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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JUTI: Jurnal Ilmiah Teknologi Informasi
Jaka Sembiring
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The Utilization of A3S Information-Inferencing Fusion Method for Nation Defense Arwin Datumaya Wahyudi.S; Adang Suwandi Ahmad; Aciek Ida Wuryandari; Jaka Sembiring
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Decision-making is the most critical phase in Observe, Orient, Decide, and Act (OODA) defense decisioncycle. If the decision made is correct regarding the current situation, then it can minimize the possibility of loss.The contradiction situation will occur if the incorrect decision is made. The correctness of the decision dependsof the quality on information delivered from Orient(ation) phase that will be used as the basis for decisionmaking.Meanwhile, in defense applications the process of decision-making plays a very important roleespecially if the time is the most affecting factor. Such an application is nation defense system in defending ourcountry’s nation sovereignty in air, sea, and land. Therefore, the faster the decision is made, the earlier thesystem can perform anticipations to any nation defense intrusion. For this purpose, in this paper we address theutilization of A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion for accelerating theinformation processing and obtaining good comprehensive information quality that will be used as the basis forstrategic decision-making for nation defense.Keywords: A3S, information-inferencing fusion, nation defense, OODA, strategic decision-making
AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A NOVEL FIELD IN ARTIFICIAL INTELLIGENCE Arwin Datumaya Wahyudi Sumari; Adang Suwandi Ahmad; Aciek Ida Wuryandari; Jaka Sembiring; Farida Agustini Widjajati
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 2, Juli 2010
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20963.083 KB) | DOI: 10.12962/j24068535.v8i2.a313

Abstract

The essential matter of Artificial Intelligence (AI) is how to build an entity that mimics human intelligence in the way of learning of a phenomenon in a real life to gain knowledge of it and uses the knowledge to solve problems related to it. Based on the findings of intelligenct characteristic displayed by the human brain in growing and generating new knowledge by fusing information perceived by sensory organs, we develop brain-inspired Knowledge-Growing System (KGS) that is, a system that is capable of growing its knowledge along with the accretion of information as the time passes. The essential matter of KGS is knowledge-growing method which is based on a new algorithm called Observation Multi-time A3S (OMA3S) information-inferencing fusion method. In this paper we deliver the development of KGS along with some examples of KGS application to a real-life problem. Based on the state-of-the-art of AI and approaches to construct OMA3S method as KG method as well as validations to assess the system performance, we state that brain-inspired KGS is a novel field in AI.
Co-Authors Aciek Ida Wuryandari Adang Suwandi Ahmad Arwin Datumaya Wahyudi Sumari Farida Agustini Widjajati