Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal Business UHO: Jurnal Administrasi Bisnis Journal of Applied Electrical Engineering
Pratama, Adhitya
Unknown Affiliation
Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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

Found 2 Documents
Search

 1 
Pengaruh Modal Dan Tenaga Kerja Terhadap Pendapatan Industri Koran (Studi Kasus Pada PT. Media Kita Sejahtera Kota Kendari) Pratama, Adhitya; Aminuddin, Aminuddin; Idrus, Siti Hairani
Business UHO: Jurnal Administrasi Bisnis Vol 8, No 2 (2023):
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52423/bujab.v8i2.46720

Abstract

Menganalisis dampak tenaga kerja dan modal terhadap pendapatan bisnis surat kabar adalah tujuan dari proyek penelitian ini. Semua 40 partisipan dalam penelitian ini adalah pekerja tetap PT Media Kita Sejahtera Kota Kendari. Sampling jenuh adalah metodologi yang dimanfaatkan untuk metodologi kuantitatif asosiatif dan analisis regresi linier berganda. Temuan penelitian membuktikan bahwa tenaga kerja memiliki dampak besar pada pendapatan industri surat kabar sedangkan modal memiliki dampak substansial pada pendapatan pada tingkat yang lebih rendah. Hal ini menunjukkan bahwa tenaga kerja dan modal memiliki peran penting dalam profitabilitas bisnis surat kabar. Karena semua variabel independen dapat menyumbang 29,3% dari variabel dependen, maka nilai adjusted R square ialah 0,293. Sementara variabel lain yang tidak terdapat ialah 70,7% sisanya.
A Visual-Based Pick and Place on 6 DoF Robot Manipulator Wijaya, Ryan Satria; Pratama, Adhitya; Fatekha, Rifqi Amalya; Soebhakti, Hendawan; Prayoga, Senanjung
Journal of Applied Electrical Engineering Vol 8 No 1 (2024): JAEE, June 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i1.7358

Abstract

This paper discusses the application of visual servoing on a 6 DOF robotic manipulator for industrial automation. With visual feedback, the manipulator can perform pick and place operations accurately and efficiently. We explore feature- and model-based visual servoing methods and object detection techniques, including deep learning algorithms. The experimental results show that the integration of visual servoing with pick and place method as well as object detection improves the performance of manipulators in industry. This research contributes to the understanding of visual servoing technology in industrial automation. The conclusion shows that the manipulator is more precise in controlling the X-axis shift in the first two experiments, but faces challenges in the third experiment. The success of the system is affected by environmental factors such as lighting. For further development, research is recommended to improve robustness to environmental variations as well as evaluation of execution speed and object positioning accuracy.
Co-Authors Aminuddin Aminuddin Fatekha, Rifqi Amalya Idrus, Siti Hairani Prayoga, Senanjung Soebhakti, Hendawan WIJAYA, RYAN SATRIA