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Hand Gesture-Based Human-Computer Interaction using MediaPipe and OpenCV Putri, Risma Dwi Tjutarjo; Lasmadi, Lasmadi; Kusumaningrum, Anggraini; Nurdin, Riani; Astuti, Yenni
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3132

Abstract

This study presents the design and implementation of a real-time hand gesture recognition system for directional movement using MediaPipe and OpenCV. The system aims to enhance Human-Computer Interaction (HCI) by recognizing four primary hand gestures—forward, backward, left, and right—based on real-time video input from a standard webcam. The proposed method extracts 21 hand landmarks using MediaPipe, then analyzes landmark displacement to determine the direction of movement. Experiments were conducted under three lighting conditions (bright, moderate, dim) and at three distances (200 cm, 300 cm, and 450 cm). Results show that the system achieved 100% recognition accuracy for all gestures at 200 cm. At 300 cm, accuracy slightly decreased, particularly for backward gestures (down to 77.5%). At 450 cm, performance dropped significantly, with accuracy for some gestures falling below 30%, especially under dim lighting. These findings demonstrate that the proposed system performs reliably at short to medium distances and is sensitive to lighting conditions and user proximity. This research contributes to the development of touchless interfaces for smart environments, presentations, and other interactive applications.
Implementasi Metode Weighted Product Pada Sistem Rekomendasi Tempat Makan di Sekitar Bandara Yogyakarta International Airport (YIA) Berbasis Web Ayuningtyas, Astika; Fakhri Yahya, Muhammad; Kusumaningrum, Anggraini; Sajati, Haruno; Dewi Retnowati, Nurcahyani
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 3 No. 1 (2025): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v3i1.1648

Abstract

Pertumbuhan sektor kuliner di kawasan Bandara Yogyakarta International Airport (YIA) menimbulkan kebutuhan akan sistem informasi yang mampu memfasilitasi pengambilan keputusan pemilihan tempat makan secara efektif. Kompleksitas pemilihan ini dipengaruhi oleh beragam kriteria, antara lain rating (rasa dan layanan), harga, jarak, jam operasional, dan fasilitas yang tersedia. Penelitian ini bertujuan mengembangkan sistem rekomendasi berbasis website dengan menerapkan metode Weighted Product (WP) sebagai pendekatan Sistem Pendukung Keputusan (SPK). Pengumpulan data dilakukan melalui integrasi data sekunder dari Google Maps serta survei primer terhadap 15 rumah makan di sekitar Bandara YIA. Validasi sistem dilakukan menggunakan metode black box, serta evaluasi akurasi dilakukan melalui perbandingan hasil sistem dengan perhitungan manual, yang menghasilkan tingkat akurasi sebesar 83%. Hasil penelitian menunjukkan bahwa penerapan metode WP pada sistem rekomendasi ini mampu memberikan rekomendasi yang relevan dengan preferensi pengguna. Temuan ini diharapkan dapat berkontribusi pada pengembangan aplikasi SPK di bidang pariwisata kuliner serta menjadi acuan pengembangan sistem rekomendasi berbasis multikriteria di lingkungan serupa.