Garuda - Garba Rujukan Digital

OPTIMIZING DIGITAL LEARNING IN SCHOOLS THROUGH ARTIFICIAL INTELLIGENCE (AI) Prasetya, Irwan Adhi; Wulandari, Mira; Sujatmiko, Wandi; Hermanto, Hermanto
Digulis: Jurnal Pengabdian Pada Masyarakat Vol 2, No 3 (2024): Edisi September 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/djpkm.v2i3.84969

The advancement of information and communication technology (ICT) has significantly impacted various aspects of life, including education. One of the latest innovations with great potential for the education sector is Artificial Intelligence (AI). AI refers to systems that can mimic human cognitive functions such as learning, thinking, and problem-solving. In the context of digital schools, AI can be implemented through adaptive learning systems that adjust content and teaching methods to meet the needs and abilities of individual students. This community service activity aims to apply AI technology to the learning process in schools. Held on August 14, 2024, at SMA Negeri 8 Pontianak, the activity involves three phases: preparation, implementation before participants, and the core activities, including QA sessions and discussions led by faculty members. The training, attended by 28 students, was conducted by the lecturers. Results show that implementing AI in education enhances the quality of learning in digital school environments by providing a more personalized and adaptive learning experience. The training was successful, focusing on the direct demonstration of AI-based adaptive learning systems. In conclusion, the use of AI in education can improve the effectiveness and personalization of learning and was carried out smoothly and effectively.

The Existence of Mothers Using Social Media in Families in Sincimun Village East Halongonan District Wulandari, Mira; Mirzaya Putra, Ilham
Journal of Social Knowledge Education (JSKE) Vol. 6 No. 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jske.v6i2.1757

Purpose of the study: This study aims to explore the effects of social media usage by housewives in Siancimun Village, Halongonan Timur District, on family harmony. As social media usage increases across various segments of society, this phenomenon has begun to influence family life, particularly among housewives who play a dominant role in household dynamics. Methodology: This research employs a descriptive qualitative approach, utilizing data collection methods such as observation, interviews, and documentation. The data analysis method used in this study includes data reduction, data presentation, and data verification in order to draw conclusions. The validity of qualitative research data was tested using credibility, transferability, dependability, and confirmability techniques. Main Findings: The findings of the study indicate that social media offers various benefits, such as facilitating communication, providing access to information, and serving as a source of inspiration for housewives in Siancimun Village. However, uncontrolled usage may lead to negative consequences, including reduced productivity, family conflicts, and imbalances in household roles. Therefore, awareness and wise time management are essential to ensure that social media is used positively without disrupting family harmony. Novelty/Originality of this study: This study contributes to addressing the research gap concerning the use of social media by housewives in rural areas, specifically in Siancimun Village, Halongonan Timur District. Previous studies have generally discussed the impact of social media on society at large, highlighting both its positive aspects, such as facilitating communication, and its negative aspects, such as fostering dependency.

Penggunaan Blog Sebagai Manfaat Teknologi Untuk Media Promosi UMKM Kota Pontianak Wulandari, Mira; Faqih, Muhammad; Sujatmiko, Wandi; Hermanto, Hermanto; Prasetya , Irwan Adhi
Jurnal Inovasi Global Vol. 4 No. 4 (2026): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v4i4.531

Advances in digital technolgy require Micro, Small, and Medium Enterprise (UMKM) in Pontianak City to adspt to online marketing strategies to remain competitive, particularly in expanding market reach and increasing sales. This study aims to analyze the use of blogsas an effective, effcient, and low-cost digital promotional medium for UMKM. The method used is mentoring and training in blog content creation for UMKM in Pontianak City. The results show that blogs offer advantages in the form of flexibility in presenting in-depth product information, building brand identity, and increasing visiility in search engines (SEO) compared to conventional social media. Through the use of blogs, UMKM can overcome limited promotional budgets while still reaching a wider audience in a professional manner. This mentoring has been proven to help business actors in digitalizing the marketing of Pontianak’s culnary products.

IMPLEMENTASI DEEP LEARNING DALAM SISTEM DETEKSI MANDIRI BERBASIS MOBILE UNTUK LUKA DIABETIK GUNA MENDUKUNG KESEHATAN MASYARAKAT Hermanto, Hermanto; Adhi Prasetya, Irwan; Faqih Dzulqarnain, Muhammad; Wulandari, Mira; Sujatmiko, Wandi; Habibi, Muhammad
Jurnal Keperawatan dan Kesehatan Vol 17 No 1 (2026): Jurnal Riset Keperawatan dan Kesehatan
Publisher : Institut Teknologi dan Kesehatan Muhammadiyah Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54630/jk2.v17i1.586

Diabetic foot ulcers affect 15-25% of diabetic patients globally, causing significant morbidity, healthcare costs, and amputation risks. Early detection is crucial for preventing severe complications, yet limited access to specialized healthcare services, especially in remote areas, creates substantial barriers to timely wound management. This study developed a mobile-based self-detection system using deep learning technology to enable early diabetic wound identification and improve healthcare accessibility for patients in resource-limited settings. A Convolutional Neural Network with MobileNetV2 architecture was trained on over 5,000 diabetic wound images categorized into five classes: healthy skin and Wagner grades 1-4 ulcers. The cross-platform mobile application features AI-based wound detection, diagnosis history tracking, educational content, and integrated telemedicine consultation. Clinical validation compared AI predictions with three certified wound care specialists across 500 cases, while usability testing involved 100 diabetic patients.The model achieved 92.4% accuracy with 94.2% sensitivity and 91.7% specificity. For high-grade ulcers, performance improved to 96.8% sensitivity with 1.8-second processing time per image. Clinical validation showed substantial agreement with specialists (Cohen's kappa = 0.89). The application scored 82.5/100 on System Usability Scale with 88.5% user satisfaction and 91.2% willing to recommend it. This mobile-based deep learning system demonstrates high accuracy and clinical reliability for diabetic wound self-detection, successfully bridging healthcare gaps for underserved populations and showing significant potential for early intervention and healthcare cost reduction.

The Existence of Mothers Using Social Media in Families in Sincimun Village East Halongonan District Wulandari, Mira; Mirzaya Putra, Ilham
Journal of Social Knowledge Education (JSKE) Vol. 6 No. 2 (2025): May
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jske.v6i2.1757

Purpose of the study: This study aims to explore the effects of social media usage by housewives in Siancimun Village, Halongonan Timur District, on family harmony. As social media usage increases across various segments of society, this phenomenon has begun to influence family life, particularly among housewives who play a dominant role in household dynamics. Methodology: This research employs a descriptive qualitative approach, utilizing data collection methods such as observation, interviews, and documentation. The data analysis method used in this study includes data reduction, data presentation, and data verification in order to draw conclusions. The validity of qualitative research data was tested using credibility, transferability, dependability, and confirmability techniques. Main Findings: The findings of the study indicate that social media offers various benefits, such as facilitating communication, providing access to information, and serving as a source of inspiration for housewives in Siancimun Village. However, uncontrolled usage may lead to negative consequences, including reduced productivity, family conflicts, and imbalances in household roles. Therefore, awareness and wise time management are essential to ensure that social media is used positively without disrupting family harmony. Novelty/Originality of this study: This study contributes to addressing the research gap concerning the use of social media by housewives in rural areas, specifically in Siancimun Village, Halongonan Timur District. Previous studies have generally discussed the impact of social media on society at large, highlighting both its positive aspects, such as facilitating communication, and its negative aspects, such as fostering dependency.

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