Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Mirai Management Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Armada Informatika Jurnal Ekonomi, Akuntasi dan Manajemen Indonesia(JEAMI)
Feriani Astuti Tarigan
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pengaruh Budaya Organisasi dan Disiplin Kerja Terhadap Kinerja Karyawan di PT. Cahaya Anugerah Bahari Wina Sartika; Feriani Astuti Tarigan
Jurnal Mirai Management Vol 7, No 2 (2022)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v7i2.2709

Abstract

Budaya organisasi dan disiplin kerja dapat mempengaruhi kinerja pada setiap individu dalam suatu perusahaan. Semakin baik organisasi dan disiplin kerja maka akan meningkatkan kinerja karyawan. Penelitian ini bertujuan untuk menguji pengaruh budaya organisasi dan disiplin kerja terhadap kinerja karyawan di PT. Cahaya Anugerah Bahari. Penelitian ini dilakukan pada karyawan yang bekerja di di PT. Cahaya Anugerah Bahari. Metode yang digunakan pada penelitian ini adalah metode kuantitatif. Sumber data yang digunakan pada penelitian ini adalah sumber data primer. Adapun teknik pengumpulan data yang digunakan adalah kuesioner. Populasi dari penelitian ini adalah seluruh karyawan di PT. Cahaya Anugerah Bahari. Metode yang digunakan dalam penelitian ini adalah uji hipotesis untuk mengetahui pengaruh parsial dengan menggunakan uji-t dan uji-f untuk mengetahui pengaruh secara simultan antara variabel budaya organisasi (X1) dan disiplin kerja (X2) terhadap kinerja karyawan (Y) pada PT. Cahaya Anugerah Bahari. Dari perspektif variabel budaya organisasi, disiplin kerja dan kinerja karyawan, pengaruh koefisien determinasi (R2) pada model regresi adalah 36,9%, sedangkan signifikansi uji-t untuk variabel budaya organisasi didapat nilai ρ value < Sig.0,05 atau (0,022 < 0,050) begitu juga dengan variabel disiplin kerja didapat nilai ρ value < Sig.0,05 atau (0,000 < 0,05), masing-masing variabel mempunyai pengaruh yang signifikan terhadap kinerja karyawan. Hasil uji F sebesar 9,064 > 3,303 dan signifikansinya 0,001 < 0,05 yang menunjukkan bahwa variabel budaya organisasi dan disiplin kerja berpengaruh signifikan terhadap kinerja karyawan pada waktu yang bersamaan. Kata Kunci: Budaya Organisasi, Disiplin Kerja, Kinerja Karyawan
Sistem Promosi Karyawan Dengan Metode Adaptive Neuro Fuzzy Inference System Studi Kasus: Firma Indomas Feriani Astuti Tarigan; Hendri; Leony Hoki; Edi
Jurnal Armada Informatika Vol 8 No 1 (2024): Jurnal Armada Informatika
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v8i1.96

Abstract

Untuk menyelesaikan permasalahan tersebut, maka dapat diterapkan metode sistem pendukung keputusan. Salah satu metode yang dapat digunakan adalah metode Adaptive Neuro Fuzzy Inference System. Penelitian ini bertujuan untuk mengembangkan sistem informasi terkomputerisasi yang mencakup proses pencatatan data dan penyusunan laporan. Tools yang digunakan untuk melakukan analisis dan desain adalah data flow diagram. Sedangkan, bahasa pemrograman yang digunakan untuk merancang sistem adalah bahasa VB.NET dan database menggunakan aplikasi SQL Server sebagai database engine. Hasil dari penelitian ini adalah sistem pendukung keputusan yang terkomputerisasi yang dapat digunakan untuk menentukan proses promosi karyawan.
Comparison of XGBoost and Naive Bayes Models in Type 2 Diabetes Prediction with RFE Feature Selection Barus, Hanisa putri; Robet; Feriani Astuti Tarigan
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15509

Abstract

Type 2 diabetes mellitus is a chronic disease with an increasing prevalence rate that can cause serious complications if not detected early. The application of machine learning algorithms can aid prediction, but selecting the right model and features greatly determines the accuracy of the results. This study aims to compare the performance of the Extreme Gradient Boosting (XGBoost) and Naive Bayes algorithms in predicting type 2 diabetes with and without Recursive Feature Elimination (RFE) feature selection. The data used were from the UCI Machine Learning Repository, comprising 768 samples and eight clinical features. The research process included data preprocessing, dividing the data into 614 training data and 154 testing data, applying RFE to select the most influential features, model training, and evaluation using accuracy, precision, recall, F1-score, and AUC. The results show that Naive Bayes without RFE achieves 70.77% accuracy, 0.57377 precision, 0.648148 recall, F1-score 0.608696, and 0.772778 AUC, while Naive Bayes with RFE increases the accuracy to 74.02% and the AUC to 0.793333. Meanwhile, XGBoost with RFE provided the best results with an accuracy of 74.67%, precision of 0.653061, recall of 0.592593, F1-score of 0.621359, and the highest AUC of 0.804259. Besides, applying RFE also improves the computational efficiency. These findings indicate that applying RFE significantly improves classification and computation time performance. The practical implication is that this model could aid early detection of diabetes in clinical settings. Further research can be conducted by optimizing parameters and using more diverse datasets.
The Influence of Organizational Citizenship Behavior, Workload, and Compensation on Turnover Intention at CV. Maju Bersama Kisaran Feriani Astuti Tarigan; Robin, Robin; Philip, Philip
Jurnal Ekonomi, Akuntasi dan manajemen Indonesia (JEAMI) Vol. 4 No. 02 (2026): Jurnal Ekonomi, Akuntasi dan Manajemen Indonesia (JEAMI) 2026
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study was to determine the effect of organizational citizenship behavior, workload, and compensation on turnover intention at CV. Maju Bersama Kisaran. The research methodology used was a quantitative descriptive method. The type of data used in this study was quantitative data, namely data obtained in the form of numbers. The data sources consisted of primary data and secondary data. Primary data were obtained through questionnaires distributed to respondents, while secondary data were obtained from documents and literature related to the research problem. The population in this study consisted of all 79 employees working at CV. Maju Bersama Kisaran. Since the population only consisted of 79 employees, the sampling technique used was saturated sampling, where the entire population was used as the research sample. Based on the results of the study, it can be concluded that organizational citizenship behavior had a negative and significant effect on turnover intention, while workload had a positive and significant effect on employee turnover intention at CV. Maju Bersama Kisaran. In addition, compensation also affected turnover intention, and organizational citizenship behavior, workload, and compensation simultaneously affected employee turnover intention at CV. Maju Bersama Kisaran. The company is expected to use the results of this study as evaluation material to improve organizational citizenship behavior, manage workload proportionally, and improve the compensation system in order to reduce employee turnover intention.
Co-Authors Barus, Hanisa putri Edi ENDRI ENDRI Leony Hoki Philip, Philip Robet Robet Robin Robin, Robin Wina Sartika