LIE, GILBERT RONAL (2023) APLIKASI BERBASIS WEBSITE SISTEM PENDUKUNG KEPUTUSAN (SPK) DIAGNOSIS TINGKAT KEPARAHAN PENYAKIT GINJAL DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP). S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
In determining the type of disease and the severity of the disease required accuracy in making a diagnosis, especially kidney disease. This is because the diagnosis has an effect on explaining the clinical symptoms and signs experienced by a patient, and distinguishing them from other similar conditions. The purpose of this research is to produce systems and applications to support the diagnosis of kidney disease severity by using the Analytical Hierarchy Process (AHP) method. The variable to be studied is the severity scale of kidney disease symptoms. The variable to be studied is the level of severity of kidney disease symptoms. The number of samples obtained consisted of five criteria for the stage of kidney disease and sixteen alternative symptoms of kidney disease. The sampling technique in this paper was in the form of surveys and direct interviews with doctors. The method used in this research is the Analytical Hierarchy Process (AHP). The results obtained in the form of a scale of severity of symptoms suffered by the patient. The conclusion isthat the decision supportsystem can help users such as doctors and the general public in understanding the severity of kidney disease that is being suffered by the patients. Keywords: Analytical Hierarchy Process, Diagnosis, Severity, Kidney, Kidney Disease, Decision Support System In determining the type of disease and the severity of the disease required accuracy in making a diagnosis, especially kidney disease. This is because the diagnosis has an effect on explaining the clinical symptoms and signs experienced by a patient, and distinguishing them from other similar conditions. The purpose of this research is to produce systems and applications to support the diagnosis of kidney disease severity by using the Analytical Hierarchy Process (AHP) method. The variable to be studied is the severity scale of kidney disease symptoms. The variable to be studied is the level of severity of kidney disease symptoms. The number of samples obtained consisted of five criteria for the stage of kidney disease and sixteen alternative symptoms of kidney disease. The sampling technique in this paper was in the form of surveys and direct interviews with doctors. The method used in this research is the Analytical Hierarchy Process (AHP). The results obtained in the form of a scale of severity of symptoms suffered by the patient. The conclusion isthat the decision supportsystem can help users such as doctors and the general public in understanding the severity of kidney disease that is being suffered by the patients. Keywords: Analytical Hierarchy Process, Diagnosis, Severity, Kidney, Kidney Disease, Decision Support System
| Item Type: | Thesis (S1) |
|---|---|
| Call Number CD: | FIK/INFO. 23 069 |
| NIM/NIDN Creators: | 41519110205 |
| Uncontrolled Keywords: | Analytical Hierarchy Process, Diagnosis, Severity, Kidney, Kidney Disease, Decision Support System |
| Subjects: | 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| Divisions: | Fakultas Ilmu Komputer > Informatika |
| Depositing User: | CALVIN PRASETYO |
| Date Deposited: | 08 Sep 2023 03:59 |
| Last Modified: | 08 Sep 2023 03:59 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/80542 |
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