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All Journal Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) EQIEN - JURNAL EKONOMI DAN BISNIS
Robi Aziz Zuama
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Other

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Employee Performance Apparaisal Using Decision Support System by AHP and TOPSIS Methods Achmad Baroqah Pohan; Sofian Wira Hadi; Syaifur Rahmatullah; Robi Aziz Zuama; Achmad Rifai; Deni Gunawan
JURNAL TEKNIK KOMPUTER Vol 7, No 1 (2021): JTK-Periode Januari 2021
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.867 KB) | DOI: 10.31294/jtk.v7i1.9670

Abstract

During this time the performance appraisal of PT. Injep Inti Cemerlang has not been implemented optimally, especially in employee performance appraisal. Performance appraisal so far  is only determined from the results, there are no clear appraisal criteria. Based on this reason, a decision support system is needed to help find the best alternative for the employees selection. In this research a decision support system for employee performance appraisal will be developed based on Attitude, Responsibility, Attendance, Discipline and Collaboration. This research aims to design a decision support system for employee performance appraisal using data collection methods by observation, interviews and giving questionnaires to employees of PT. Injep Inti Cemerlang. The data collected is carried out the process of analyzing data and looking for weighting values using the AHP method and for ranking using the TOPSIS method, where each criterion is appraisal factors and alternatives in this case employees are compared the criteria that have been weighted through the process of calculating the AHP and TOPSIS method starting from giving the weighting of criteria by calculating with Ms. Excel and calculating with Expert Choice software. The results have been obtained from weighting the next ranking by the TOPSIS method. thus providing a value output that results in a system that employees appraisal. This decision support system helps the employee performance apprasial at PT. Injep Inti Cemerlang in determining the employee who has the best performance
Analisis Performa Algoritma Machine Learning pada Prediksi Penyakit Cerebrovascular Accidents Robi Aziz Zuama; Syaifur Rahmatullah; Yuri Yuliani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3488

Abstract

Cerebrovascular Accidents (stroke) are a disease that threatens and causes death and disability and disability in the world, in Indonesia the number of people affected by stroke is increasing every year. Stroke can be prevented by adopting a healthy lifestyle, eating nutritious food, and doing physical activity. The purpose of this study is to create an effective stroke prediction model, the system uses parameters from lifestyle factors, controllable factors such as medical risk factors, and uncontrollable factors. Four classification algorithms are proposed, namely multi-layer perceptron, KNN, Decision Tree, and Random Forest. The results show that the classification algorithm can work effectively by producing a perfect score of 99.99% accuracy at the 10K-Fold Validation level of validation.
ANALISIS PERFORMA ALGORITMA NAIVE BAYES PADA DETEKSI OTOMATIS CITRA MRI Fajar Akbar; Amin Nur Rais; Irwan Agus Sobari; Robi Aziz Zuama; Biktra Rudiarto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1116.903 KB) | DOI: 10.33480/jitk.v5i1.586

Abstract

The brain in humans becomes part of the central nervous system of the human body. The use of imaging with MRI is one that can be used as a first step to detect parts of the human brain. The imaging step is the first step in diagnosing brain tumor. By performing feature extraction, which aims to process the classification of brain tumors, between normal and abnormal brain images using the naive Bayes method. Obtained 41 images which then became 39 datasets. Feature extraction results with 2 classes, normal as many as 20 data and abnormal data 19. The calculation results obtained the value of the normal class of 0.513 and the abnormal class of 0.487 the value of the calculation accuracy of 84.17%.
PEMILIHAN KARYAWAN TERBAIK PADA BANK DKI DENGAN METODE TOPSIS Syaifur Rahmatullah; Robi Aziz Zuama; Aditia Darmawan
Eqien - Jurnal Ekonomi dan Bisnis Vol 11 No 1 (2022): EQIEN- JURNAL EKONOMI DAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Dr Kh Ez Mutaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.872 KB) | DOI: 10.34308/eqien.v11i1.798

Abstract

The selection of the best employees is very important to be done by the company in order to see the quality of human resources and to increase the productivity and achievement of a company. The problem with Bank DKI is that there is no assessment for the best employees, causing employees to have low work motivation. In the process of selecting the best employee candidates, the company has not used alternative methods to produce the best candidates efficiently and accurately. In supporting these needs, a decision system is needed that can produce a system to facilitate the determination and selection of the best employees through several relevant criteria.
Implementasi Metode Waterfall Dalam Mengembangkan Sistem Informasi Ujian Online Dengan Fitur Proctoring Robi Aziz Zuama; Muhamad Abdul Ghani; Deni Gunawan; Abdul Latif Matihudin
INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics Vol 7 No 2 (2023): INFORMATICS FOR EDUCATORS AND PROFESSIONAL : JOURNAL OF INFORMATICS (Juni 2023)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/itbi.v7i2.2382

Abstract

Sistem ujian online berbasis web dengan fitur pengawasan proctoring telah menjadi tren yang populer dalam lembaga pendidikan dan perguruan tinggi saat ini. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi ujian online yang aman dan terpercaya dengan fitur pengawasan proctoring. Sistem ini memberikan fleksibilitas waktu dan tempat bagi peserta ujian, sambil mengurangi biaya dan upaya administratif yang terkait dengan ujian konvensional. Metode pengembangan Perangkat lunak yang digunakan yaitu waterfall, dengan tahapan analisis kebutuhan, perancangan, implementasi, testing, dan perawatan. Model yang diusulkan mampu mengefisiensikan kegiatan ujian disekolah serta kecurangan dalam ujian dapat di minimalisir.
Co-Authors Abdul Latif Matihudin Achmad Baroqah Pohan Achmad Rifai Aditia Darmawan Amin Nur Rais Biktra Rudiarto Deni Gunawan Fajar Akbar Irwan Agus Sobari Muhamad Abdul Ghani Sofian Wira Hadi Syaifur Rahmatullah Syaifur Rahmatullah Syaifur Rahmatullah Yuliani, Yuri