PENGEMBANGAN APLIKASI PREDIKSI INSUFISIENSI VITAMIN D BERDASARKAN FAKTOR RISIKO

GHANIA ANTI SHABHA, - (2020) PENGEMBANGAN APLIKASI PREDIKSI INSUFISIENSI VITAMIN D BERDASARKAN FAKTOR RISIKO. Skripsi thesis, Sekolah Tinggi Farmasi Indonesia.

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Abstract

Insufisiensi vitamin D saat ini sudah menjadi salah satu masalah kesehatan utama di seluruh wilayah di dunia. Vitamin D mempunyai banyak manfaat yang berperan dalam metabolisme tubuh kita. Sejauh pengetahuan kami saat ini belum ada skrining insufisiensi vitamin D dalam bentuk aplikasi berbasis web. Tujuan penelitian ini untuk mengembangkan dan memvalidasi aplikasi prediksi insufisiensi vitamin D berbasis web. Pengambilan sampel menggunakan teknik consecutive sampling dengan mengambil 200 data pasien yang mempunyai hasil laboratorium kadar vitamin D 10–29,9 ng/mL (insufisiensi) dan >30ng/mL (sufisiensi/normal). Setelah studi literatur, didapat 12 karakteristik yang merupakan faktor risiko terjadinya insufisiensi vitamin D. Data didapat dengan wawancara menggunakan kuesioner. Analisis data menggunakan regresi logistik dengan kerangka konsep prediktif sehingga didapat taksiran koefisien β, kemudian dibuat skoring. ROC digunakan untuk memvalidasi keakuratan dari pembobotan dan didapat cutoff menggunakan indeks Yuoden. Pembobotan karakteristik diimplementasikan ke dalam aplikasi berbasis web. Pada kurva ROC didapatkan nilai AUC 0,878, menandakan model pembobotan skoring dalam prediksi insufisiensi vitamin D memiliki akurasi yang baik. Skor prediksi insufisiensi vitamin D >11 memiliki sensitifitas 80,0% dan spesifisitas 87,37%. Aplikasi ini dapat digunakan masyarakat luas untuk kesadaran akan kekurangan vitamin D dan bagi tenaga medis khususnya dokter untuk identifikasi kemungkinan pasien mengalami insufisiensi vitamin D atau tidak sehingga dokter dapat selektif dalam pemeriksaan kadar vitamin D serta manajemen selanjutnya. --- Vitamin D insufficiency has become one of the major health problems in the entire world today. Vitamin D has many benefits that play a role in our body’s metabolism. To the best our knowledge vitamin D insufficiency screening in the form of a web-based application has not been found until today. Therefore, the purpose of this research is to develop and validate the web-based vitamin D insufficiency prediction application. The sampling was done by using consecutive sampling technique by taking 200 patients data who had the laboratory results of 10-29,9 ng/mL (insufficiency) and >30ng/mL (sufficiency/normal) vitamin D level. The literature study revealed that there were 12 characteristics which are the risk factor for vitamin D insufficiency occurrence. The data was obtained by using questionnaire interview. Meanwhile the data were analyzed by using logistic regression with a predictive conceptual framework so that the estimate of β coefficient can be found, then scoring. ROC is used to validate the accuracy of the weighting and the cutoff using the Yuoden’s index is obtained. Weighting characteristics implemented into a web-based application. On the ROC curve, AUC was 0,878, this score shows weighting scoring in the prediction of vitamin D insufficiency has good accuracy. The prediction score of vitamin D insufficiency >11 has 80,0% sensitivity and 87,37% specificity. It can be concluded that this application can be used by general public for selfawareness of vitamin D insufficiency and for medical personnel specifically doctors, in order to identify the probability of patient who might experience vitamin D insufficiency so that doctors can be more selective in examining vitamin D levels for further management.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Prediksi insufisiensi, vitamin D, aplikasi berbasis web, regresi logistik, receiver operating characteristic (ROC). --- insufficiency prediction, Vitamin D, web-based application, logistic regression, solvent evaporation, receiver operating characteristic (ROC)
Subjects:	Q Science > Q Science (General) R Medicine > R Medicine (General)
Divisions:	Program Studi S1 Farmasi
Depositing User:	pustakawan - -
Date Deposited:	02 Oct 2024 07:52
Last Modified:	02 Oct 2024 07:52
URI:	http://repository.stfi.ac.id/id/eprint/1295

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