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Modifikasi Makceting (Makanan Cegah Stunting) sebagai Bentuk Inovasi PMT di Desa Dorolegi Kecamatan Godong Kabupaten Grobogan Wahyu Unggul Widodo; Deart Are Koeanda; Ahmad Yusuf Mufarihin; Eva Wulan Dari; Indah Fitriani; Alif Putra Dirgantara; Nurul Fahrian; Ayu Avitasari; Lutfia Atika Salma; Nova Ayyunda Sholehkhah
Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat Vol. 7 No. 1 (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.iss1.509

Abstract

Stunting is a chronic nutritional problem that impacts physical growth, cognitive development, and the quality of human resources. The high prevalence of stunting in Grobogan Regency requires innovative and sustainable community-based interventions. One preventative measure is through the provision of supplementary feeding (PMT) based on local foods with high animal protein content. This activity aims to increase the knowledge and awareness of mothers of toddlers regarding the importance of animal protein intake through the PMT innovation "MAKCETING (Food to Prevent Stunting)" with the Hidden Egg food product. The method used was education and reflection on PMT making for PKK members in Dorolegi Village, Godong District, Grobogan Regency, which involved 100 participants and was implemented by KKN (Community Services Program) students from An Nuur University Purwodadi. The product was developed from chicken meat, quail eggs, and carrots. The results of the activity showed a positive response, high enthusiasm, and increased understanding of participants regarding the importance of animal protein in preventing stunting.
SMART-GUARD: Self-adaptive Multi-Agent Reinforcement learning Threat Guard dengan Game Theory dan Consensus Mechanisms untuk Enhanced Wireless Access Point Security  Dwi Kurniawan Aprilianto; Ahmad Yusuf Mufarihin; Akhie Najhan Atifa; Eko Supriyadi; Kartika Imam Santoso
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.v5i2.32

Abstract

Kompleksitas serangan cyber terhadap wireless access point semakin meningkat dengan munculnya adversarial AI dan coordinated attack scenarios. Penelitian ini mengembangkan framework SMART-GUARD (Self-adaptive Multi-Agent Reinforcement learning Threat Guard) yang mengintegrasikan multi-agent reinforcement learning (MARL), game theory, dan consensus mechanisms untuk membangun sistem pertahanan adaptif dan kolaboratif. Framework yang diusulkan menggabungkan Deep Q-Networks (DQN) dengan hierarchical multi-agent architecture, Stackelberg game untuk strategic defense planning, Self-Organizing Maps (SOM) untuk threat clustering, dan Byzantine-fault tolerant consensus untuk koordinasi terdistribusi. Evaluasi dilakukan pada testbed yang mensimulasikan 20 access points dengan 500 client devices dan 15 jenis serangan berbeda. Hasil eksperimen menunjukkan SMART-GUARD mencapai defense success rate 97.4%, mean response time 1.2 detik, dan resource utilization efficiency 89.3%. Framework ini mampu beradaptasi dengan 12 jenis zero-day attacks dengan confidence level 92.8% dan menunjukkan scalability yang superior hingga 1000+ access points. Kontribusi utama penelitian ini adalah pengembangan self-adaptive defense ecosystem yang dapat melakukan strategic decision making secara autonomous melalui game-theoretic analysis dan koordinasi multi-agent yang fault-tolerant.