Search Repository Universitas Fort De Kock

Sekitar 38 juta orang di dunia telah hidup dengan HIV di tubuhnya, sepanjang tahun 2019 telah terjadi 1,7 juta kasus baru HIV dengan infeksi terbanyak pada kelompok gay dan LSL. Di Indonesia tahun 2019, kasus HIV berjumlah 50.282 kasus yang didominasi oleh kelompok LSL. Tujuan penelitian ini untuk mengetahui analisis uji korelasi Pearson, Spearman dan Kendall Tau terhadap kejadian HIV/AIDS di Indonesia. Desain penelitian ini adalah cross-sectional. Populasi pada penelitian ini adalah seluruh kabupaten/kota di Indonesia yang telah meng-input data ke website Sistem Informasi HIV/AIDS (SIHA) tahun 2019. Sampel penelitian ini sebanyak 514 kabupaten/kota. Pengambilan sampel dengan total sampling, analisis data univariat dan bivariat menggunakan uji korelasi Pearson, Spearman dan Kendall Tau. Hasil penelitian menunjukkan bahwa variabel yang paling berpengaruh terhadap kejadian HIV/AIDS adalah Pelanggan PS (p-value =0,0005 Rvalue=0,852), Pasangan Risti (p-value =0,0005 Rvalue=0,792), LSL (p-value =0,0005 Rvalue=0,761), WPS (p-value =0,0005 Rvalue=0,730), Waria (p-value =0,0005 Rvalue=0,711), Sero Discordant (p-value =0,0005 Rvalue=0,676), WBP (p-value =0,0005 Rvalue=0,650), IDU (p-value =0,0005 Rvalue=0,645), PPS (p-value =0,0005 Rvalue=0,573). Jadi, uji yang tepat untuk menganalisa data yang diperoleh adalah uji Korelasi Spearman. Disarankan untuk faktor risiko khususnya Pelanggan PS supaya menghindari perilaku seksual beresiko yang menjadi penyebab penularan virus HIV.

Around 38 million people in the world have lived with HIV in their bodies. Throughout 2019, 1.7 million new HIV cases found with the most infections in gay and MSM groups. In Indonesia in 2019, HIV cases were 50,282 cases. It was dominated by the MSM group. The purpose of this research was to determine the correlation test analysis of Pearson, Spearman and Kendall Tau on the incidence of HIV / AIDS in Indonesia. The research design was cross-sectional. The population was all districts / cities in Indonesia that had inputted data to 2019 HIV / AIDS Information System (SIHA) website. The samples were 514 districts / cities. They had been chosen by total sampling. Then, it was analyzed by univariate and bivariate data by using the Pearson, Spearman and Kendall Tau correlation test. The results showed that the variables that had the most influence on the incidence of HIV / AIDS were SW Customers (p-value = 0.0005 Rvalue = 0.852), High risk Spouses (p-value = 0.0005 Rvalue = 0.792), MSM (p-value = 0.0005 Rvalue = 0.761), FSW (p-value = 0.0005 Rvalue = 0.730), Waria (p-value = 0.0005 Rvalue = 0.711), Sero Discordant (p-value = 0.0005 Rvalue = 0.676) , WBP (p-value = 0.0005 Rvalue = 0.650), IDU (p-value = 0.0005 Rvalue = 0.645), MSW (p-value = 0.0005 Rvalue = 0.573). So, the right test to analyze the data obtained is the Spearman Correlation test. It is recommended that risk factors, especially PS customers, avoid risky sexual behavior which is the cause of transmission of the HIV virus.