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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Inovasi Pertambangan dan Lingkungan
Victor Amrizal
Unknown Affiliation
Computer Science & IT Engineering Environmental Science Materials Science & Nanotechnology

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Pengaplikasian Kalman Filter sebagai Pengendali dalam Permainan The Open Racing Car Simulator (TORCS) Rendy Andrian Yahya; A Arini; Victor Amrizal
Jurnal Processor Vol 15 No 1 (2020): Processor
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.307 KB) | DOI: 10.33998/processor.2020.15.1.740

Abstract

The Open Racing Car Simulator (TORCS) works as both a playable game and a framework to develop artificial intelligence-based controllers. As a platform for researchers, TORCS has become a platform in controller development with various approaches in artificial intelligence using sensors and actuators provided by the SCR Server. In this research, the author develops a controller using the Kalman Filter, an algorithm to predict and measure states based on previous measurements to determine future trajectory.
ARTIFICIAL NEURAL NETWORK APPLICATION FOR HEAVY EQUIPMENT GAS EMISSION CONTROL ON ROCK BREAKING ACTIVITY Mulyanto Soerjodibroto; Victor Amrizal; Wishnu Prabowo
Jurnal Inovasi Pertambangan dan Lingkungan Vol 2, No 2 (2022): Jurnal Inovasi Pertambangan dan Lingkungan
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jipl.v2i2.29289

Abstract

Applications of artificial intelligence (AI) software in mining activities, both for equipment automation, data analysis and processing, identification of patterns and features data, upto determining solutions have been carried out by several mining companies. This is mainly due to mining activities naturally are always facing uncertainty and natural variability conditions. One of the AI applications is to control fuel consumption aimed at increasing the efficiency of fuel use, while in the same time reducing exhaust gas emissions from internal combustion engines, which are one of the causes of rising greenhouse gases (GHG).Utilization of AI in aimed to control fuel consumption in Rock Breaking activities in limestone quarry in the Sukabumi area, resulting a deviation rate of 0.17 for  fuel consumption prediction, which is fall in “ the good category”. Increasing the volume and variety of data for “machine learning” would  improve AI performance.Keywords : Artificial intelligence application,  fuel consumption, ICE gas emission control.
Co-Authors A Arini Mulyanto Soerjodibroto Rendy Andrian Yahya Wishnu Prabowo