Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Pengabdian Masyarakat UNIPOL
Aksa, Andi Nurul
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
EFISIENSI KEGIATAN BISNIS MELALUI PEMANFAATAN TEKNOLOGI INFORMASI DI CENRANA KAB. SOPPENG Patappari, Andi; Waru, Misveria Villa; Aksa, Andi Nurul; Azisah, Nurul
Jurnal Pengabdian Masyarakat Universitas Lamappaoleonro Vol 3 No 1 (2024): Jurnal Pengabdian Masyarakat Universitas Lamappapoleonro
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

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

Abstract

Perkembangan berbagai usaha di berbagai aspek kehidupan, terutama di era Society 5.0 menuntut para pelaku bisnis untuk mampu bersaing dalam menerapkan berbagai strategi bisnis. Strategi yang paling utama di era transformasi digital ini yaitu dengan kecakapan dalam penguasaan dan pemanfaatan berbagai perangkat teknologi informasi dalam menjalankan usaha bisnis. Kecakapan dan keterampilan pengelolaan perangkat teknologi informasi tersebut sangat dibutuhkan agar mampu bersaing dengan para pesaing bisnis, baik dengan bentuk usaha yang sama maupun dengan pesaing usaha lainnya agar memiliki tempat khusus di hati para konsumen nantinya. Dengan penguasaan pengetahuan, wawasan dan keterampilan khusus terkait pengelolaan bisnis dengan memanfaatkan teknologi informasi kekinian maka besar harapan bahwa bisnis yang dijalankan berjalan secara optimal dan mampu mencapai tingkat efisiensi yang tinggi dalam mengelola kegiatan bisnis
Analisis Metode Decision Tree dan Regresi Logistik Sebagai Sistem Rekomendasi Kenaikan Golongan Berdasarkan Kinerja Pegawai pada Universitas Lamappapoleonro Aksa, Andi Nurul; Achmad, Andani; Arda, Abdul Latief
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 15 No 1 (2025): Maret 2025
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v15i1.782

Abstract

This research focuses on the importance of employee performance in supporting organizational success, especially in the promotion process at Lamappapoleonro University which is still done manually. Therefore, this research aims to develop a recommendation system for promotion using the Decision Tree and Logistic Regression methods, which is expected to speed up and simplify the decision-making process regarding employee promotions. The Decision Tree algorithm is used to classify employee performance in the form of sufficient, good, and excellent variables, while the Logistic Regression algorithm is used to predict the feasibility of employee promotion with the variable feasible or inappropriate. The data used in this study includes 12 independent variables, such as attendance, discipline, responsibility, and innovative ability. The analysis results show that the Decision Tree and Logistic Regression methods are able to produce accurate predictions, with an accuracy rate of 91.67% and 100% respectively. The main factors that influence promotion are honesty, discipline, and innovation ability. With this recommendation system, the employee promotion process becomes more efficient and accurate, providing significant benefits for human resource management at Lamappapoleonro University.
Co-Authors Abdul Latief Arda Andani Achmad Azisah, Nurul Misveria Villa Waru Patappari, Andi