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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Edumatsains AKSIOMA Jurnal Kesehatan Tambusai
Ramya Rachmawati
Universitas Bengkulu
Agriculture, Biological Sciences & Forestry Chemistry Dentistry Education Health Professions Mathematics Medicine & Pharmacology Nursing Physics Public Health

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Journal : JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI

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Pendekatan Pemrograman Linier untuk Menyelesaikan Masalah Farm Planning Ramya rachmawati; Siska Yosmar
Jurnal Matematika, Statistika dan Komputasi Vol. 15 No. 1 (2018): July 2018
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.593 KB) | DOI: 10.20956/jmsk.v15i1.4422

Abstract

Pemrograman Linier merupakan pendekatan yang efektif untuk menyelesaikan masalah optimasi pengalokasian sumber daya yang terbatas. Dari berbagai literatur, dapat diketahui bahwa pendekatan ini telah sukses diterapkan di berbagai bidang, termasuk bidang pertanian dan peternakan. Penelitian ini mengembangkan sebuah model Pemrograman Linier tentang bagaimana seorang manajer yang bergerak di bidang pertanian/peternakan dapat mengelola lahan dan komoditas ternak sapi yang tersedia sehingga menghasilkan keuntungan yang maksimum selama periode waktu perencanaan. Simulasi model dalam penelitian ini dilakukan dengan menggunakan bahasa pemrograman Python 2.7 dan PuLP modeller.
Survival Analysis of Covid-19 Patients Based on Time of Recovery Rina Widyasari; Muhammad Chairul Imam; Ramya Rachmawati; Rina Filia Sari
Jurnal Matematika, Statistika dan Komputasi Vol. 18 No. 3 (2022): MAY, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v18i3.18338

Abstract

Corona virus is a virus that can cause the respiratory tract to become infected, and this viral infection is called COVID-19. This virus spreads so fast that it has spread to several countries, including Indonesia. In Indonesia, COVID-19 was detected in early March, precisely on March 2, 2020. The uncertain increase in the number of COVID-19 patients will have an impact on society and the country. This condition is compounded by the high number of deaths due to the COVID-19 virus. Therefore, this study was conducted to analyze survival based on the healing rate of COVID-19 patients, in order to obtain information about the time period and the factors that cause a person with COVID-19 to survive. The method used in the survival analysis is the Kaplan-Meier test as a counter to the estimated recovery time of COVID-19 patients and the Log-Rank test to test for differences in the survival function of the recovery time of COVID-19 patients in the two groups. Kaplan-Meier and Log-Rank tests are part of the non-parametric method which is a statistical test that does not require any assumptions about the distribution of population data. The data used is data on COVID-19 patients at the Malahayati Hospital from January to May 31, 2021. The conclusion obtained is the survival function curve / length of time on the recovery rate of COVID-19 patients based on gender, age, and positive and suspected COVID-19 patients. with and without comorbidities. However, based on the Log-Rank test with = 0.05, it was concluded that there was no significant difference in the length of time for recovery of COVID-19 patients based on gender, age and positive patients and patients with suspected COVID-19 with comorbid and without comorbidities.
Co-Authors Fakhry Asad Agusfrianto Jumeysi Herlina Irawan Muhammad Chairul Imam Rewan Jayadi Rina Filia Sari Rina Widyasari Siska Yosmar Suci Rahmawati