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Sri Rezeki Candra Nursari
Pancasila University
Computer Science & IT

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Decision Support System for Final Assignment with Analytical Hierarchy Process (AHP) Method. Case Study: Informatics Engineering Faculty of Engineering, Pancasila University Sri Rezeki Candra Nursari; Virgie Sciorra
bit-Tech Vol. 1 No. 1 (2018): First Impression on Computing
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.569 KB) | DOI: 10.32877/bt.v1i1.7

Abstract

In human life always faced with several choices. The right decision making will affect our lives in the future. In the bachelor degree program education Final Project is the closing course to get a Bachelor's degree. Many things need to be considered in determining the appropriate TA topic. Many people have a view, choose the topic of Final Assignment that is easy so easy, regardless of suitability with interests and talents. Actually this view needs to be reviewed because choosing the topic of Final Assignment has a significant impact on the lives of these students in the future. To determine the topic of Final Assignment in the Informatics Engineering Faculty of Engineering, the Pancasila University required mastering criteria, mastering memorization, mastering the count, mastering the design, value, and areas of interest. And has an alternative, namely Information Systems, Decision Support Systems using methods, Intelligent Systems/Expert Systems, Networks, Mobile Programming (Games), Mobile Programming (Applications), Use of Algorithms in Support Systems / Applications of this Decree using Analytic Hierarchy Process method for determine the exact topic of Final Assignment according to the ability of students. The AHP method refers to taking selected elective courses
Decision Support System for Employee Performance Evaluation with Promethe Method. Case Study: Faculty of Engineering, Pancasila University Sri Rezeki Candra Nursari; Amir Murtako
bit-Tech Vol. 3 No. 1 (2020): Distance Learning
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v3i1.170

Abstract

High competent human resources can support the level of performance, by conducting performance evaluation assessments it will be known the achievements of each employee. Assessment of employee performance evaluation carried out by the Faculty of Engineering, University of Pancasila uses criteria of diligence, teamwork, sincerity to work, skills, initiative, independence and attendance. In this study, the authors used the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to assist in making employee performance evaluation decisions, so that it can be seen which employees get the reward with good performance. The data used is in the form of employee performance evaluation data using six stages of the PROMETHEE method.
Face Duplication Identifier Using Artificial Nerves Sri Rezeki Candra Nursari; Rizki Rahmatunisa
bit-Tech : Binary Digital - Technology Vol. 6 No. 1 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i1.899

Abstract

The facial recognition system develops a basic identity verification system based on the natural features of human faces. The study included duplicate passport identification, which checks each person's facial accuracy through a sample of facial data. The data used in this study were 180 face samples at the training stage and 30 face samples at the testing stage. The face sample taken is a forward-facing face that is not obstructed by an object. Face image recognition in this study combines GLCM method, color moment, shape extraction and backpropagation algorithm. The test process recognition rate is 78.83%.
Co-Authors Amir Murtako Rizki Rahmatunisa Virgie Sciorra