Ronny Dominikus Munthe
About Me
I’m a fresh graudate from Diponegoro University. I’m interested in data science, especially working on AI. I also have experience in realizing machine learning using R and Python with Scikit-learn, Pandas, or some Python packages like that. I also have experience in deep learning using Tensorflow and Keras.
Education
Universitas Diponegoro
Successfully completed a comprehensive curriculum in computer science.Developed a solid understanding of data science principles and techniques through hands-on projects and case studies. Graduated with a GPA of 3.63, receiving recognition for academic excellence.
Work & Experience
AI and System Developer
PT Pindad
- Build a web-based system with MySQL as DBMS that can capture frames using three cameras. - Create datasets by storing camera captures according to their defects which will be classified into four categories (Critical, Major, Minor, Good). - Build a model using CNN (Convolutional Neural Network) with transfer learning mechanisms such as MobileNetV1, MobileNetV2, AlexNet, ResNet, etc. - Deploy the best trained model using Tensorflow.js into the website application. - Forward the classification results data stored in the DBMS to the Raspberry microcontroller using the MQTT (Message Queuing Telemetry Transport) protocol to move the actuator and sort the bullet according to its defect
Research Assistant
Rumah Sakit Kanker "Dharmais"
- Build a model to classify video to assess surgical skills consisting of three skills: Knot-tying, Suturing, and Needle Passing. The CNN-GRU architecture is used in its execution. Where CNN is used to perform feature extraction, transfer learning using the inception V3 model is used in performing feature extraction. Further, the result of feature extraction will be used as input into the RNN for classification, which is classified into three classifications: Novice (N), Intermediate (I), and Expert (E). - Drafting Intellectual property rights. - Drafting paper for the publication.
AI and System Developer
Dinas Pariwisata Kab Alor
- Building an image segmentation model using K-Means Clustering and Fuzzy C-Means Clustering to detect Upwelling Areas
Full Stack Developer
PT Undip Citra Ciptaprima
Develop the BatangCareer application by adding a learning management system feature involving two types of users: admin and talent. Where the admin can create, edit, and delete from a training, section, question, and its options. And the talent can view the list and description of learning, purchase learning, access learning, and take quizzes.
IT Support
PT Undip Citra Ciptaprima
- Inputing job listing on the Undip Career Center website during "Undip Preparation Class" event. - Analyzing data in the Batang Career Application databases. - Analyzing the Batang Career website about the shortcomings of the application
Lecturer Assistant
Universitas Diponegoro
- Support lecturer in carrying out research or teaching projects. - Conduct data search and collection, analyze data, and create research or teaching reports. - Maintain good relationships with project stakeholders. • Complete project-related tasks according to the schedule that has been determined. - Attend project meetings and assist lecturers in presenting project results.
Laboratory Assistant
Universitas Diponegoro
1. Laboratory Assistant Machine Learning • Assisting the lecturer in conducting practical sessions, mentoring, and discussing with 23 informatics students about machine learning, starting from the introduction to machine learning, supervised and unsupervised learning, feature extraction, and an introduction to deep learning using Google Colab. 2. Laboratory Assistant Data Mining • Assisting the lecturer in conducting practical sessions, mentoring, and discussing with 102 informatics students about data mining, starting from business understanding, data cleansing and preparation, EDA (Exploratory Data Analysis), encoding, building a model, and evaluating the results using Google Colab. 3. Laboratory Assistant Fundamental System • Assisting the lecturer in conducting practical sessions, mentoring, and discussing with 32 informatics students about the basics of systems using DSCH and introduction to HTML and CSS. 4. Laboratory Assistant Database Management • Assisting the lecturer in conducting practical sessions, mentoring, and discussing with 48 informatics students about database management, starting from creating databases and tables, store procedures, and indexing using SQL Server.
