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Journal : kinetik game technology information system computer network computing electronics and control

Hopscotch Game to Support Stimulus in Children’s Gross Motor Skill using IoT Jati, Riyan Kuncoro; Suwastika, Novian Anggis; Yasirandi, Rahmat
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 4, November 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v5i4.1090

Abstract

Every movement that has connection to stability and coordination between each body part were accounted as the gross motor skill system. If gross motor skill development were interrupted especially for 3-5 years old, their activities would be negatively affected. Foot-based games such as jumping and stepping can be used to train a child's motor balance. One example of a famous traditional game is hopscotch. Hopscotch is a game that demand high flexibility of foot movement a coordination skills thus proved scientifically can train children gross motor skill system. Various types of hopscotch games have the potential to improve children's dynamic balance. But in traditional hopscotch games it is difficult to see how the mechanism of improving children's dynamic balance is established. The development of a child's dynamic balance cannot be constantly tracked by teachers or parents. Therefore, we design and create hopscotch with an automated system that can overcome these limitations with digital records, data stored safely, system requirements easily duplicated, and more accurate. In the Hopscotch game, there are features, namely levels 1–3, and memory test, where the memory test serves to train children's memory. The hopscotch game using Footstep based capacitive sensor and LED feedback, the improved gameplay used for training and measuring child’s gross motor skill system by their time completion and true/false footstep ratio. As the result the IoT based Hopscotch game with randomized lane are successfully mimic hopscotch gameplay with its added gameplay feature, the player subject performance has increased adaptability performance through each level the capacitive sensor-based footprint system has shown 100% accuracy, the system fully response to the footstep with average 456 milliseconds reading time per step, the system interface can fully control the gameplay level and can show players performance.
Co-Authors -, Hamsarwati Aji Gautama Putrada Andrian Rakhmatsyah Angelina Prima Kurniawati Angga Anjaini Sundawa Angga Juliat Saputra Anita Auliani Annisa Gustien Widowati Annisa Marwa Nursantoso Bayu Erfianto Caecarryo Bagus Dewanata Danu Hasan Dimas Rizki Agusta Dita Oktaria Eko Darwiyanto Erwid M Jadid Erwid Musthofa Jadied Fazmah Arif Yulianto Fikri Ali Gamma Kosala Hamzah Misbachul Adlan Hana Rifdah Sakinah Hanifa Zahra Dhiah Hilal Hudan Nuha Irvan Naufali Rahmanto Isa Mulia Insan Januar Triandy Nur Elsan Jati Hiliamsyah Husen Jati, Riyan Kuncoro Kamal, Eriska La Ode Fajrul Islam Sabti Mahendra Dwifebri Purbolaksono Maman Abdurohman Marnisa Ramdani Mas'ud Adhi Saputra Maslin Masrom Matje, Irman Mohammad Gilang Al Faritsy Muhammad Aditya Tisnadinata Muhammad Al Makky Muhammad Arief Nugroho Muhammad Ihsan Muhammad Nabil Fauzan Muhammad Naufal Hawari Muhtadu Syukur A Nanda Afianti Sale Nisa Eka Nastiti Novian Denny Nugaraha Nuha, Hilal H Nur Fadila Pandu Widiantoro Pandu Widiantoro Parman Sukarno Praditya Wahyu W Qonita, Qori Qori Qonita Qotrunnada Firly Ramadhanty Rafli Rahmanda Mulia Rahmat Sinjai Rahmat Yasirandi Rahmiati Aulia Reza Febrialdy Yuwono Reza Febrialdy Yuwono Rifki Wijaya Rio Guntur Utomo Rosa Reska Riskiana Said Al Faraby3 Sarlin Sayid Rayhan Mulachela Seiba Shonia Sena Amarta Setiawan, Muhammad Ilham Sidik Prabowo Taufik Suyanto Teja Laksana Teti Tiara April Fadhillah Tri Brotoharsono Vera Octavia Wa Ode Inda Lestari Wajdi, Halim Yan Detha Shandy Vandapperen Zidni Fahmi Suryandaru