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GLASGOW COMA SCALE (GCS), TEKANAN DARAH DAN KADAR HEMOGLOBIN SEBAGAI PREDIKTOR KEMATIANPADA PASIEN CEDERA KEPALA S Sumarno; Moch. Hidajat; Ika Setyo Rini
Jurnal Ilmiah Kesehatan Keperawatan Vol 12, No 3 (2016): JURNAL ILMIAH KESEHATAN KEPERAWATAN
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH GOMBONG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26753/jikk.v12i3.162

Abstract

The number of incidence and mortality of patients with traumatic brain injury (TBI) is high, so it is called for better service, on the other hand healthcare care facilities, particularly bed of intensive care unit (ICU) limited. So often the hospital should perform a selection against patients. Mortality predictors can be used as tool for selection. The aims of this research is to gain a predictive model of mortality in isolativeTBI patients using a standardized examination in Emergency Department. Design of this study is a observational study with prospective approach. Respondents totaled 49 person byconsecutive sampling.The results of this research show that there is a correlation between all the independence variables with mortality of the patient.GCS (p<0,001, r=0,732), TDS (p=0,005, r=0,420), MAP (p=0,005, r=0,429), Hb (p=0,048, r=0,272). The result of logistic regression showed that GCS is the most dominant factor related to patient mortality is GCS (p=0,002, correlation coefisient = - 0,906). Keywords : Traumatic brain injury, mortality predictor, GCS, components of GCS
Implementation of Metasploit Framework on Android Platform in a Single Network Gemilang, Muhammad Fitra; Fitrani, Arif Senja; Rosid, Mochamad Alfan; S Sumarno
SAGA: Journal of Technology and Information System Vol. 4 No. 1 (2026): February 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v4i1.608

Abstract

This study discusses the implementation of the Metasploit Framework on the Android platform within a single network. The objective of this research is to analyze the vulnerability of Android devices to backdoor attacks using penetration testing tools. The payload in the form of an APK file was created using msfvenom and tested on Android devices within a local network. The results showed successful exploitation, including access to SMS, call logs, and device location. This study highlights the need for security awareness among Android users and the importance of preventive measures.