Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Artificial Intelligence Research Prosiding Seminar Nasional Teknik Mesin
Irwan, Dede
Unknown Affiliation
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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

Found 2 Documents
Search

 1 
Rancang Bangun Model Simulator Bidang Kendali Utama pada Pesawat Fixed-wing Arisandi, Muhammad Fikry Anugrah; Utomo, Reza Anugrah; Nainggolan, Benhur; Irwan, Dede
Seminar Nasional Teknik Mesin 2019: Prosiding Seminar Nasional Teknik Mesin 2019
Publisher : Politeknik Negeri Jakarta

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

Abstract

Primary flight control pada pesawat fixed-wing meliputi: aileron, elevator, dan rudder. Aileron melekat pada trailing edge dari kedua sayap dan ketika bergerak, merupakan bidang kendali pada saat pesawat melakukan roll yang memutar pesawat di sekitar sumbu longitudinal. Elevator terpasang di trailing edge pada horizontal stabilizer. Ketika bergerak, itu mengubah pitch pesawat terbang, yang merupakan bidang kendali pada saat pesawat melakukan pitch yang bertumpu pada sumbu lateral. Rudder menempel di trailing edge vertical stabilizer . Ketika rudder berubah posisi, pesawat berputar sekitar sumbu vertikal (yaw). Pergerakan primary flight control ini agak sulit dipahami saat belajar system control, sehingga perlu ada alat peraga. Model simulator bidang kemudi utama ini dibuat dengan menggunakan alat dan bahan yang tidak sama dengan yang ada di pesawat terbang, namun Fungsinya dapat mewakilkan yang ada di pesawat. Tujuan dari pelaksanaan tugas akhir ini adalah merancang suatu model simulator yang dapat menggambarkan cara kerja bidang kemudia utama secara sistem dan komponen secara sederhana.
AI-Driven Personalized Design: Adapting Building Interior Design Based on User Preferences Irwan, Dede
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1486

Abstract

The adoption of Artificial Intelligence (AI) increases efficiency in the design industry. However, the implementation of AI is not entirely received positively by designers. This study aims to explore the application of AI technology in personalizing building interior design based on user preferences. A qualitative approach was employed using the design thinking method. Data were collected through in-depth interviews with product and graphic designers and subsequently validated by experts in the field of AI. The results of this study indicate that the integration of AI in interior design based on user preferences can assist designers in generating more personalized, efficient, and client-specific design recommendations. AI has proven capable of processing both explicit and implicit preference data to predict optimal layouts, color selections, materials, and lighting. However, this study also found several significant challenges, such as inconsistent data quality, limitations of algorithms in understanding subjective and emotional aspects, and concerns regarding user data privacy. Nonetheless, the use of AI in interior design still offers great opportunities to create spaces that are more functional, innovative, and adaptive to the evolving lifestyles of their occupants.
Co-Authors Arisandi, Muhammad Fikry Anugrah Nainggolan, Benhur Ramli Rudy Tandra Utomo, Reza Anugrah