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All Journal Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat Julia Jurnal
Ani Anggraini
Universitas An Nuur
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences

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AI-BAHSI: Metode Hibrid Artificial Intelligence-Behavioral Analysis dan Hybrid Security Intelligence untuk Deteksi dan Mitigasi Ancaman Real-time pada Wireless Access Point Rheimanda Devin Emmanuel; Ani Anggraini; Agus Condro Wibowo; Kartika Imam Santoso; Eko Supriyadi
Julia: Jurnal Ilmu Komputer An Nuur Vol 5 No 2 (2025): julia.ejournal.unan.ac.id
Publisher : LPPM Universitas An Nuur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35720/julia.v5i2.30

Abstract

Wireless access point (AP) security faces significant challenges with the emergence of sophisticated attacks such as SSID Confusion (CVE-2023-52424), KRACK attacks, and advanced persistent threats. This research develops a hybrid AI-BAHSI (Artificial Intelligence-Behavioral Analysis and Hybrid Security Intelligence) method that integrates deep learning, ensemble machine learning, and federated learning for real-time threat detection and mitigation on wireless access points. The proposed method combines Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) for pattern recognition, Random Forest-Support Vector Machine ensemble for threat classification, and federated learning for privacy-preserving security intelligence. Evaluation was conducted on a synthetic dataset that includes 15,000 normal traffic samples and 8,500 attack samples of various types. The results show that AI-BAHSI achieves a detection accuracy of 98.7%, a precision of 97.3%, a recall of 98.1%, and an F1-score of 97.7% with a false positive rate of only 1.2%. This method successfully detected zero-day attacks with a 94.6% confidence level and was able to automatically mitigate them in an average of 0.8 seconds. The main contribution of this research is the development of an adaptive security framework that can learn from new attack patterns in real time while preserving privacy through a federated learning architecture.
Kreasi Puding Ubi Ungu sebagai Makanan Tambahan Bergizi dalam Upaya Penurunan Stunting di Desa Guci Kecamatan Godong Ummul Sukowati; Novia Julianti; Evi Afriani Putri; Thifaal Baren; Della Ayu Puspitasari; Roisa Nur Wakhidah; Ani Anggraini; Ismawati; Paozan Hadi Putra; Yuwanti
Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026): Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat
Publisher : LPPM Akbid Harapan Ibu Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37402/abdimaship.vol7.iss2.549

Abstract

Background: Stunting is a chronic malnutrition condition that hinders childrens physical growth and cognitive development. Purple sweet potato (Ipomoea batatas L.) has potential as a local food solution as it contains nutriens needed by the body to support growth.  Objective: This activity aims to improve nutritional literacy and practical skills of the community in processing purple sweet potatoes into pudding as an alternative for Supplementary Feeding (PMT). Methods: The program used a participatory approach involving 50 participants, including mothers of toddlers, Posyandu volunteers, village midwives, and PKK members. Results: This activity proved effective as a preventive strategy for stunting and increased community understanding of utilizing the micronutrients in purple sweet potato for nutritional improvement.
Co-Authors Agus Condro Wibowo Della Ayu Puspitasari Eko Supriyadi Evi Afriani Putri Ismawati Kartika Imam Santoso Novia Julianti Paozan Hadi Putra Rheimanda Devin Emmanuel Roisa Nur Wakhidah Thifaal Baren Ummul Sukowati Yuwanti