Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Komatika: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Komunikasi dan Bahasa
Faruq Aziz
Nusamandiri University
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Sosialisasi Artifical Intelligence Menuju Smart Government Untuk Kelompok Pkk Rw 06 Tegal Parang Mampang Riana Dwiza; Subekti Agus; Putra Zico Pratama; Pardede Hilman Ferdinandus; Faruq Aziz
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): November 2023
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v3i2.633

Abstract

The rapid advancement of Artificial Intelligence (AI) technology has significantly impacted industries and government sectors during the fourth industrial revolution. AI offers the potential to simplify and streamline public service delivery, enabling governments to enhance service quality, build public trust, and improve efficiency. In Indonesia, the Women's Empowerment Family Welfare Movement (PKK) plays a crucial role in promoting women's participation in national development. As partners to village and sub-district governments, PKK supports population management and regional development. In line with its commitment to Community Service, Nusa Mandiri University organized the Socialization of Artificial Intelligence Towards Smart Government for PKK RW 06 Tegal Parang Mampang. The main objective of this activity was to inform the management of PKK RW 06 about the benefits and implementation of AI technology in achieving smart government and enhancing PKK's services and activities. The socialization event, attended by 12 participants, was conducted in a hybrid format, combining face-to-face meetings and digital technology. The participants exhibited great enthusiasm in grasping the material and actively engaging in interactive Q&A sessions. As a result of the socialization, participants demonstrated an improved understanding of AI's applications in smart government. To maximize the future impact of community service activities, it is recommended to develop more comprehensive materials, provide continuous training, engage additional partners, and conduct regular evaluations and improvements. By taking these steps, community service initiatives can generate greater benefits for participants and the wider community
YOLO MODEL DETECTION OF STUDENT NEATNESS BASED ON DEEP LEARNING: A SYSTEMTIC LITERATURE REVIEW Andi Saryoko; Faruq Aziz
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6986

Abstract

Maintaining proper student neatness (uniform compliance, grooming standards, and posture) is essential for fostering disciplined learning environments. While traditional monitoring methods are labor-intensive and subjective, computer vision-based solutions leveraging You Only Look Once (YOLO) architectures offer promising alternatives. The objective of this study is to evaluate YOLO optimization techniques for student neatness detection, identify key challenges, and propose relevant future research directions. This systematic review evaluates 28 recent studies (2021-2024) to analyze optimization techniques for YOLO models in student neatness detection applications. Key findings demonstrate that attention-enhanced variants (e.g., YOLOv10-MSAM) achieve 87.0% mAP@0.5, while pruning and quantization methods enable real-time processing (50-130 FPS) on edge devices like Jetson Orin. The analysis reveals three critical challenges: (1) occlusion handling in crowded classrooms (10-15% false negatives), (2) lighting/background variability, and (3) ethical concerns regarding facial recognition. Emerging solutions include hybrid vision-language models for explainable detection and federated learning for privacy preservation. The review proposes a taxonomy of optimization approaches categorizing architectural modifications (attention mechanisms, lightweight backbones), data augmentation strategies (GAN-based synthesis), and deployment techniques (TensorRT acceleration). Future research directions emphasize multi-modal sensor fusion and domain adaptation for cross-institutional generalization. This work provides educators and AI developers with evidence-based guidelines for implementing automated neatness monitoring systems while addressing practical constraints in educational settings.
Pemanfaatan Kecerdasan Buatan untuk Pembuatan Materi Ajar Membaca dan Menulis di RA Al Muttaqin Fatimah Azzahro; Arif Hidayat; Faruq Aziz
Jurnal Abdimas Komunikasi dan Bahasa Vol. 5 No. 1 (2025): Juni
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abdikom.v5i1.8891

Abstract

Kegiatan pelatihan yang bertujuan untuk meningkatkan kompetensi guru PAUD RA Al-Muttaqin dalam memanfaatkan teknologi berbasis kecerdasan buatan (AI) guna mendukung proses pembelajaran anak usia dini. Pelatihan ini berhasil mencapai tujuh manfaat utama, antara lain peningkatan literasi digital, kemampuan membuat media pembelajaran mandiri, pengajaran yang lebih menarik dan interaktif, efisiensi dalam persiapan mengajar, peningkatan rasa percaya diri guru, terjalinnya kerja sama antara kampus dan lembaga pendidikan masyarakat, serta keterlibatan mahasiswa dalam kegiatan sosial. Evaluasi melalui kuesioner menunjukkan bahwa peserta merespons kegiatan ini secara positif, dengan 85% menyatakan puas atau sangat puas terhadap kualitas materi, 100% menyetujui relevansi dan aplikasinya, serta 90% menilai penyampaian materi sebagai bagus atau sangat bagus. Selain itu, kegiatan ini memperoleh eksposur melalui publikasi di media massa nasional, memperluas dampak dan diseminasi praktik pembelajaran inovatif berbasis teknologi. Hasil ini menunjukkan bahwa pelatihan tidak hanya meningkatkan kapasitas individu guru, tetapi juga memperkuat sinergi antara perguruan tinggi dan masyarakat dalam mendorong transformasi pendidikan berbasis digital. This program aimed to enhance the competencies of teachers at PAUD RA Al-Muttaqin in utilizing artificial intelligence (AI)-based technologies to support early childhood education. The program successfully achieved seven key outcomes: increased digital literacy among teachers, the ability to independently create educational media, more engaging and interactive teaching practices, improved efficiency in lesson preparation, greater teacher confidence, strengthened collaboration between the university and community educational institutions, and active student involvement in social engagement activities. Evaluation through post-training questionnaires revealed a highly positive response from participants, 85% expressed satisfaction with the quality of the material, 100% agreed with its relevance and applicability, and 90% rated the delivery of the content as good or excellent. Furthermore, the activity received national media coverage, extending the dissemination of innovative, technology-based educational practices. These results demonstrate that the training not only enhanced individual teacher capacity but also fostered synergy between higher education and the community to promote digital transformation in education
Co-Authors Andi Saryoko Arif Hidayat Fatimah Azzahro Pardede Hilman Ferdinandus Putra Zico Pratama Riana Dwiza Subekti Agus