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Implementasi Algoritma Weighted Product (WP) Dengan Model Fuzzy Multi Attribute Decission Making (FMADM) Dalam Penilaian Kinerja Karyawan Kiki Apni Puspita Sari; Eka Irawan; Fitri Rizky
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 2, No 1 (2020): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v2i1.49

Abstract

Employee performance appraisal is a work evaluation activity that is used to determine the quality which will be used for the achievement of each individual employee. The purpose of this research is to appraise employee performance, especially for the security guard. In this study the authors used the Decision Support System technique using the Fuzzy Multi Attribute Decision Making algorithm, namely Weighted Product. The source of the research data used was to provide an assessment form to Krani Papam. In the employee performance appraisal, researchers used 5 assessment criteria, including: Attendance (C1), Responsibility (C2), Commitment (C3), Cooperation (C4), and Motivation (C5). In this study, the alternative used as a sample is employees in the security section (security guard). From the results of manual calculations and system testing, the highest value is 0.0286. It is expected that the results of this study can provide input to the office, especially the security section (security guard) in selecting employee performance so that the assessment is carried out objectively.
Penerapan Metode Analytical Hierarchy Process pada Kasus Kenaikan Golongan Karyawan Unit Kebun Marjandi Eka Irawan
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.752 KB) | DOI: 10.30645/brahmana.v1i1.15

Abstract

The purpose of this research is to analyze with the Analytical Hierarchy Process method, whether the increase in employee class at the Unit Kebun Marjandi can be applied. The results obtained using either manual or computerized calculations show the same results, namely alternative A1 selected as the best alternative in determining the increase in employee class at the Unit Kebun Marjandi. The results obtained in the form of ranking a number of alternative candidates with several criteria as parameters in determining the increase in employee class at the Unit Kebun Marjandi.
Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5 Sanni Ucha Putri; Eka Irawan; Fitri Rizky
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 2, No 1 (2021): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v2i1.56

Abstract

Diabetes is a worldwide health problem with an estimated 120 million sufferers. This figure will increase if there is ignorance of the general public about the factors that can trigger diabetes. In this study, the aim of this research is to make a prediction model using Data Mining Algorithm C4.5 which produces a decision tree and tests carried out using Rapidminner so that diabetes prevention can be done as soon as possible. In this study, there are several classification attributes, namely body weight, age, blood pressure, pulse and blood sugar levels. The results of this study will be used as a reference to be able to see whether a person is at risk of diabetes or not based on predetermined attributes.