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All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat ENDLESS : International Journal of Future Studies
Fadlillah, Hadyan Mardhi
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Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Utilizing Machine Learning for Anomaly Detection in Cybersecurity Systems Fahnun, Budi Utami; Susilowati, Eel; Fadlillah, Hadyan Mardhi; Irawaty
ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES Vol. 7 No. 2 (2024): ENDLESS: International Journal of Future Studies
Publisher : Global Writing Academica Researching & Publishing

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Abstract

Anomalies in cybersecurity systems are increasingly complex and sophisticated, making detection difficult using traditional rule-based and signature-based approaches. In facing these challenges, machine learning is crucial to improve real-time anomaly detection capabilities. This study aims to explore the role of machine learning in detecting anomalies in cybersecurity systems. The research method is carried out using a qualitative approach, collecting data from relevant literature and interviews with experts in the fields of cybersecurity and machine learning. The results of this study indicate that machine learning can effectively improve the ability of cybersecurity systems to detect and respond to threats more quickly and accurately. Implementing machine learning allows for deeper analysis of complex cybersecurity data, recognizing unexpected anomalous patterns, and adapting to new attacks. Despite challenges such as data variability and dynamic operational environments, the evaluation of model performance shows significant progress in protecting information systems from increasingly complex threats. The future of anomaly detection in cybersecurity promises the possibility of developing more sophisticated technologies, strengthening defenses against evolving threats, and improving overall security.
Development and Training on Implementation of Marketing Website and Financial Reports for UMKM Dapur Kynan: Development and Training on Implementation of Marketing Website and Financial Reports for UMKM Dapur Kynan Pengembangan dan Pelatihan Implementasi Website Pemasaran dan Laporan Keuangan UMKM Dapur Kynan Fadlillah, Hadyan Mardhi; Prananingrum, Lely; Himawati, Ditya; Lasminiasih; Agustin, Sri Kurniasih
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 3 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i3.22953

Abstract

Dapur Kynan is a potential MSME seen from the variety of products and also the complete legality of its business. However, the business being run is experiencing problems, including the difficulty of penetrating a wider market, due to traditional marketing methods such as placing banners, Whatsapp statuses, and from person to person. These MSMEs also experience problems regarding the preparation of financial reports where the records of business transactions and household finances are not yet separated, the records made are still very simple so it is difficult to evaluate the success of the business. The aim of this community service activity is to solve the problems faced by Dapur Kynan by implementing a website as a marketing tool and also a simple bookkeeping application that is integrated with the system. The method we use has 4 stages, namely, data collection and problem analysis, application creation, training preparation, implementation of empowerment through the implementation of the website. The results of this activity show the successful implementation of the website as it makes the process of promotion, sales, and the making of financial reports become easier and more efficient.
Co-Authors Agustin, Sri Kurniasih Fahnun, Budi Utami Himawati, Ditya Irawaty Lasminiasih Lely Prananingrum Susilowati, Eel