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Paniran Paniran
Universitas Mataram
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Implementasi Pengendalian Karakter Game Mobile Legends Berbasis Gesture Tangan Menggunakan MediaPipe Arfando Grasanando; Paniran Paniran
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8240

Abstract

Abstrak - Perkembangan teknologi dalam bidang computer vision dan machine learning telah membuka peluang baru dalam menciptakan metode interaksi manusia-komputer yang inovatif. Penelitian ini bertujuan untuk mengembangkan sistem pengendalian karakter game Mobile Legends menggunakan gesture tangan berbasis MediaPipe dan OpenCV. Dengan memanfaatkan teknologi hand gesture recognition, sistem ini memungkinkan pemain untuk mengontrol pergerakan karakter dan penggunaan skill melalui gerakan tangan, menawarkan cara interaksi yang lebih natural dan intuitif. Metode penelitian yang digunakan adalah pendekatan eksperimen dengan desain kuasi-eksperimental, di mana pengguna diminta melakukan serangkaian gesture di depan kamera. Hasil pengujian menunjukkan bahwa gesture genggam, kanan, dan kiri berhasil terdeteksi dengan tingkat keberhasilan 100%, sedangkan gesture atas dan bawah memiliki tingkat keberhasilan lebih rendah, masing-masing 60% dan 80%. Meskipun respons sistem terhadap perubahan gesture cukup cepat, optimasi algoritma masih diperlukan untuk meningkatkan akurasi, terutama dalam mendeteksi gesture vertikal. Penelitian ini memberikan kontribusi penting dalam pengembangan teknologi kontrol berbasis gesture, khususnya dalam aplikasi game, dan membuka peluang untuk pengembangan lebih lanjut dalam interaksi natural berbasis gesture di masa depan.Kata kunci: Gesture Recognition, MediaPipe, Pengendalian Karakter, Mobile Legend, Interaksi Manusia Komputer.Abstract  - The advancement of technology in the fields of computer vision and machine learning has opened new opportunities for creating innovative human-computer interaction methods. This study aims to develop a character control system for the game Mobile Legends using hand gesture recognition based on MediaPipe and OpenCV. By utilizing hand gesture recognition technology, this system enables players to control character movements and skill usage through hand gestures, offering a more natural and intuitive interaction method. The research employs an experimental approach with a quasi-experimental design, where users are asked to perform a series of gestures in front of a camera. The testing results indicate that the gestures of fist, right, and left are successfully detected with a success rate of 100%, while the upward and downward gestures have lower success rates of 60% and 80%, respectively. Although the system's response to gesture changes is relatively quick, algorithm optimization is still needed to enhance accuracy, especially in detecting vertical gestures. This research contributes significantly to the development of gesture-based control technology, particularly in gaming applications, and opens avenues for further development in natural gesture-based interaction in the future.Keywords: Gesture Recognition, MediaPipe, Character Control, Mobile Legends, Human-Computer Interaction.
Co-Authors A. Sjamsjiar Rachman A.S Irfan Akbar Abdul Nasir, Abdul Abdul Natsir Abdulah Zainuddin Abdulah Zainuddin Abdullah Zainuddin Abdullah Zainuddin Abdullah Zainuddin Abdurrohman Sudaesi Adriansyah Ekosaputro Agil Maulana Nanda Riady Agung Budi Muljono Agung Budi Muljono Ahmad Humaidi Ahmad Tahmid Akbar, Lalu Muhamad Roviq Akhyar, Lalu Tohirul al rafif, muhammad roid Aprianti, Nurhalisa Arfando Grasanando Ariessaputra, Suthami Asmara, Raranta Budi Darmawan Bulkis Kanata Bulkis Kanata Bulkis Kanata Bulkis Kanata Bulkis Kanata Bulkis Kanata Bulkis Kanata Chotibul Umam Wiranda Cipta Ramadhani Danar Hadi Bachtiar Derajat, Dirga Dama Dion Pratama Putra, Dion Pratama Dira Pratiwi Djulfikri Budiman Dwi Ratnasari Dwi Ratnasari Dwi Ratnasari Dwi Ratnasari Elya Kadariya Farid Fadilah Furniawan, Furniawan Giri Wahyu W Giri Wahyu Wiriasto Hamdiana . Helmy Amalia Ariesta Hidayatullah, Muh. Akmal I Made Ari Nrartha I Made Budi Suksmadana I Made Budi Suksmadana I Made Ginarsa Ida Bagus Fery Citarsa Irwan Irwan Kenya Damayanti Priyatna Kevin Asgaryansyah Kurnia Utami Rinjani Putri L.A.S. Irfan Akbar Lalu Muhamad Irfan M. Fajar Wirayudha Made Sutha Yadnya Majdi, Shafwatul Misbahhuddin, Misbahhuddin Misbahuddin, Misbahuddin Mufidah, Firda Muh Hafizin Muhamad Syamsu Iqbal Muhamad Tohri Murdiansyah Murdiansyah Muvianto, Cahyo Mustiko Okta Nrartha I Made Ari Nurmahsya, Guruh Khedar Rafly Hadi Pangestu Ramdani, M. Riki Saputra, Riki Rosmaliati , Rosmaliati Rosmaliati, Rosmaliati Saputra, Muhammad Arif Fikron SMA Sasongko Suarjaya, I Made Bayu Sudi Mariyato Al Sasongko Suharyadi, Farhan Ahmad Suksmadana, I Made Budi Sultan Sultan Sultan Sultan Supriyatna Supriyatna Syafaruddin Ch Syafarudin Syafarudin Syafarudin Syafarudin Teti Zubaidah Teti Zubaidah Teti Zubaidah Teti Zubaidah Teti Zubaidah Teti Zubaidah Widasari, Ela Zainuddin, Abdullah