RAF. CV
BPS Statistics Indonesia · Researcher

Ridson Al Farizal P.

Statistical Programmer & Researcher

Specializing in statistical computing in R, particularly in Small Area Estimation, machine learning, and remote sensing applications. Experienced in developing CRAN packages, large-scale microdata processing, and advanced spatial analytics for evidence-based policy.

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Portrait of Ridson Al Farizal P
Ridson Al Farizal P
BPS–Statistics of Selayar Islands Regency
5 CRAN Packages 5+ Publications Small Area Estimation
CV / 2026 INDONESIA

Education

Academic Background

2019 — 2023

Bachelor of Applied Statistics

Politeknik Statistika STIS, Jakarta, Indonesia

Undergraduate Thesis

Application of Geospatial Big Data in Small Area Estimation to Estimate the Youth Open Unemployment Rate in Banten and West Java Provinces, 2021.

Core Academic Competencies
Key methodological and technical areas mastered at STIS:
✓
Small Area Estimation (SAE): Hierarchical Bayes, Empirical Bayes, Fay-Herriot area & unit-level modeling.
✓
Geospatial Analytics: Satellite imagery extraction (Sentinel-2A), spatial aggregation, and remote sensing.
✓
Official Statistics: Complex survey design, Susenas/Sakernas microdata analysis, and poverty benchmarking.
✓
Statistical Programming: Algorithmic implementation in R, package development, and C++ integration via Rcpp.

Experience

Professional Journey

01

October 2023 — Present · BPS–Statistics of Selayar Islands Regency

Staff

Leading statistical innovation initiatives and coordinating regional census operations for the regency.

  • Selected as Change Ambassador (Duta Perubahan) 2025 and 2026, driving public service transformation.
  • Head of the Economic Census Task Force (GARDA SE2026) managing operational readiness and field validation.
Official Statistics Leadership SE2026 Regional Analytics
Ambassador 2025 Ambassador 2026
02

June 2024 — August 2025 · Statistics Indonesia (BPS)

Extreme Poverty Estimation Team

Performed model-based estimation of extreme poverty indicators at regency and municipality levels across Indonesia using Small Area Estimation.

  • Formulated and validated SAE models using national Susenas microdata and administrative registers.
  • Produced disaggregated poverty estimates for high-precision national targeting and policy intervention.
Small Area Estimation Poverty Modeling Susenas Microdata R Computing
Project Documentation
03

July 2023 — September 2023 · National Food Agency (Bapanas), BPS, STIS

FSVA Indicator Estimation Team

Executed sub-district-level estimation of Food Security and Vulnerability Atlas (FSVA) indicators using Small Area Estimation methodologies.

  • Developed granular sub-district food security vulnerability models to support national food resilience planning.
  • Presented spatial findings and methodological frameworks to ministry and agency leadership.
Food Security (FSVA) Small Area Estimation Spatial Mapping
Read News Release
04

February 2023 — June 2023 · Politeknik Statistika STIS

Teaching Assistant — Survival Analysis

Assisted undergraduate sixth-semester students in computational laboratories and theoretical sessions for Survival Analysis.

  • Instructed practical statistical computing in R covering Kaplan-Meier estimation, Log-Rank tests, and Cox PH modeling.
  • Mentored students in interpreting survival distributions and writing reproducible statistical reports.
Survival Analysis R Programming Cox Proportional Hazards Mentorship
View Reference

Publications

Selected Research

Google Scholar
Peer-Reviewed Journal
Comparative Accuracies Using Machine Learning Models for Mapping Sugarcane Plantations Based on Sentinel-2A Imagery in Kediri, East Java
RAF Pulungan, R Nooraeni
Int. J. Remote Sensing & Earth Sciences, 2024
Conference Proceeding
Harnessing the Potential of the Blue Economy in Central Java: Mapping, Strategic Development, and Macroeconomic Analysis
AA Pangestika, D Wahyudi, RAF Pulungan
Int. Conference on Data Science & Official Statistics, 2025
National Seminar
Aspect-Based Sentiment Analysis on Google Maps Reviews: A Case Study on Post-Pandemic Tourism Recovery Strategy in West Papua Province
RAF Pulungan, WAA Nugroho
Seminar Nasional Official Statistics, 2025
Peer-Reviewed Journal
Model-Based Approach for Clustering Regencies/Cities in the Land of Papua Based on Food Security Indicators
RAF Pulungan, SF Thahar, SI Mardani, SM Ramadhan, LP Marpaung
Jurnal Ilmu Pertanian Indonesia, 2025
National Seminar
Implementation of Hierarchical Bayes Beta-Difference Benchmarking Small Area Estimation for Estimating NEET among Higher Education Graduates
DR Salis, AM Japany, R Rodliyah, S Ibad, RAF Pulungan, Y Ramadhan
Seminar Nasional Official Statistics, 2024

R Packages

Open-Source Contributions

saeHB
CRAN Package
Perwira, Z. Y., Ubaidillah, A., Pulungan, R. A. F., & Wulansari, I. Y.
Small Area Estimation using Hierarchical Bayesian Method under area-level modeling.
Hierarchical Bayes MCMC Fay-Herriot
sae.projection
CRAN Package
Pulungan, R. A. F., Ubaidillah, A., Larasati, S. A., & Rahayu, A.
Small Area Estimation using Model-Assisted Projection Method for non-sampled domain estimates.
Model-Assisted Projection Survey Data
saens
CRAN Package
Pulungan, R. A. F. & Ubaidillah, A.
Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas.
Clustering Non-Sampled SAE
saeHB.unit
CRAN Package
Pulungan, R. A. F. & Ubaidillah, A.
Basic Unit-Level Model Using Hierarchical Bayesian Approach for fine-scale area statistics.
Unit-Level Hierarchical Bayes Microdata
fastsae
CRAN Package
Pulungan, R. A. F. & Ubaidillah, A.
Fast implementation of Small Area Estimation methods leveraging C++ (Rcpp) and OpenMP multi-threading.
C++ / Rcpp OpenMP SAE
cartlm
GitHub (cartr)
Pulungan, R. A. F.
Classification and Regression Tree with Linear Model integration for predictive modeling.
Decision Trees Linear Models Machine Learning

Regional Applications

BPS Selayar Innovations

SLSelayar
WebGIS
BPS Kabupaten Kepulauan Selayar
Interactive WebGIS platform for field coordinate verification, Google Maps route integration, and boundary visualization of 720+ SLS polygons.
WebGIS Geospatial BPS Selayar
BUMAKO
Web App
BPS Kabupaten Kepulauan Selayar
Interactive Master Commodity Catalog (Buku Master Komoditas) for rapid search and identification across 3,000+ commodities in SPDT NTP 2026.
SPDT NTP 2026 Master Data Search Engine

Skills

Technical Toolkit

Statistical Modeling
Small Area Estimation (SAE) Hierarchical Bayes (HB) Fay-Herriot Models Survey Methodology Survival Analysis Clustering & Benchmarking
Programming & Packages
R (Advanced) Rcpp (C++ Integration) CRAN Package Dev tidyverse & ggplot2 Python (Data Science) Git & GitHub CI
Spatial & Remote Sensing
Sentinel-2A Analytics Google Earth Engine (GEE) QGIS Geospatial Big Data Land Cover Mapping Spatial Econometrics
Reporting & Science
Quarto & R Markdown LaTeX Reproducible Research Data Cleaning & Wrangling Advanced Data Viz

Let's Connect

Interested in research collaboration, statistical modeling, or open-source package development? Let's talk.

Official Email
ridsonap@bps.go.id
GitHub Profile
github.com/ridsonap
BPS–Statistics Indonesia
Kepulauan Selayar Regency