Information Management Systems for Aceh-Nias Recovery

Presentasi berjudul: "Information Management Systems for Aceh-Nias Recovery"— Transcript presentasi:

1 Information Management Systems for Aceh-Nias Recovery
Implementing RANdatabase and Housing Geospatial System Eddie R. Darajat Chief Information Officer BRR NAD-NIAS Jakarta, 5-6 August 2008 Good Morning, Ladies and Gentlemen What we’ll be looking at is a way to effectively use ICT solutions in post-disaster recovery. As we know that Aceh-Nias recovery involve billions of dollar funds, hundreds of donor and implementing agencies in a multi-sector and wide geographical areas. The question is how do we use ICT to ensure that recovery process transparent and accountable? We have learned that Internet-based ICT tools can help us to coordinate, plan, monitor and evaluate the process. And as a result, web-based ICT tools can improve inter-agency communication, as well as a vehicle for data sharing. Such technology can open the reconstruction process to the public in a highly transparent way and help to hold all of us accountable.

2 Earthquake & Tsunami on 26 December 2004 & 28 March 2005
Background Let’s begin with -Earthquake and Tsunami Disaster in Aceh on 26 December 2004 Earthquake in Nias on 28 march 2005 …….dead ……house …….km houses Earthquake & Tsunami on 26 December & 28 March 2005

3 Nanggroe Aceh Darussalam
Support from International Communities The international community responded immediately with billions of dollars pledged from bi-lateral and multi-lateral donors, private business and mobilization of hundreds of implementing agencies There are 600 funding agency and 500 Implementing agency 12 bilateral 41 government agency 16 UN agency 37 private sector 206 INGO 149 national NGO Nanggroe Aceh Darussalam & Nias

4 Challenge Donors & Implementers Geographical Areas Projects
In this situation We are facing challenge Actors: with different area of concerns and expertise Wide geographical areas 800 km coastal line Multi sectors: Housing Infrastructure Livelihood and Economic Development Health Education Social Culture

5 shows who’s doing what to the world
Requirements for a Robust ICT Solutions provides up to date, transparent and accountable information on the recovery process enable Partners to plan and coordinate their projects with other actors working in the same sectors and locations. allows BRR to coordinate more effectively, pinpoint overlaps and publish reports Over 1,100 donor and implementing partners should participate in online data sharing, directly providing up-to-date information on the progress of reconstruction works. Without the tool, the number of organizations threatened to overwhelm capacity to absorb large volume of information on aid. It also could led to massive duplication of efforts and substantial gaps in aid delivery by sectors and regions shows who’s doing what to the world

6 ICT Solution Approach Process-based Continuous
Integrated with working process or workflow Less expensive Application System RANdatabase SmartPro HuntaraOnline Survey-based “Snapshot” Independent of working process Costly Survey, Census Housing Geospatial Beneficiary IDP

7 BRR SYSTEM ARCHITECTURE Database Management System
Process-based (transactional) ICT solution BRR SYSTEM ARCHITECTURE DELIVERY CHANNEL EXECUTIVE INFORMATION SYSTEM Portal e-aceh-nias SMS Gateway APPLICATIONS SUPPORTING ASSET MANAGEMENT SYSTEM FINANCIAL SYSTEM Facility Management HRIS Intranet RKAKL SPM SABMN SAKPA HOUSING SYSTEM PROJECT MONITORING Smart Pro RANdatabase Huntara Online Housing SIM e-Procurement Database Management System Textual Data Document Spatial Data

8 Case Study 1: RANdatabase

9 Recovery Aceh Nias (RAN) database

10 RANdatabase: Facilitating PCN Workshop
Concept Note Submission by Donors & Partners Approval Workshop by Deputy, Expert from BRR, UN Agency, Pemda Updating Project by Donors, Partner Result Projects Approved (with Unconditional approval ; Conditional approval) ; or Projects Not Approved: (Holding Bay or Turn down) critical information : key performance indicators funding source sector location budget allocation Updated data For monitoring, evaluation report and analysis 10

11 RANdatabase: Coordination, Monitoring and Evaluation Tools
Approve update monitor Propose project Project Information NGO Donor Beneficiary Press General Public project description funding agency implementing partner fund commitment disbursement location target progress

12 PCN Approval Workshop (2005-now)
44 Workshops +1700 PCN Submitted 1530 PCN Approved

13 Role of Outreach Team Encourage organizations to update Drop In Centre
Train how to use RAN Provide report as requested Trouble shooting

14 Sample Project Concept Note (PCN)

15 Facilitate Our Partners (Note: PCN Status “approved” )
Integrated team (tim terpadu) Unit under BRR representing various government institutions that acts as a “one stop shop” Tax exemption Import document processing Visa/work permit, etc.

16 Data Mining and Report Generator
Generate customized reports “on-the-fly” based on parameters specified by users 16

17 Output Who’s, Doing What, Where

18 Output Thematic Map 18

19 Output Report Example Donor Figure by Funding Agency Type
Number of Partner by Sector (%) Funding Agency Type Committed (USD) Disbursed (USD) # of Projects Academic Institutions 1,993,105 365,082 7 Bilateral 1,116,011,013 644,011,134 352 Government Agency 18,452,038 6,851,466 16 International Financial Institutions 293,898,179 148,712,559 54 International NGO 1,324,052,586 895,472,189 960 National NGO 40,553,617 21,221,949 29 Other 30,016,803 2,296,957 23 Private Sector and community 148,343,190 79,950,879 244 UN 460,808,887 356,091,766 147

20 Sector Allocation

21 RANdatabase: Fact Sheet
Commitment : USD 3.7 billion Disbursement : USD 2.5 billion 1530 Project Concept Notes 598 funding agencies 498 implementing partners 23 districts 266 sub districts 2688 villages Status as of February 25, 2008

22 Key Performance Indicators (KPI) from PCN

23 Key Performance Indicators (KPI)
Reference for Asset Data Project progress Key Element for Reports + 200 KPI number of elementary school, junior high school, senior high school build number of houses built number of livestock provided number bridges rebuilt number of loans provided area of mangrove restored etc..

24 KPI Consolidated Progress June 2008 112,346 96,981 2,542 18 11 26,538
New houses 112,346 unit Agricultural land 96,981 ha Road 2,542 km Seaports 18 Airports/airstrips 11 Teachers 26,538 trained Schools 1,045 Health facilities 787

25 Information Dissemination
e-Aceh-nias.org Reports CD ROM

26 Benefit Data Mining Data Analysis Decisions Making Tool
generate reports by cross tabulation or relationship of project variables Data Analysis provide perspectives for gap analysis such as sector and location gap of Finance and KPIs Decisions Making Tool assist planning, evaluation and coordination; provide sources for benchmarking, lessons learned and data sharing

27 Case Study 2: Housing Geospatial
Pekerjaan ini dimulai dari pembangunan kerangka pemetaan dari titik GPS BAKOSURTANAL/BPN dan perapatan titik kontrol GPS baru sebanyak 735 titik ke 1293 daerah rehab-rekon di NAD-Nias. Pemetaan situasi dilakukan atas obyek : rumah, jalan, saluran, dan utilitas lainnya. Sedangkan pendataan tekstual dilakukan terhadap rumah dan PSD untuk memperoleh: progres rumah yang dibangun, status hunian, nama penerima bantuan, dan kesiapan kawasan permukiman untuk bertempat tinggal dan memastikan donor yang melakukan pembangunan. Tiap rumah di dokumentasikan progress fisiknya melalui foto. Pemetaan menggunakan Digital Total Station dan GPS. Data mentah lapangan dari Total Station dan GPS diintegrasikan dengan data tekstual melalui proses pengolahan data di studio. Proses studio menghasilkan database spatial dan database tekstual sebagai bahan dasar berbagai keperluan khususnya pembangunan GIS. Database Geospatial tersebut dicetak berdasarkan tema terntentu sesuai dengan kebutuhan perumahan. Saat ini telah terdapat peta yang menggambarkan rumah dii atas lahan lebih kurang HA dari desa, 142 kecamatan di 17 Kabupaten/Kota. Survey data geospatial ini dilaksanakan melalui outsourcing 3 (tiga) konsultan besar di bawah koordinasi 1 orang Project Officer dan 4 orang tim teknis BRR. Pekerjaan lapangan telah dikoordinir oleh 18 orang tenaga ahli profesional, 120 orang tenaga surveyor pemetaan situasi dan surveyor pendataan tektual serta di bantu oleh 240 orang masyarakat desa. Peralatan yang digunakan dalam melaksanakan pekerjaan ini terdiri dari : 12 unit Geodetic GPS, 93 unit GPS type navigasi, 22 unit Digital Total Station, lebih kurang formulir pendataan dan deskripsi Benchmark, 138 unit komputer, serta 158 kamera digital. Survey data geospatial ini dilaksanakan selama 4,5 bulan dari bulan Desember 2007 hingga April 2008. Berdasarkan ketersediaan data base Geospatial ini dibentuklah Housing Information System yang menggunakan data spatial format ESRI SHP yang dibangun berbasis web. Sistem ini diperuntukkan sebagai tools untuk melakukan monitoring, evaluasi, dan informasi progres pembangunan tiap rumah, tiap donor dan tiap desa area bencana di wilayah NAD-Nias. Berdasarkan penelitian dari Research Center for Seismology Volcanology and Disaster Mitigation, Nagoya University ditemukan daratan Aceh dan Nias masih belum stabil dan terjadi perubahan posisi dari waktu ke waktu. Dengan demikian dilakukan pembuatan peta dasar baru untuk aplikasi Housing Information System berdasarkan analisa data dan integrasi peta dasar Bakosurtanal dan hasil pengukuran geospatial terkini. Sehingga rumah dan PSD dapat ditampilkan dalam koordinat geografis. Entitas lain yang ditampilkan sistem antara lain : nama penerima manfaat, foto fisik rumah, nama donor, status hunian, dan lain-lain. Housing Information System ini di buat secara “in-house” kolaborasi antara Ahli GIS (1 orang), Sistem Analis (1 orang), System Integrator (2 orang), dan Programmer (2 orang) di bawah koordinasi Chief Information Officer (CIO) Pusat Data dan Informasi (PUSDATIN) BRR.

28 Housing Geospatial: From Field to Studio
GROUND CHECK (by roving team) GIS TEAM (STUDIO) Pekerjaan ini dimulai dari pembangunan kerangka pemetaan dari titik GPS BAKOSURTANAL/BPN dan perapatan titik kontrol GPS baru sebanyak 735 titik ke 1293 daerah rehab-rekon di NAD-Nias. Pemetaan situasi dilakukan atas obyek : rumah, jalan, saluran, dan utilitas lainnya. Sedangkan pendataan tekstual dilakukan terhadap rumah dan PSD untuk memperoleh: progres rumah yang dibangun, status hunian, nama penerima bantuan, dan kesiapan kawasan permukiman untuk bertempat tinggal dan memastikan donor yang melakukan pembangunan. Tiap rumah di dokumentasikan progress fisiknya melalui foto. Pemetaan menggunakan Digital Total Station dan GPS. Data mentah lapangan dari Total Station dan GPS diintegrasikan dengan data tekstual melalui proses pengolahan data di studio. Proses studio menghasilkan database spatial dan database tekstual sebagai bahan dasar berbagai keperluan khususnya pembangunan GIS. Database Geospatial tersebut dicetak berdasarkan tema terntentu sesuai dengan kebutuhan perumahan. Saat ini telah terdapat peta yang menggambarkan rumah dii atas lahan lebih kurang HA dari desa, 142 kecamatan di 17 Kabupaten/Kota. Survey data geospatial ini dilaksanakan melalui outsourcing 3 (tiga) konsultan besar di bawah koordinasi 1 orang Project Officer dan 4 orang tim teknis BRR. Pekerjaan lapangan telah dikoordinir oleh 18 orang tenaga ahli profesional, 120 orang tenaga surveyor pemetaan situasi dan surveyor pendataan tektual serta di bantu oleh 240 orang masyarakat desa. Peralatan yang digunakan dalam melaksanakan pekerjaan ini terdiri dari : 12 unit Geodetic GPS, 93 unit GPS type navigasi, 22 unit Digital Total Station, lebih kurang formulir pendataan dan deskripsi Benchmark, 138 unit komputer, serta 158 kamera digital. Survey data geospatial ini dilaksanakan selama 4,5 bulan dari bulan Desember 2007 hingga April 2008. Berdasarkan ketersediaan data base Geospatial ini dibentuklah Housing Information System yang menggunakan data spatial format ESRI SHP yang dibangun berbasis web. Sistem ini diperuntukkan sebagai tools untuk melakukan monitoring, evaluasi, dan informasi progres pembangunan tiap rumah, tiap donor dan tiap desa area bencana di wilayah NAD-Nias. Berdasarkan penelitian dari Research Center for Seismology Volcanology and Disaster Mitigation, Nagoya University ditemukan daratan Aceh dan Nias masih belum stabil dan terjadi perubahan posisi dari waktu ke waktu. Dengan demikian dilakukan pembuatan peta dasar baru untuk aplikasi Housing Information System berdasarkan analisa data dan integrasi peta dasar Bakosurtanal dan hasil pengukuran geospatial terkini. Sehingga rumah dan PSD dapat ditampilkan dalam koordinat geografis. Entitas lain yang ditampilkan sistem antara lain : nama penerima manfaat, foto fisik rumah, nama donor, status hunian, dan lain-lain. Housing Information System ini di buat secara “in-house” kolaborasi antara Ahli GIS (1 orang), Sistem Analis (1 orang), System Integrator (2 orang), dan Programmer (2 orang) di bawah koordinasi Chief Information Officer (CIO) Pusat Data dan Informasi (PUSDATIN) BRR. DATA GIS

29 Housing Geospatial: Process Flow
DATA INPUT FROM BRR HOUSING INFORMATION SYSTEM DESIGN Refer To RANdatabase HOUSING IDENTIFICATION GEOSPATIAL DATABASE DIGITAL MAPPING PROCESS DATA VERIFICATION LINKING GEOSPATIAL-TEXTUAL FINDING POSITIONING AND TEXTUAL DATA GPS POSITIONING GIS DATA AND INFORMATION TEXTUAL DATA ACQUISITION DATA MIGRATION TO SYSTEM TEXTUAL DATABASE WEB-BASED GIS FOR HOUSING

30 Housing Geospatial

31 Lessons Learned Both Process-based and Survey-based solutions are critical to support accountable and transparent post-disaster recovery. RANdatabase allows BRR to engage many donors and implementing agencies in the process of collecting and sharing data. Housing Geospatial System provides individual housing data with geo-reference to support accountability and asset transfer/hand over.

32 Thank You