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All Journal MAGISTRA Journal of Computer Science and Technology (JCS-TECH)
Depi Trisnawati
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Computer Science & IT Control & Systems Engineering Education

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APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT DIABETES MELITUS MENGGUNAKAN METODE DHEMSTER SHAFER Wuryandari, Aryati; Trisnawati, Depi
MAGISTRA Vol 25, No 85 (2013): Magistra September
Publisher : MAGISTRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.153 KB)

Abstract

Diabetes Melitus merupaka penyakit menahun yang menjadi problem kesehatan masyarakat di Indonesia . Diperkirakan pada tahun 2020 akan ada 21.3 juta penderita Diabetes yang harus dikelola dengan baik agar tidak terjadi komplikasi atau penyulit yang memberatkan.( Hasil Konsensus Perkeni 2011). Penelitian ini bertujuan Bagaimana membuat sistem pakar sebagai alat bantu pendiagnosa penyakit Diabetes Melitus. Knowledge base dari system pakar ini didapat dari wawancara dengan dokter spesialis penyakit dalam di RSUP Dr. Soeradji Tirtonegoro Klaten, pustaka, observasi dan hasil penelitian. Sistem Pakar ini menggunakan metode Dhemster Shafer. Sesi konsultasi pada sistem ini berupa dialog interaktif antara user dengan sisitem pakar mengenai penyakit Diabetes. User memilih dari gejala yang diajukan oleh system, dan sistem memberikan informasi mengenai kemungkinan diabetes, diagnosis diabetes, dan saran terapi bagi user. Kata Kunci : Aplikasi, diabetes melitus, metode dhemster shafer
SISTEM PAKAR PENDIAGNOSA PENYAKIT DIABETES MELITUS MENGGUNAKAN FORWARD CHAINING Depi Trisnawati; Mariana Windarti; Istri Sulistyowati; Fajar Budi Hartono
Journal of Computer Science and Technology Vol 2 No 1 (2022): Mei 2022
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.189 KB) | DOI: 10.54840/jcstech.v2i1.32

Abstract

Diabetes is a disease that causes death which is quite high in the world, even in Indonesia, this is indicated by the position of Indonesia with the highest number of diabetic patients, which is 7th out of 10 countries. Diabetes Mellitus is also a chronic disease that is a public health problem in Indonesia. By 2020, the number of diabetes attacks will reach 18 million. The increasing use of computer technology causes the rapid flow of information and communication from one place to another. One application of technology is an expert system. This expert system is used for early detection of the type of disease suffered by the patient based on the symptoms caused without having to go to the doctor. In this study, an expert system for diagnosing diabetes mellitus will be designed. The method used is the forward chaining inference method and Microsoft Visual FoxPro 9.0 software. The forward chaining method works by analyzing the facts obtained from the input based on the rules stored in the database to get a conclusion. This expert system for diagnosing diabetes mellitus is used by the community as a tool for early detection without having to consult directly with a doctor. The conclusion or solution obtained from this expert system is that the user is predicted to have diabetes or does not have mild or secondary diabetes along with the results of the diagnosis according to the solution provided by the system
Co-Authors Fajar Budi Hartono Istri Sulistyowati Mariana Windarti