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All Journal Dinamik Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Jurnal Informatika Upgris Indonesian Journal on Software Engineering (IJSE) Aptisi Transactions on Technopreneurship (ATT) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Indonesian Journal of Networking and Security - IJNS Journal of Engineering, Electrical and Informatics (JEEI) Buletin Abdi Masyarakat (BAM) INFORMATIKA Dinamika Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Manajemen Informatika & Teknologi Journal of Technology Informatics and Engineering Jurnal Ilmiah Sistem Informasi
Migunani Migunani
Universitas Sains Dan Teknologi Komputer
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences

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Journal : Journal of Technology Informatics and Engineering

 1 
VIRTUAL SYNCHRONOUS GENERATOR-BASED OVERSIGHT AND PREDICTIVE MODELS FOR MARS Migunani Migunani; Moh Muthohir; Dwi Setiawan
Journal of Technology Informatics and Engineering Vol 1 No 3 (2022): Desember: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.146

Abstract

This research serves the virtual Synchronous Generator finding and oversight building of the Multi-port Autonomous Reconfigurable Solar (MARS) structure to bring backing to the alternating-curring network under various events on the network and presents a “model-based predictive control” (MBPC) oversight finding for the MARS structure to bring backing to the MARS structure alternating-curring network while the density innovation is recognized in the system. The main objective is to nominate a “model-based predictive control” leading oversight design that can bring density backing while unexpected density alteration. In this study, a comprehensive application of a virtual Synchronous Generator-based oversight innovation for the MARS structure is given. The expected oversight finding and control architecture of the MARS structure is evaluated by simulation on the “PSCAD”/EMTDC simulation platform to show performance under various operating conditions and calculated in the “Opal-RT” offline simulation model that also can be adapted to complete the certified “control-hardware -in-the- loops” (c-HIL). The dominant density backing performance is a conceivable combined improvement for each current network-unified capability transistors system. By increasing infiltration of transistors system-based stuff, passivity and immediate density feedback potentially decrease. Leading “model-based predictive control” (MBPC) finding to provide density backing to current topologies of unified “photovoltaic” (PV), battery-based “energy storage system”s” (ESS), and “high-voltage direct current” (HVDC) method named “multi-port autonomous reconfigurable solar” (MARS) is suggested. The expected oversight finding for regularly based on virtual Synchronous Generator-based oversight. Simulation of the MARS-HVDC method by the recommended oversight approach was assumed and authorized for MARS related to a “small short circuit ratio” (SCR) network in a “PSCAD”/EMTDC assumed habitat. The expected oversight finding displays superior work in the phrase of increasing rock bottom frequency and increasing constant-area frequency concerning no density oversight. The results of this research indicate that the MARS architecture by Synchronous Generator -based oversight brings exceptional heat backing by inserting higher active potential to the structure while equitable stage error compared to the Virtual Synchronous Generator - based oversight mode. The Synchronous Generator-based oversight mode is also balanced and brings better work in the phase of density rock bottom and balance-area increase. In the great feedback, the Synchronous Generator-based oversight mode is good than the Virtual Synchronous Generator-based oversight mode for each short circuit ratio set tested. MBPC-based oversight is entrenched in a virtual Synchronous Generator-based oversight algorithm. The recommended oversight innovation and control architecture of the MARS structure was calculated on the MARS structure in the “PSCAD”/EMTDC simulation environment. The simulation results show an increase in nadir frequency and steady-state frequency provided by the Multi-port Autonomous Reconfigurable Solar (MARS) structure via MBPC control. In future research, leading oversight methods are required to bring steady action down to unsteady error.
VIRTUAL SYNCHRONOUS GENERATOR-BASED OVERSIGHT AND PREDICTIVE MODELS FOR MARS Migunani Migunani; Moh Muthohir; Dwi Setiawan
Journal of Technology Informatics and Engineering Vol 1 No 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.146

Abstract

This research serves the virtual Synchronous Generator finding and oversight building of the Multi-port Autonomous Reconfigurable Solar (MARS) structure to bring backing to the alternating-curring network under various events on the network and presents a “model-based predictive control” (MBPC) oversight finding for the MARS structure to bring backing to the MARS structure alternating-curring network while the density innovation is recognized in the system. The main objective is to nominate a “model-based predictive control” leading oversight design that can bring density backing while unexpected density alteration. In this study, a comprehensive application of a virtual Synchronous Generator-based oversight innovation for the MARS structure is given. The expected oversight finding and control architecture of the MARS structure is evaluated by simulation on the “PSCAD”/EMTDC simulation platform to show performance under various operating conditions and calculated in the “Opal-RT” offline simulation model that also can be adapted to complete the certified “control-hardware -in-the- loops” (c-HIL). The dominant density backing performance is a conceivable combined improvement for each current network-unified capability transistors system. By increasing infiltration of transistors system-based stuff, passivity and immediate density feedback potentially decrease. Leading “model-based predictive control” (MBPC) finding to provide density backing to current topologies of unified “photovoltaic” (PV), battery-based “energy storage system”s” (ESS), and “high-voltage direct current” (HVDC) method named “multi-port autonomous reconfigurable solar” (MARS) is suggested. The expected oversight finding for regularly based on virtual Synchronous Generator-based oversight. Simulation of the MARS-HVDC method by the recommended oversight approach was assumed and authorized for MARS related to a “small short circuit ratio” (SCR) network in a “PSCAD”/EMTDC assumed habitat. The expected oversight finding displays superior work in the phrase of increasing rock bottom frequency and increasing constant-area frequency concerning no density oversight. The results of this research indicate that the MARS architecture by Synchronous Generator -based oversight brings exceptional heat backing by inserting higher active potential to the structure while equitable stage error compared to the Virtual Synchronous Generator - based oversight mode. The Synchronous Generator-based oversight mode is also balanced and brings better work in the phase of density rock bottom and balance-area increase. In the great feedback, the Synchronous Generator-based oversight mode is good than the Virtual Synchronous Generator-based oversight mode for each short circuit ratio set tested. MBPC-based oversight is entrenched in a virtual Synchronous Generator-based oversight algorithm. The recommended oversight innovation and control architecture of the MARS structure was calculated on the MARS structure in the “PSCAD”/EMTDC simulation environment. The simulation results show an increase in nadir frequency and steady-state frequency provided by the Multi-port Autonomous Reconfigurable Solar (MARS) structure via MBPC control. In future research, leading oversight methods are required to bring steady action down to unsteady error.
VIRTUAL SYNCHRONOUS GENERATOR-BASED OVERSIGHT AND PREDICTIVE MODELS FOR MARS Migunani Migunani; Moh Muthohir; Dwi Setiawan
Journal of Technology Informatics and Engineering Vol. 1 No. 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.146

Abstract

This research serves the virtual Synchronous Generator finding and oversight building of the Multi-port Autonomous Reconfigurable Solar (MARS) structure to bring backing to the alternating-curring network under various events on the network and presents a “model-based predictive control” (MBPC) oversight finding for the MARS structure to bring backing to the MARS structure alternating-curring network while the density innovation is recognized in the system. The main objective is to nominate a “model-based predictive control” leading oversight design that can bring density backing while unexpected density alteration. In this study, a comprehensive application of a virtual Synchronous Generator-based oversight innovation for the MARS structure is given. The expected oversight finding and control architecture of the MARS structure is evaluated by simulation on the “PSCAD”/EMTDC simulation platform to show performance under various operating conditions and calculated in the “Opal-RT” offline simulation model that also can be adapted to complete the certified “control-hardware -in-the- loops” (c-HIL). The dominant density backing performance is a conceivable combined improvement for each current network-unified capability transistors system. By increasing infiltration of transistors system-based stuff, passivity and immediate density feedback potentially decrease. Leading “model-based predictive control” (MBPC) finding to provide density backing to current topologies of unified “photovoltaic” (PV), battery-based “energy storage system”s” (ESS), and “high-voltage direct current” (HVDC) method named “multi-port autonomous reconfigurable solar” (MARS) is suggested. The expected oversight finding for regularly based on virtual Synchronous Generator-based oversight. Simulation of the MARS-HVDC method by the recommended oversight approach was assumed and authorized for MARS related to a “small short circuit ratio” (SCR) network in a “PSCAD”/EMTDC assumed habitat. The expected oversight finding displays superior work in the phrase of increasing rock bottom frequency and increasing constant-area frequency concerning no density oversight. The results of this research indicate that the MARS architecture by Synchronous Generator -based oversight brings exceptional heat backing by inserting higher active potential to the structure while equitable stage error compared to the Virtual Synchronous Generator - based oversight mode. The Synchronous Generator-based oversight mode is also balanced and brings better work in the phase of density rock bottom and balance-area increase. In the great feedback, the Synchronous Generator-based oversight mode is good than the Virtual Synchronous Generator-based oversight mode for each short circuit ratio set tested. MBPC-based oversight is entrenched in a virtual Synchronous Generator-based oversight algorithm. The recommended oversight innovation and control architecture of the MARS structure was calculated on the MARS structure in the “PSCAD”/EMTDC simulation environment. The simulation results show an increase in nadir frequency and steady-state frequency provided by the Multi-port Autonomous Reconfigurable Solar (MARS) structure via MBPC control. In future research, leading oversight methods are required to bring steady action down to unsteady error.
Enhancing Big Data Processing Efficiency in AI-Based Healthcare Systems: A Comparative Analysis of Random Forest and Deep Priyadi, Priyadi; Migunani, Migunani; Sasmoko, Dani
Journal of Technology Informatics and Engineering Vol. 3 No. 3 (2024): December (Special Issue: Big Data Analytics) | JTIE: Journal of Technology Info
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i3.205

Abstract

This research focuses on optimizing the speed of Big Data processing using Artificial Intelligence (AI) in healthcare applications. The study integrates Random Forest (RF) and Deep Learning (DL) algorithms with cloud-based computing systems to improve data processing efficiency. The dataset includes both structured data, such as Electronic Health Records (EHR), and unstructured data, like medical images. The results show that RF performs better with structured data, achieving a lower Mean Squared Error (MSE) and higher R-squared (R²) than traditional methods. Meanwhile, DL achieves superior accuracy and Area Under the Curve (AUC) in processing unstructured data. By utilizing the distributed computing power of Spark on a cloud platform, the processing speed was significantly enhanced, as demonstrated by a statistically significant reduction in processing time (p < 0.05) observed through a t-test analysis comparing Spark-based computing with traditional methods. Despite these improvements, challenges such as data privacy and infrastructure costs remain. Despite these improvements, challenges such as data privacy and infrastructure costs remain. This research provides a robust framework for real-time healthcare data analysis, highlighting its potential to improve decision-making processes and patient outcomes in medical services.
Co-Authors - STMIK Pro Visi Semarang, Fitro Nur Hakim A. Aviv Mahmudi Achmad Solechan Adi Setiawan Agustina Widodo Ahmad Aviv Mahmudi Andre Setya Yudhanto Arief Hidayat Arsito Ari Kuncoro Atwa, Arie Bayu Surarso Bryan Adi Gunawan Chandani, Chicie Chicie Chandani Danang Nur Cahyo Danang Nur Cahyo Dani Sasmoko Deni Candra Saputra Diah Yulianti Nuraisyah Diana Mahdarita Dwi Setiawan Dwi Setiawan Edy Siswanto Fazlina Rira Cipty Febryantahanuji Febryantahanuji Fitro Nur Hakim Gilang Fahri ilmi, vefari Irwan Sembiring Isaac Vital Kevin Aditama Khoirur Rozikin Khoirur Rozikin Kinanti Sekar Arum Kusumo, Haryo M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Mahdarita, Diana Maya Utami Dewi Maya Utami Dewi, Maya Utami Melia Maldani Moh Muthohir Nuha, Anandeka Alfin Ulin Oky Dwi Nurhayati Pratama, Bayu Rizki Pratama Priyadi Priyadi Purnomo Setiawan Reni Veliyanti S Siswanto Sapto Aji Setiawan, Purnomo SITI KHOLIFAH Syifa Ashafatun Toni Wijanarko Adi Putra Umi Mukhofifah Umy Mukhofifah Umy Mukhofifah Yanu Putranto