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Pengaruh Iklan di Media Sosial, Electronic Word of Mouth (e-WOM) dan Inovasi Produk terhadap Kekuatan Perusahaan Putri, Dilla Ghaisani; Ali, Hapzi
Jurnal Greenation Ilmu Teknik Vol. 2 No. 1 (2024): (JGIT) Jurnal Greenation Ilmu Teknik (Februari-April 2024)
Publisher : Greenation Publisher & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jgit.v2i1.226

Abstract

Peneliti mengkaji Pengaruh Iklan di Media Sosial, Electronic Word Of Mouth dan Inovasi Produk terhadap kekuatan Perusahaan sebagai artikel ilmiah pada konteks manajemen strategis. Tujuan artikel ini dibuat untuk menganalisis bagaimana faktor-faktor tersebut mempengaruhi daya saing dan keberlanjutan perusahaan. Objek riset yaitu pustaka online, Google Schoolar, Mendeley media online akademik lainnya. Metode Riset dengan library risearch dengan bersumber dari open access e-journal maupun e-book. Analisis penelitian secara deskriptif kualitatif. Hasil penelitian ini menemukan bahwa 1) Iklan di Media Sosial berpengaruh terhadap Kekuatan Perusahaan; 2) Electronic Word Of Mouth berpengaruh terhadap Kekuatan Perusahaan; dan 3) Inovasi Produk berpengaruh terhadap Kekuatan Perusahaan.
Analysis of the Effectiveness of Security Information and Event Management (SIEM) Detection Against Advanced Threats Putri, Dilla Ghaisani
Greenation International Journal of Engineering Science Vol. 3 No. 3 (2025): (GIJES) Greenation International Journal of Engineering Science (September - No
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v3i3.849

Abstract

Advanced Persistent Threats (APTs) pose a serious challenge to information systems security. APTs employ complex and persistent techniques to achieve their goal of infiltrating an organization’s network. APTs often operate undetected for prolonged periods, which can last months or even years. The combination of intricate techniques and long-term persistence is what makes APTs so difficult to detect and counter. Security Information and Event Management (SIEM) is a type of security solution used for cyber threat detection and response. This research analyzed the effectiveness of SIEM in detecting APTs based on parameters such as detection speed, accuracy, and false positive rate. Simulations of repeated attacks demonstrate that SIEM expands security visibility and enhances the network’s ability to respond to attacks rapidly. However, large log volumes present a challenge to the entire system, and optimal configuration incurs a high cost for such analysis.