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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF Wacana, Jurnal Sosial dan Humaniora Sinergi PROFIT : Jurnal Administrasi Bisnis Jurnal Fisika Unand Jurnal Optimasi Sistem Industri Jurnal Manajemen Teori dan Terapan Jurnal Al-Qardh Jurnal Ilmiah KOMPUTASI International Journal of Technology And Business JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Ilmiah Pendidikan Profesi Guru Jurnal Review Pendidikan dan Pengajaran (JRPP) JAIM (Jurnal Abdi Masyarakat) Indonesian Journal of Business Intelligence (IJUBI) Jurnal Biogenerasi JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Dialektika Informatika (Detika) Abdi Masya Jurnal Bingkai Ekonomi (JBE) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Brilliance: Research of Artificial Intelligence Makara Journal of Technology Jurnal ICT : Information and Communication Technologies Jurnal Elektro Kontrol (ELKON) Tolis Mengabdi : Jurnal Pengabdian Kepada Masyarakat Journal of Sharia Accounting and Tax (JSAT Justicia Insight ABDIMAS NUSANTARA
Mohammad Iqbal
Universitas Muria Kudus
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Journal : Makara Journal of Technology

 1 
Recognition System of Indonesia Sign Language based on Sensor and Artificial Neural Network Supriyati, Endang; Iqbal, Mohammad
Makara Journal of Technology Vol. 17, No. 1
Publisher : UI Scholars Hub

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Abstract

Sign language as a kind of gestures is one of the most natural ways of communication for most people in deaf community. The aim of the sign language recognition is to provide a translation for sign gestures into meaningful text or speech so that communication between deaf and hearing society can easily be made. In this research, the Indonesian sign language recognition system based on flex sensors and an accelerometer is developed. This recognition system uses a sensory glove to capture data. The sensor data that are processed into feature vector are the 5-fingers bending and the palm acceleration when performing the sign language. The most important part of the recognition system is a feature extraction. In this research, histogram is used as feature extraction. The extracted features are used as data training and data testing for Adaptive Neighborhood based Modified Backpropagation (ANMBP). The system is implemented and tested using a data set of 1000 samples of 50 Indonesia sign, 20 samples for each sign. Among these 500 data were used as the training data, and the remaining 500 data were used as the testing data. The system obtains the recognition rate of 91.60% in offline mode.
Co-Authors Abdul Nasir, Abdul Achmad Latif Ahwan, Dedy Noor Alfidro, Muhammad Reza Alvida Mustika Rukmi Ari Darmawan Ari Irawan Bachtiar Arif, Ahmad Budi Gunawan Deasyana, Lusy Devita, Rahma Dewa, Krisna Kumara Dimas Anton Asfani Dwi Vernanda Dyah, Meiska Endang Supriyati Endang Supriyati Erick Febriyanto Fadlila, Muhammad Irfan Fahrudi, Agung Nugroho Luthfi Imam Fandi Ahmad Fauzan, Yuda Firdaus, Rivaldi Firmansyah, Fatkhiyatur Riza Haryati Haryati Hasanuddin, Iskandar Hendy Hermianto, Kukuh Husain, Ilyas H Idris, Nuramaliah Imam Abdul Rozaq Imam Mukhlash Indarto HS, Abdu Fitrah Irsyada, Rahmat Jazuli, Abdul Wahid Kadafi, Alsa Ahmad Kapi, Florentinus B Kasim, Sri Imelda kharisma Putra, Irfan Kholid Mawardi, Mukhammad Krishananto , Andreas Budi Larasati, Ika Larasati, Ika Latif, Achmad Listiani Listiani Longkop, Sutriani Afrilia Masesa Angga Wijaya Melyani Melyani, Melyani Mohammad Dahlan, Mohammad Mohammad Isa Irawan NINING WAHYUNINGSIH Nita Andriyani Budiman Noor Yulita Dwi Setyaningsih Nur Aini Fauziyah Nur Sholikin Nuralan, Sitti Nurfitria Khoirunnisa Nurul Hidayat Pangestuti, Edriana Putra, Febriandika Qamarani, Syabibah Yusrina Rachma Agusti, Rosalita Rakim, Aditya Achmad Ramdhani, Muhammad Ilham Rasyadan Taufiq Probojati Rina Hastuti Rohman, Fadlur Rohman, Fadlur Rosalita Rachma Agusti Rudi Salam Rukmini, Meme Saeful Anam, Saeful Sanawiri, Brillyanes Solekhan Solekhan Solekhan Solekhan Sri Mulyani Sulistianti, Putri Sumantra Yasa, I Kadek Java Suprihatin Suprihatin Supriyono, Joko Susilawati, Susilawati Tri Listyorini Tutik Khotimah Ulfah, Mariyah Usman Usman Utomo, Bagus Verlandes, Yuliasnita Widagdo, Ridwan Yusri Abdillah Zalfaa, Alyaa zalyus, firda melani