Dila Ayu Prastita

Institut Teknologi Sumatera

Undergraduate Informatics Engineering

Study Program / Major: Informatics Engineering

Cumulative GPA: 3.66/4.00

Field of interest: Data Analyst, AI/ML Engineer, UI/UX Designer

Relevant Coursework:

• Artificial Intelligence
• Machine Learning
• Data Warehouse/Data Mining
• Knowledge Representation and Reasoning
• Probability and Statistics
• Data and Information Visualization
• Fundamentals of Software Engineering
• Information Systems
• Advanced Information System
• Socio Informatics and Professional Ethics
• Web Programming
• Database
• Database Technology
• Geographical Information Systems

PT. Lampung Berkah Finansial Teknologi (Lahan Sikam)

Management Information System (MIS)

• Analyzed company operational and financial data using Microsoft Excel and SQL.
• Designed and built interactive dashboards using Tableau to visualize KPIs, business performance trends, and other data insights in real time.
• Developed a machine learning-based long-term business ceiling prediction model using Python, using the xgboost model and the numpy, matplotlib, and scikit learn libraries for financial projections.
• Designed and implemented an Artificial Intelligence-based company chatbot to answer customer questions

Skill : Data Analysis, Python (Programming Language), Artificial Intelligence (AI), Tableau, Excel

Seminar Nasional Teknologi Komputer & Sains (SAINTEKS) 2025

Presenter and Best Paper

• Represented the Sumatra Institute of Technology (ITERA) at a national scientific seminar.
• Presented research results: "Comparative Analysis of CNN Methods for Color Detection in Objects".
• Received an award for Best Paper from the national seminar committee.
• Research recommended for publication in a SINTA 4-indexed journal. Demonstrated competence in AI research, particularly deep learning, using Python and research data analysis.

Skill : Data Analysis, Python (Programming Language), Deep Learning, Research & Experimentation, Scientific Writing, Public Speaking / Presentation

Achievement : Best Paper Award Recipient and Research Recommended for Publication (SINTA-4)

Himpunan Mahasiswa Teknik Informatika

1. Head of Development & Training Division Professionalism

• Leadership and Strategy: Setting the strategic direction of the division and organizing activity schedules, Allocating resources, Leading and motivating the team.
• Program Development and Management: Supervise the organization of seminars/webinars, Manage final project exhibitions, Facilitate project and technology discussions, Coordinate workshop development.
• External Relations and Collaboration: Building relationships with industry professionals, Maintaining communication with other departments.

2. Staff of Development & Training Division Professionalism

• Organize seminars/webinar on technology.
• Held an exhibition of the final project of Itera informatics graduates.
• Provides a platform to discuss together about projects and the world of technology.
• Holding workshops on technology themes such as html, css, and github.

Skill : Leadership, Communication, Public Speaking, Presentations, Teamwork

Institut Teknologi Sumatera

1. Laboratory Assistant for Human-Computer Interaction Course

• Guided students in understanding fundamental principles of User Interface (UI) and User Experience (UX) design.
• Provided tutorials on using design tools like Figma, Adobe XD, or similar platforms to create interactive prototypes.
• Assisted students in analyzing and evaluating the usability of existing digital interfaces.
• Delivered hands-on sessions to teach wireframing, prototyping, and user testing methodologies.
• Facilitated group projects by mentoring teams in implementing effective UI/UX designs.
• Supported lecturers in conducting workshops and practical sessions on human-centered design approaches.
• Reviewed and provided constructive feedback on student UI/UX design assignments and projects.

2. Computer Lab II

• Guide students in grasping foundational and advanced concepts of C++ programming.
• Explain syntax, control structures, function usage, and Object-Oriented Programming (OOP) principles in C++.
• Support lecturers or instructors during practical sessions by providing demonstrations and detailed explanations when needed.
• Assist students in troubleshooting technical issues related to computers and software in the laboratory.

3. Computer Lab I

• Assist lecturers in guiding and supporting learning activities such as answering questions, discussing with students, helping and overcoming obstacles encountered during practicum sessions.
• Assist or guide students in effectively utilizing Microsoft Word and Excel.
• Offer tutorials or support on both basic and advanced features of Word and Excel.
• Support students in understanding and completing assignments or projects involving Microsoft Word and Excel.

Skill : User Interface Design, User Experience, Figma, Mentoring, C++, Microsoft Word, Microsoft Excel

PT Perkebunan Nusantara I Regional 7

Back-End Engineer

• Integrating the GEMINI API with the Telegram chatbot to create responsive and human-like interactions.
• Analyzing system requirements and designing technical solutions for the integration of the GEMINI API with the chatbot.
• Using Python and related libraries to build and develop a system that can access and process data from the company’s database.
• Testing and evaluation to ensure the chatbot can answer employee questions accurately and quickly.
• Identifying and analyzing relevant data from the company’s database to support the development of the chatbot.
• Providing data-driven insights and recommendations to improve the chatbot’s ability to provide accurate responses.
• Processing raw data by applying SQL logic and then visualizing it.
• Developing and ensuring backend connectivity to effectively connect the chatbot system with the company’s database.
• Ensuring effective communication between the chatbot and the database.
• Identifying and resolving bugs or issues within the chatbot system to improve overall quality and performance.

Skill : API Development, Python (Programming Language), Back-End Development, MySQL, Laravel

PEMIRA KM ITERA 2022

Staff of Voting at Implementation Technology Division

• Designing a web appearance using figma which contains student presidential election activities of the Sumatra Institute of Technology.

Skill : Figma, Communication, Teamwork

Program Pengenalan Lingkungan Kampus (PPLK) ITERA 2022

Staff of Content Research at Implementation Technology Division

• Search, analyze, and process data/information to be used in website or application.

Skill : Data analyze, Analytical Skills

Analysis and Visualization Dashboard Using Tableau

I analyzed the company's operational and financial data using Microsoft Excel and SQL to identify patterns, trends, and potential efficiencies. I then visualized the results of this analysis through an interactive dashboard built using Tableau. This dashboard displays various Key Performance Indicators (KPIs), business performance trends, and other data insights in real time, supporting faster, data-driven decision-making.

Note : All numerical data in dashboards have been blurred and charts have been manipulated to maintain data confidentiality.

Long-Term Business Ceiling Prediction using Machine Learning

I developed a predictive model to estimate long-term business ceilings using a machine learning approach. The model was built in Python, utilizing the XGBoost algorithm and libraries such as NumPy, Matplotlib, and Scikit-learn for data cleaning, model training, performance evaluation, and result visualization. This model achieved a prediction accuracy of 81%, demonstrating its reliable performance in providing long-term financial projection estimates. The results of these predictions are used to support data-driven strategic business decision-making.

Note : All numerical data in dashboards have been blurred and charts have been manipulated to maintain data confidentiality.

Automated Chatbot Implementation for Customer Support Services

I designed and implemented a rule-based chatbot on my company's website for automated customer support. The chatbot greets users, collects their name and WhatsApp number, which are stored in a database, and displays FAQs with automated answers. Questions outside the FAQ are directed to customer service via WhatsApp or email. This project integrates logic, databases, and web technologies to improve customer service efficiency.

My team and I developed a vegetable detection model for types such as potatoes, carrots, capsicum, and broccoli using digital image processing techniques (resize, normalize, augmentation, enhance contrast, grayscale) and deep learning methods with CNN architectures (CONV2D, Xception, VGG16). The dataset consisted of 400 images sourced from Kaggle, ensuring the model's ability to accurately recognize and classify vegetable types.

I created a professional online portfolio using HTML, CSS, and JavaScript, showcasing my biodata and experiences. The design emphasizes aesthetics and functionality, highlighting my skills in crafting user-friendly and visually appealing web solutions.

My team and I designed Nuju Coffee’s website for online ordering, utilizing Figma for UI/UX planning. We responded to customer feedback through surveys, conducted UX testing with SUS and UEQ, and presented the prototype to lecturers, highlighting our skills in Figma and user-centered design.

My team and I participated in the GEMASTIK 2024 competition, where we redesigned the Customs application and named it "CukaiPro" using Figma, incorporating advanced technologies such as AI and machine learning.

LIHAT YOUTUBE

My team and I developed a Telegram chatbot using GEMINI APIs, integrated with the company database to deliver responsive, human-like interactions. We analyzed requirements, designed solutions, and used Python to process database data. Testing ensured accurate, fast responses, with SQL logic providing actionable insights, and seamless backend connectivity supporting efficient communication.

My team and I developed a BBC news classification model, applying Natural Language Processing (NLP) techniques to compare Recurrent Neural Network (RNN) and Naive Bayes Classifier for category prediction. Using TF-IDF for text representation and SVD for dimensionality reduction, we analyzed sequential relationships (RNN) and probabilistic patterns (Naive Bayes). This project highlights the effectiveness of NLP-based algorithms for automatic text classification, specifically on the BBC news dataset.

My team and I developed an expert system model for disease diagnosis that utilizes medical ontology and the Random Forest algorithm. This system is designed to improve disease diagnosis accuracy by integrating structured medical knowledge through ontology and machine learning algorithms.

My team and I conducted sentiment analysis on the Pocket ITERA app, a student platform at the Sumatra Institute of Technology (ITERA) offering services like attendance, helpdesk, and e-counseling. Using NLP and Naive Bayes, I analyzed Google Playstore reviews to classify feedback into positive and negative sentiments, highlighting the app's strengths and areas for improvement. The results were visualized to provide actionable insights, helping developers enhance the app's quality and user experience.

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