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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) The Indonesian Journal of Computer Science
Gusrianty
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Implementasi Metode Fuzzy Logic Untuk Aplikasi Diagnosa Penyakit Pencernaan Manusia Kurniawan, Harry; Gustientiedina; Desnelita, Yenny; Gusrianty
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3035

Abstract

The digestive system in humans is one of the vital organs of the body so that the health of the digestive system is very important to maintain. As a result, disseminating information regarding the diagnosis of human digestive disorders is critical in order to determine the sorts of diseases encountered by patients early on. The goal of this study is to design an application that uses an expert system and fuzzy logic to diagnose human digestive illnesses. This expert system can assist in the diagnosis of human digestive disorders and assist doctors in the diagnosis of human digestive diseases in patients. This expert system application uses the System Development Life Cycle (SDLC) for system development and uses the fuzzy logic approach to determine the severity of human digestive illnesses. Whereas, the Forward Chaining method is used for the tracing process that starts from the symptoms of the disease to produce answers to the types of human digestive diseases in the expert system. This research produces an expert system for diagnosing human digestive diseases based on the symptoms found using the fuzzy logic method.
Cluster Analysis Based on McKinsey 7s Framework in Improving University Services Jollyta, Deny; Oktarina, Dwi; Gusrianty; Astri , Renita; Kadim, Lina Arliana Nur; Dasriani, Ni Gusti Ayu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 1 No. 1 (2021): October 2021
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2005.51 KB) | DOI: 10.59934/jaiea.v1i1.45

Abstract

The epidemic of Covid-19 has impacted all aspects of human life, including education. Academic and administrative services for academic community are suffering, as a result of the fact that not all universities are able to provide online services to help break the chain of Covid-19 distribution. This is due to a lack of human competencies to use technology and a lack of information technology resources, necessitating the development of new strategies by universities to address these flaws. The goal of this study is to develop a university service strategy based on McKinsey 7s cluster results on the part that is having issues based on questionnaire data. The questionnaire is organized on seven McKinsey elements. The Manhattan distance calculation and the K-Medoids algorithm results demonstrated that the structure, system, skill and staff are all part of elements that clustered in k=2 and has to be addressed in aiding services during the Covid-19 pandemic. The McKinsey 7s showed that universities service enhancements may be achieved by combining clustering techniques and McKinsey framework.
Co-Authors Astri , Renita Ayu Dasriani, Ni Gusti Deny Jollyta Desnelita, Yenny Dwi Oktarina Gustientiedina Harry Kurniawan Kadim, Lina Arliana Nur