JAIS (Journal of Applied Intelligent System)
Vol. 9 No. 1 (2024): Journal of Applied Intelligent System

Completing Sudoku Games Using the Depth First Search Algorithm

Alfany, Fauzan Maulana (Unknown)
Sari, Christy Atika (Unknown)
Jatmoko, Cahaya (Unknown)
Laksana, Deddy Award Widya (Unknown)
Irawan, Candra (Unknown)
Huda, Solichul (Unknown)



Article Info

Publish Date
21 Apr 2025

Abstract

Sudoku is a digital game that is included in the type of logic-based puzzle game where the goal is to fill in the puzzle with random numbers. Therefore, in this research it is proposed to use Artificial Intelligence which contains the Depth First Search Algorithm to track the number of possible solutions that lead to only one so that it becomes efficient. This game has different levels of difficulty such as easy, medium and difficult. The time and complexity of execution will vary depending on the difficulty so it is proposed to use Android Studio software. The experimental results prove that there is an increase in playing the Sudoku game quickly and accurately by applying the Depth First Search Algorithm method. This is proven by the ability to complete this game using the Depth First Search Algorithm using the Android Studio programming language. The average time at the easy level is 11:04 minutes, at the normal level is 10:52 minutes, at the hard level is 25:46 minutes, and at the extreme level is 38 minutes.

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Journal Info

Abbrev

JAIS

Publisher

Subject

Description

Journal of Applied Intelligent System (JAIS) is published by LPPM Universitas Dian Nuswantoro Semarang in collaboration with CORIS and IndoCEISS, that focuses on research in Intelligent System. Topics of interest include, but are not limited to: Biometric, image processing, computer vision, ...