Inferensi logika fuzzy dalam permainan balap mobil = Fuzzy logic inference in a car racing game

Pratama, Hendrik Citra (2018) Inferensi logika fuzzy dalam permainan balap mobil = Fuzzy logic inference in a car racing game. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Pesatnya perkembangan dan pemakaian perangkat teknologi, terutama pada bidang komputer, telah membawa dampak besar terhadap industri game. Game merupakan salah satu media hiburan yang banyak diminati oleh masyarakat luas dari usia muda hingga tua. Selain kualitas grafis, keterlibatan Artificial Intelligence (AI) juga memiliki peranan penting dalam membuat interaksi game lebih menarik bagi pemain. Pada penelitian ini akan diuji implementasi AI berdasarkan logika fuzzy pada sistem pengendalian rem mobil. Perancangan sistem mobil AI memiliki kemampuan untuk bergerak maju, membelokkan stir, menghindari halangan dan mengendalikan rem berdasarkan logika fuzzy. Perancangan AI lebih difokuskan pada sistem pengendali rem mobil dengan logika fuzzy, dimana mobil mampu mengendalikan rem sendiri ketika ada hambatan. Hasil pengujian menunjukkan bahwa AI pada mobil dibuktikan mampu untuk bergerak maju, mengatur arah stir, menghindari halangan, dan mengendalikan rem semua secara otomatis. Berdasarkan data hasil pengujian aturan fuzzy, dimana dari 50 sampel data untuk input jarak dan input kecepatan, Ada 46 hasil output yang sesuai dengan output ideal yang diharapkan dan empat output yang tidak sesuai. Hasil dari pengujian membuktikan bahwa pengimplementasian logika fuzzy pada sistem pengendali rem mobil dapat menghasilkan perhitungan yang ideal dengan tingkat keberhasilan 92%. / The rapid development and usage of technology, especially in computer science, give a huge impact for the gaming industry. Game is one of the media entertainment that people of all ages find interesting. Besides the graphic quality, the involvement of Artificial Intelligence (AI) plays an important role for making the game becomes more interesting for the user. In this research the AI implementation based on fuzzy logic will be tested on the car braking system. The Design system of AI car has the ability to move forward, turn steer, avoid obstacles and control brake. AI implementation will be focused on the used of fuzzy logic inference, especially on the car braking system, where the car is able to control its own brake while there is an obstacle. The result of the evaluation shows that the AI car is able to move forward, turn steer, avoid obstacles and control brake all by itself. Based on the result of fuzzy rule evaluation, which 50 data samples for distance input and velocity input, there is a 46 output result that matches the expected output ideal and four output that does not match. The result of the evaluation proves that the implementation of fuzzy logic on a car braking system is able to produce the ideal calculation with a 92% success rate.

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