Abstract

The 2014 shutdown localization of prostitution in Surabaya City, East Java Province, Indonesia, has given rise to an illegal prostitution industry, resulting in the spread of uncontrolled sexually transmitted infections (STIs). Mapping needs to be done to track the spread of the disease. This study used secondary data on STIs in 2020 from the Surabaya City Health Office. By using biplot analysis, this study sought to offer a detailed understanding of the distribution and dynamics of STI cases in different parts of Surabaya. The early-stage syphilis was found in Tegalsari and Krembangan Subdistricts; then, gonorrheal urethritis was found in Tandes, Karang Pilang, and Pabean Cantian Subdistricts. Meanwhile, gonorrhea was typically found in Tandes, Gunung Anyar, Sawahan, and Karang Pilang Subdistricts. On the other hand, Tegalsari, Krembangan, and Pabean Cantian Subdistricts also had cases of advanced syphilis. This study enables relevant parties, specifically the Surabaya City Health Office, to monitor the method's rapid spread and respond to each case according to the predominant type of STI.

References

1. World Health Organization. Sexually transmitted infections (STIs). Geneva: World Health Organization; 2023.

2. Pramana C. Praktis Klinis GINEKOLOGI. Bandung: Media Sains Indonesia; 2021.

3. Centers for Disease Control and Prevention. Gonorrhea – CDC Fact Sheet. Atlanta, GA: Centers for Disease Control and Prevention; 2017.

4. Kementerian Kesehatan Republik Indonesia. Pedoman Tata Laksana Sifilis Untuk Pengendalian Sifilis di Layanan Kesehatan Dasar. Jakarta: Kementerian Kesehatan Republik Indonesia; 2013.

5. Pitasari DA, Martodiharjo S. Studi Retrospektif: Profil Infeksi Gonore. BIKK. 2019; 31 (1): 41-45. DOI: 10.20473/bikk.V31.1.2019.41-45.

6. Badan Pusat Statistik Provinsi Jawa Timur. Jumlah Penduduk Menurut Jenis Kelamin dan Kabupaten/Kota Provinsi Jawa Timur (Jiwa), 2018-2020. Surabaya: Badan Pusat Statistik Provinsi Jawa Timur; 2020.

7. Salman G, Agriesta D. Penderita HIV/AIDS di Jatim Capai 2.526 Orang, Surabaya Tertinggi dengan 323 Kasus. Surabaya: Kompas; 2021.

8. Susilaningrum D, Ulama BSS, Lathifah R. Mapping the Factors Affecting Household Food Security of Tuberculosis Patients in Coastal Region of Surabaya. IOP Conf Ser Mater Sci Eng. 2018; 335: 012053. DOI: 10.1088/1757-899X/335/1/012053.

9. Tinungki GM. The Accuracy Level Of Biplot Analysis Based On The Variance-Covariance Matrix. Am J Eng Res. 2018; 7 (5): 264-271.

10. Bagian Pencegahan dan Pengendalian Penyakit. Laporan Bulanan Penyakit Infeksi Menular Seksual (IMS). Surabaya: Dinas Kesehatan Kota Surabaya; 2020.

11. Venelia H, Nisa K, Wibowo RA, et al. Robust Biplot Analysis of Natural Disasters in Indonesia from 2019 To 2021. asks. 2021; 13 (2): 61-68. DOI: 10.34123/jurnalasks.v13i2.349.

12. Härdle WK, Simar L. Applied Multivariate Statistical Analysis. 5th ed. Berlin: Springer Verlag; 2015. DOI: 10.1007/978-3-662-45171-7.

13. Risni P, Notobroto HB. Pemetaan dan Analisis Tren Penyakit Infeksi Menular Seksual di Kota Surabaya. J Biometrik Kependuduk. 2017; 6 (2): 115–125. DOI: 10.20473/jbk.v6i2.2017.115-125.

Download

Share

COinS