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All Journal Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON)
Sri Wahyuni
Universitas Darwan Ali, Sampit
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Teknologi Tepat Guna UMKM Kotim Simulasi Harga Komputer Rakitan Menggunakan Sistem Pendukung Keputusan Sri Wahyuni; Slamet Riyadi
Journal of Computer System and Informatics (JoSYC) Vol 1 No 4 (2020): August 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Assembled computers are computers that are self-assembled or can be assembled by stores with specifications accordance with the user's request. Apart from that, the difficulty of choosing components of a computer device that fits with your needs and financial budget is not an easy thing. So, there needs to be a supporting application in order to make it easier for users to choose computer peripheral components. The selection of assembled computer devices is using the fuzzy mamdani method, which is a suitable method to converting languages that are difficult for the public to understand, because the fuzzy database itself is a database that has queries that contain a fuzzy variable.
Hasil Analisis Teknik Data Mining dengan Metode Naive Bayes untuk Mendiagnosa Penyakit Kanker Payudara Elma Tiana; Sri Wahyuni
Jurnal Sistem Komputer dan Informatika (JSON) Vol 1, No 2 (2020): Januari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.591 KB) | DOI: 10.30865/json.v1i2.1766

Abstract

Breast cancer or Mammae Carsinoma is an uncontrolled cell growth in the milk-producing glands (lobular), the gland tract from the lobular to the Breast nipple (ductus), and the breast support tissues that surround the lobular, ductus, vessels Blood and limfe vessels, but does not include breast skin. Research begins by conducting a preprocessing stage, to eliminate missing values. After that the process is imputasi to remove missing values. It then performed a feature selection to see which attribute had a major impact on the data. The last stage is classification with two methods, namely Naïve Bayes. At the end of the study, the method is best to classify the recurrence data of breast cancer patients.
Co-Authors Elma Tiana Slamet Riyadi