Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Journal of Technology Informatics and Engineering PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC)
Chen, Michael
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Education Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
ANALISIS KEPUASAN PELANGGAN DAN KUALITAS PELAYANAN PADA PENGGUNA TRANSPORTASI ONLINE MAXIM Liana, Liana; Yinna, Yinna; Chen, Michael; Rahmah, Fany
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 2 No. 1 (2024): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.572349/neraca.v2i1.655

Abstract

This research aims to determine customer satisfaction and the quality of consumer service when using online transportation service application, Maxim. This research is quantitative research by conducting a survey using a questionnaire research instrument. The data used is primary data obtained by distributing questionnaires online to Maxim users in the city of Medan using accidental sampling techniques to 30 respondents. The research results show that the majority of respondents are satisfied with Maxim's services. Most respondents felt their hopes and desires were met, would not hesitate to use Maxim again, and were willing to recommend it to others. Respondents also assessed that Maxim was quite punctual, safe and used a suitable vehicle.
The Influence of Social Media Influencers and Café Atmosphere on Purchase Decision at Café T1311 Medan Chen, Michael; Dedy Lazuardi
PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC) Vol. 2 (2023): Regional Economics Development and Business Transformation in the Digital Era
Publisher : Sekolah Tinggi Ilmu Ekonomi Eka Prasetya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47663/ibec.v2i1.85

Abstract

The primary objective of this study is to investigate how social media influencers and the ambiance of Café T1311 Medan impact customers' purchasing decisions. This research falls under the category of quantitative research. The research population comprised Café T1311 Medan customers, and a sample of 100 respondents was chosen using accidental sampling methods. Data collection involved the use of questionnaires, interviews, and the examination of relevant documents. Subsequently, the collected data was processed and analyzed using multiple linear regression analysis. The findings demonstrated that both Social Media Influencers (X1) and Café Atmosphere (X2) had a positive and significant partial and combined effect on Purchasing Decisions (Y). The results of the coefficient of determination (R2) test suggest a relationship between the variables Social Media Influencers (X1) and Café Atmosphere (X2) and Purchase Decisions (Y) at Café T1311 Medan. Café T1311 Medan is expected to continue utilizing Social Media Influencers (X1) as a promotional tool for the café and to sustain the café atmosphere (X2). This involves maintaining various aspects of café facilities, ensuring cleanliness, and periodically updating the café's interior design in alignment with emerging trends. These efforts aim to create a comfortable and enjoyable dining experience for consumers.
Adaptive Control of Autonomous Mobile Robots Using Fuzzy Logic Based PID Optimization Almeida, Sofia; Chen, Michael
Journal of Technology Informatics and Engineering Vol. 4 No. 3 (2025): DECEMBER | JTIE : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v4i3.454

Abstract

Autonomous mobile robots require precise navigation and stability in dynamic environments, where traditional control methods often fail to balance accuracy, responsiveness, and robustness. This study proposes an adaptive fuzzy–PID control framework to optimize real-time trajectory tracking and disturbance rejection. The approach integrates a fuzzy inference system with adaptive proportional integral–derivative (PID) gain tuning, enabling continuous adjustment of control parameters based on instantaneous tracking error and error rate. The methodology combines MATLAB/Simulink and ROS Gazebo simulations with physical experiments on a differential-drive mobile robot equipped with LiDAR, inertial sensors, and high-resolution wheel encoders. Results demonstrate that the adaptive fuzzy–PID controller reduced overshoot by 42%, shortened settling time by 35%, and maintained a steady-state lateral error below 1 cm and heading deviation under 0.5°, outperforming classical PID and conventional fuzzy-PID schemes. These findings confirm robust adaptation to nonlinear dynamics and unexpected disturbances without significant computational overhead. The proposed framework emphasizes interpretability and practical applicability, providing insights for multi-robot coordination, self-driving vehicles, and industrial or service robotics where reliability and safety are critical.
Co-Authors Almeida, Sofia Dedy Lazuardi Liana Liana Rahmah, Fany Yinna, Yinna