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Implementasi Sistem Pakar Untuk Mendiagnosa Penyakit Pada Perokok Aktif Dan Perokok Pasif Dengan Menggunakan Metode Anfis Laila Safira; Muhammad Misdram; Dian Ahkam Sani
INTEGER: Journal of Information Technology Vol 6, No 1: Mei 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2021.v6i1.1202

Abstract

Abstract. Cigarettes or cigars are cylinders of paper measuring between 70 and 120 mm long and about 10 mm in diameter containing chopped dried tobacco leaves. A person who inhales cigarette smoke is called a smoker. Smokers are divided into active smokers and passive smokers. An active smoker is someone who regularly consumes the smallest amount of cigarettes even though it's only 1 cigarette a day, and a passive smoker is someone who inhales cigarette smoke from an active smoker. Exposure to secondhand smoke can cause serious illness and death. The dangers of smoking on the health of the body have been researched and proven by many people. Lack of self-care, and lack of knowledge about the dangers of smoking make some people no longer think about their health in the future. Many rule out the bad effects caused by cigarette smoke. This is because these effects are not immediately visible when you first smoke. Many smokers are reluctant to get checked out for various reasons. Therefore, researchers made the implementation of an expert system to diagnose diseases in active smokers and passive smokers using the Anfis method. Anfis is an amalgamation of the system's fuzzy interface mechanism described in a neural network architecture. From the results of the implementation trial, the accuracy of the learning rate was 70% - 90% by including the same symptoms.Keywords: Expert System, Cigarettes, Anfis
Kombinasi Metode F-AHP dan F-TOPSIS dengan Rasio Keuangan untuk Menentukan Peringkat Bank Perkreditan Rakyat di Kota Malang Abdul Aziz; Muhammad Misdram
SMARTICS Journal Vol 4 No 2: SMARTICS Journal (Oktober 2018)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.371 KB) | DOI: 10.21067/smartics.v4i2.2771

Abstract

Penentuan Peringkat Bank Perkreditan Rakyat dipandang penting untuk mempermudah masyarakat dalam memilih. Penentuan peringkat Bank Perkreditan Rakyat biasanya dilakukan sesuai dengan ketentuan Bank Indonesia peraturan Bank Indonesia (BI) No. 30/12/KEP/DIR Tanggal 30 April 1997 tentang Tata Cara Penilaian Kesehatan BPR. Banyak studi yang telah dilakukan untuk menentukan metode penentuan peringkat dengan pendekatan metode Fuzzy MCDM, BSC, F-AHP, F-TOPSIS, VIKOR, DANP pada bidang perbankan. Pada penelitian ini diusulkan sebuah model pendekatan evaluasi penilaian kinerja dengan kombinasi metode F-AHP dan F-TOPSIS dengan rasio keuangan sebagai kriteria penilaian (Capital, Assets, Equity dan Liquidity) untuk menentukan peringkat BPR di Kota Malang. Data yang digunakan adalah data laporan keuangan perbankan selama tiga tahun (2014-2016). Hasil penelitian menunjukkan bahwa kombinasi metode F-AHP dan F-TOPSIS dengan rasio keuangan dapat digunakan sebagai metode alternatif untuk menyusun peringkat Bank Perkreditan Rakyat di Kota Malang.