Adaptive social protection in Sri Lanka: Building resilience to disasters and climate change Colombo 25-26 th September 2018 Indonesia s Unified Database (UDB) Said Mirza Pahlevi, Ph.D Head, Center for Social Welfare Data and Information, Ministry of Social Affairs, Republic of Indonesia
Background Context and rationale Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 2
The History and Dynamic of Indonesia s UDB Socio-economic 2005 (PSE 2005) & Social Protection Programmes data collection 2008 (PPLS 2008) Social Protection Programmes data collection 2011 (PPLS 2011) UDB Updating 2015 (PBDT 2015) by Statistics Indonesia From 2017 onward Social Minister s Decree on UDB is issued every May & Nov But UDB can be updated at anytime local governments This enables dynamic inclusion for responding to crisis & reducing exclusion error It was for unconditional cash transfer program because government reduced fuel subsidy PSE 2005 19.1 M poor households with names & addresses; It is then updated by PPLS 2008 Pre-list is based on Population Census 2010 which cover 40% of poor households This become Indonesia s UDB 92% of the pre-list come from (PPLS 2011) and the rest come from social protection program beneficiaries and local government proposals More than 25 M poor household ranked by PMT Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 3
Current Indonesia s Unified Data Base for Social Protection Programs (UDB) Households 27 M Families 28.8 M Detailed socioeconomic information of the 40 percent lowest income group, covering the poor and the vulnerable, by name and by address, including people with social welfare issues Individual 96.1 M For social protection programs to improve the targeting system of poverty reduction UDB as May 2018 433 K Social protection programs better complementing one another People with social welfare issues (PKMS) in Social Welfare Institution Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 4
UDB & Social Protection Programs UDB Electricity/ LPG Subsidies Program Government Paid Health Insurance Program Food Assistance Program Conditional Cash Transfer Program 40% 38% 25% 18% 40% 96,1 M people house holds 92,4 M people 15.5 M families 10 M families
Households 27 M Key Issues in maintaining the UDB Families 28.8 M Individual 96.1 M Difficulties to visit households located in remote areas Requires a large budget to update data Many districts/ villages lack human resources & skills to update data Not all district governments support data updating activities Households scattered accross 34 provinces (514 districts with 75 K villages) Total Area 1.904.569 km 2 (#14) Population 258.316.051 (#4) Number of Islands 17.504 Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 6
Maintaining UDB Implementation Strategies Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 7
Implementation Strategies Communica tion & Technical Guidance Social Minister s Regulation General guidelines for data verification and validation Integrated Referral and Service System Building Integrated Social Welfare Information System (SIKS- NG) Regulation Social Minister s & High Officials Decrees Minimum standard for social service Indonesia s UDB (twice a year) Recipient of Government Paid Health Insurance (every month) Food Assistance Program Recipients (every month) Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 8
Integrated Social Welfare Data SUPPORT DATA BUDGET REALIZATION TRANSACTION IMAGES GEOSPASIAL METADATA indicator activity variable UDB (household & social welfare institution) Potencies and sources Social protection of social welfare beneficiaries Data (PSKS) Data Integration Process Can answer this question: Which poor households receive CCT and also food assistance program and who are the social workers who supervise them and where is their home on the map? LPG Electricity Households Social Welfare Agencies Family (name & address) University School Family (name & address) School Members (name & address) SUPPORT DATA CCT Health Health Health Food Individual Food Center for Social Welfare Data and Information, MoSA, Republic of Indonesia DATA OF PSKS 9
SIKS-NG Usage Workflow Data Administrator at MoSA Intergrated UDB Monitoring and data validation 7 Data User MoSA Download SIKS Offline app 1 6 Upload data update to SIKS-NG Online 514 Districts Data Administrator District 5 Send the update file to district Distribute SIKS-NG Offline app 2 75 K Villages Data Operator Village A Village B Village C Print the prelist 3 4 Record data update into SIKS-NG offline and export as a file Data Enumerator home visit home visit 10
Achievements 11
Time and budget efficiency for managing UDB Have been updated by 388 districts (early of Sep 2018) Data can be requested, downloaded, and sent back through the system (SIKS-NG) also updating Updated every Updated every six month: month: Social Protection UDB (household) Beneficiaries (family) Data updated: 352 Data updated: 3.2 K M New beneficiaries: New beneficiaries: 62 K 285 K also updating Have been updated by 63 districts (May 2018) 12
GROWTH KEAKTIFAN IN VERIFIKASI NUMBER OF & ACTIVE VALIDASI DISTRICTS PEMDA Aktif Update (kirim the & data sahkan data) Tidak Not active aktif 232 126 282 388 2017 2018 2018 (SD(until AWAL early SEPTEMBER) of Sep) 13
Social Protection Data Updated at 34 Provinces Province: East Java Found & updated: 399,307 Found & no update: 214,204 Not Found: 19,572 Not eligible: 41,434 Duplicate: 1798 14
Key Lesson and Advice 15
The three implementation strategies have been proven to successfully reform UDB data management in Indonesia 1. Prepare regulations for UDB management 2. Build an Integrated Social Welfare Information System (SIKS-NG) to facilitate the reform of UDB management 3. Socialize the regulation and system and provide technical guidance on system utilization 16
Proof-of-concept will greatly help to get buyin from the stakeholders SIKS-NG greatly supports the business processes of the stakeholders Province and district governments Ministries and institution such as Ministry of National Development Planning, Ministry of Finance, and The Audit Board are granted access to the system Data that have been updated by the district governments are actually used for social assistance programs at the districts Transparancy in UDB management Give an understanding that data updating activities by the local government are for their own benefit the hardest thing to achieve 17
Current and Future Work 18
An Android application for updating UDB 19
Household location obtained from Android App 20
The use of biometrics for identifying disaster victims and people with social welfare issues Civil Record and Registration Database SIKS-NG MoSA In emergency situation where there is no ID card available Identification & registration of victims and the vulnerable people Providing social assistance Updating the UDB based on the victims/people condition Pusat Data dan Informasi Kesos 21
THANK YOU Center for Social Welfare Data and Information, MoSA, Republic of Indonesia 22