Yusuf Athallah Adriyansyah

Artificial intelligence engineer with high logical thinking, problem-solving, and efficient. Proficient in image processing, data science, machine learning, Python, Java, C++, and more.

• GOLD MEDAL
  EARLY SKIN DISEASE DIAGNOSIS BY USING ARTIFICIAL NEURAL NETWORK
  SCIENCE AND TECHNOLOGY EXPO (SCITEX 2024)
  UNIVERSITI SAINS ISLAM MALAYSIA
  FACULTY OF SCIENCE AND TECHNOLOGY
  29 NOVEMBER 2024

• Realtime Traffic Sign Recognition Using Integrated Camera Sensors and YoloV8
  Algorithm
  Yusuf Athallah Adriyansyah and Alfiana Ramadhani
  Dinamika Rekayasa, Vol. 20, No. 1, pp. 45-51
• Image-Based Harvesting Decision System for Palm Oil's Fresh Fruit Bunch (FFB)
  Final Year Student Project (unpublished)
  Dept. of Intelligent Computing and Analytics
  Faculty of Information & Communication Technology
  Universiti Teknikal Malaysia Melaka, Malaysia
• Fuzzy C Means Algorithm for Predicting Student Graduation Timeliness in the
  Department of Electrical Engineering of Sebelas Maret University
  The 8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering 2023
  (ICIMECE 2023)
  30 October 2023 Lombok, Indonesia

• DCSE Summer Course on AI and Robotics 2024: Smart City Development to Support Sustainable Cities and Communities, 07/24/24 - 08/03/24
• ArcGIS course (basic), 07/01/23 - Present
• Python course, 07/01/21 - 12/31/21
• IELTS Preparation course, 10/01/21 - 12/31/21
• TOEFL Preparation course, 01/01/21 - 07/31/21

• Public Car Wash of an Android-Based Application
  Date: September 2023 to March 2024
  Faculty Supervisor: Dr. Zulisman Bin Maksom
  Department of Interactive Media
  Faculty of Information & Communication Technology
  Universiti Teknikal Malaysia Melaka, Malaysia
  Industry Supervisor: Assoc. Prof. Dr. Zainidan bin Sahdan
  Managing Director
  Ittihad Maju Jaya Sdn Bhd Malaysia
  Short description of the project:
  The Public Car Wash project focuses on developing an Android-based application that provides convenient, efficient, and user-friendly car washing services for the public. The application connects car owners with local car wash service providers, simplifying the booking process, enhancing customer experience, and supporting local businesses.
• Image-Based Harvesting Decision System for Palm Oil's Fresh Fruit Bunch (FFB)
  – Final Year Project for bachelor’s degree
  Date: March 2023 to October 2023
  Supervisor: Ts. Dr. Sazalinsyah Bin Razali
  Dept. of Intelligent Computing and Analytics
  Faculty of Information & Communication Technology
  Universiti Teknikal Malaysia Melaka, Malaysia
  Short description of the project:
  The project aims are to develop a cutting-edge system that utilizes image processing and machine learning techniques to determine the optimal harvesting time for palm oil FFBs. By analyzing images of the fruit bunches, the system can accurately assess their ripeness, ensuring that harvesting is performed at the peak time for maximum oil yield and quality. This project not only enhances efficiency and accuracy in the palm oil industry but also reduces labor costs and minimizes human error, ultimately contributing to more sustainable and profitable agricultural practices.
• Mobile Application Skin Disease Detector
  Date: March 2023 to July 2023
  Supervisor: Ts. Dr. Wan Mohd Ya'akob Wan Bejuri
  Dept. of Intelligent Computing and Analytics
  Faculty of Information & Communication Technology
  Universiti Teknikal Malaysia Melaka, Malaysia
  Short description of the project:
  The project aims are to develop an innovative mobile app that utilizes advanced image recognition and machine learning algorithms to identify various skin diseases. By allowing users to capture images of their skin conditions and receive instant analysis, the app provides a convenient, accessible, and cost-effective solution for early detection and diagnosis of skin diseases. This project seeks to empower individuals with timely information, potentially reducing the need for immediate medical consultations and enabling prompt treatment, thereby enhancing overall skin health and contributing to better healthcare outcomes.
• Hotel Room Reservation
  Date: July 2021 to December 2021
  Supervisor: Assoc. Prof. GS. Dr. Asmala Ahmad
  Dept. of Intelligent Computing and Analytics
  Faculty of Information & Communication Technology
  Universiti Teknikal Malaysia Melaka, Malaysia
  Short description of the project:
  The project aims are involves developing a comprehensive and user-friendly platform that simplifies the booking process for hotel rooms. The system integrates features such as real-time availability, room selection, secure payment gateways, and customer reviews to enhance the booking experience for travelers. Additionally, it offers hotel managers an intuitive interface to manage reservations, update room availability, and monitor guest feedback. This project aims to streamline the reservation process, improve customer satisfaction, and increase operational efficiency for hotels, ultimately contributing to the hospitality industry's growth and innovation.

SCIENCE AND TECHNOLOGY EXPO (SCITEX 2024): EARLY SKIN DISEASE DIAGNOSIS BY USING ARTIFICIAL NEURAL NETWORK