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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA INFOKUM Jurnal Abdidas Jurnal Minfo Polgan (JMP)
Ellanda Purwawijaya
Teknologi Informasi, Fakultas Teknologi, Universitas Battuta
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Health Professions Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : INFOKUM

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Testing C4.5 Algorithm Using Rapid Miner Applications In Determining Customer Satisfaction Levels Fithrie Soufitri; Ellanda Purwawijaya; Eka Hayana Hasibuan; Roy Nuary Singarimbun
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.415 KB)

Abstract

Data mining is a series of processes to extract added value in the form of information that has not been known manually from a database. The resulting information is obtained by extracting and recognizing important or interesting patterns from the data contained in the database. One part of the service of an agency is the service to customers, customers or those related to certain services. The quality of service is assessed by what has been done and how to treat from those who serve, some provisions used to ensure service optimization are Confiden, Integrity, Pride and Passion with the main purpose or output is Customer Satisfaction. The process of Forming a Pattern of Satisfaction Level by Utilizing the C4.5 Algorithm Penelitain process is carried out by data collection, testing with applications, exposure of pattern results or Knowledge. Pola yang terbentuk after the extraction is 1.Integrity = low: quite satisfied {very satisfied=0, quite satisfied=3}Integrity = tall, Passion = low: quite satisfied {very satisfied =0, quite satisfied =2}, Passion = tall: very satisfied {very satisfied =11, quite satisfied =0}.
Application Of The Expert System Of Certainty Factor Methods In Diagnosing Thyroid Disease Ellanda Purwawijaya; Fithrie Soufitri; Fahmi Ruziq; Dinur Syahputra
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Thyroid gland disease or what is called hyperthyroidism is a disease that is often found in the community. The body's need for thyroid hormone is needed to control body growth and process food metabolism into energy. An overactive thyroid gland produces thyroid hormone which causes high levels of thyroid hormone in the blood. This condition is known as hyperthyroidism. In the medical world, to be able to diagnose hyperthyroidism is difficult, because the symptoms of hyperthyroidism vary greatly, depending on the rise and fall of thyroid hormones. From the above problems, a technology utilization is needed to reduce each problem and implement it into an expert system. An expert system is a branch of artificial intelligence that uses special knowledge/knowledge to solve problems at the human expert/expert level. Expert systems have been developed in various sciences, one of which is in the field of medicine to diagnose diseases. The expert system used to determine the diagnosis of the disease will help confirm the diagnosis and provide advice and therapy in the treatment of the disease. The test results "Expert System Diagnosing Hyperthyroid Disease Using the Certainty Factor Method" show that this expert system can diagnose hyperthyroidism according to the answers given by the user with an accuracy value of 100%.
Co-Authors Aripin Rambe Dinur Syahputra Eka Hayana Hasibuan Fahmi Ruziq Fithrie Soufitri Hendra Pasaribu Nababan, Junerdi Rahmad Syuhada Roy Nuary Singarimbun Roy Nuary Singarimbun