My research interests, technical toolkit, international exposure, and credentials — each interest links to the peer-reviewed work behind it.
Applying machine learning across the distribution network — from anomaly and loss detection to complaint prediction and operational forecasting.
See publicationsDetecting electricity theft and metering fraud with ML ranking and smart-metering hardware — raising inspection hit rates from ~15% to ~77% at PLN.
Anti-Theft Metering paperDesigning connected metering (STM32 + STPM10 + GPS/GPRS) and using AMR/AMI data streams for real-time distribution analytics.
Read the designTurning idle power surplus into value — the EnerBit model mapping ~7 GW of spare capacity to a potential ~56,640 BTC/year.
EnerBit researchEconomics and policy of rooftop and industrial solar — net-metering assessment, adoption drivers, and optimal PV placement on feeders.
Solar adoption studyTariff design for prosumers and industry — net-metering cost analysis and Time-of-Use scenarios worth ≈ Rp 3.6 trillion/year in savings.
Net metering paperBenchmarking medium-term load-forecasting methods for distribution planning across accuracy and data requirements.
Forecasting paperShifting and shaping demand, integrating renewables, and the policy levers that make Indonesia's clean-energy transition affordable and reliable.
Read my thoughtsBuilding models end to end — from feature engineering to deployment — for detection, ranking, and forecasting.
Modelling and analysing distribution networks, reliability, and load behaviour for planning and operations.
Spatial analysis of electrical infrastructure using night-lights imagery and web mapping.
Shipping production tools and dashboards that operators and communities actually use.
IELTS 6.5 — British Council, 2025
Electricity Usage Enforcement Supervisor — ESDM, 2025
Asst. Manager, Distribution-to-End-User Services — ESDM, 2025
Asst. Manager, Low-Voltage Power Distribution — ESDM, 2022