Multiagent Collaborative Computation for Aircraft Maintenance System

Sumari, Arwin Datumaya Wahyudi; Ahmad, Adang Suwandi

doi:10.28989/senatik.v3i0.104

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…Pemanfaatan Pearson Correlation digunakan dalam [4]. Penggunaan Knowledge Growing System (KGS) dengan metode Arwin-Adang-Aciek-Sembiring (A3S) telah dilakukan dalam [5]- [7].…”

Section: Pendahuluanunclassified

“…Data untuk memprediksi menggunakan SMA dan EMA berupa CSV diproses lebih lanjut menggunakan Google Colab berbasis Python. Persamaan untuk SMA, EMA diadopsi dari [2], sedangkan persamaan untuk metode A3S sebagai mesin inti pada KGS diadopsi dari [6], [7], [11], dan [12] yang diperlihatkan pada Persamaan 1 sampai Persamaan 4.…”

Section: B Pengolahan Dataunclassified

“…KGS dengan metode fusi penginferensian informasi ASSA2010 yang merupakan mesin utama dalam Cognitive Artificial Intelligence (CAI) oleh [20] dan [21] telah mampu menghasilkan prediksi-prediksi yang relevan dengan dinamika pandemi di lima provinsi di Pulau Jawa atau merepresentasikan lebih dari 80 % dinamika riil pandemi Covid-19 di Pulau Jawa [19]. Hasil ini menunjukkan bahwa KGS mempunyai potensi untuk diterapkan dalam prediksi pada model deret waktu yang belum dibahas dalam [5]- [7].…”

Section: Hasil Dan Pembahasanunclassified

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Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS)

Sumari

Putra

Musthofa

et al. 2020

J. Teknol. dan Sist. Komput

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This study aims to analyze the comparative performance of pandemic dynamics prediction methods on the island of Java, based on data from March to May 2020 covering the provinces of DKI Jakarta, West Java, Central Java, DI Yogyakarta, and East Java. The prediction uses Knowledge Growing System (KGS) and time series models, namely Single Moving Average (SMA) and Exponential Moving Average (EMA). Based on the Mean Absolute Percentage Error (MAPE) computational results, the EMA method produces a lower error rate than the SMA method with 47.94 % on average. The KGS prediction with a Degree of Certainty (DoC) produced a trend analysis that the pandemic dynamics in DKI Jakarta province will decrease gradually if the current policy is still implemented. Whereas in the other provinces, the KGS predicted the pandemic dynamics trends will still increase.

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“…Pemanfaatan Pearson Correlation digunakan dalam [4]. Penggunaan Knowledge Growing System (KGS) dengan metode Arwin-Adang-Aciek-Sembiring (A3S) telah dilakukan dalam [5]- [7].…”

Section: Pendahuluanunclassified

Section: B Pengolahan Dataunclassified

Section: Hasil Dan Pembahasanunclassified

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Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS)

Sumari

Putra

Musthofa

et al. 2020

J. Teknol. dan Sist. Komput

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“…KGS as the main engine of CAI has been applied to some real-life problems. Its applications range from decision making to biomedical engineering such as military decision making in [21,22] and [31], power plant energy management in [32], gene behavior estimation in [33], dissolved gas analysis for interpreting transformer condition in [34,35], device encryption method in [36], and intelligence analysis and estimation in [37]. We have been making advances by transferring the KGS algorithm to hardware to develop a cognitive processor [38][39][40].…”

Section: Other Cai Applications For Humankindmentioning

confidence: 99%

Cognitive Artificial Intelligence: Concept and Applications for Humankind

Sumari¹,

Ahmad²

2018

Intelligent System

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Computation within the human brain is not possible to be emulated 100% in artificial intelligence machines. Human brain has an awesome mechanism when performing computation with new knowledge as the end result. In this chapter, we will show a new approach for emulating the computation that occurs within the human brain to obtain new knowledge as the time passes and makes the knowledge to become newer. Based on this phenomenon, we have built an intelligent system called the Knowledge-Growing System (KGS). This approach is the basis for designing an agent that has ability to think and act rationally like a human, which is called the cognitive agent. Our cognitive modeling approach has resulted in a model of human information processing and a technique called Arwin-Adang-Aciek-Sembiring (A3S). This brain-inspired method opens a new perspective in AI known as cognitive artificial intelligence (CAI). CAI computation can be applied to various applications, namely: (1) knowledge extraction in an integrated information system, (2) probabilistic cognitive robot and coordination among autonomous agent systems, (3) human health detection, and (4) electrical instrument measurement. CAI provides a wide opportunity to yield various technologies and intelligent instrumentations as well as to encourage the development of cognitive science, which then encourages the intelligent systems approach to human intelligence.

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Multiagent Collaborative Computation for Aircraft Maintenance System

Cited by 2 publications

References 5 publications

Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS)

Pandemic dynamics prediction in Java using the Moving Average method and the Knowledge Growing System (KGS)

Cognitive Artificial Intelligence: Concept and Applications for Humankind

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