Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal CICES (Cyberpreneurship Innovative and Creative Exact and Social Science)
Alun Sujjada
Universitas Nusa Putra, Sukabumi, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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Garuda’s Valor: Eksplorasi Sejarah Perang Bojong Kokosan Melalui Game 3d Third Person Shooter Dengan Algortima A* Chelika Patricia Handraputri; Kamdan Kamdan; Bibin Aripin; Muhammad Azmi Fauzan; Alun Sujjada
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3246

Abstract

This research applies the A* algorithm in the 3D Third Person Shooter (TPS) game "Garuda's Valor" with a historical theme. The focus is on optimizing character navigation and movement responsiveness for an immersive gameplay experience. The method includes designing the A* algorithm, testing responsiveness, and assessing its impact on game appeal and user satisfaction. The study also integrates historical elements of the Bojong Kokosan battle to provide valuable educational experiences. Challenges include complex terrain and dynamic obstacles, aiming to create a realistic and engaging environment. This project explores the balance between historical accuracy and engaging gameplay, and analyzes the algorithm's efficiency. "Garuda's Valor" sets a new standard in educational games, combining fun and learning through advanced artificial intelligence.
Implementasi Automatic Speech Recognition Pada Penilaian Hafalan Al-Quran Dengan Metode Muroja’ah Berbasis Android Alun Sujjada; Gina Purnama Insany; Muhamad Fajar Nugraha
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3247

Abstract

This research implements Automatic Speech Recognition (ASR) technology in the process of assessing Al-Qur'an memorization to overcome the problem of the increasing number of people who cannot read the Al-Qur'an fluently. With ASR, computers can recognize and transcribe human speech accurately, thereby improving the quality and accuracy of pronunciation and providing constructive feedback to learners. An Android-based application that uses the ASR service from the Google Speech API allows users to recite verses from the Koran and automatically recognize and evaluate what they have memorized. The hope is that the use of ASR technology can improve the ability to memorize the Al-Qur'an more effectively and flexibly without requiring direct teacher assistance. This system was developed using the Rapid Application Development (RAD) method with Blackbox Testing.
Co-Authors Bibin Aripin Chelika Patricia Handraputri Dwi Sartika Simatupang Gina Purnama Insany Habbyan Lazuard Haryadi Kamdan Muhamad Fajar Nugraha Muhammad Azmi Fauzan