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.
Downloads
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.
Downloads
Published
How to Cite
Issue
Section
License
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
License and Copyright Agreement
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
