RANCANG BANGUN SISTEM DIAGNOSA PENYAKIT DEGENERATIF PADA LANSIA MENGGUNAKAN METODE CERTAINTY FACTOR DI POSYANDU LANSIA DESA GUYUNG

Selziana, Ine Putri (2024) RANCANG BANGUN SISTEM DIAGNOSA PENYAKIT DEGENERATIF PADA LANSIA MENGGUNAKAN METODE CERTAINTY FACTOR DI POSYANDU LANSIA DESA GUYUNG. S1 thesis, Universitas PGRI Madiun.

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Abstract

ABSTRACT Ine Putri Selziana. 2024. Design of a Diagnostic System for Degenerative Diseases in the Elderly Using the Certainty Factor Method at the Posyandu for the Elderly in Guyung Village. Thesis. Informatics Engineering Study Program, FT, Universitas PGRI Madiun, Advisor (I) Erny Untari, S. Pd., M. Pd Co-Advisor (II) Yoga Prisma Yuda, S. Kom., M. Kom. Elderly people are vulnerable to various degenerative diseases due to a continuous decline in the function of body cells. The spread of degenerative diseases among the elderly in Indonesia is increasing due to changes in lifestyle, lack of knowledge, health awareness and genetic factors. Posyandu for the elderly plays an important role in maintaining the health of the elderly and early detection of degenerative diseases, although there are still obstacles in diagnosis that require experts and high costs. This research aims to develop a system for diagnosing degenerative diseases in the elderly using the Certainty Factor method at the Posyandu for the elderly in Guyung Village. It is hoped that this system can help health workers in making more accurate, faster and cheaper diagnoses, as well as providing benefits for posyandu cadres and officers. The diagnosis system developed using the Certainty Factor method allows calculating the level of certainty of a diagnosis based on the symptoms entered by the user. This system is implemented using the PHP and JavaScript programming languages, with two main access points: elderly posyandu cadres and health workers. Evaluation of the CF model on the three degenerative diseases in the Guyung village elderly community center had a CF value above 90%, which indicates a high level of confidence in the diagnosis. And accuracy values above 80%, these values have a high level of accuracy but are not perfect. The test results on 15 respondents showed a System Usability Scale (SUS) score of 68.6, falling into category D, which indicates a significant deficiency. Users feel the system can be used, but it has not yet reached a satisfactory level of acceptance. Keywords: Elderly, degenerative diseases, expert system, certainty factor, diagnos

Item Type: Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci: Elderly, degenerative diseases, expert system, certainty factor, diagnos
Subjects: Q Science > QH Natural history > QH426 Genetics
T Technology > T Technology (General)
T Technology > TX Home economics
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Fakultas Teknik > Teknik Informatika
Depositing User: SELZIANA PUTRI INE
Date Deposited: 20 Aug 2024 05:56
Last Modified: 20 Aug 2024 05:56
URI: http://eprint.unipma.ac.id/id/eprint/1522

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