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All Journal Jurnal Pendidikan Informatika dan Sains Syntax Literate: Jurnal Ilmiah Indonesia Academy of Education Journal Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Keperawatan dan Kesehatan (JKK) Jurnal Pengabdian Harapan Ibu (JPHI) Jurnal Inovasi Global Digulis: Jurnal Pengabdian Pada Masyarakat KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Irwan Adhi Prasetya, Irwan Adhi
Politeknik Aisyiyah Pontianak
Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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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

Abstract

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.
Klasifikasi kualitas buah jeruk menggunakan computer vision dengan arsitektur YOLO V8 Irwan Adhi Prasetya; Fadli Sukandiarsyah; Novi Aryani Fitri; Safri Adam
Jurnal Pendidikan Informatika dan Sains Vol. 13 No. 2 (2024): Jurnal Pendidikan Informatika dan Sains
Publisher : Universitas PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/saintek.v13i2.8346

Abstract

Pengembangan sistem klasifikasi mutu jeruk berbasis kecerdasan buatan yang memanfaatkan fitur tekstur, warna, dan bentuk untuk meningkatkan efisiensi dan akurasi penyortiran jeruk siam Pontianak dari Kabupaten Sambas, Kalimantan Barat. Jeruk siam dikenal sebagai komoditas bernilai tinggi dengan permintaan nasional dan internasional yang besar, tetapi penyortiran manual masih menjadi tantangan bagi petani. Dataset penelitian terdiri dari 500 gambar jeruk dalam tiga kategori mutu antara lain matang, belum matang, dan busuk, yang diambil menggunakan kamera Sony Alpha a5100 beresolusi tinggi dan dianotasi melalui LabelImg. Model YOLOv8 digunakan untuk deteksi dan klasifikasi, mencapai akurasi pada data uji rata-rata sebesar 96,89 % untuk kategori matang, belum matang, dan busuk, dengan nilai mAP@0.5 sebesar 0,993, precision 0.98, recall 0.97, dan F1-score 0.99. Visualisasi hasil deteksi menunjukkan kemampuan model dalam mengidentifikasi area penting pada jeruk berdasarkan tekstur, warna, dan bentuk, serta memberikan hasil klasifikasi yang optimal. Implementasi sistem ini diharapkan dapat membantu petani meningkatkan efisiensi penyortiran jeruk, mengurangi beban kerja, dan memperluas daya saing produk di pasar.
Gamification of West Kalimantan local wisdom through a visual-interactive interface: Development of an inclusive edugame for deaf students Irwan Adhi Prasetya; Novi Aryani Fitri; Muhammad Faqih Dzulqarnain; Muhamad Syafarudin Ilham
Jurnal Pendidikan Informatika dan Sains Vol. 15 No. 1 (2026): Jurnal Pendidikan Informatika dan Sains
Publisher : Universitas PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/saintek.v15i1.10144

Abstract

This study aims to develop an inclusive cooking-themed edugame based on West Kalimantan culture for deaf students through the integration of a visual-interactive interface, a BISINDO avatar, and local cultural content. The development employed the ADDIE model, comprising needs analysis, interface design, and Unity-based prototype creation involving 3D modeling, rigging, and initial integration of BISINDO animation. The edugame was designed to be interactive, multimodal, and readily accessible in accordance with the characteristics of users with special needs. The implementation and validation results indicate that the edugame falls within the highly feasible category, with an acceptance rate of 80.94%. Overall, the edugame received positive user responses regarding readability, interactivity, clarity of instructions, and the appropriateness of its cultural content. This study demonstrates that the integration of gamification, BISINDO, and local wisdom has the potential to serve as an inclusive and adaptive learning strategy for deaf students
IMPLEMENTASI DEEP LEARNING DALAM SISTEM DETEKSI MANDIRI BERBASIS MOBILE UNTUK LUKA DIABETIK GUNA MENDUKUNG KESEHATAN MASYARAKAT Hermanto Hermanto; Irwan Adhi Prasetya; Muhammad Faqih Dzulqarnain; Mira Wulandari; Wandi Sujatmiko; Muhammad Habibi
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

Abstract

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.
Transformasi Sumber Daya Manusia Melalui Teknologi Digital Lintas Disiplin untuk Pemberdayaan Masyarakat Wandi Sujatmiko; Hermanto Hermanto; Irwan Adhi Prasetya; Mira Wulandari; Muhammad Faqih Dzulqarnain; Mutia Ramadani; Jumiati Jumiati
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 6 No. 2 (2026): Jurnal Pengabdian Masyarakat Nusantara
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v6i2.12840

Abstract

This community service activity aims to examine strategies for strengthening human competencies in the face of technological disruption through a national seminar entitled "Human Resource Transformation in the Digital Era: A Cross-Disciplinary Approach for Sustainable Community Empowerment." This seminar featured expert speakers from various universities to provide multidimensional perspectives for participants. The discussion focused on digital technology integration, organizational culture adaptation, and management innovation in an effort to increase community economic resilience. The implementation method was carried out through intensive material presentations and interactive discussions that connected academic theory with practical needs in the field. The results of the activity showed an increase in participants' awareness and understanding of the importance of digital literacy and cross-disciplinary collaboration as the key to inclusive empowerment. Through synergy between academics, the seminar succeeded in formulating strategic recommendations for the development of adaptive, innovative, and globally competitive human resources. It is hoped that the output of this activity can become a catalyst for the creation of sustainable community independence amidst the dynamics of the rapidly evolving digital ecosystem. Recognizing the importance of this issue, a Community Service seminar entitled "Human Resource Transformation in the Digital Era: A Cross-Disciplinary Approach for Sustainable Community Empowerment" was held on March 7, 2026.
Co-Authors Fadli Sukandiarsyah Fadli Sukandiarsyah Faqih Dzulqarnain Faqih Dzulqarnain Fitri, Novi Aryani Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Hermanto Herry Sujaini Ismail Yusuf Iwan Ramadhan Jumiati Jumiati Lulianthy, Eliyana Mira Wulandari Mira Wulandari Mira Wulandari Mira Wulandari Muhamad Syafarudin Ilham Muhammad Faqih Muhammad Faqih Dzulqarnain Muhammad Faqih Dzulqarnain Muhammad Faqih Dzulqarnain Muhammad Habibi Mutia Ramadani Novi Aryani Fitri Novi Safriadi Purwoharjono Purwoharjono Riana, Eka Safri Adam Sujatmiko, Wandi Tursina Tursina Wandi Sujatmiko Wandi Sujatmiko Wandi Sujatmiko Wandi Sujatmiko Wulandari, Mira Yuniantini, Ummy