● Manage, clean, reshape, merge, and transform monthly and yearly Hospitals Ina-CBGs claim data from 514 cities/districts in Indonesia which have contract with BPJS Kesehatan (Social Security Administrator for Health) under JKN scheme (National Health Insurance) and around 1 million individual samples from Socio-Economic Survey by Indonesia Statistics. ● Analyze Hospitals Ina-CBGs claim longitudinal data from 514 cities/districts in Indonesia for year 2020-2022 using Geographically Weighted Regression model.● Generate theme maps for 514 cities/districts in Indonesia as result visualization from Geographically Weighted Regression model.● Incorporate a wide range of categories but not limited to 8 categories of variables into Geographically Weighted Regression model which are hospital referral, verification cost, severity level, socio demographic variables, number of patients, and all related variables along with cancer, kidney failure and heart diseases cases and utilization costs.● Managed, cleaned, reshaped, merged, and transformed Basic Health Research (2018) data from Ministry of Health, Indonesia with around 70,000 individual samples to obtain prevalence of depression.● Analyzed 70,000 individual samples from Basic Health Research (2018) data using Logistic Regression model with bivariate multivariate and multilevel methods.● Incorporated wide range of categories but not limited to 10 categories of variables into Principal Component Analysis. Indicators included in analysis are in-patient hospital horizontal referral, out-patient hospital horizontal referral, nosocomial infection, discharge by patient request, cost and patient discharge characteristics, readmission data, and additional indicators such as vertical referral between primary health center and hospital and between hospital, death as discharge status, elder patient program data and compliance score for 2022.

● Managed, cleaned, reshaped, merged, and transformed around 1 million individuals and 5 million expenditure and consumption samples from Socio-Economic Survey (2022) by Indonesia Statistics.● Analyzed 1 million individual and 5 million expenditure and consumption samples from Socio-Economic Survey using cross tabulation and descriptive approach with chi-square statistical test.● Managed, cleaned, reshaped, merged, and transformed around 777,000 individual samples from National Workforce Survey (2021) by Indonesia Statistics.

Responsible as data analyst who providing support to the Task Team in ensuring the quality of the project data (MIS) and perform periodic analysis of the MIS data for program monitoring purposes and mid – term review as described below :Perform periodic analysis in the implementation and preparation section includes 6144 city-wards (kelurahan), 153 cities and 19 provinces. The data utilized are investment, source of funding, number of activities and volumes, beneficiaries, unit cost data in 8 activities included in key performance indicators (KPI) such as housing, local road, water supply, drainage, sanitation, solid waste, fire protection, and public space for kelurahan and city level. In the preparation section, the data utilized are task force composition, functionality and activity for city and provincial level. Task force composition describes how much in percentages female member of task force, representatives from local parliament, public works local office, NGOs, professionals and universities. Task force functionality and activity describes how many cities have fulfilled functionality indicators such as annual planning finished, intensity of field monitoring, meeting, have a secretariat, allocate local budget to the NSUP and official decision letter, and self – help group formed, socialization and meeting intensity.Assist the Bank Team in the development and facilitation of training of MIS data analysis such sharing and discussion about level of measurement of MIS data in PAMSIMAS.Assist the Bank team in cleaning and analyzing PAMSIMAS evaluation study survey which includes text mining, logistic regression, and crosstabs in analysis.

Center for Health Economics and Policy Studies - Universitas Indonesia (CHEPS UI)● Analyzed, wrote, edited, and reported 402 patient primary data in a research and policy brief for Study of Peer Review towards Health Care Effectiveness and Efficiency in Primary Health Facilities for Jakarta Greater Area.● Analyzed, wrote, edited, and reported 402 patient primary data in a research and policy brief for Study on the Potentially Moral Hazards of section cesarean, physiotherapy, and cataract surgery treatment in the JKN program in Indonesia.● Supervised and coordinated data collection and obtained data from 300 households and 30 institutions in West Kalimantan and Jakarta Special Capital Region for Comprehensive Program Keluarga Harapan (PKH) Study: Quantitative and Qualitative Study to Monitor Program Operations and to Detect Impact of Household Conditional Cash Transfer (CCT) in Indonesia.● Supervised, coordinated data collection along with 8 enumerators and obtained data from 60 primary health centers and 15 hospitals, hundreds of patient and health workers in South and North Kalimantan for Evaluation on the payment mechanism for the primary health care under JKN in Indonesia● Managed, cleaned, reshaped, merged, transformed, reported and analyzed both primary and secondary data from Socio-Economic Survey 2015, Indonesia Family Life Survey 5 (2014-2015), INA-CBGs claim data, Data from Primary Care Application and primary survey data from JKN Study in 2017 which combined all different 5 datasets using cross tabulation, statistical t-test, and logistic regression for detecting the risk factor groups who has higher probability to visit health facilities.● Collected, analyzed and reported Twitter API data, Socio-Economic Survey and IFLS data for Social Media Sentiment Analysis of Trending Topic Cigarette Price Issues.

Conduct a market research for basic chemical industry with the scope of input or raw materials market and output market.Become a mystery shopper, conduct invoice quotations, in depth interview, phone and e-mail interview. For approximately 500 firms across various market.Estimate and survey logistics cost for shipping import and domestic shipping.Estimate and survey price, quantity and quality availability both in raw material market and output market.

Conduct discourse analysis for online media articlesAnalyze 72 articles from online media in 1 year period of time with 6 articles per month for year of 2015/2016.

A research assistant at real sector statistics division, statistics department. Central Bank of Indonesia.Job DescriptionCompare and evaluate questionnaires from business tendency survey (SKDU) Bank Indonesia and tankan from Bank of Japan, and compare weighted net balance (SBT) from SKDU with business tendency index (ITB) from business tendency survey BPS.Cleaning approximately 4000 firm data and filtered data based on business scale (big, medium, and small enterprises) and size of worker in business tendency survey (SKDU) from 4th quarter in 2014 until 3rd quarter in 2015.Evaluate online system business tendency survey from BPS. Whether it is already correctly answered by the respondent or not.Remapping after cleansing approximately 4000 enterprises from 9 sectors in economy based on GDP 2000 based year into 17 categories based on GDP 2010 based year. Then, put additional 5 ISIC digits to each enterprise.Calculate weighted net balance after cleaning and remapping for all enterprises data in 9 sectors and 17 categories in general and calculate weighted net balance special for big, medium and small enterprises from 4th quarter in 2014 until 3rd quarter in 2015 and compare this indicator with GDP growth direction in graphs.

Teaching assistant is helping the lecturer to provide some tutorials, practice and excercises to new student for some fundamental and core courses in Economics

Research assistant intern in LD FEUI do some interview at field research, input some datas to help LD researchers to run, analyze and interpret those data, and uasually become a part of comittees for helding LD FEUI celebration, seminar or competition