Open to work

Turning data, systems, and support into practical solutions.

Hi, I'm Raihan — an Information Technology graduate with a strong interest in data analysis, dashboarding, and technical support. I enjoy solving problems by combining analytical thinking with practical IT solutions.

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Foto Profil Saya

Kebumen, Central Java

01 / The toolkit

Curious by nature,
rigorous by practice.

Informatics fresh graduate with a strong foundation in data analysis, technical problem solving, and digital tools that support decision-making and operational efficiency. With experience in data processing, dashboarding, and analytical projects, I am interested in roles that combine data-driven thinking with practical IT support and process improvement. I am open to opportunities in Data Analyst, IT Support, or positions where technical support and analytical insight work together.

Data Analyst Skills

SQLPythonTableauExcelJupyterStreamlitGoogle Data StudioData CleaningDashboarding

IT Skills

Windows OSComputer NetworkingHardware TroubleshootingSoftware InstallationGit & GitHubBasic Network SupportUser SupportDocumentation


Soft Skills

AdaptabilityTeamworkProblem SolvingDecision MakingTime ManagementCommunicationCritical ThinkingCreativityWork Ethic

04 / Foundations

Education

Master of Information Technology

Universitas Ahmad Dahlan

2024 - 2026

GPA

3.95 / 4.00

Concentration

Data Science and Machine Learning

Thesis

Emotion and Sentiment Classification For Live Chat Using Support Vector Machine and Decision Tree

Bachelor of Information Technology

STMIK El Rahma Yogyakarta

2020 - 2024

GPA

3.61 / 4.00

Concentration

Full-Stack Web Development and Computer Network

Thesis

Developing a Paid Live Video Streaming Application for Indonesian Music Concerts Using Progressive Web Apps

02 / In the field

Experience

IT Intern

SMAN 7 Yogyakarta

July - August 2023
  • Installed, configured, & maintained 20+ PCs and lab equipment with a 95% uptime rate.
  • Provided quick hardware/software troubleshooting to support smooth ICT learning. Ensured the lab's operational readiness before and after practical sessions.
  • Managed and recorded grading data for 100+ students using Excel to support the supervising teacher's administration.
  • Compiled periodic lab asset inventory reports with 100% accuracy.
  • Compiled and presented a comprehensive Field Work Practice Report as the final documentation of the internship project.

03 / Selected work

Projects

e-Commerce Customer Churn Analysis Dashboard

An interactive Streamlit dashboard analyzing 200,000 e-commerce customer records to understand churn behavior, identify the strongest churn drivers, and predict churn risk for individual customers.

StreamlitPythonPandasScikit-learnPlotlyDecision Tree
More →Repo →

Gayanara: Toko Fashion Online Dashboard

An interactive Tableau dashboard analyzing store records to understand sales performance.

TableauExcelData Analysis
More →Repo →

Windows Diagnostic Mini Toolkit

A single menu-driven PowerShell script for diagnosing and fixing common Windows issues. Instead of separate scripts per problem domain, everything lives in one file with a category-based menu pick a category, then pick an action.

PowerShell
More →Repo →

04 / Research

Publications

Journal Paper2025

Sentiment Analysis Model for VTuber Live Stream Chat using Decision Tree and Support Vector Machine

H. Yuliansyah, H.A. Raihan, Murinto

Journal of Innovation Information Technology and Application (JINITA)

  • background: The short, informal, and unstructured nature of Virtual YouTuber (VTuber) live chat makes sentiment analysis challenging, and studies comparing Decision Tree (DT) and Support Vector Machine (SVM) algorithms in this domain remain limited.
  • objective: To propose an optimal sentiment analysis model for VTuber live chat by comparing the performance of DT and SVM.
  • method: Live chat data underwent preprocessing and was labeled as positive, neutral, or negative using VADER and AFINN lexicons. The models used TF-IDF for feature extraction and were evaluated via K-Fold cross-validation and a confusion matrix.
  • results: A 10-fold cross-validation evaluation showed that the DT + AFINN combination with hyperparameter optimization achieved the highest accuracy of 96.26%.
  • conclusion: The combination of DT and AFINN is superior in analyzing VTuber live chat sentiment compared to DT+VADER, SVM+AFINN, and SVM+VADER.
Read publication
Journal Paper2025

Model Klasifikasi Emosi Berbasis Teks dengan Algoritma Decision Tree dan Support Vector Machine

H.A. Raihan, H. Yuliansyah, Murinto

Jurnal Informatika dan Rekayasa Perangkat Lunak (JINRPL)

  • background: Previous studies on text-based emotion classification face overfitting risks due to dataset diversity, highlighting the need for cross-validation and hyperparameter optimization to ensure model generalization.
  • objective: Comparing the performance of Decision Tree (DT) and Support Vector Machine (SVM) for emotion classification using an English text dataset of 16,000 labeled data points.
  • method: The data undergoes preprocessing (cleaning, tokenization, stopword removal, lemmatization) and feature extraction using TF-IDF. The models are evaluated using K-Fold and Stratified K-Fold cross-validation to measure accuracy, precision, recall, and F1-score.
  • results: SVM with hyperparameter optimization achieves an average accuracy of 89%, outperforming DT which achieves 88%. Additionally, Stratified K-Fold evaluation yields very low accuracy variance (0.02% for DT and 0.15% for SVM).
  • conclusion: Stratified K-Fold cross-validation performs better on imbalanced datasets compared to standard K-Fold, and SVM with optimized hyperparameters outperforms DT in emotion classification.
Read publication

05 / Always learning

Certificates & Courses

Google IT Support Professional Certificate

Google

August 2026View Credentials →

Data Analytics Professional Certificate

IBM

July 2026View Credentials →

Excel Professional Certificate

Microsoft

August 2026View Credentials →

MikroTik Certified Network Associate (MTCNA)

MikroTik

August 2024 - August 2027View Credentials →

SIB Dicoding X Kampus Merdeka Angkatan 4

Dicoding

June 2023View Credentials →

06 / Start a conversation

Let's connect and build practical solutions.

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