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Analisis Dinamik Model Matematika pada Terapi Gen untuk Pengobatan Kanker dengan Waktu Tunda Maya Sari Wahyuni; Rahmat Syam; Sulaiman Sulaiman
Seminar Nasional LP2M UNM SEMNAS 2019 : PROSIDING EDISI 7
Publisher : Seminar Nasional LP2M UNM

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Abstract

Abstract. Cancer or commonly also called malignant tumor is one of the deadliest killer of mankind. The types of cancer treatment has been developed by many scientists, one of them is treatment by gene therapy. Using the mathematical equation, Lotka-Volterra equations can be formed a new equation for the interaction between effector cells and cancer cells. In the development and growth of cancer cells undergo several phases that will bring the process delay (τ). So the goal of this paper is to establish a mathematical equation on gene therapy for the treatment of cancer as a result of the delay (time delay), to determine and analyze the stability of the equilibrium point and simulate it. Keywords: effector cells, cancer cells, delay, equilibrium, Lotka-Volterra 
KORELASI LEMAK TUBUH DENGAN KEMAMPUAN LOMPAT JAUH PADA ATLET LOMPAT JAUH FIK UNM Sulaiman Sulaiman; Sarifin G; Hasmyati Hasmyati
Jurnal Ilara : Jurnal Hasil Penelitian, Aplikasi Teori, Analisa, Dan Pembahasan Kepustakaan tentang Keolahragaan Vol 13, No 4 (2022): November
Publisher : Program Studi Ilmu Keolahragaan FIK UNM

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Abstract

Based on the results of the analysis, the results of data processing can be seen that there is an correlation of body fat to the distance of the jump in long jump athletes at the FIK UNM from the regression test data for fat thickness N (sample) of 12 people, mean 5634, T table value 22,861 and sig. ) 0.00 (p <0.05). means that the fat thickness data is normally distributed. Then from the long jump regression test data N (sample) 12 people, Mean 1.7873, T table value 33.367 and sig. (2 tailed) 0.00 (p <0.05). means the long jump data is normally distributed. And it can be seen that there is a correlatiom of body fat with long jump ability in terms of fat thickness in long jump athletes FIK UNM with a difference or difference of 1.2239.