90.12%. The model results can be used to predict platelets and hematocrit with high accuracy, yielding an MAPE of 4.84%. Based on the analysis results, the increase in Hb and hematocrit has a unidirectional relationship (both increase) and is in the opposite direction to the number of platelets, which usually decreases (thrombocytopenia). Platelet dynamics in patients with Grade 2 DHF who were hospitalized for 6 days showed that on the 3rd or 4th day, the patient experienced thrombocytopenia and an increase in hematocrit above normal, which is a sign of plasma leakage; therefore, it is necessary to be aware that this patient's condition requires more intensive care to stabilize platelets and hematocrit.
[1] N. Hidayah, I. Iskandar, and Z. Abidin. (2017). "Prevention of dengue hemorrhagic fever (DHF) associated with the Aedes aegypti larvae presence based on the type of water source". Journal of Tropical Life Science. 7 (2): 115-120. 10.11594/jtls.07.02.05.
DOI: https://doi.org/10.11594/jtls.07.02.05[2] I. N. Faridah, H. Dania, Y. H. Chen, W. Supadmi, B. D. Purwanto, M. J. Heriyanto, M. A. Aufa, W. C. Chang, and D. A. Perwitasari. (2022). "Dynamic changes of platelet and factors related dengue haemorrhagic fever: A retrospective study in Indonesian". Diagnostics. 12 (4): 1-12. 10.3390/diagnostics12040950.
DOI: https://doi.org/10.3390/diagnostics12040950[3] M. A. Hartini and E. T. Pawenang. (2023). "The distribution of dengue fever case based on environmental factors using spatial analysis". Jurnal Presipitasi: Media Komunikasi dan Pengembangan Teknik Lingkungan. 20 (2): 345-355. 10.14710/presipitasi.v20i2.345-355.
DOI: https://doi.org/10.14710/presipitasi.v20i2.345-355[4] C. Hermania and W. Cahyati. (2023). "Kejadian DBD di Kota Semarang tahun 2019-2021". Journal of Public Health Research and Development. 376-385. 10.15294/higeia.v7i3.65192.
DOI: https://doi.org/10.15294/higeia.v7i3.65192[5] F. A. Ciptono, D. S. Lintang, Y. Sri, and Martini. (2021). "Gambaran demam berdarah dengue Kota Semarang tahun 2014-2019". Jurnal Ilmiah Mahasiswa. 2 (4): 1147-1152.
[6] H. Hariyanto, D. Sutiningsih, and M. Sakundarno. (2024). "Determinants of the incidences of dengue hemorrhagic fever in 2019-2021". Indonesian Journal of Global Health Research. 2 (4): 2325-2332. 10.37287/ijghr.v2i4.250.
DOI: https://doi.org/10.37287/ijghr.v2i4.250[7] S. Das, C. Abreu, M. Harris, J. Shrader, and S. Sarvepalli. (2022). "Severe thrombocytopenia associated with dengue fever: An evidence-based approach to management of thrombocytopenia". Journal of Tropical Medicine. 1-7. 10.1155/2022/3358325.
DOI: https://doi.org/10.1155/2022/3358325[8] A. A. Jacob, E. Joseph, and U. Poothiode. (2022). "Significance of platelet indices in dengue fever patients". International Journal of Medical Science in Clinical Research and Review. 5 (5): 531-539. 10.5281/zenodo.7085729.
[9] S. Wulandari and F. Zulaikha. (2021). "Hubungan laboratorium kadar trombosit dan status gizi sebagai faktor risiko DHF pada pasien anak di Puskesmas Mangkurawang Tenggarong". Borneo Student Research. 2 (3): 1752-1758.
[10] M. Y. Sifriyani, Diu, Z. Mar'ah, D. Anggraini, and S. Jalaluddin. (2023). "Modeling of dengue hemorrhagic fever cases in AWS Hospital Samarinda using bi-responses nonparametric regression with estimator spline truncated". Communications in Mathematical Biology and Neuroscience. 1-12. 10.28919/cmbn/7888.
DOI: https://doi.org/10.28919/cmbn/7888[11] N. Made, D. Handayani, D. Putu, C. Udiyani, N. Putu, and A. Mahayani. (2022). "Hubungan kadar trombosit, hematokrit, dan hemoglobin dengan derajat demam berdarah dengue pada pasien anak rawat inap di BRSU Tabanan". Aesculapius Medical Journal. 2 (2): 130-136.
[12] A. D. Ratulangi, H. Djohan, and L. Kamilla. (2025). "The relationship between NS1 examination and the examination of hemoglobin, hematocrit, leukocytes, platelets, and erythrocytes in dengue fever patients in the pediatric ward". International Medical Scientific Journal. 7 (1): 32-39. 10.53770/medica.v7i1.486.
DOI: https://doi.org/10.53770/medica.v7i1.486[13] D. D. Tirtadevi, S. N. Riyanti, and R. Wisudanti. (2021). "Korelasi jumlah trombosit dan kadar hematokrit terhadap tingkat keparahan pasien demam berdarah dengue di RSD dr. Soebandi Jember". Journal of Agromedicine and Medical Sciences. 7 (3): 156-151. 10.19184/ams.v7i3.24362.
DOI: https://doi.org/10.19184/ams.v7i3.24362[14] T. W. Utami, N. Chamidah, T. Saifudin, B. Lestari, and D. Aydin. (2025). "Estimation of biresponse semiparametric regression model for longitudinal data using local polynomial kernel estimator". Symmetry. 17 (3): 1-22. 10.3390/sym17030392.
DOI: https://doi.org/10.3390/sym17030392[15] H. Husain, P. I. Rahayu, M. R. Nisardi, M. A. Al-Fadhilah, and A. Husain. (2025). "Semiparametric biresponse regression modeling mixed spline truncated, Fourier series, and kernel in predicting rainfall and sunshine". Statistics, Optimization and Information Computing. 14 (1): 62-76. 10.19139/soic-2310-5070-2166.
DOI: https://doi.org/10.19139/soic-2310-5070-2166[16] A. F. Salsabila, Juniastuti, D. Husada, and D. Puspitasari. (2024). "Hematology profiles and disease severity of pediatric dengue virus infection at a tertiary hospital in Surabaya, Indonesia". Majalah Biomorfologi. 34 (1): 1-9. 10.20473/mbiom.v34i1.2024.1-9.
DOI: https://doi.org/10.20473/mbiom.v34i1.2024.1-9[17] Kuzairi, Miswanto, and M. F. F. Mardianto. (2021). "Semiparametric regression based on Fourier series for longitudinal data with weighted least square optimization". Journal of Physics: Conference Series. 1836 (1). 10.1088/1742-6596/1836/1/012038.
DOI: https://doi.org/10.1088/1742-6596/1836/1/012038[18] T. W. Utami, N. Chamidah, and T. Saifudin. (2024). "Platelet modeling in DHF patients using local polynomial semiparametric regression on longitudinal data". AIP Conference Proceedings. 3302 (1): 1-10. 10.1063/5.0262183.
DOI: https://doi.org/10.1063/5.0262183[19] N. Chamidah and B. Lestari. (2019). "Estimation of covariance matrix using multi-response local polynomial estimator for designing children growth charts: A theoretical discussion". Journal of Physics: Conference Series. 1397 (1). 10.1088/1742-6596/1397/1/012072.
DOI: https://doi.org/10.1088/1742-6596/1397/1/012072[20] W. Ramadan, N. Chamidah, B. Zaman, L. Muniroh, and B. Lestari. (2019). "Standard growth chart of weight for height to determine wasting nutritional status in East Java based on semiparametric least square spline estimator". IOP Conference Series: Materials Science and Engineering. 546 (5). 10.1088/1757-899X/546/5/052063.
DOI: https://doi.org/10.1088/1757-899X/546/5/052063[21] F. Jiang, Y. Ma, and R. J. Carroll. (2023). "A spline-assisted semiparametric approach to nonparametric measurement error models". Econometrics and Statistics. 10.1016/j.ecosta.2023.05.001.
DOI: https://doi.org/10.1016/j.ecosta.2023.05.001[22] Kosmaryati and M. D. Kartikasari. (2020). "Analysis of penalized semiparametric regression model on bi-response longitudinal data". Advances in Social Science, Education and Humanities Research. 474 : 172-178. 10.2991/assehr.k.201010.025.
DOI: https://doi.org/10.2991/assehr.k.201010.025[23] M. Setyawati, N. Chamidah, and A. Kurniawan. (2021). "Modelling scholastic aptitude test of State Islamic Colleges in Indonesia using least square spline estimator in longitudinal semiparametric regression". Journal of Physics: Conference Series. 1764 (1). 10.1088/1742-6596/1764/1/012077.
DOI: https://doi.org/10.1088/1742-6596/1764/1/012077[24] C. H. Tampubolon, E. Manalu, and T. P. Dewi. (2019). "Relationship between increased hematocrit levels and lowest platelet counts with outcomes of dengue fever patients in children". Indonesian Journal of Global Health Research. 2 (4): 993-1000.
[25] A. H. Welsh and T. W. Yee. (2006). "Local regression for vector responses". Journal of Statistical Planning and Inference. 136 (9): 3007-3031. 10.1016/j.jspi.2004.01.024.
DOI: https://doi.org/10.1016/j.jspi.2004.01.024[26] S. Side, W. Sanusi, and M. W. Maksum. (2020). "Model regresi semiparametrik spline untuk data longitudinal pada kasus demam berdarah dengue di Kota Makassar". Journal of Mathematics, Computations and Statistics. 3 (1): 20. 10.35580/jmathcos.v3i1.19181.
DOI: https://doi.org/10.35580/jmathcos.v3i1.19181[27] S. Efendi, N. Sriyanah, H. R. Buntu, I. Syam, S. Suarni, and D. Djunaedi. (2022). "The grade of dengue hemorrhagic fever in children". Indonesian Journal of Global Health Research. 4 (2): 411-418.
[28] H. Wu and J. T. Zhang.(2006)." Nonparametric regression methods for longitudinal data analysis. 10.5860/CHOICE.44-0978.
DOI: https://doi.org/10.5860/CHOICE.44-0978[29] E. Vivas, H. Allende-Cid, and R. Salas. (2020). "A systematic review of statistical and machine learning methods for electrical power forecasting with reported MAPE score". Entropy. 22 (12): 1-24. 10.3390/e22121412.
DOI: https://doi.org/10.3390/e22121412[30] L. R. Cheruiyot, G. O. Orwa, and O. R. Otieno. (2020). "Kernel function and nonparametric regression estimation: Which function is appropriate?". African Journal of Mathematics and Statistics Studies. 3 (1): 51-59.
[31] M. Zhang, W. Li, L. Zhang, H. Jin, Y. Mu, and L. Wang. (2023). "A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization". Information Sciences. 639. 10.1016/j.ins.2023.02.055.
DOI: https://doi.org/10.1016/j.ins.2023.02.055[32] D. Sahassananda, V. Thanachartwet, P. Chonsawat, B. Wongphan, S. Chamnanchanunt, M. Surabotsophon, and V. Desakorn. (2021). "Evaluation of hematocrit in adults with dengue by a laboratory information system". Journal of Tropical Medicine. 1-9. 10.1155/2021/8852031.
DOI: https://doi.org/10.1155/2021/8852031[33] M. Raadsen, J. du Toit, T. Langerak, B. van Bussel, E. van Gorp, and M. Goeijenbier. (2021). "Thrombocytopenia in virus infections". Journal of Clinical Medicine. 10 (4): 1-33. 10.3390/jcm10040877.
DOI: https://doi.org/10.3390/jcm10040877