Penerapan Handwriting Recognition Pada Pembuatan Game Argon And The Cursed Sword Dengan Metode Decision Tree

Soehadak, Luthfi Firmansyah (2016) Penerapan Handwriting Recognition Pada Pembuatan Game Argon And The Cursed Sword Dengan Metode Decision Tree. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada perkembangan dunia teknologi saat ini, game sudah banyak dikembangkan dalam berbagai platform, antara lain konsol, Personal Computer, dan yang paling marak diantaranya adalah game pada mobile platform.Mobile game memiliki controlling yang relatif lebih sederhana dibandingkan memainkan game pada PC dan konsol. Ada banyak jenis controlling pada mobile game, seperti tap, swipe, dan gesture. Pada perkembangannya, game dengan controlling yang menerapkan handwriting recognition belum begitu banyak dilakukan. Argon and the Cursed Sword merupakan game dengan genre arcade yang menggunakan handwriting recognition sebagai controlling utama pada permainan. Game ini dikembangkan untuk mobile platform dengan sistem operasi Android. Untuk menerapkan handwriting recognition akan digunakan metode Decision Tree. Hasil pengujian dari tugas akhir ini menunjukkan bahwa metode Decision Tree dapat digunakan untuk membuat handwriting recognition dengan cukup baik. Selain itu berdasarkan hasil kuesioner, game yang dikembangkan juga dinilai menarik untuk dimainkan ======================================================================================================= On the development of today's technological world, the game has been developed in a variety of platforms, including consoles, personal computers, and the most popular is the game on the mobile platform.Mobile game has a controlling that relatively simple compared to games on PC and consoles. There are many types of controlling in mobile games, such as tap, swipe and gesture. On development, game that implement handwriting recognition as controlling is not so much. Argon and the Cursed Sword is an arcade game that uses handwriting recognition as the main controlling in the game. The game is developed for mobile platforms with Android operating system. To implement handwriting recognition the methods that will be used is Decision Tree. The test results of this final project show that Decision Tree method can be used to make handwriting recognition quite well. In addition based on the results of questionnaires, a game developed is also considered feasible to play

Item Type: Thesis (Undergraduate)
Additional Information: RSIf 006.425 Soe p
Uncontrolled Keywords: Handwriting Recognition, Mobile Game, Android, Metode Decision Tree.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882.P3 Pattern recognition systems
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 13 Apr 2020 01:27
Last Modified: 13 Apr 2020 01:27
URI: https://repository.its.ac.id/id/eprint/75739

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