Profile
A self-motivated and passionate individual pursuing a Master’s degree in Statistics. I am highly interested in research, particularly in image processing, computer vision, statistical modeling, metaheuristic algorithms, and artificial intelligence. Experienced in medical image research, conference presentations, and writing academic research papers.
Education

Master’s degree in Statistics

2024 to 2026 at Institut Teknologi Sepuluh NopemberITS Logo, Surabaya, Indonesia

Bachelor's degree in Informatics and Computer Engineering Education

2018 to 2023 at Universitas Negeri SemarangUnnes Logo, Semarang, Indonesia

Experience

Research Assistant - Budi Sunarko, S.T., M.T., Ph.D.

31/03/2023 to Current at Universitas Negeri Semarang, Semarang, Indonesia

  • Conduct comprehensive literature reviews and synthesize findings into scholarly reports and research papers.
  • Perform research in image processing, computer vision, and predictive modeling to address real-world challenges.
  • Analyze researched problems critically and develop effective, evidence-based solution strategies.
  • Collaborate and engage in discussions with fellow researchers to exchange insights, refine methodologies, and strengthen research outcomes.

Research Assistant - Dr. Anan Nugroho, S.T., M.Eng.

From 13/06/2024 to 19/02/2025 at Universitas Negeri Semarang, Semarang, Indonesia

  • Served as Research Assistant and Research Coordinator in developing lightweight multi-label human detection algorithms for robotic and CCTV platforms, focusing on age, gender, and facial expression recognition.
  • Managed project coordination, technical writing integration, budgeting, documentation, and performance evaluation to ensure effective research implementation.

Research Assistant - Liftiah, S.Psi., M.Si., Ph.D.

17/03/2023 to 28/01/2026 at Universitas Negeri Semarang, Semarang, Indonesia

  • Assist in interdisciplinary research projects in psychology by investigating the relationship between hypertension, facial characteristics, and perceived facial trustworthiness.
  • Conduct literature reviews and synthesize scientific findings into structured reports, manuscripts, and academic publications.
  • Apply image processing, computer vision, and predictive modeling techniques to support psychological and health-related research objectives.
  • Analyze complex research problems and contribute to the development of data-driven, evidence-based solutions.
  • Collaborate closely with faculty members and fellow researchers in research discussions, methodology refinement, and scientific dissemination.

Research Coordinator

in 2021 at Universitas Negeri Semarang, Semarang, Indonesia

  • Conducted research to develop a machine learning model to diagnose coronary heart disease (CHD) risk based on facial texture under the supervision of Dr. Anan Nugroho, S.T., M.Eng., which led to one international proceeding.
  • Evaluated algorithms and contributed to the development of a Flask-based web platform for CHD risk detection.

Awards and Certifications
Skills
  • Statistical Analysis
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Image Processing
  • Predictive Modeling
  • Data Visualization
  • Python Programming
  • Flask Development
  • Research Methodology
  • Scientific Writing
  • Feature Engineering
  • Multivariate Analysis
  • Optimization Algorithms (metaheuristic)