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All Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Diaz Kuncoro
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Computer Science & IT

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Journal : Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi

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Analisa Audit Sistem Informasi Barang Atau Jasa PT. Jaya Karya Menggunakan COBIT 5.0 Diaz Kuncoro; Mairani Mairani; Novi Yunanda Putri
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 3 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.96

Abstract

An audit needs to be carried out so that an information system is able to meet IT Governance requirements. PT. Jaya Karya is a company operating in the field of goods delivery services that has used information systems to support its business processes for the last 4 years. It is time now to carry out an audit of the goods delivery information system This is so that we can find out whether the information system implemented is in accordance with the vision, mission and goals of the organization as well as testing the performance of the information system. In this research, an analysis of the goods delivery information system at PT. Jasa Karya Palembang branch uses the COBIT 5.0 framework with sub domain MEA01 (Monitor, Evaluate, and Assess Performance and Conformance) with process capability level calculations and also analysis of Strength, Weakness, Opportunity and Threats (SWOT), Internal Factor Analysis Summary (IFAS) , as well as External Factor Analysis Summary (EFAS)). Data was obtained through observation techniques, interviews, literature study. Respondents for the data consisted of Branch Heads, Operations Managers and Operational Staff.
Jaringan Syaraf Tiruan Memprediksi Penyakit Gerd menggunakan Metode Backpropagation : Studi Kasus : RSU. Bidadari Kota Binjai Diaz Kuncoro; Akim M.H. Pardede; Siswan Syahputra
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.251

Abstract

The rapid development of technology in the globalization era has significantly impacted various aspects of life, including the healthcare sector. RSU Bidadari Binjai, as a healthcare provider, faces challenges in diagnosing and preventing Gastroesophageal Reflux Disease (GERD), a condition with high prevalence and serious complications such as Barrett’s esophagus and esophageal cancer. Therefore, a predictive system capable of early detection is needed to ensure quicker and more effective medical intervention. This research develops a computer-based predictive system using the backpropagation method in artificial neural networks to assist in diagnosing GERD by processing patient symptom data. The system's test results show an accuracy rate of 100% in predicting GERD complications based on the given symptoms, thus supporting more timely and accurate medical interventions.
Co-Authors Mairani Mairani Novi Yunanda Putri Pardede, Akim Manaor Hara Siswan Syahputra