Penerapan Analisis Lasso dalam Menentukan Penyebab Utama Faktor Kematian Pasien Komorbid yang Terinfeksi Covid-19
DOI:
https://doi.org/10.30605/proximal.v7i1.3456Keywords:
CoViD-19, LASSO (Least Absolute Shrinkage and Selection Operator), HemoglobinAbstract
Tingkat kematian akibat COVID-19 saat ini sangatlah mengkhawatirkan. Pada pasien dengan komorbid (penyakit pembawa) tingkat kematian semakin tinggi. Tujuan dari penelitian ini adalah untuk mengetahui komorbid apa saja yang berisiko kematian akibat COVID-19 berdasarkan ketepatan datang pengobatan di RSU Haji Kota Medan, dengan menggunakan metode LASSO (Least Absolute Shrinkage and Selection Operator). Keunggulan metode ini adalah mendapatkan hasil koefisien nol atau mendekati nol, yang menyebabkan terseleksinya variabel independen dengan diketahui koefisien dari usia, kadar gula darah, tekanan darah, hemoglobin, kreatinin dan saturasi oksigen. Berdasarkan koefisien hemoglobin memiliki nilai tertinggi dan menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID-19. Hemoglobin dapat mempengaruhi tingkat oksigen di dalam tubuh karena saturasi oksigen adalah presentase hemoglobin yang mengikat oksigen. Jika tekanan hemoglobin turun menyebabkan sesak nafas sampai meyebabkan sesak nafas sampai menyebabkan kematian. Sehingga hemoglobin menjadi variabel independen yang berpengaruh terhadap kematian akibat COVID -19.
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References
Andana, Aulia, Diah dan Agus. 2017. Model Regresi Menggunakan Least Absolute Shrinkage And Selection Operator (Lasso) PadaData Banyaknya Gizi Buruk Kabupaten/Kota Di Jawa Tengah. Jurnal Gaussian: Volume 6 Nomor 1 Halaman 21 – 30.
Banguna, Rita Br dan Aida. 2020. Pemetaan Kemiskinan Melalui Pendekatan Geographically
Weighted Lasso. Jurnal Ekonomi Indonesia: Volume 9 Nomor 3 Halaman 233 – 246.
Chen, Stephan, Khairil dan Septian. 2020. Penerapan Analisis Lasso Dan Group Lasso Dalam Mengidentifikasi Faktor-Faktor Yang Berhubungan Dengan Tuberkulosis Di Jawa Barat. Indonesian Journal of Statistics and Its Applications: Volume 4 Nomor 1 Halaman 39 – 54.
Fadli Rizal. “Alasan Pria Dinilai Lebih Rentan Mengidap Corona”. Halo Doc, 20 April 2020, https://www.halodoc.com/artikel/alasan-pria-dinilai-lebih-rentan-mengidap-corona. Diakses pada 19 April 202
Fanny, Resty, Anik dan Aam. 2018. Pendugaan Produktivitas Penangkapan Bagan Perahu Dengan Regresi Gulud, Lasso Dan Elastic – Net. Jurnal Departemen Statistika Institut Pertanian Bogor: Volume 2 Nomor 2 Halaman 7 - 14.
Gujarati DN. Dasar-Dasar Ekonometrika. Edisi ketiga. Jilid 1. Jakarta: Erlangga; 2006.
Ghozali, I. 2011. Aplikasi Analisis Multivariat dengan Program IBM SPSS19. Semarang: Badan Penerbit Universitas Diponegoro.
Hasan, Iqbal. 2013. Analisis data penelitian dengan statistik. Jakarta: Bumi Aksara.
Hastie, Trevor, Robert dan Jerome. 2008. The Elements of Statistical Learning. California: Springer.
Heriagus, Alfin. “Memahami Saturasi Oksigen Kritis pada Pasien CoViD- 19”. Universitas Indonesia, 16 Juli 2021, https://www.ui.ac.id/memahami-saturasi-oksigen-kritis-pada-pasien-covid-19/. Diakses pada 25 November 2021
Kementerian Kesehatan RI. 2020. Buku Pedoman P2 CoViD-19 Revisi 5. Jakarta: Kementerian Kesehatan RI.
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