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Title: | Penggunaan Random Forest dalam Analisis Pengukuran Model Kadar Hemoglobin dengan Spektrofotometri |
Other Titles: | The Use of Random Forest in Measurement Analysis of Hemoglobin Level Model by Spectrophotometry |
Authors: | Zuhri, Mahfuddin Irzaman Assilmi, Fadmiar Nibras |
Issue Date: | 2023 |
Publisher: | IPB University |
Abstract: | Kadar hemoglobin merupakan parameter klinis yang penting untuk menilai anemia dalam kondisi kronis dan akut. Pengukuran kadar hemoglobin darah saat ini kebanyakan menggunakan metode invasif yang kurang akurat dan efisien. Proses pengukuran dapat dilakukan secara noninvasif yang dianggap lebih akurat, lebih cepat, dan tidak menyakiti pasien. Penelitian ini bertujuan menguji performa metode Random Forest untuk menganalisis pengukuran kadar hemoglobin darah dengan metode pengujian akurasi dan diagnostik berupa Root Mean Square Error (RMSE), sensitivitas, spesifisitas, diagnosis akurasi, Number Needed to Diagnose (NND). Hasil penelitian ini disimpulkan bahwa kandidat panjang gelombang yang memiliki nilai akurasi paling tinggi yaitu pada rentang panjang gelombang 365 nm dengan nilai RMSE 0,56 dan 385 nm sampai 395 nm dengan nilai RMSE 0,57. Hasil analisis sensitivitas, spesifisitas, diagnosis akurasi, dan number needed to diagnose menunjukkan ketiga kandidat panjang gelombang memiliki nilai yang sama dan memenuhi kriteria untuk masing-masing parameter dengan nilai 100%, 100%, 100%, dan 1 kali pengulangan. Nilai korelasi Pearson juga mencapai angka yang tinggi bernilai 0,97. Hemoglobin level is an important clinical parameter for assessing anemia in chronic and acute conditions. Current measurement of blood hemoglobin levels mostly uses invasive methods that are less accurate and efficient. The measurement process can be carried out non-invasively which is considered more accurate, faster and does not hurt the patient. This study aims to test the performance of the Random Forest method to analyze measurements of blood hemoglobin levels with accuracy and diagnostic testing methods in the form of Root Mean Square Error (RMSE), sensitivity, specificity, diagnosis accuracy, Number Needed to Diagnose (NND). The results of this study concluded that the candidate wavelengths that have the highest accuracy values are in the wavelength range of 365 nm with an RMSE value of 0.56 and 385 nm to 395 with an RMSE value of 0.57. The results of the analysis of sensitivity, specificity, accuracy diagnosis, and number needed for diagnosis show that the three wavelength candidates have the same value and meet the criteria for each parameter with a value of 100%, 100%, 100%, and 1 repetition. The Pearson correlation value also reaches a high value of 0.97. |
URI: | http://repository.ipb.ac.id/handle/123456789/124446 |
Appears in Collections: | UT - Physics |
Files in This Item:
File | Description | Size | Format | |
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Cover, Lembar Pernyataan, Abstrak, Lembar Pengesahan, Prakata dan Daftar Isi.pdf Restricted Access | Cover | 402.71 kB | Adobe PDF | View/Open |
G74180067_Fadmiar Nibras Assilmi.pdf Restricted Access | Fullteks | 1.85 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 319.53 kB | Adobe PDF | View/Open |
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