Statistics Student
Statistics, data, and curiosity — three driving forces that inspire me to continuously learn, analyze, and uncover insights from data.
A brief look at my educational background and my interests in statistics and data.
Statistics student at the Faculty of Mathematics and Natural Sciences, Cenderawasih University, with a keen interest in data analysis, statistical modeling, data visualization, and applied statistical methodologies for problem-solving. Dedicated to advancing data processing and interpretation skills while leveraging modern technologies and statistical methods to generate accurate, actionable insights for data-informed decision-making.
Cenderawasih University
Statistics · 2023 – Present
SMA Negeri 1 Arso
Natural Sciences · 2020 – 2023
Statistical methods, software, and skills I have learned and use to process and analyze data.
The educational, organizational, and professional experiences that have shaped my skills.
Volunteer — Instagram, TikTok, X
Managed the social media accounts of MooTiara, a Tiara Andini fanbase, responsible for regular updates on music charts, activities, releases, and the latest news about Tiara Andini. Also created and managed content to maintain consistent activity and strengthen engagement with the fan community across Instagram, TikTok, and X.
Student Council (OSIS) — SMA Negeri 1 Arso
Served as a member of the Fundraising Division of the Student Council (OSIS), helping plan and carry out fundraising programs that supported various school activities and events.
Volunteer — Wikipedia
Contribute to creating, editing, and updating articles on the Indonesian and English Wikipedia, including music-related articles. Actively contribute to Wikimedia Commons by uploading visual materials for documentation.
Cenderawasih University
Supported the Papuan Ethnography course at the Faculty of Mathematics and Natural Sciences, Cenderawasih University, through academic and administrative tasks, including managing and maintaining student attendance records.
HIMASTAT — Cenderawasih University
Serve as a member of the Public Relations Division of the Statistics Student Association (HIMASTAT), responsible for managing the official social media platforms and supporting digital communication initiatives.
BPS-Statistics Indonesia, Papua Province
Recruited as a Statistics Agent at the Cenderawasih University Statistics Corner through a collaboration program between BPS Papua Province and Cenderawasih University. Responsible for processing and presenting statistical information, helping visitors understand data, and providing statistical consultation services in a clear and approachable way.
Ministry of Population and Family Development / BKKBN Papua Province
Supported population control and demographic data management within the Population Control Working Team. Involved in collecting, verifying, and organizing population data and indicators for the preparation of the Papua Population Report (LKP).
Thematic Community Service Program (KKN) 2026 — Cenderawasih University
Led and coordinated the Cenderawasih University Thematic Community Service Program (KKN) in Pasir Hitam Village, South Yapen District, Yapen Islands Regency. Responsible for task delegation, agenda planning, coordination among team members, and communication with the village government and local community.
Certificates earned from various learning platforms and institutions.
Scholarly journal articles authored and published.
Jurnal Matematika, Statistika dan Komputasi (JMSK)
This study investigates the relationship between excessive smartphone use and insomnia among young people through a meta-analysis of cross-sectional studies published between 2022 and 2024. The findings indicate that excessive smartphone use is associated with a significantly higher risk of insomnia, with a pooled Risk Ratio (RR) of 2.62.
View PublicationJurnal Statistika dan Matematika (STATMAT)
This study compares the performance of Decision Tree and Random Forest algorithms for product sales classification using the Superstore dataset. The analysis includes data preprocessing, model evaluation using accuracy, precision, recall, and F1-score, as well as hyperparameter tuning with GridSearchCV. The results show that the Decision Tree model achieved slightly higher accuracy (73.1%) than Random Forest (72.7%).
View PublicationDocumentation of activities, events, and memorable milestones.
Have a project, a question, or an idea to collaborate on? Feel free to get in touch.