A
Aji Akbar Firdaus
Researcher at Airlangga University
Publications - 28
Citations - 124
Aji Akbar Firdaus is an academic researcher from Airlangga University. The author has contributed to research in topics: Photovoltaic system & Computer science. The author has an hindex of 5, co-authored 21 publications receiving 55 citations. Previous affiliations of Aji Akbar Firdaus include Sepuluh Nopember Institute of Technology.
Papers
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Voice recognition system for controlling electrical appliances in smart hospital room
TL;DR: This research aims to develope voice recognition based home automation and being applied to patient room to help patient with physical disabilities control the switch on electrical appliances in patient’s room.
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Distribution Network Reconfiguration Using Binary Particle Swarm Optimization to Minimize Losses and Decrease Voltage Stability Index
TL;DR: This research uses binary particle swarm optimization algorithm and Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method to analyze the radial system power flow to minimize power losses and voltage drop as well as decreasing the voltage stability level.
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An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system
Aji Akbar Firdaus,Riky Tri Yunardi,Eva Inaiyah Agustin,Sisca D. N. Nahdliyah,Teguh Aryo Nugroho +4 more
TL;DR: The MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method and indicates better performance and faster than the PSO.
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Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study
Dessy Harisanty,Nove E. Variant Anna,Tesa Eranti Putri,Aji Akbar Firdaus,Nurul Aida Noor Azizi +4 more
TL;DR: In this paper , the authors investigated the level of artificial intelligence awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.
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Short-term photovoltaics power forecasting using Jordan recurrent neural network in Surabaya
Aji Akbar Firdaus,Riky Tri Yunardi,Eva Inaiyah Agustin,Tesa Eranti Putri,Dimas Okky Anggriawan +4 more
TL;DR: In this article, the Jordan recurrent neural network (JRNN) was used to predict short-term PV power based on temperature and solar radiation in the tropical island of Java, Indonesia.