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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Teknologi Informasi dan Ilmu Komputer Annual Research Seminar
Hadipurnawan Satria
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Computer Science & IT Engineering

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Analisa Perbandingan Algoritma A* dan Dynamic Pathfinding Algorithm dengan Dynamic Pathfinding Algorithm untuk NPC pada Car Racing Game Yoppy Sazaki; Hadipurnawan Satria; Anggina Primanita; Muhammad Syahroyni
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 1: Februari 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (600.231 KB) | DOI: 10.25126/jtiik.201851544

Abstract

Permainan mobil balap adalah salah satu permainan simulasi yang membutuhkan Non-Playable Character (NPC) sebagai pilihan lawan bermain ketika pemain ingin bermain sendiri. Dalam permainan mobil balap, NPC membutuhkan pathfinding untuk bisa berjalan di lintasan dan menghindari hambatan untuk mencapai garis finish. Metode pathfinding yang digunakan oleh NPC dalam game ini adalah Dynamic Pathfinding Algorithm (DPA) untuk menghindari hambatan statis dan dinamis di lintasan dan Algoritma A* yang digunakan untuk mencari rute terpendek pada lintasan. Hasil percobaan menunjukkan bahwa NPC yang menggunakan gabungan DPA dan Algoritma A* mendapatkan hasil yang lebih baik dari NPC yang hanya menggunakan Algoritma DPA saja, sedangkan posisi rintangan dan bentuk lintasan memiliki pengaruh yang besar terhadap DPA.
PELATIHAN INSTALASI SERVER UJIAN BERBASIS KOMPUTER PADA SMK NEGERI 1 OGAN KOMERING ULU Rifkie Primartha; M. Ihsan Jambak; Hadipurnawan Satria; Samsuryadi Sahmin
Annual Research Seminar (ARS) Vol 2, No 2 (2016): Special Issue : Penelitian, Pengabdian Masyarakat
Publisher : Annual Research Seminar (ARS)

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Abstract

One of the problems that might occurred when a school is going to hold Computer Based National Test (UNBK) is the inavailability of servers at the time of UNBK dissemination. During the dissemination process, everything is done only through simulation. This can cause problems, notably because the real world implementation could be significantly different than the simulation. SMK Negeri 1 Ogan Komering Ulu is one of the few high schools capable to hold UNBK aside of Paper Based Test. To intensify the preparation of UNBK, a Moodle system is installed on the school local server. It is expected to get the network administrators, students, and teachers ready for the future UNBK.
Comparative Analysis Multi-Robot Formation Control Modeling Using Fuzzy Logic Type 2 – Particle Swarm Optimization Anggun Islami; Siti Nurmaini; Hadipurnawan Satria
Computer Engineering and Applications Journal Vol 11 No 3 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.436 KB) | DOI: 10.18495/comengapp.v11i3.413

Abstract

Multi-robot is a robotic system consisting of several robots that are interconnected and can communicate and collaborate with each other to complete a goal. With physical similarities, they have two controlled wheels and one free wheel that moves at the same speed. In this Problem, there is a main problem remaining in controlling the movement of the multi robot formation in searching the target. It occurs because the robots have to create dynamic geometric shapes towards the target. In its movement, it requires a control system in order to move the position as desired. For multi-robot movement formations, they have their own predetermined trajectories which are relatively constant in varying speeds and accelerations even in sudden stops. Based on these weaknesses, the robots must be able to avoid obstacles and reach the target. This research used Fuzzy Logic type 2 – Particle Swarm Optimization algorithm which was compared with Fuzzy Logic type 2 – Modified Particle Swarm Optimization and Fuzzy Logic type 2 – Dynamic Particle Swarm Optimization. Based on the experiments that had been carried out in each environment, it was found that Fuzzy Logic type 2 - Modified Particle Swarm Optimization had better iteration, time and resource and also smoother robot movement than Fuzzy Logic type 2 – Particle Swarm Optimization and Fuzzy Logic Type 2 - Dynamic Particle Swarm Optimization.
Co-Authors Anggun Islami Jambak, Muhammad Ihsan Muhammad Syahroyni Primanita, Anggina Rifkie Primartha Samsuryadi Sahmin Siti Nurmaini