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All Journal Jurnal INOVTEKSeri Elektro Proceeding International Applied Business and Engineering Conference
Eva Kurniawaty
State Polytechnic of Bengkalis
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Pengenalan Pose Tangan Menggunakan Leap Motion Untuk Generator Ucapan Fonem Bahasa Jawa Eva Kurniawaty; Lukman Zaman; Yuliana Melita Pranoto; Muhamad Nasir
INOVTEK - Seri Elektro Vol 2, No 2 (2020): INOVTEK Seri Elektro
Publisher : Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/ise.v2i2.1430

Abstract

Bahasa sebagai alat komunikasi antar manusia dalam masyarakat terbentuk dari fonem-fonem yang berupa bunyi-bunyi. Setiap bahasa mempunyai sistem fonem dan sistem bunyi yang berbeda. Dalam kegiatan sehari-hari masyarakat jawa banyak sekali menggunakan kata-kata yang mirip dalam komunikasi mereka, baik kata tersebut mempunyai arti atau makna yang berbeda ataupun tidak. Perkembangan teknologi saat ini yang semakin pesat, membuat beberapa peneliti menggunakan Leap Motion sebagai perangkat penerjemah. Pada penelitian ini, diusulkan sebuah sistem pengenalan pose tangan dengan menggunakan leap motion controller untuk generator ucapan fonem bahasa jawa. Dengan menggunakan leap motion controller, setiap titik koordinat tulang pada tangan akan terdeteksi, sehingga titik-titik koordinat tersebut dapat dijadikan sebagai fitur masukan. Penggunaan fitur jarak antara palm position dengan distal phalanges yang diukur dengan menggunakan euclidean distance. Fitur tersebut akan digunakan untuk data training dan data testing pada metode klasifikasi k-nearest neighbor. Data training yang digunakan adalah minimal 100 kelas diambil dari 20 aksara jawa dan 5 fonem vokal. Penelitian ini berhasil dengan tingkat rata- rata akurasi sebesar 97% pada fonem aksara jawa.
Hand Gesture Recognition using Leap Motion Controller for Recognition of Javanese Script Muhamad Nasir; Tengku Musri; Eva Kurniawaty
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (701.189 KB)

Abstract

Javanese Script is The cultural heritage of ancient Javanese people used to write in the manufacture of books, manuscripts, song Java, inscriptions, or correspondence. It is important to maintain and preserve this heritage, so that the Indonesian people can understand the cultural values and art writing. The development of technology is currently increasing rapid, making some researchers use Leap Motion as a translator device. In this study, a hand gesture recognition system using a leap motion controller is proposed for the recognition of Javanese Script. By using a leap motion controller, every bone coordinate point on the hand will be detected, so that these coordinate points can be used as input features. The use of the feature of the distance between the palm position and distal phalanges measured using the Euclidean distance. These features will then be classified using the k-nearest neighbor classification method. System testing was carried out using 20 Javanese characters consisting of /ha/, /na/, /ca/, /ra/, /ka/, /da/, /ta/, /sa/, /wa/, /la/ , /pa/, /dha/, /ja/, /ya/, /nya/, /ma/, /ga/, /ba/, /tha/, /nga/. This research was successful with an average accuracy rate of 95% in Javanese script.
Co-Authors Lukman Zaman Muhamad Nasir Tengku Musri Yuliana Melita Pranoto