Portfolio
Check out my featured projects
GA-SARIMA Tourist Prediction
The machine learning model to forecast tourist arrivals in Kuningan Regency by integrating the SARIMA time series model with a Genetic Algorithm for parameter optimization. This hybrid approach significantly improved forecasting accuracy, achieving a MAPE of 11.07%. The project utilized Python with Statsmodels, Scikit-learn, and the DEAP library.
Sentiment Analysis: 'Vina: Sebelum 7 Hari'
The sentiment analysis model for the film Vina: Sebelum 7 Hari using a hybrid approach that combined Support Vector Machine (SVM) with Particle Swarm Optimization (PSO) for enhanced performance. The model achieved an accuracy of 83.04%, leveraging Python, Scikit-learn, Sastrawi for text preprocessing, and TfidfVectorizer for feature extraction.
MEDAL – Medical Reminder Application
The mobile application designed to enhance medication adherence among outpatients. The app features medication reminders, searchable medication information, visit scheduling, doctor contact integration, and health tracking capabilities. Full functionality was confirmed through black-box testing. The application was built using Flutter, with Firebase for backend services, GetX for state management, Flutter Local Notifications, Shared Preferences, and Google Sign-In for authentication.
PKBM Rawa Cinde Attandance App
The mobile application to manage tutor and learner attendance, featuring scheduled check-ins, password-protected sessions, user authentication, real-time attendance logging, CSV export, and data sharing capabilities. The app was built using Flutter, with Firebase as the backend, and integrated libraries such as Intl, CSV, and Share Plus to support localization, data export, and sharing functions.
ATOURIN – Travel Itinerary Website
The travel itinerary web application designed to help domestic travelers plan personalized trips, including destinations, transportation, schedules, and interactive social features such as likes and comments. The system also included an admin panel for managing users and itineraries. Functionality and reliability were validated through black-box testing. The project was built using Laravel 11, PHP, MySQL, HTML, CSS, JavaScript, and Bootstrap 5.
NOLICO – Task, Note, and Contact Management
The web application for managing tasks, notes, and contacts. The platform allows users to register, log in, and organize their data through labeling and categorization features. It also includes user profile editing and an admin dashboard for managing user accounts. The project was built using PHP, MySQL, HTML, CSS, JavaScript, and Bootstrap 5.
About Me
Building Intelligent Systems, Crafting Robust Solutions
3.90
Current GPA
6+
Projects
5+
Certifications
I am a passionate Informatics student at Universitas Jenderal Soedirman with dual expertise in AI/Data Science and Full-Stack Development. My technical journey spans from building predictive models to developing production-ready web and mobile applications.
In AI/Data Science, I've developed optimized forecasting models like GA-SARIMA for tourism prediction (11.07% MAPE) and hybrid SVM-PSO for sentiment analysis. As a developer, I've built government CMS systems with Laravel, medication reminder apps with Flutter, and managed WordPress platforms - all while maintaining a 3.90 GPA.
This unique combination allows me to not only extract insights from data but also implement them as scalable solutions through clean, maintainable code following MVC architecture and RESTful principles.
Name Luthfi Arie Zulfikri
Roles AI Developer | Full-Stack Engineer
Technical Domains Machine Learning • Laravel • Flutter • Data Visualization
Location Kuningan, Indonesia
Machine Learning & AI
Expertise in supervised and unsupervised learning, optimization, and model deployment.
Data Analysis & Visualization
Strong analytical skills with Python, Seaborn, and Matplotlib for data-driven insights.
Web Development
Built government websites, travel itinerary platforms, and CMS systems using Laravel, Bootstrap 5, and WordPress with MySQL databases.
Mobile Development
Created medication reminder and attendance management apps with Flutter, implementing notifications, authentication, and Firebase integration.
Resume
Education and Practical Experience
My Education
Bachelor of Informatics
GPA: 3.90/4.00
Specializing in Data Science, AI, and
Web Development.
Internship Experience
Information Technology Intern
Developed a tourist prediction model using GA-SARIMA, achieving a MAPE of 11.07%. Managed and published 60 datasets on OpenData Kuningan and 25 statistical metadata on Indonesia Data Hub.
Certifications & Training
Supervised Machine Learning: Regression and Classification
Course by Deeplearning.ai & Stanford Online
Proficient in building machine learning models with Python,
focusing on supervised learning, prediction, and
classification.
Verification
Mathematics for Machine Learning and Data Science Specialization
Course by Deeplearning.ai
Gained a deep understanding of the mathematics behind ML
algorithms and statistical techniques for data analysis.
Verification
Programming in C++: A Hands-on Introduction Specialization
Course by Codio
Developed automation skills with C++, built graphical
programs, and gained a strong foundation in core Computer
Science concepts.
Verification
My Favourite Tools
Python
TensorFlow
Scikit-learn
Keras
Matlab
MySQL
Firebase
Laravel
Bootstrap
Flutter
Contact
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