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All Journal Prosiding Seminas Competitive Advantage Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Nugroho, Fressy
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Implementasi Fuzzy Expert System Untuk Diagnosis Penyakit Jantung Nurhayati, Hani; Nugroho, Fressy
Prosiding Seminas Vol 1, No 2 (2012): Seminas Competitive Advantage II
Publisher : Unipdu Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (180.529 KB)

Abstract

Abstrak Studi kasus penelitian mendesain Fuzzy Expert System untuk diagnose penyakit jantung. Desain system berdasarkan pada studi di RSU Dr Saiful Anwar melalui tanya jawab dari dokter spesialis jantung. Sistem mempunyai 15 variabel input dan 1 variabel output. Variabel input mencakup jenis nyeri dada, tekanan darah, kolesterol (LDL), diabetes, data ECG, detak jantung maksimum, latihan, old peak, thalium scan, jenis kelamin, umur, merokok, dada kiri ditekan terasa sakit, sesak nafas, dan batuk berdahak. Variabel output adalah tingkat resiko penyakit yang diderita oleh pasien. Output memberikan tingkatan mulai dari sehat, sakit stadium 1, sakit stadium 2, sakit stadium 3, dan sakit stadium 4.Sistem analisa menggunakan system pakar fuzzy (fuzzy expert system).Analisa metode menggunakan fuzzy mamdani.Hasil akurasi dari uji system adalah membandingkan ouput system dengan hasil pemeriksaan dokter spesialis sebesar  70%. Sistem menggunakan bahasa Java. Sistem dapat disarankan sebagai  alternativedeteksi dini penyakit jantung. Kata kunci : Penyakit Jantung, Fuzzy expert system, Fuzzy Mamdani.  Abstract The aim of this study is to design a Fuzzy ExpertSystem for heart disease diagnosis. The designed system basedon RSUD Dr Saiful Anwar by asked questions of the expert doctor . The system has 15 input fields and oneoutput field. Input fields are chest pain type, blood pressure,cholesterol, resting blood sugar, maximum heart rate, restingelectrocardiography (ECG), exercise, old peak (ST depressioninduced by exercise relative to rest), thallium scan, sex, age,blown, and cough with pleghem.The output field refers to the presence of heart disease in thepatient. It is integer valued from 0 (no presence) to 4(distinguish presence (values 1, 2, 3, 4)). This system usesMamdani inference method. The results obtained fromdesigned system are compared with cheking of the expert docter and observed results of designed system are correctin 70%. The system designed in Java software. The systemcan be viewed as an alternative for existing methods todistinguish of heart disease presence. Keyword : Heart Disease, Fuzzy expert System, Fuzzy Mamdani.
Peningkatan Akurasi Penanganan Pengaduan Pelayanan Publik Berbasis Lokasi Pelapor Menggunakan Geolokasi Basid, Puspa Miladin Nuraida Safitri A.; Nugroho, Fressy
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 6 No. 1 (2022)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v6i1.446

Abstract

The new normal era requires all activities to be online, so that people use more public services. However, at the same time the level of complaints has increased, from the many complaints that have been received, it must be known, which one is the correct complaint according to the location of the incident or is it just an act of ignorant hands. So that a special strategy is needed, by utilizing technology to determine the location of the incident accu-rately. One of the implementations of complaint handling by the whistleblower is that the reporter uses a smartphone. This is the reason the researchers raised the application of geotagging techniques to find out complete location information and geofencing methods to determine whether a location is included in the scope of an area. Several experiments have been carried out to test the accuracy of the techniques that will be applied to this e-complaint system. With an accuracy of 96%, this geofencing technique is good enough to be applied. In addition, the geotagging technique using EXIF from a digital image is considered the most suitable to be applied in this system than other geotagging techniques.
Co-Authors Hani Nurhayati Hargiani, Fransisca Xaveria