Field Research Method for Densely Populated Area: Building the

Depok, October 18th 2015
Joint International Stakeholder Workshop – JISW
University of Indonesia, University of Florida
and Cardiff University
Field Research Method for Densely Populated Area:
Building the information system
Dr.-Ing. Ova CandraDewi, M.Sc., S.T.
Solid Waste Strategy Manager
BinaEkonomiSosialTerpadu, BEST – Indonesia
Adjunct Lecturer
Department of Architecture, University of Indonesia
INDONESIA AND ASIA PACIFIC COUNTRIES
Area
(km2)
Population
(person)
1. China
1. China
2. Australia
2. India
3. India
3. Indonesia
4. Indonesia
4. Pakistan
5. Mongolia
1.9 Mio
252 Mio
Density
(person/km2)
18,000
Macau
124
Indonesia
2
Mongolia
GDP
GDP per capita
(USD 2009)
(USD 2009-20011)
800,000
3,500
~ Bangladesh
~ Thailand
India
Picture: Wikipedia, 2015. Author: Abrahamic Faiths
Data: http://en.wikipedia.org/wiki/Asia-Pacific -accessed 24.05.2015
CITY PROFILE: BERLIN-JAKARTA-TANGERANG SELATAN – OVERVIEW
Data: http://en.wikipedia.org/wiki/Asia-Pacific -accessed 24.05.2015, DKPP 2014
Source: Wikipedia, 2015. Author: UweDedering
891
3.5 Mio
4,000
5
664
11.3 Mio
14,400
147
TANG-SEL
Density
(person/km2)
488
JAKARTA
Population
(person)
778
BERLIN
CITY
Area
(km2)
Ag
e
1.4 Mio
9,500
How to get the community
aware of the improvement
ideas, how we can go further?
The Case study of Cipedak Region, South Jakarta
13.
WasteCommunity
Bin SizeImpact
1.
PhysicalMap
9. Active
Environmental
5.
Members
14.
Waste
Bin
Allocation
2.
WasteCharacterization
10.Meeting
Potential
Output
6.
Points
15.
Collection
Route and Community3.
Collective
Actions
11.Zoning
CostandBenefit
7.
BasedOrganization
Module 1
Data Inventory
1
Module 2
System Information
& Communication
Network
2-1
2-2
2-3
5
1-1
2
3
6
7
Module 4
1-2
1-3
Environmental
Impact and Output
Assessments
4
9
3-1
Database
System
10
3-2
11
8
Selected
Communication
Network
Waste
Collection
System
Module 3
3-3
12
13
4-1
4-2
14
15
4-3
16
Selected Waste
Treatment
Selected Collection
System
O.C. Dewi, 2013
MODULE 1: DATA BASE SYSTEM
Case study of Cipedak Region, South Jakarta
PhysicalMapInventory
Module 1
Inventory
Database
System
WasteCharacteristics
Collective Actions
PHYSICAL MAPS (7 Layers information)
MODULE 2: SYSTEM INFORMATION NETWORK
Case study of Cipedak Region, South Jakarta
Database
System
Module 2
Information
System
Communication
Network
The areaofinfluence
1 zone
activecommunity
member
Active community member
Meeting point
Zoning
INFORMATION NETWORK In CIPEDAK – active community member
Legend
Case Study
Feature
Element
Unit
I
II
Active person
16
10
person
Buffer zone I
25
10
meter
Buffer zone II
50
20
meter
*) Case Study I has bigger area
INFORMATION NETWORK In CIPEDAK – the meeting points
Legend
Case Study
Feature
Element
Unit
I
II
Meeting Point
2
1
point
Buffer zone I
50
30
meter
Buffer zone II
100
50
meter
Buffer zone III
150
__
meter
*) Case Study I has bigger area
INFORMATION NETWORK In CIPEDAK – zoning system
Legend
Case Study
Feature
(nofeature)
Element
Unit
I
II
Cluster
8
7
Cluster
Total houses
24- 59
5 - 24
house
*) Case Study I has bigger area
MODULE: SYSTEM INFORMATION NETWORK
houses
messenger/local cadres
meeting point
Influenced zone, active
Influenced zone, passive
How can I design policies if I dont fully understand reality on the ground? How
can I design (development/social) programs if I dont grasp problem in the
society? (Jokowi, formerDKI Jakarta Governor 261112 – the RI President)”
In original language, Bahasa Indonesia: “Kalau lapangan enggak dikuasai, bagaimana membuat
kebijakan? Kalau persoalan enggak saya kuasai di masyarakat, di lapangan bagaimana saya
mendisain sebuah program? (Jokowi, Gubernur Jakarta sebelum Ahok 261112) Presiden RI”
Architecture Department – Faculty of Engineering
University of Indonesia
KampusBaru UI Depok, 16424
Email: [email protected]/085810510540