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

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Pengembangan Teknologi ERP Modul Customer Relationship Management Studi Kasus Gudang ACC Sampit Elma Tiana; Eka Prasetyaningrum
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

ERP (Enterprise Resource Planning) is a concept for planning and managing company resources including funds, people, machines, spare parts, time, materials and capacities that have a wide influence from top management to operations in a company so that they can be optimally utilized for generate added value for all interested parties (stake holders) of the company. CRM is an integrated function that supports a company in the fields of marketing, sales and service, which can increase the value of customer satisfaction. With the increase in the value of customer satisfaction, the company's sales figures will increase.
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 Prasetyaningrum, Eka Sri Wahyuni