Indicators and data mapping to measure sustainable development goals (sd gs) targets undp in indonesia

1Indicators and Data Mapping to Measure Sustainable Development Goals (SDGs) Targets
Report
Case of Indonesia 2015
Indicators and Data
Mapping to Measure Sustainable
Development Goals (SDGs)
Targets

2 Indicators and Data Mapping to Measure Sustainable Development Goals (SDGs) Targets

Report
Indicators and Data Mapping
to Measure Sustainable Development
Goals (SDGs) Targets
Case of Indonesia
2015

Bappenas - Badan Perencanaan Pembangunan Nasional
National Planning Agency
BKKBN - Badan Kependudukan dan Keluarga Berencana Nasional
National Family Planning Coordinating Board
BPS - Badan Pusat Statistik
National Statistics Office
BRT - Bus Rapid Transit
CSO - Civil Society Organization
Depkes - Departemen Kesehatan
Health Department
ESDM - Kementerian Energi dan Sumber Daya Mineral
Ministry of Energy and Mineral Resources
Jamsostek - Jaminan Sosial Tenaga Kerja
Workers Social Security Programme
Kemendikbud - Kementerian Pendidikan Dan Kebudayaan
Ministry of Education and Culture
Kemendiknas - Kementerian Pendidikan Nasional
Ministry of National Education
Kemenkes - Kementerian Kesehatan
Ministry of Health
Kemenristek - Kementerian Riset dan Teknologi
Ministry of Research and Technology
Kemensos - Kementerian Sosial
Ministry of Social Affairs
MDG - Millennium Development Goal
MoH - Ministry of Health
NGO - Non-Governmental Organization
OWG - Open Working Group
PODES - Potensi Desa
Village Potential Statistics
Riskesdas - Riset Kesehatan Dasar
Basic Health Research
RPJM - Rencana Pembangunan Jangka Menengah
Mid-Term Development Plan
SDG - Sustainable Development Goal
SUSENAS - Survei Sosial Ekonomi Nasional
National Socio-economic Survey
UKP4 - Unit Kerja Presiden Bidang Pengawasan dan Pengendalian Pemban-
gunan
President’s Delivery Unit for Development Monitoring and Oversight
UNDP - United Nations Development Programme
ACRONYMS

Executive Summary ............................................................................................... 7
Introduction ..................................................................... ........................................ 9
Comprehensive Inventory ..................................................................................... 10
Mapping Results and Challenges on Data Consolidation ....................................... 16
Recommendations ................................................................................................... 19
Annex: SDGs Data Availability Map ......................................................................... 127
CONTENTS

Contact Person:
VERANIA ANDRIA
Programme Manager
Sustainable Development & Energy
United Nations Development Programme - Indonesia
Menara Thamrin Building, 9th Floor
Kav 3 Jl. M.H. Thamrin, Jakarta 10250, Indonesia
verania.andria@undp.org

The Inter-governmental discussion on
Post-2015 agenda has been started
two year ago, highlighting Sustainable
Development Goals (SDGs) as the central
theme. In 2014, the process of formulating
indicative SDGs goals and targets started
in the United Nations General Assembly
Open Working Group (OWG), where the
representative of member states were
negotiating and discussing the possible
goals and targets to be set for Post 2015
Agenda taking into account Millenium
Development Goals (MDGs) platform. A
set of 17 indicative goals and 169 indicative
targets are proposed to member states
for adoption in UN General Assembly in
September 2015. United Nation Statistical
Commission (UNSC) will then facilitate the
indicator formulations process.
In order to be able to measure the
achievements of the SDGs targets, set of
indicators are required and data needs to
be available to apply those indicators. In
that context, UNDP and UNEP supported
government of Indonesia in mapping
availability of relevant indicators and
data that can be used to measure
SDGs. This exercise offers a preliminary
look at the readiness of national data for
individual goal of SDGs, data gap and key
challenges in the context of data system to
measure SDGs. The results of the exercise
are expected to contribute in Indonesia’s
preparation for SDGs implementation and
to support Government of Indonesia in
SDGs negotiation at global forum.
The exercise was conducted through desk
review method by mapping for each SDG’s
Target existing relevant indicators used or
proposed in the national and international
documents: Indonesia National Medium-
Term Development Plan 2015-2019
(RPJMN), MDGs indicators, National
Statistics Agency data on Sustainable
Development (2013), UN Sustainable
Development Solutions Network (SDSN)
and UN Statistics proposed indicators for
SDGs Post 2015. The indicators mapping
then followed by data mapping for each
indicator based on the availabity and
quality of data from National Statistics
Agency (BPS) and line ministries.
The indicators mapping showed 323
relevant national indicators and 220
international indicators (UN-STAT
proposed indicators) can be used to
measure all 17 Goals and 169 Targets.
Data analysis showed that 67.8% of
national indicators are considered “Most
Ready” indicators in terms of availability
and quality of required data, availability of
method for that indicator or applicability
of indicator, adoptability without major
adjustment; and 5.26% are considered
“Not Ready” due to unavailability of data
and required data collection and analysis
methodology. For UN-Stat proposed
indicators, only 37.27% indicators are
considered Most Ready ones and 36.36%
are considered Not Ready indicators for
SDGs in Indonesia. The study recommend
the development of One Data system for
SDGs by involving all line ministries and
National Statistics Angency to ensure data
consistency and timely monitoring of SDGs
implementation Post 2015.
EXECUTIVE SUMMARY
Executive Summary

Pertemuan antar negara telah dimulai sejak
dua tahun lalu membicarakan mengenai
Tujuan Pembangunan Berkelanjutan
(Sustainable Development Goals atau
SDGs). Di tahun 2014, Kelompok Kerja
Terbuka (OWG) dari Sidang Umum
Perserikatan Bangsa-Bangsa telah
mulai memformulasikan tujuan indikatif
dari SDGs. Forum ini menjadi ajang
diskusi dan negosiasi perwakilan negara
anggota dalam menentukan tujuan
dan target pembangunan Pasca 2015
dengan mempertimbangkan Millennium
Development Goals (MDG) sebagai
pijakan. Tujuh belas (17) Tujuan indikatif
dan 169 Target indikatif dihasilkan dari
forum ini untuk mendapatkan persetujuan
dari negara anggota pada Sidang Umum
PBB pada bulan September 2015.
Komisi Statistik PBB (UNSC) selanjutnya
akan memfasilitasi proses penyusunan
indikator.
Untuk dapat mengukur pencapaian
dari Target SDGs, diperlukan perangkat
indikator dan ketersediaan data yang
memungkinkan indikator tersebut untuk
dapat dipergunakan. Dalam konteks
ini, United Nations Development
Progamme (UNDP) dan United Nations
for Environmental Protection (UNEP)
mendukung pemerintah Indonesia
dengan melakukan pemetaan indikator
yang relevan dan ketersediaan data dalam
memonitor pencapaian target SDGs.
Studi ini menawarkan informasi awal
mengenai kesiapan sistem data nasional
untuk mengukur setiap Tujuan dari
SDGs, kekosongan data dan tantangan
terkait sistem data yang diperlukan untuk
mengukur SDGs. Hasil dari kajian ini
diharapkandapatberkontribusipadausaha
Indonesia dalam mengimplementasikan
SDGs dan juga mendukung pemerintah
Indonesia dalam forum-forum negosiasi
global mengenai SDGs.
Studi ini dilakukan dengan menggunakan
metode kajian data sekunder untuk
memetakan ketersediaan indikator yang
relevan untuk setiap Target SDGs. Sumber
data sekunder yang dipergunakan adalah
Rencana Pembangunan Jangka Menengah
Nasional 2015-2019, Indikator MDGs, Data
Badan Pusat Statistik untuk Pembangunan
Berkelanjutan, usulan indikator SDGs Post
2015 yang diajukan oleh UN Sustainable
Development Solutions Network (SDSN)
dan UN Statistics. Pemetaan ketersediaan
indikator ini kemudian dilanjtukan dengan
pemetaan ketersediaan data dan kualitas
data untuk menggunakan indikator tersbut
dengan mengacu pada Badan Pusat
Statistik Nasional dan data yang tersedia
di kementrian terkait.
Hasil pemetaan indikator menunjukkan
323 indikator nasional dan 220 indikator
internasional (diusulkan oleh UN-Statistik)
yang relevan dan dapat digunakan untuk
mengukur 17 Tujuan dan 169 Target
SDGs. Hasil analisa data menunjukkan
bahwa 67.8% indikator nasional termasuk
kategori “Sangat Siap Digunakan” karena
ketersediaan dan kualitas data, kesiapan
metodologi untuk menghitung indikator
dan kesiapan indikator tersebut untuk
diadopsi tanpa perubahan yang signifikan;
sementara 5.26% indikator masuk dalam
kategori “Tidak Siap Digunakan” karena
ketidaktersediaan data dan metodologi
penghitungan. Untuk indikator yang
diusulkan oleh UN-Statistics, hanya
37.27% indikator yang termasuk kategori
“Sangat Siap Digunakan” dan 36.36%
termasuk “Tidak Siap Digunakan” sebagai
indikator SDGs di Indonesia. Studi ini
merekomendasikan dibentuknya sistem
Satu Data untuk SDGs dengan melibatkan
semua kementrian terkait dan Badan Pusat
Statistik untuk memastikan konsistensi
data dan monitoring implementasi SDGs
Pasca 2015.
RINGKASAN EKSEKUTIF
Ringkasan Eksekutif

A process to develop a set of Sustainable
Development Goals (SDGs) has been
launched as part of the main outcome
of Rio+20 Conference. The process
formulates appropriate goals of SDGs as
the continuation of MDGs that will expire
at the end of 2015.
Since it rose first time in 2012, SDG has
been extensively discussed covering
various topics that can be outlined into
six essential elements as stated by UN
Secretary General: (1) Dignity: to end
povertyandfightinequality(2)prosperity:to
grow a strong inclusive and transformative
economy (3) Justice: to promote safe and
peaceful societies and strong institutions
(4) Partnership: to catalyse global society
for sustainable development (5) Planet:
to protect our ecosystems for all societies
and our children (6) People: to ensure
healthy lives, knowledge and the inclusion
of women and children.
The Open Working Group (OWG) on the
SDG released a set of 17 proposed goals
and 169 targets. Therefore, every member
country needs to prepare and provide
recommendation to intergovernmental
negotiation on its priority targets and
indicators. The country preparation
means opportunity to reconcile innovative
indicators to be proposed as well as
refreshed indicators that need to be
adjusted according to each country
characteristics.
Indonesia preparation on post 2015
agenda has been done so far by involving
several agencies such Bappenas and
BPS. UNDP Indonesia is actively assisting
the government of Indonesia in the
preparation. This assessment is one of
UNDP Indonesia effort to provide a support
tools for Indonesia in negotiation process.
This report compiles a range of indicators
that fit to proposed SDG framework
for a well-defined goals with sufficient
indicators. Each Goal has different number
of target as well as the indicators. By
compiling relevant indicators, then we can
assess data availability for each compiled
indicators, data gaps, challenges and
recommendations that are needed to
measure the indicators.
Employingdeskreviewsmethod,thisreport
developed to review national documents
as the key references and using relevant
global reports such UN Stat. The following
documents were used as main source of
indicators for the proposed SDGs: from
national agencies are BPS and RPJMN
2015-2019; from international is UN-Stat.
This report started with the inventory of
data availability for each Goal in Section 1,
thenfollowedbythesummaryofchallenges
we found during the data consolidation
in Section 2. Some recommendations are
found in Section 3.
INTRODUCTION
This SDGs Data Mapping exercise
helps us to estimate readiness of
Indonesia in applying proposed
SDGs indicators to measure SDGs
targets; for which indicator data
improvement is required and
where the data gaps exist.
Introduction

0
10
20
30
40
50
60
70
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Sustainable DevelopmentGoals
Number of National and InternationalIndicators
Relevantfor SDGs
Numberof National Indicators
Numberof International Indicators
0
10
20
30
40
50
60
70
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Number of National and InternationalIndicators
Relevantfor SDGs
0
10
20
30
40
50
60
70
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Number of National and InternationalIndicator
Relevantfor SDGs
Goal 1: by 2030, eradicate
extreme poverty for all people
everywhere, currently measured
as people living on less than
$1,25 a day
Source: Goal 1 proposes 40 indicators.
The goal focuses on poverty reduction
which is the most important issue in the
world. Poverty is one of the MDG’s goals.
Therefore, many measurable indicators
are available either in international data
repositories or in national statistical
agencies. More than half indicators come
from national sources. One third indicators
are proposed by UN-Stat.
Availability: Most of indicators have been
measured and the data are available in
national agencies such as BPS, Bappenas,
Susenas, KemenSos, DepKes, Jamsostek
and KemenRisTek. Some indicators
collected from UN-Stat are not available
because they have been proposed for
SDGs indicators quite recently. These data
will be developed and possibly measured
in Indonesia.
Goal 2: End hunger, achieve
food security and improved
nutrition, and promote
sustainable agriculture
Source: This goal focuses on hunger and
food security which are almost debated
within organizations especially after being
one of the MDG’s goals. Many measurable
indicators are available in international
data repositories and national data
repositories.
SECTION 1: INVENTORY OF SDGS RELEVANT
INDICATORS
Fig. 1 Number of indicators from national agencies and UN-Stat
Section 1: Inventory of SDGS Relevant Indicators

Availability: In total 34 indicators are
proposed for goal 2. Most of indicators
have been measured and the data are
available in national agencies such as BPS,
Bappenas, Susenas, KemenSos, DepKes,
Jamsostek and KemenRisTek. Some
indicators collected from UN-Stat are not
available because the indicators are more
specific. Indonesia’s national agencies have
not yet developed a research or survey to
measure these non-available indicators.
Goal 3: Ensure healthy lives and
promote well-being for all at all
ages
Source: Goal 3 focuses on health which
is very important for human being. For
more than a decade, many organizations
developed indicators to achieve the
targets of a significant improvement
in human health and access for health.
Health indicators have a high level of data
availability and a high reporting frequency
as compared to other indicators.
Availability: Most of indicators have been
measured and the data are available in
national agencies such as BPS, Bappenas,
Susenas, KemenKes, MoH, Riskesdas,
and BKKBN. The data are available for
a long time. Whereas, some indicators
collected from international organization
are not available online, although they are
important parameter to reach the targets.
We suggest that the unavailable indicators
need to be simplified and measured by
different approach.
Goal 4: Ensure inclusive and
equitable quality education
and promote life-long learning
opportunities for all
Most of indicators are available and found
in National Statistical Agency (BPS) online
and Ministry of Education (Kemendiknas).
However, some approaches are required
so the measurement of the indicators
would be more accurate. These include
additional explanation, scope or details on
the required data:
• Number of 15-year old students
showing proficiency in knowledge of
environmental science and geoscience
• Number of 13-year old students
endorsing values and attitudes
promoting equality, trust and
participation governance
• Numberofeducationfacilities providing
effectivelearningenvironment(Indicator
4.a)
Recommended approaches to fill this
data gap are consultations with Ministry of
Education for the information on trained
teacher and available scholarships. There
are foreign related institutions providing
scholarships that relevant as sources
Goal 5: Achieve gender equality
and empower all women and
girls
Most of indicators are available in national
agencies such as BPS, Bappenas, Susenas
and KemenDikBud. Whereas, some
indicators collected from UN-Stat are
not available because they have been
proposed for SDG indicators quite recently.
From my perspective, these indicators are
important, measurable and best in line
with international standard, so they need
to be develop further.

Goal 6: Ensure availability and
sustainable management of
water and sanitation for all
Goal 6 has 27 indicators. More than half
of indicators are not available in national
agencies such as BPS, Bappenas and
Susenas. It is because the indicators are
mostly developed recently by international
agency such as UN-Stat.
Goal 7: Ensure access to
affordable, reliable, sustainable,
and modern energy for all
However, their data availability can be
assessed through relevant institution using
in-depth interview with personal at relevant
institutions:
• Bappenas: international cooperation
project on energy access
• ESDM: energy efficiency of various
sectors, related incentive on low carbon
energy at electricity sector
Goal 8: Promote sustained,
inclusive and sustainable
economic growth, full and
productive employment and
decent work for all
At least 16 indicators are currently available
on various publications. Some indicators
are unavailable due to lack of methodology
of data collection. Others, data required
can be gathered from relevant institution.
Goal 9: Build resilient
infrastructure, promote inclusive
and sustainable industrialization
and foster innovation.
We assess that 9 indicators are available,
while 6 indicators need more effort to
conductmeasurement.Availableindicators
can be collected through BPS publications
as well as from ministry’s statistic.
Goal 10: Reduce inequality
within and among countries
More than half of indicators are available.
We consider the availability since it can
be found in publications. Unavailable
indicators are required to be discussed
more to find alternate approach as well as
methods of the measurement.
Goal 11: Make cities and human
settlements inclusive, safe,
resilient and sustainable
Most of indicators data collected from
International agencies are not available
in national agencies such as BPS and
Bappenas. It is because the indicators
are more specific and completely new for
Indonesia.Forexample:kmofhighcapacity
(BRT, light rail, metro) public transport per
person for cities with more than 500,000
inhabitants (source: UN-Stat). Indonesia’s
national agencies have not yet developed
a research or survey to measure these non-
available indicators, eventually it will be
proposed to the government.

Goal 12: Ensure sustainable
consumption and production
patterns
Approximately 50 percent of indicators
are available. We’re seeking alternative
and approach so the indicators can be
measured aligned with Goal 12.
Goal 13: Take urgent action to
combat climate change and its
impacts
More than half of indicators data collected
fromInternationalagenciesarenotavailable
in BPS and Bappenas. It is because the
indicators are new for Indonesia. Indonesia
has not yet developed a research or survey
to measure these non-available indicators.
For example: indicators for target 13.3
related with % of population with increased
knowledge on climate change (source:
UN-Stat).
Goal 14: Conserve and
sustainably use the oceans,
seas and marine resources for
sustainable development
from International agencies are not
available in BPS and Bappenas. It is
because the unavailable indicators have
not been measured at a larger scale such
as at country or regional level. Mostly they
are measured by International agencies
at small scale while the data are not
accessible.
Goal 15: Protect, restore
and promote sustainable use
of terrestrial ecosystems,
sustainably manage forests,
combat desertification, and halt
and reverse land degradation
and halt biodiversity loss
from national sources. Half out of the
total indicators are coming from UN-Stat
and the data are not fully available. It is
because the unavailable indicators have
not been regularly measured at a larger
scale such as at country or regional level.
Mostly they are measured by International
agencies at small scale while the data are
not accessible.
Goal 16: Promote peaceful and
inclusive societies for sustainable
development, provide access to
justice for all and build effective,
accountable and inclusive
institutions at all levels
There are 61 indicators that will be
proposed for goal 16. The indicators are
mostly coming from national sources and
only small part of indicators are listed in
UN-Stat.
Goal 17: Strengthen the means
of implementation and revitalize
the global partnership for
sustainable development
Our preliminary assessment shows that
less than 10 indicators were collected from
national sources. Most of indicators are
suggested by UN-Stat. In total there are
39 indicators proposed for goal 17.

Throughout the exercise of mapping
indicators and their data availability, we
identified that the data indicator can
be categorised based on its availability,
relevance, collecting method and
comparability. The following table shows
how selected indicators categorize into
three groups:
SECTION 2: MAPPING RESULTS AND CHALLENGES ON
DATA CONSOLIDATION
Table 1. Three different groups of indicators based on the identification of data
availability and data gaps
Type of indicators Notes
• The data is available in Indonesian Ministries and
Agencies
• The indicators are ready to be adopted without any
major adjustment
• The quality of the data is good (timely data, based on
survey, available at least at the provincial level
• The indicators are feasible (methodology exists,
measurable and accountable).
• Indicator requires data that need to be improved,
adjusted or modified based on existing national data.
• Only some of the required data are available
• The data was collected from small, unique sample
research and not timely base
• The data is not well integrated. They are spread through
different agencies
• The data only available at national level, not at smaller
level (e.g district, city or village level)
• The data is not available
• The indicators are not feasible.
• The indicators require data collected from new
methodology or approach
Group 1
(The most ready
indicators)
Group 2
(ready)
Group 3
(not ready)
Section 2: Mapping Results and Challenges on Data Consolidation

The following table shows the summary
of assessment result for each indicators
based on the above categories:
Table 2. National indicators vs UN-Stat indicators
Goals
National Indicators UN-Stat Indicators
No. Of
Indicators
Most
Ready
Ready
Not
Ready
No. Of
Indicators
Most
Ready
Ready
Not
Ready
Goal 1 32 21 11 0 11 7 1 3
Goal 2 27 23 8 2 9 5 3 1
Goal 3 69 55 16 4 17 13 0 4
Goal 4 8 8 0 0 6 2 4 0
Goal 5 26 23 2 1 13 6 2 5
Goal 6 21 15 6 0 10 4 1 5
Goal 7 2 2 0 0 8 3 5 0
Goal 8 22 5 12 5 10 5 4 1
Goal 9 1 1 0 0 8 2 4 2
Goal 10 8 8 0 0 12 5 7 0
Goal 11 8 8 0 0 14 7 4 3
Goal 12 2 1 1 0 18 0 6 12
Goal 13 4 4 0 0 5 1 0 4
Goal 14 5 3 2 0 14 8 4 2
Goal 15 35 25 10 0 18 9 1 8
Goal 16 48 12 19 5 13 0 9 4
Goal 17 5 5 0 0 34 5 3 26
Total 323 219 87 17 220 82 58 80
% 67.80 26.93 5.26 37.27 26.36 36.36
As shown in table 2 and figure 2, out of
the 323 national indicators, 219 indicators
(67.8 percent) were evaluated as the most
ready indicators (group 1) that are available
with high quality data, feasible and very
relevant. Eighty seven national indicators
(26.93percent)werecategorizedasgroup2
(ready), meaning that those indicators were
consideredreadywithfurtherimprovement
and analysis. Seventeen (5.26 percent)
were placed in second group, meaning
that they were considered not ready to be
implemented because it will need strong
effort and timely consuming. In total UN-
Stat proposed 220 indicators, 82 indicators
(37.27 percent) were grouped in the most
ready indicators. Fifty eight indicators
proposed by UN-Stat (26.36 percent) were
evaluated as ready and 80 indicators (36.36
percent) were categorized as not ready.

Currently we are at the beginning step of
the SDG development where we propose
the target’s indicators by pulling together
indicators from different relevant resources.
Some technical challenges appear during
indicators mapping. It is related to
methodology, data scope, data certainty
and visibility of indicator. The deadline of
SDG program in 2020 is fast which means
the concerted efforts are needed to achieve
the targets and address the challenges.
Therefore, proposing the proper indicators
will be very important. Adequate capacity
of national agencies and commitment are
also will required to reach the targets.
Fig. 2 Percentage of proposed indicators from national and UN-Stat and
groped into most ready, ready and not ready
0 10 20 30 40 50 60 70 80
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
SustainableDevelopmentGoals
Readiness of National Indicatorsas SDGs Indicators
MostReady Indicators ReadyIndicators NotReady Indicators
0 5 10 15 20 25 30 35 40
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
SustainableDevelopmentGoals
Readiness ofInternational Indicatorsas SDGs Indicators inIndonesia
MostReady Indicators ReadyIndicators NotReady Indicators
The identified key challenges through the
process of indicator mapping are follows:
1. Data availability. Data provided by
national agencies (BPS or relevant
ministries) are available in regular basis
of publications. Meanwhile, some data
found in the media are not available
regularly. They need to be gathered
using additional method such interview,
focus group discussion or expert
justification.
2. Lack of the high quality data. The
success of target monitoring depends
on the availability of timely data,
consistent, reliable, and accurate data.
The SDG indicators especially proposed
by national agencies suffer greatly from
lack of the high quality data due to the
improper methods and data control.
3. Lack of information about the survey or
data collection. The available data in
BPS and RPJM are not always provided
with information of data collector, data
owner, level of data, frequency of data
collection and the scope of data. The
whole information are needed when we
want to develop baseline and want to
validate the data.
4. Data validation. The data that are
published by national data repositories
available in national, province and
district level, but some of them are
different with data at local level (such
as PODES). Then the national agencies
and local agencies should synchronize
the data. To enhance the quality of the
data, the data need to be validated at a
local scale such as at village level even
at household level or community level.
5. Inadequate data series. The
measurement of data is only collected
at one point in time or one time data
collection. Several indicators do not

have data on the base year of (2014
or 2015) to allow values for target year
to be derived. We cannot measure the
performance of attaining the targets
when we only have one data. The data
should be collected frequently in a
period of time.
6. The target’s indicators are too ambitious
and unrealistic. The indicators should be
designed not only for defining success
and failure but also for valuing the
performance even though we do not
perform in a significant result. If we set
the target too ambitious, we will come
up with a failure result. For example
Indonesia will be able to increase the
access to water and sanitation by half.
It may sound unrealistic target.
7. Someoftheindicatorsmeasureprogress
in terms of development outcomes
(such as reducing maternal mortality)
instead of development outputs (such
as enrolling girls in school). Whereas
achieving outcomes is a longer and
more difficult process than achieving
output targets. Otherwise, the SDG is
only focus on relatively short term and
concrete targets
8. The unit measurement is not applicable.
The indicators are not measured by a
proper measurement unit. For example
the number of villages that establishes
organic farming which means organic
farming has been implemented fully in
one village. In reality, the percentage
of area that has been used for organic
farming do not reach one third of the
village area. Then we cannot measure it
as one village. The proposed indicator
should be the number of organic
farming and the area size.
9. The indicators are too specific. It will
be difficult to collect the data if the
indicator is too specific. For example
the persentage of the districts policy
readiness in responding to public
health emergencies that has plague
potential and women partisipation
level in the sustainable livelihood
group. (Persentase Kab/Kota yang
mempunyai kebijakan kesiapsiagaan
dalam penanggulangan kedaruratan
kesehatan masyarakat yang berpotensi
wabah and Tingkat partisipasi
perempuan dalam Kelompok
Penghidupan Berkelanjutan)

Based on the assessment result as stated
in Section 1 and Section to, we proposed
several recommendations as follows:
1. Developing additional methods: To
fill the gaps of various data category,
it is important to develop additional
methods such deep interview, survey,
focus group discussion and expert
judgment.
2. Consultations with relevant stakeholder
are important to ensure that proposed
SDG adoption will align with the
national development. There are two
type of consultation needed
a. Data level consultation that aims to
find solutions to upscale the data
collection at certain level needed.
b. Subject-based consultation that aim
to discuss each relevant subject with
relevant institution such government
agencies, NGO/CSO or research
agencies
3. The indicators proposed by RPJM 2015-
2019 should provide verifiable data.
4. The SDGs should improve quality and
frequency of the data compare with
MDGs. Nationally, Indonesia would
be capable to provide annual data
collection with higher quality of data.
5. Theindicatorsshouldfocusonoutcomes
such as ending extreme poverty. The
different between outcomes and
outputs need to be clearly clarified
to ensure the accountability of the
indicators.
6. The preparation of collecting indicators
and coordinating data will be better
if it is led by one specialised agency
to ensure harmonization and avoid
overlapping
7. The indicators should be clear, simple,
easy to collect, easy to interpret and
communicate.
8. The data requirement should be pooled
in one data bank. UNDP, UKP4 and
Bappenas has developed ‘Satu Data’
as a pioneer to put in place common
platform the available governance
data among Indonesian Ministries and
Agencies.
SECTION 3: RECOMMENDATIONS

Section 4: Data Availability Map
SECTION4:DATAAVAILABILITYMAP
Goal1.EndPovertyinAllItsFormsEverywhere
NoTargetNo.Indicator
Indicator
Source
CategoriesDataRequired
Data
Source
Time
Series
DataLevel
1.1by2030,
eradicate
extremepoverty
forallpeople
everywhere,
currently
measuredas
peoplelivingon
lessthan$1,25
aday
1.1.1Persentase
pendudukyang
hidupdibawah$1,25
(PPP)perhari
BPS,
MDGs,
UN-Stat
mostreadyPersentasependudukyang
hidupdibawah$1,25per
hari(jumlahpenduduk
miskinyanghidupdibawah
$1,25perhari/total
jumlahpenduduk*100%)
BPS,MDG2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
national
Jumlahpendudukmiskin
menurutprovinsi/
Numberofpoorpeopleby
province
BPS1970-
2013
province,
kota,desa
Persentasependuduk
miskinmenurutprovinsi/
percentageofpoorpeople
byprovince
BPS1970-
2013
province,
kota,desa
Gariskemiskinanmenurut
provinsi/Povertylineby
province
BPS1970-
2013
province,
kota,desa
1.1.2Persentase
pendudukyang
hidupdibawahgaris
kemiskinannasional,
dibedakanmenurut
perkotaandan
pedesaan
BPS,RPJM
2015-2019,
MDGs
mostreadyPersentasePenduduk
Miskin
BPS2007-
2014
province
1.1.3rasiokesenjangan
kemiskinan
RPJM2015-
2019,MDGs
mostreadyaverageoftheextreme
poor'sincomes
BPS,
susenas
2000,
2005,
2008
national

Indicator
Source
Data
Source
Time
Series
DataLevel
numberofpopulation
livingbelow$1,25
BPS2007-
2014
province
totalnumberofpopulationBPS1971-
2010
village,prov-
ince
thepovertygapandis
calculatedasthesum
oftherelativedistance
betweenthepoverty
line(z)andincomeor
consumptionforthose
whoarepoor(thenon-
poorhaveapovertygap
ofzero).I(.)isanindicator
functionthatequals1if
thebracketedexpression
istrue,and0otherwise.N
isthetotalpopulation.
1.1.4presentase
pendudukmiskin
padalevelkonsumsi
nasional
MDGsmostreadyShareofpoorestquintilein
nationalconsumption
BPS1990
1993
1996
1999
2002
2005
2008
2010
2011
national
1.2by2030,reduce
atleastbyhalf
theproportion
ofmen,women
andchildrenof
allagesliving
inpovertyinall
itsdimensions
according
tonational
definitions
1.2.1Indekskemiskinan
multidimensi(MPI)
UN-StatnotreadyMPI=H*A;where
multidimensionalpoverty
headcountratio(H),
astheproportionof
thepopulationthatis
multidimensionallypoor.
Anyonewhoisdeprived
inmorethanthree(one
third)oftheindicatorsis
includedintheheadcount.
UNDP(MPI-
OPHI),Susenas
2007national

Indicator
Source
Data
Source
Time
Series
DataLevel
(A)whichindicatesthe
averageintensityof
poverty
UNDP(MPI-
OPHI),Susenas
2007national
1.2.2Persentase
pendudukyang
hidupdibawahgaris
kemiskinannasional
UN-StatmostreadyPersentasePenduduk
Miskin
BPS2007-
2014
province
1.3implement
nationally
appropriate
socialprotection
systemsand
measuresforall,
includingfloors,
andby2030
achivesubtantial
coverageofthe
poorandthe
vulnerable
1.3.1Persentase
penduduk
yangtercakup
dalamprogram
perlidungansosial
BPS,MDGs,
UN-Stat
mostreadythepercentageofthe
populationcoveredby
thesesocialsafetynets
JamSosTek2000-
2010
national
1.3.2JumlahPenduduk
yangmenjadi
pesertapenerima
bantunan(PBI)
melaluiKartu
IndonesiaSehat(KIS)
RPJM2015-
2019
mostreadyJumlahpendudukyang
menjadipesertapenerima
bantuan(PBI)melaluiKartu
IndonesiaSehat(KIS)
KemenKes,
Riskesdas
2013national
1.3.3Jumlahkeluarga
sangatmiskin
yangmemperoleh
bantuantunai
bersyaratdan
memperoleh
pendampingan
RPJM2015-
2019
mostreadyJumlahkeluargasangat
miskinyangmemperoleh
bantuantunaibersyarat
danmemperoleh
pendampingan
KemenKes,
Riskesdas
2013national

Indicator
Source
Data
Source
Time
Series
DataLevel
1.3.4Jumlahkeluarga
sangatmiskin
penerimabantuan
bersyaratyang
mengikuti
pertemuan
peningkatan
kemampuan
keluarga
RPJM2015-
2019
mostreadyJumlahkeluargasangat
miskinpenerimabantuan
bersyaratyangmengikuti
pertamuanpeningkatan
kemampuankeluarga
KemenKes,
Riskesdas
2013national
1.3.5Jumlahanak
penyandang
disabilitasdalam
keluargayang
memperoleh
bantuantunai
pendampingan
RPJM2015-
2019
readyJumlahanakpenyandang
disabilitasdalamkeluarga
yangmemperolehbantuan
tunaipendampingan
KemenSos2014national
1.3.7Jumlahkabupaten/
kotayangmemiliki
regulasiuntuk
pengembangan
akseslingkungan
inklusidbagi
penyandang
disabilitas,lanjut
usia,dananak
RPJM2015-
2019
readyJumlahkabupaten/kota
yangmemilikiregulasi
untukpengembangan
akseslingkunganinklusid
bagipengandang
disabilitas,lanjutusia,dan
anak
Bappenas2014national
1.3.8Jumlahmasyarakat
marjinaltermasuk
masyarakatadat,
korbanpenyalah
gunaanNAPZA,
ODHAyang
memperoleh
pelayanandan
rehabilitasi(Jiwa)
RPJM2015-
2019
mostreadyJumlahmasyarakat
marjinaltermasuk
masyarakatadat,korban
penyalahgunaanNAPZA,
ODHAyangmemperoleh
pelayanandanrehabilitasi
(Jiwa)

Indicator
Source
Data
Source
Time
Series
DataLevel
1.3.11Averagesocial
protectiontransfers
as%ofincome
orpovertyline
(rata-ratakiriman
perlindungansosial
daripersentase
pendapatandan
gariskemiskinan)
UN-StatmostreadyAveragesocialprotection
transfersas%ofincomeor
povertyline
1.4by2030ensure
thatallmen
andwomen,
particularlythe
poorandthe
vulnerable,have
equalrights
toeconomic
resources,as
wellasaccessto
basicservices,
ownership,and
controlover
landandother
formsofpoverty,
inheritance,
natural
resources,
appropriatenew
technology,and
financialservices
including
microfinance
1.4.1jumlahakses
terhadap
sumberdaya
tanahdanjumlah
bidangtanahyang
bersertifikat
RPJM2015-
2019
mostreadyjumlahaksesterhadap
sumberdayatanahdan
jumlahbidangtanahyang
bersertifikat
Bappenas,
BPN
national
1.4.2Persentase
pendudukterhadap
aksesjasakeuangan
formal/perbankan
dankreditusaha
BPS,RPJM
2015-2019
mostreadyPersentasependuduk
terhadapaksesjasa
keuanganformal/
perbankandankredit
usaha
worldbank,
MenKeu,OJK
2011national
1.4.3Jumlahbidangtanah
yangbersertifikat
diperdesaan
(persentaserealisasi
terhadaptarget
sertifikasitanahdi
perdesaan)
BPSmostreadyJumlahbidangtanahyang
bersertifikatdiperdesaan,
Persentaserealisasi
terhadaptargetsertifikasi
tanahdiperdesaan
Bappenas,
BPN
national
1.4.4Pengembangan
saranadanprasarana
airirigasiuntuk
pertanian(unit)
RPJM2015-
2019
mostreadyPengembangansaranadan
prasaranaairirigasiuntuk
pertanian(unit)
PU,KemenTan2014national
1.4.5Jumlahperluasan
ArealCetakSawah
(ha)
RPJM2015-
2019
mostreadyJumlahperluasanAreal
CetakSawah(ha)
KemnTan2014national

Indicator
Source
Data
Source
Time
Series
DataLevel
1.4.6Aksesterhadap
sumberpembiayaan
(kreditprogram)
RPJM2015-
2019
mostreadyAksesterhadapsumber
pembiayaan(kredit
program)
BI,OJK,BPR2014national
1.4.7Jumlahkeluarga
kurangmampu
danrentanyang
menerimabantuan
stimulanusaha
ekonomi,baikdi
perdesaanmaupun
perkotaan
RPJM2015-
2019
readyJumlahkeluargakurang
mampudanrentan
yangmenerimabantuan
stimulanusahaekonomi,
baikdiperdesaanmaupun
perkotaan
1.4.8Jumlahkeluarga
kurangmampu
danrentanyang
menerimapelatihan
keterampilandan
penyaluranke
lapangpekerjaan
RPJM2015-
2019
readyJumlahkeluargakurang
mampudanrentanyang
menerimapelatihan
keterampilandan
penyalurankelapang
pekerjaan
1.4.9proporsirumah
tanggayang
memilikiakses
terhadappelayanan
dasar
UN-StatmostreadyProportionofpopulation/
householdswithaccess
tobasicservices(tobe
defined)
BPS1990-
2013
national
1.4.10proporsipenduduk
dewasayang
memilikilegal
tenurialdan
terdokumentasi
secaraaman
UN-Statmostreadyproporsipendudukdewasa
yangmemilikilegaltenurial
danterdokumentasisecara
aman
BPNnational

Indicator
Source
Data
Source
Time
Series
DataLevel
1.5By2030,build
theresilience
ofthepoor
andthosein
vulnerable
situations,
including
through
assistanceto
thoseaffected
bycomplex
humanitarian
emergencies,
andreducetheir
exposureand
vulnerabilityto
climate-related
extremeevents
andother
economic,
socialand
environmental
shocksand
disasters
1.5.1Jumlahkorban
bencanaalamyang
meninggaldunia
dankerugianakibat
bencanaalamdalam
rupiahdanUS$
BPS,RPJM
2015-2019
mostreadyJumlahkorbanbencana
alamyangmeninggal
dunia
BNPB,
KemenSos
national
kerugianakibatbencana
alamdalamrupiahdan
US$
BNPB,
KemenSos
national
Jumlahkerusakanrumah
akibatbencanaalam
menurutprovinsidan
kondisikerusakan
BNPB,
KemenSos
national
1.5.2JumlahKotayang
terfasilitasidalam
penyusunanPerda
Pengelolaan
Lingkungan,Mitigasi
Bencanadan
AntisipasiDampak
PerubahanIklim
dalamPengelolaan
Perkotaan
RPJM2015-
2019
mostreadyJumlahKotayang
terfasilitasidalam
penyusunanPerda
PengelolaanLingkungan,
MitigasiBencanadan
AntisipasiDampak
PerubahanIklimdalam
PengelolaanPerkotaan
Renstra,
Bappenas,
Riskesdas
2013national
1.5.3JumlahLokasi
KegiatanFasilitasi
Kesiapsiagaan
RPJM2015-
2019
mostreadyJumlahLokasiKegiatan
FasilitasiKesiapsiagaan
Bappenasnational
1.5.4Sarana/prasarana
pengendalianbanjir
yangdibangun
RPJM2015-
2019
readySarana/prasarana
pengendalianbanjiryang
dibangun
PU,Bappenasnational
pengendalianlahar/
sedimenyang
dibangun
RPJM2015-
2019
pengendalianlahar/
sedimenyangdibangun
PU,Bappenasnational

Indicator
Source
Data
Source
Time
Series
DataLevel
pengamanpantai
yangdibangun
RPJM2015-
2019
pengamanpantaiyang
dibangun
PU,Bappenasnational
pengendalianbanjir
yangdioperasikan
dandipelihara(km)
RPJM2015-
2019
pengendalianbanjir
yangdioperasikandan
dipelihara(km)
PU,Bappenasnational
1.5.8Jumlahsarprasyang
dialokasikanbagi
pusatdandaerah
dalamrangka
pencegahandan
penanggulangan
Bencanaserta
bahayakebakaran
RPJM2015-
2019
readyJumlahsarprasyang
dialokasikanbagipusat
dandaerahdalam
rangkapencegahandan
penanggulanganBencana
sertabahayakebakaran
BNPB,
KemenSos
national
1.5.9jumlahdaerah
yangditingkatkan
kapasitasaparatnya
dalamupaya
penanggulangan
bencanadanbahaya
Kebakaran
RPJM2015-
2019
readyjumlahdaerahyang
ditingkatkankapasitas
aparatnyadalamupaya
penanggulanganbencana
danbahayaKebakaran
BNPB,
KemenSos
national
1.5.10jumlahbantuan
stimulandaerah
rawanbencanaalam
danbencanasosial
didaerahtertinggal
RPJM2015-
2019
readyjumlahbantuanstimulan
daerahrawanbencana
alamdanbencanasosialdi
daerahtertinggal
BNPB,
KemenSos
national
1.5.11jumlahpenduduk
yangterancam
bencana
UN-StatnotreadyNumberofpeopleaffected
byhazardousevents
BNPB,
KemenSos
national
1.5.12jumlahfasilitas
kesehatandan
pendidikanyang
terancambencana
UN-StatreadyProportionofhealthand
educationalfacilities
affectedbyhazardous
events
KemenSos,
Riskesdas
national

Indicator
Source
Data
Source
Time
Series
DataLevel
1.5.13indekskemiskinan
multi-dimensional
UN-StatnotreadyMPI=H*A;where
multidimensionalpoverty
headcountratio(H),
astheproportionof
thepopulationthatis
multidimensionallypoor.
Anyonewhoisdeprived
inmorethanthree(one
third)oftheindicatorsis
includedintheheadcount.
1.5.14persentase
pendudukmiskin
yangterpapar
bencana
BPSmostreadypersentasependuduk
miskinyangterpapar
bencana
BPS,BNPBnational
1.5.15persentase
pendudukyang
dilindungiprogram
sosial/asuransi
BPSmostreadypersentasependudukyang
dilindungiprogramsosial/
asuransi
BPS,DepSosnational
1.5.16persentase
penduduk
yangmenerima
perlindungan
kesehatanseperti
BPJS
BPSmostreadypersentasependudukyang
menerimaperlindungan
kesehatansepertiBPJS
BPJS,
Rinkesdas
national

Goal2.Endhunger,achievefoodsecurityandimprovednutrition,andpromotesustainable
agriculture
Indicator
Source
Data
Source
TimeSeriesDataLevel
2.1by2030end
hungerand
ensureaccess
byallpeople,
inparticularthe
poorandpeople
invulnerable
situations
includinginfants,
tosafe,nutritious
andsufficient
foodallyear
round
2.1.1proporsipenduduk
denganasupan
kaloriminimum
2000kal/kapita/
hari
BPS,MDGsmostreadyproporsipendudukdengan
asupankaloriminimum
2000kal/kapita/hari
BPS19911992
19931994
19951996
19971998
19992000
20012002
20032004
20052006
20072008
20092010
20112012
2013
national
2.1.2Prevalensi
kekurangangizi
padaanakbalita
(persen)
RPJM
2015-2019,
MDGs,UN-
Stat
mostreadyPrevalensikekurangangizi
(underweight)padaanak
balita(persen)
BPS,
Susenas
19921995
19981999
20002001
20022003
20042005
20072010
national
2.1.3persentaseakses
panganbernutrisi
RPJM2015-
2019
notreadypersentaseaksesuntuk
panganbernutrisi
2.1.4jumlahlumbung
panganyang
diberdayakan
(Unit)
RPJM2015-
2019
mostreadyJumlahlumbungpangan
yangdiberdayakan(Unit)
Bulog,
KemenTan
2.1.5SkorPolapangan
Harapan(nilaiPPH)
RPJM2015-
2019
mostreadySkorPolapanganHarapan
(nilaiPPH)=persentase
angkakecukupanenergi
(%AKE)/angkakecukupan
gizi(AKG)setiapgolongan
bahanpangan*bobotsetiap
golonganbahanpangan
KemenTan,
Litbang
Pertanian,
BKP,BPS
Susenas
2005-2010province

Indicator
Source
Data
Source
TimeSeriesDataLevel
2.1.6Pengembangan
Lembaga
UsahaPangan
Masyarakat
(Gapoktan)
RPJM2015-
2019
readyPengembanganLembaga
UsahaPanganMasyarakat
(Gapoktan)
BKP,BKPD
2.1.7rata-ratajumlah
makananyang
tersediauntuk
konsumsiperhari
BPSmostreadyRataRataKonsumsiKalori
danProteinperKapitaper
Hari
BPS2007-2013province
2.1.8Prevalensi
pendudukrawan
pangandilevel
sedangatau
beratberdasarkan
FoodInsecurity
ExperienceScale
(FIES)
UN-Statnotreadypendudukrawanpangandi
levelsedang
pendudukrawanpangandi
levelberat
2.2by2030end
allformsof
malnutrition,
including
achieving
by2025the
internationally
agreedtargets
onstunting
andwastingin
childrenunder
fiveyearsofage,
andaddressthe
nutritionalneeds
ofadolescent
girls,pregnant
andlactating
women,and
olderpersons
2.2.1Prevalensianemia
padaibuhamil(%)
RPJM2015-
2019
mostreadyPrevalensianemiapadaibu
hamil(%)
Riskesdas,
Dinkes
2010-2013national
2.2.2prevalensibalita
dengankeadaan
kekurangangizi
danmemilikiberat
kurangdarinormal
BPS,RPJM
2015-2019,
MDGs,UN-
Stat
mostreadyprevelensibalitadengan
kondisikuranggizidanberat
yangkurangdarinormal
DepKes,
Bappenas
19921995
19981999
20002001
20022003
20042005
20072010
national
2.2.3proporsipopulasi
yangberada
mengkonsumsi
nutrisidibawah
minimumlevel
energikonsumsi
BPS,MDGsmostreadyrata-ratakonsumsikalori
perkapitaseharimenurut
kelompokmakanan
BPS1999,2002-
2013
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
2.2.4persentasebayi
kurangdari
6bulanyang
mendapatkanASI
ekslusif
RPJM2015-
2019
readypersentasebayikurangdari6
bulanyangmendapatkanASI
ekslusif
DepKes
2.2.5persentasebalita
terlantar
BPSmostreadypersentasebalitaterlantarKemSos,
BPSSusenas
2003,2006,
2009
national
2.2.6Prevalenceof
overweight
childrenunder
5yearsofage
(prevelensibalita
yangkelebihan
beratbadan)
UN-Statreadypersentasebalitayang
kelebihanberatbadan
Riskesdas
2.3by2030,double
theagricultural
productivityand
theincomes
ofsmall-scale
foodproducers,
particularly
women,
indigenous
peoples,
familyfarmers,
pastrolistsand
fishers,including
throughsecure
andequalaccess
toland,other
productive
resources
andinputs,
knowledge,
financialservices,
markets,and
opportunitiesfor
valueaddition
andnonfarm
employment
2.3.1persentase
produksiyang
dicapaiterhadap
targetproduksi
pertaniantanaman
pangan
BPSmostreadyactualyieldsrelativetothe
yieldthatcanbeachieved
undergoodmanagement
conditions
BPS,
Susenas,
KemenTan
2013national
2.3.2ProduksiPangan
Pokok(padi,
jagung,kedelai,
gula,daging,
ikan)sertapangan
lainnya(kelapa
sawit,karet,kakao,
the,kopi,dan
kelapa)(Ton)
RPJM2015-
2019
mostreadyproduksipanganstrategisBPS,
Susenas,
KemenTan
1990-2010national
2.3.3Produktivitas
tanamanserealia
(padi,jagung)
RPJM2015-
2019
mostreadyProduktivitastanaman
serealia(padi,jagung)
BPS,
Susenas,
KemenTan
1990-2010national
2.3.4Rata-rata
penguasaanluas
lahanpertanian
perkeluarga
RPJM2015-
2019
readyRata-ratapenguasaanluas
lahanpertanianperkeluarga
KemenTan

Indicator
Source
Data
Source
TimeSeriesDataLevel
2.3.5produksidari
komoditipertanian
perhektararea
diukurdenganunit
USD/hektar
UN-StatreadyValueofagricultural
productionperhectare
(measuredinconstantUSD/
hectare,disaggregatedfor
thetwolowestquintiles
ofcountries’farmsize
distribution,aswellasfor
female-headedsmallholder
producerhouseholds)
KemenTan
2.4by2030ensure
sustainable
foodproduction
systemand
implement
resilient
agriculture
practices
thatincrease
productivityand
production,that
helpmaintain
ecosystem,
thatstrengthen
capacityfor
adaptationto
climatechange,
extremeweather,
drought,
floodingand
otherdisasters
andthat
progressively
improveland
andsoilquality
2.4.1Perubahan
tahunanluaslahan
kritisdenganunit
%atauha
BPSmostreadyPerubahantahunanluas
lahankritisdenganunit%
atauha
KLHK,BPSprovince
2.4.2Persentasehasil
ternakyang
dicapaiterhadap
targetproduksi
ternak
BPSmostreadyPersentasehasilternakyang
dicapaiterhadaptarget
produksiternak
BPS,Disnaknational
2.4.3Tingkat
pertumbuhanhasil
panenserealia
(padidanjagung)
BPSmostreadyTingkatpertumbuhanhasil
panenserealia(padidan
jagung)
BPS,
Susenas,
Kemen-
Tan
1990-2010national
2.4.4Luaslahansawah
yangmenerapkan
SRI(SystemofRice
Intensification)(ha)
RPJM2015-
2019
mostreadyLuaslahansawahyang
menerapkanSRI(ha)
Kementan2012district
2.4.5Rehabilitasiirigasi
(ha)
RPJM2015-
2019
readyRehabilitasiirigasi(ha)Bappenas2014national
2.4.6Rehabilitasi,
konservasi
(pemulihan
kesuburan)dan
optimasilahan(ha)
RPJM2015-
2019
mostreadyRehabilitasi,konservasi
(pemulihankesuburan)dan
optimasilahan(ha)
Kementan,
KLHK
2014national

Indicator
Source
Data
Source
TimeSeriesDataLevel
2.4.7Jumlahdesa
yangmenerapkan
pertanianorganik
(unit)
RPJM2015-
2019
readyJumlahdesayang
menerapkanpertanian
organik(unit)
Kementan2014national
2.4.8Jumlahdesa
mandiripangan
yangdiberdayakan
desa
RPJM2015-
2019
mostreadyJumlahdesamandiripangan
yangdiberdayakandesa
Kementan2014national
2.4.9efisiensi
penggunaan
pupuk
BPSmostreadyrasio=pupukyangdiserap
tanaman:pupukyang
diaplikasikan
Kementan
2.4.10Emisigasrumah
kacadisektor
pertanian(per
hektartanahdan
perunitoutput,
secaraterpisah
untuksektor
tanamandan
ternak
UN-StatmostreadyEmisigasrumahkacadi
sektorpertanian(perhektar
tanahdanperunitoutput,
secaraterpisahuntuksektor
tanamandanternak
KLHK,DNPI
2.4.11absolutlevelemisi
disektor-sektor
yangterkaitdan
sub-sektornya
UN-Statmostreadyabsolutlevelemisidisektor-
sektoryangterkaitdansub-
sektornya
KLHK,DNPI
2.5by2020maintain
geneticdiversity
ofseeds,
cultivatedplants,
farmedand
domesticated
animalsand
theirrelated
wildspecies,
including
throughsoundly
2.5.1jumlahbibitlokal
atauturunanlokal
UN-Statreadynumberoflocallyadapted
breedsclassifiedasbeing
at-risk,not-at-risk,and
unknown-levelsofriskof
extinction
KemenTan,
Litbang
Pertanian/
Perkebunan
2.5.2Jumlahvarietas
unggulbaru(VUB)
tanamanpangan;
Hortikultura,
danperkebunan
(jumlahvarietas)
RPJM2015-
2019
mostreadyJumlahvarietasunggulbaru
(VUB)tanamanpangan;
Hortikultura,danperkebunan
(jumlahvarietas)
KemenTan,
Litbang
Pertanian/
Perkebunan
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
managedand
diversifiesseed
andplantbanks
atnational,
regionaland
international
levels,and
ensureaccess
toandfairand
equitablesharing
ofbenefits
arisingfrom
theutilization
ofgenetic
resourcesand
associated
traditional
knowledgeas
internationally
agreed
2.5.3Jumlahteknologi
berbasis
bioteknologidan
bioprospeksi
(teknologi)
RPJM2015-
2019
mostreadyJumlahteknologi
berbasisbioteknologidan
bioprospeksi(teknologi)
KemenTan,
Litbang
Pertanian/
Perkebunan
national
2.5.4Ex-situcrop
collections(jumlah
koleksitanaman
ex-situ)
UN-StatmostreadyEx-situcropcollections
indicator.
KemenTan,
Litbang
Pertanian/
Perkebunan
national

Goal3.Ensurehealthylivesandpromotewell-beingforallatallages
Indicator
Source
Data
Source
TimeSeriesDataLevel
3.1by2030reduce
theglobal
maternal
mortalityratio
tolessthan70
per100000live
births
3.1.1persentase
kelahiranyang
ditolongtenaga
kesehatanterlatih
BPS,
RPJM
2015-2019,
MDGs,
UN-Stat
mostreadyPersentasepersalinandi
fasilitaspelayanan
BPS,
KemenKes
2003-2013national
3.1.2rasioangka
kematianibu
MDGs,
UN-Stat
mostreadyAKI(angkakematianibu)
=jumlahkematianibutiap
kelahiran/jumlahkelahiran
hidup*1000
BPS19901995
20002005
20102013
national
3.1.3AngkaKematian
ibuper1000
kelahiran
BPS,RPJM
2015-2019
mostreadyAngkaKematianibuper
1000kelahiran
SDKI,
SirusaBPS,
KemenKes
2003-2010national
3.1.4persentaseasupan
suplemenasam
folatdanzatbesi
padawanitahamil
RPJM2015-
2019,BPS
readypersentaseasupan
suplemenasamfolatdanzat
besipadawanitahamil
KemenKes
3.1.5Jumlahibuhamil
kurangenergi
kronikyang
mendapatkanPMT
RPJM2015-
2019,BPS
readyJumlahibuhamilkurang
energikronikyang
mendapatkanPMT
KemenKes
3.1.6Persentaseibu
hamilyang
mendapatkan
pelayanan
antenatalkeempat
(K4),minimum
mendapat
pelayanan
antenatal4kali
RPJM2015-
2019,BPS,
MDGs
mostreadyPersentaseibuhamilyang
mendapatkanpelayanan
antenatalkeempat(K4)
BPS19911994
19972003
20072010
2012
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.2By2030,end
preventable
deathsof
newbornsand
childrenunder
5yearsofage,
withallcountries
aimingto
reduceneonatal
mortalitytoat
leastaslowas
12per1,000
livebirthsand
under-5mortality
toatleastaslow
as25per1,000
livebirths
3.2.1Persentaseanak
berumur1tahun
yangdiimunisasi
campak
MDGsmostreadyThepercentageofchildren
underoneyearofagewho
havereceivedatleastone
doseofmeasles-containing
vaccine.
BPS1990-2014national
3.2.2angkakematian
bayidanbalita
per1000kelahiran
hidup
BPS,RPJM
2015-2019,
MDGs,UN-
Stat
mostreadyangkakematianbayidan
balitaper1000kelahiran
hidup
3.2.3angkakelahiran
total
BPSmostreadyangkakelahirantotalBPS1971-2012national
3.2.4usiarata-rataibu
saatkelahirananak
pertama
BPSmostreadyusiarata-rataibusaat
kelahirananakpertama
BPS,SDKI,
Ditjen
PP&PL
2013national
3.2.5persentase
pemberianASI
eksklusifpada6
bulanpertama
RPJM2015-
2019
mostreadyPersentasebayiusiakurang
dari6bulanyangmendapat
ASIeksklusif
Badan
Litbangkes,
Kemenkes
RI,Riskesdas
2013national
3.2.6persentase
kunjungan
neonatalpertama
(KN1)
RPJM2015-
2019
mostreadypersentasekunjungan
neonatalpertama(KN1)
Riskesdas,
BPS,
KemenKes
19911994
19972003
20072010
2012
national
3.3by2030end
theepidemics
ofAIDS,
tuberculosis,
malaria,and
neglected
tropicaldiseases
andcombat
hepatitis,water-
bornediseases,
andother
communicable
diseases
3.3.1Prevalensi
Tuberkulosis
per100.000
penduduk)dan
(Tingkatkematian
akibatTuberkulosis
per100.000
penduduk)dan
(Angkakejadian
Tuberkulosis
(semua
kasus/100.000
penduduk/tahun))
BPS,RPJM
2015-2019,
MDGs,UN-
Stat
mostreadyIncidenceratesassociated
withTuberculosis
(allcases/100,000people/
year)
BPS,
KemenKes,
Riskesdes
19911994
19972003
20072010
2012
Prevalencerateof
Tuberculosis(jumlahkasus
penyakitTBpositif)per
100.000penduduk
DeathrateofTuberculosis
(per100,000)
BPS,
KemenKes,
Riskesdes
BPS,
KemenKes,
Riskesdes
19911994
19972003
20072010
2012
19911994
19972003
20072010
2012

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.3.2PrevalensiHIV/
AIDS(persen)dari
totalpopulasi
BPS,RPJM
2015-2019,
MDGs,
UN-Stat
mostreadytheestimatenumberof
newHIVinfectionsper1000
population
theestimatenumberof
newHIVinfectionsper1000
population
thepercentpeopleliving
withHIVandreceiving
treatmentsex:anti-retroviral
therapy(ART)
numberofpeopledieddue
toHIVasaratiotopeople
livingwithHIV
3.3.3Proporsijumlah
pendudukusia
15-24tahun
yangmemiliki
pengetahuan
komprehensif
tentangHIV/AIDS
BPS,MDGsmostreadypopulationwith
comprehensiveknowledge
onHIV/AIDS
MOH,
Riskesdas,
BPS
1990-2013national
3.3.4Persentasekasus
HIVyangdiobati
RPJM
2015-2019,
MDGs
mostreadyProportionofpopulationwith
advancedHIV
KemenKes,
Riskesdas
3.3.5Persentase
kabupaten/kota
yangmemenuhi
syaratkualitas
kesehatan
lingkungan
RPJM2015-
2019
mostreadyPersentasekabupaten/
kotayangmemenuhi
syaratkualitaskesehatan
lingkungan
KemenKes,
Riskesdas
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.3.6Persentase
Kab/Kotayang
mempunyai
kebijakan
kesiapsiagaan
dalam
penanggulangan
kedaruratan
kesehatan
masyarakatyang
berpotensiwabah
RPJM
2015-2019
mostreadyPersentaseKab/Kotayang
mempunyaikebijakan
kesiapsiagaandalam
penanggulangankedaruratan
kesehatanmasyarakatyang
berpotensiwabah
KemenKes,
Riskesdas
national
3.3.7Persentase
kab/kotayang
melakukan
pengendalian
vektorterpadu
RPJM2015-
2019
mostreadyPersentasekab/kotayang
melakukanpengendalian
vektorterpadu
KemenKes,
Riskesdas
2010national
3.3.8Jumlahkab/
kotaendemis
yangmelakukan
pemberian
obatmassal
pencegahan
(POMP)Filariasis
RPJM2015-
2019
mostreadyJumlahkab/kotaendemis
yangmelakukanpemberian
obatmassalpencegahan
(POMP)Filariasis
KemenKes,
Riskesdas
2009-2013national
3.3.9Persentase
kabupaten/kota
denganangka
keberhasilan
pengobatanTB
paruBTApositif
(SuccessRate)
minimal85persen
RPJM2015-
2019
mostreadyPersentasekabupaten/kota
denganangkakeberhasilan
pengobatanTBparuBTA
positif(SuccessRate)minimal
85persen
KemenKes,
Riskesdas
2008-2013national
3.3.10contraceptive
prevalencerate(%)
(Tingkatprevalensi
kontrasepsi)
MDGsmostreadyprevelensipenggunaan
kontrasepsi(anymethod)
IDHS,
National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
prevelensipenggunaan
kontrasepsi(condom)
IDHS,
National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national
3.3.11Angkakejadian
Malaria(per1,000
penduduk))
BPS,RPJM
2015-2019,
MDGs,
UN-Stat
mostreadyAngkakejadianMalariaper
1,000penduduk
Riskesdas2013national
3.3.12Proporsianak
balitadengan
demamyang
diobatidengan
obatantimalaria
yangtepat
BPSreadyProporsianakbalitadengan
demamyangdiobatidengan
obatantimalariayangtepat
MOH,
Riskesdas
3.3.13Jumlahkab/kota
denganeliminasi
malaria
RPJM2015-
2019
mostreadyJumlahkab/kotadengan
eliminasimalaria
Riskesdas2013province
3.3.14prevelensianak
balitayangterkena
hepatitisB
UN-StatnotreadyPrevalenceofhepatitisB
surfaceantigeninchildren
under5
3.3.15Kehadiran13
kapasitasintiIHR
untukpengawasan
danrespon
UN-StatnotreadyPresenceof13IHRcore
capacitiesforsurveillance
andresponse

Indicator
Source
Data
Source
TimeSeriesDataLevel
kontrasepsi(condom)
IDHS,
National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national
3.3.11Angkakejadian
Malaria(per1,000
penduduk))
BPS,RPJM
2015-2019,
MDGs,
UN-Stat
mostreadyAngkakejadianMalariaper
1,000penduduk
3.3.12Proporsianak
balitadengan
demamyang
diobatidengan
obatantimalaria
yangtepat
BPSreadyProporsianakbalitadengan
demamyangdiobatidengan
obatantimalariayangtepat
MOH,
Riskesdas
3.3.13Jumlahkab/kota
denganeliminasi
malaria
RPJM2015-
2019
mostreadyJumlahkab/kotadengan
eliminasimalaria
Riskesdas2013province
3.3.14prevelensianak
balitayangterkena
hepatitisB
UN-StatnotreadyPrevalenceofhepatitisB
surfaceantigeninchildren
under5
3.3.15Kehadiran13
kapasitasintiIHR
untukpengawasan
danrespon
UN-StatnotreadyPresenceof13IHRcore
capacitiesforsurveillance
andresponse

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.4by2030reduce
byone-thirdpre-
maturemortality
fromnon-
communicable
diseases
(NCDs)through
preventionand
treatment,and
promotemental
healthand
welbeing
3.4.1Probabilitas
kematianantara
usia30dan
70darisetiap
penyakitjantung,
kanker,diabetes,
ataupenyakit
pernapasankronis
UN-Statmostreadythepercentageof30-year-
oldpeoplewhowoulddie
beforetheir70thbirthday
fromanyofcardiovascular
disease,cancer,diabetes,or
chronicrespiratorydisease
3.4.2Prevalensiberat
badanlebihdan
obesitaspada
pendudukusia
18+tahun(persen)
RPJM2015-
2019
mostreadyPrevalensiberatbadanlebih
danobesitaspadapenduduk
usia18+tahun(persen)
3.4.3Prevalensitekanan
darahtinggi
(persen)
RPJM2015-
2019
mostreadyPrevalensitekanandarah
tinggi(persen)
Riskesdas2007,2013province
3.4.4Prevalensi
merokokpadausia
≤18tahun
RPJM2015-
2019
readyPrevalensimerokokpadausia
≤18tahun
Riskesdasnational
3.4.5Persentase
penurunankasus
penyakityang
dapatdicegah
denganimunisasi
(PD3I)tertentudari
tahun2013
RPJM2015-
2019
mostreadyPersentasepenurunankasus
penyakityangdapatdicegah
denganimunisasi(PD3I)
tertentudaritahun2013
Riskesdas2011-2013national
3.4.6Persentase
Puskesmasyang
melaksanakan
pengendalianPTM
terpadu
RPJM2015-
2019
mostreadyPersentasePuskesmasyang
melaksanakanpengendalian
PTMterpadu

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.4.7Persentase
kab/kotayang
melaksanakan
kebijakanKawasan
TanpaRokok(KTR)
minimal50persen
sekolah
RPJM2015-
2019
mostreadyPersentasekab/kotayang
melaksanakankebijakan
KawasanTanpaRokok(KTR)
minimal50persensekolah
3.4.8pengguna
tembakauyang
berumur15tahun
keatas
UN-StatmostreadyCurrenttobaccouseamong
persons15yearsandover
3.5strengthen
prevention
andtreatment
ofsubstance
abuse,including
narcoticdrug
abuseand
harmfuluseof
alcohol
3.5.1Prevalensi
peminumalkohol
12bulandan1
bulanterakhir
BPSmostreadytotal(recordedand
unrecorded)alcohol
consumptionwithina
calendaryearinlitersofpure
alcohol
BPS
3.5.2Cakupanterapi
substitusi
opioidantara
penggunanarkoba
tergantungopioid
UN-StatnotreadyCoverageofopioid
substitutiontherapyamong
opioid-dependentdrugusers
3.5.3Cakupanintervensi
untukpencegahan
penyalahgunaan
obatterlarangdi
bawahumur25
tahun
UN-StatnotreadyCoverageofinterventionsfor
thepreventionofsubstance
abuseinterventionsamong
peopleunder25
3.6By2030,halve
thenumberof
globaldeaths
andinjuries
fromroadtraffic
accidentsand,in
theinterim,by
2020,stabilize
andthenreduce
globaldeaths
andinjuries
fromroadtraffic
accidents
3.6.1Jumlahkorban
meninggalakibat
kecelakaanlalu
lintasper100.000
penduduk
BPS,UN-
Stat
mostreadytherateofroadtrafficfatal
injurydeathscalculatedper
100,000population
BPS
3.6.2Tingkatkecelakaan
lalulintas(%)
RPJM2015-
2019
mostreadynumberofroadcrashinjuries

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.7by2030ensure
universalaccess
tosexualand
reproductive
healthcare
services,
includingfor
familyplanning,
informationand
education,and
theintegration
ofreproductive
healthinto
national
strategiesand
programmes
3.7.1Tingkatprevalensi
kontrasepsi(%)
BPS,RPJM
2015-2019,
UN-Stat
mostreadyprevelensipenggunaan
kontrasepsi(anymethod)
IDHS,
National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national
kontrasepsi(condom)
IDHS,
National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national
3.7.2perawatan
ibusebelum
melahirkan
RPJM
2015-2019,
MDGs
readyPersentaseibuhamilyang
mendapatkanpelayanan
antenatalkeempat(K4)
BPS,DHS,
Renkesdes
19911994
19972003
20072010
2012
national
3.7.3tingkatkelahiran
padaanakremaja
MDGs,UN-
Stat
mostreadytingkatkelahiranpadaanak
remaja
BPS,IDHS,
Susenas
19921995
19972000
20052009
national
3.7.4persentase
yangbelum
menggunakanKB
MDGsreadywomennotusingany
methodofconceptions/
womenwantingnomore
childrenorwantingtodelay
thenextbirth
BPS,IDHS,
Susenas
3.7.5totaltingkat
kesuburan
BPSmostreadytotalfertilityrateBPS1971-2014province
3.7.6persentasi
kebutuhanber-KB
RPJM2015-
2019
mostreadyPersentasekebutuhanber-KBRiskesdas2013national

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.7.7persentase
penggunaan
metode
kontrasepsijangka
panjang(MKJP)
RPJM2015-
2019
mostreadypersentasepenggunaan
metodekontrasepsijangka
panjang(MKJP)
3.7.8persentasetingkat
putuspakai
kontrasepsi
RPJM2015-
2019
mostreadypersentasetingkatputus
pakaikontrasepsi
3.7.9persentase
kesertaanKBpria
(pesertaKBpria/
PA)
RPJM2015-
2019
readypersentasekesertaanKBpria
(pesertaKBpria/PA)
BKKBN,
Riskesdas
3.7.10Persentase
kabupaten/kota
yangmencapai80
persenimunisasi
dasarlengkap
padabayi
RPJM2015-
2019
yangmencapai80persen
imunisasidasarlengkappada
bayi
3.7.11Persentasebalita
yangmenerima
imunisasilengkap
RPJM2015-
2019
mostreadyPersentasebalitayang
menerimaimunisasilengkap
Bappenas,
BPS
2014,2011-
2012
national,
province
3.8achieveuniversal
healthcoverage
(UHC),including
financialrisk
protection,
accesstoquality
essentialhealth
careservices,
andaccessto
safe,effective,
quality,and
affordable
essential
medicinesand
vaccinesforall
3.8.1Persentaseanak
berumur1tahun
yangdiimunisasi
campak
BPSmostreadyPersentaseanakberumur
1tahunyangdiimunisasi
campak
3.8.2Jumlahkecamatan
yangmemiliki
minimalsatu
puskesmasyang
tersertifikasi
akreditasi
RPJM2015-
2019
mostreadyJumlahkecamatanyang
memilikiminimalsatu
puskesmasyangtersertifikasi
akreditasi
3.8.3Jumlahpuskesmas
yangminimal
memilikilimajenis
tenagakesehatan
RPJM2015-
2019
mostreadyJumlahpuskesmasyang
minimalmemilikilimajenis
tenagakesehatan

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.8.4Persentase
kabupaten/kota
yangmencapai80
persenimunisasi
dasarlengkap
padabayi
RPJM2015-
2019
yangmencapai80persen
imunisasidasarlengkappada
bayi
KemenKes,
Riskesdas
2013national
3.8.5persentaseKab/
Kotayangmemiliki
minimalsatuRSUD
yangtersertifikasi
akreditasinasional
RPJM2015-
2019
mostreadypersentaseKab/Kotayang
memilikiminimalsatuRSUD
yangtersertifikasiakreditasi
nasional
KemenKes,
Riskesdas
2013national
3.8.6Persentase
kepesertaan
jaminanatauSJSN
kesehatan(persen)
RPJM2015-
2019
mostreadyPersentasekepesertaanSJSN
kesehatan(persen)
KemenKes,
Riskesdas
2013national
3.8.7Jumlahpuskesmas
yangminimal
memilikilimajenis
tenagakesehatan
RPJM2015-
2019
mostreadyJumlahpuskesmasyang
minimalmemilikilimajenis
tenagakesehatan
KemenKes,
Riskesdas
2013national
3.8.8PersentaseRSU
Kabupaten/Kota
kelasCyang
memilikitujuh
dokterspesialis
RPJM2015-
2019
mostreadyPersentaseRSUKabupaten/
KotakelasCyangmemiliki
tujuhdokterspesialis
KemenKes,
Riskesdas
2013national
3.8.9Persentase
ketersediaanobat
danvaksindi
Puskesmas
RPJM2015-
2019
mostreadyPersentaseketersediaanobat
danvaksindiPuskesmas
KemenKes,
Riskesdas
2013national
3.8.10Persentaseobat
yangmemenuhi
syarat
RPJM2015-
2019
mostreadyPersentaseobatyang
memenuhisyarat
KemenKes,
Riskesdas
2013national

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.8.11Jumlahpenduduk
yangmenjadi
pesertapenerima
bantuan(PBI)
melaluiKartu
IndonesiaSehat
(KIS)
RPJM2015-
2019
mostreadyJumlahpendudukyang
menjadipesertapenerima
bantuan(PBI)melaluiKartu
IndonesiaSehat(KIS)
KemenKes,
Riskesdas
2013national
3.8.12Jumlahdokumen
hasilstudi/
monitoring
danevaluasi
pelaksanaanJKN
RPJM2015-
2019
readyJumlahdokumenhasilstudi/
monitoringdanevaluasi
pelaksanaanJKN
KemenKes,
Riskesdas
3.8.13Jumlahdokumen
hasilHealth
Technology
Assessment/HTA
yangdisampaikan
kepadaMenteri
Kesehatan
RPJM2015-
2019
readyJumlahdokumenhasilHealth
TechnologyAssessment/HTA
yangdisampaikankepada
MenteriKesehatan
KemenKes,
Riskesdas
3.8.14Jumlahdokumen
kebijakan
pembinaan
pengembangan
pembiayaandan
jaminankesehatan
RPJM2015-
2019
readyJumlahdokumenkebijakan
pembinaanpengembangan
pembiayaandanjaminan
kesehatan
KemenKes,
Riskesdas
3.8.15Jumlahbahan
bakuobat,obat
tradisionaldan
kosmetikadalam
negeriyang
dimanfaatkan,
sertaalat
kesehatan(alkes)
yangdiproduksidi
dalamnegeri
RPJM2015-
2019
readyJumlahbahanbakuobat,
obattradisionaldan
kosmetikadalamnegeri
yangdimanfaatkan,serta
alatkesehatan(alkes)yang
diproduksididalamnegeri
KemenKes,
Riskesdas

Indicator
Source
Data
Source
TimeSeriesDataLevel
3.8.16Persentase
puskesmasyang
melaksanakan
pelayanan
kefarmasiansesuai
standar
RPJM2015-
2019
readyPersentasepuskesmasyang
melaksanakanpelayanan
kefarmasiansesuaistandar
KemenKes,
Riskesdas
3.8.17Jenisalkesyang
diproduksidi
dalamnegeri
RPJM2015-
2019
readyJenisalkesyangdiproduksi
didalamnegeri
KemenKes,
Riskesdas
3.8.18Jumlahbahan
bakuobat,obat
tradisionaldan
kosmetikadalam
negeriyang
dimanfaatkan
RPJM2015-
2019
readyJumlahbahanbakuobat,
obattradisionaldan
kosmetikadalamnegeriyang
dimanfaatkan
KemenKes,
Riskesdas
3.8.19PersentaseRS
Kab/Kotakelas
Cyangmemiliki
4dokterspesialis
dasardan3
dokterspesialis
penunjang
RPJM2015-
2019
mostreadyPersentaseRSKab/Kotakelas
Cyangmemiliki4dokter
spesialisdasardan3dokter
spesialispenunjang
KemenKes,
Riskesdas
2010national
3.8.20Pengeluaran
pemerintahuntuk
kesehatan,sebagai
persentasedari
PDB
BPS,UN-
Stat
mostreadypercentageoftotal
expenditureonhealth
KemenKes,
Riskesdas
3.8.21Rasiotenaga
kesehatan
terhadap
penduduk(dokter,
doktergigi,dokter
spesialis,bidan,
perawat,tenaga
farmasi,kesehatan
masyarakat,
keterapianfisik,
keteknisianmedis,
dantenagagizi)
BPS,UN-
Stat
mostreadyratioofhealtprofessionalsto
population(medicaldoctors,
nurses,communityhealth
worker)
KemenKes,
Riskesdas
2010national

NoTargetNo.IndicatorIndicator
SourceCategoriesDataRequiredData
SourceTimeSeriesDataLevel
3.8.22Persentasefasilitas
kesehatanmenurut
ketersediaanobat
umum,obatgigi,
obat/alatKB,obat
khususPuskesmas
PONED,vaksin,
danalatkesehatan
dalamdanluar
gedung
BPSreadyproportionofpopulationwith
accesstoaffordableessential
drugsonsustainablebasis
KemenKes,
Riskesdas
3.8.23kebutuhanyang
belumterpenuhi
untukpelayanan
kesehatan
RPJM2015-
2019
readyUnmetmedicalneeds(place
holderindicator)
KemenKes,
Riskesdas
3.8.24persentase
pendudukyang
berobatjalan
dipuskesmas
danpuskesmas
pembantuselama
sebulanyanglalu
BPSmostreadyPersentasePendudukyang
BerobatJalandiPuskesmas
danPuskesmasPembantu
SelamaTableSebulanyang
lalu
KemenKes,
Riskesdas
2007-2012province
3.9by2030
substantially
reducethe
numberof
deathsand
illnesesfrom
hazardous
chemicalsand
air,water,and
soilpolutionand
contamination
3.9.1rata-ratapolusi
udaradaripartikel
tertentu
UN-Statmostreadytheannualmeanofparticle
concentrationwithdiameter
equaltoorgreaterthan10
microns
KemenKes,
KLHK
national

Goal4.Ensureinclusiveandequitablequalityeducationandpromotelife-longlearning
opportunitiesforall
Indicator
Source
Data
Source
TimeSeriesDataLevel
4.1by2030,
ensurethatall
girlsandboys
completefree,
equitabledan
qualityprimary
andsecondary
education
leadingto
relevantand
effectivelearning
outcomes
4.1.1Tingkatmelek
huruflaki-laki
perempuanpada
kelompokumur
15-24tahun(BPS)
BPS,MDGmostreadynetenrolementratio(APM)
forprimaryeducation(SD/MI)
4.1.2Proporsimurid
kelas1yang
menamatkan
sekolahdasa)
(BPS)
MDGmostreadyPercentage1stgradestudent
tocompletedprimary
education
BPS
4.1.3Rasiopartisipasi
murnidalam
pendidikandasar
(BPS)
BPS,MDGmostreadyNetenrolmentratioin
primaryeducation
4.1.4presentase
penduduk
berumur15
tahunyang
menyelesaikan
pendidikandasa)
(BPS)
BPSmostreadyEducationalAttainment
PopulationAged15Years
andOver
BPSnational
4.1.5Rasiopenerimaan
bersihdi
pendidikan
sekunder(BPS)
BPSmostready-netenrolementratio(APM)
forjuniorhighschool
-netenrolementratio(APM)
forseniorhighschool

Indicator
Source
Data
Source
TimeSeriesDataLevel
4.2by2030ensure
thatallgirls
andboyshave
accesstoquality
earlychildhood
development,
careand
pre-primary
educationso
thattheyare
readyforprimary
education
4.2.1presentaseanak-
anakmenerimana
program
pendidikanpra
sekolahminimal1
tahun)(BPS)
UN-StatmostreadypreschoolparticipationratioBPS2001-2013national
4.2.2Aksesterhadap
indeks
pembangunan
anak(UNICEF)
UN-StatmostreadyECDIindexUNICEFnational
4.3by2030ensure
equalaccess
forallwomen
andmento
affordable
qualitytechnical,
vocational
andtertiary
education,
including
university
4.3.1
4.4By2030,ensure
thatallyouthand
adultshave
relevantskills,
including
technicaland
vocationalskills,
foremployment,
decentworkand
entrepreneurship
4.4.1Prosentase
pemuda/orang
dewasayang
melekkomputer
daninformasi
UN-Statready-numberofyouth/adults
whoarecomputerand
informationliterate*
-numberofyouth/adultsin
population
BPS,
Kemendik-
nas
BPS,Ke-
mendiknas

Indicator
Source
Data
Source
TimeSeriesDataLevel
4.5by2030,
eliminategender
disparities
ineducation
andensure
equalaccess
toalllevels
ofeducation
andvocational
trainingforthe
vulnerable,
including
personswith
disabilities,
indigenous
peoples,and
childrenin
vulnerable
situations
4.5.1Rasioanak
perempuan
terhadaplaki-laki
dalampartisipasi
sekolah(BPS)
MDGmostready-Percentagepopulationby
sexinschoolparticipation
4.5.2Indekskesamaan
genderdalam
rasiopartisipasi
pendidikandasar,
sekunderdan
tersier(BPS)
MDGmostready-netenrollmentratiofor
primaryschool
-netenrollmentratio(APM)
forjuniorhighschool
-netenrollmentratio(APM)
forseniorhighschool
4.5.3Rasioanak
perempuan
terhadapanaklaki-
lakidalamtingkat
literasi(BPS)
MDGmostreadyRatioofgirlstoboysin
illiteracyrate
BPS
4.6By2030,ensure
thatallyouth
andadults,
bothmenand
women,reach
aproficiency
levelinliteracy
andnumeracy
sufficienttofully
participatein
society
4.7by2030ensure
alllearners
acquire
knowledgeand
skillsneeded
topromote
sustainable
development,
includingamong
4.7.1prosentasepelajar
berumur15tahun
yangmenunjukkan
kecakapandalam
pengetahuanilmu
lingkungandan
kebumian(-)
UN-Statready-Numberof15-year
oldstudentsshowing
proficiencyinknowledgeof
environmentalscienceand
geoscience*
-Numberofpopulationin15
yearold
BPS,
Kemendik-
nas
National,
provincial,
district

Indicator
Source
Data
Source
TimeSeriesDataLevel
othersthrough
educationfor
sustainable
development
andsustainable
lifestyles,
humanrights,
genderequality,
promotionof
acultureof
peaceandnon-
violence,global
citizenship,and
appreciationof
culturaldiversity
andofculture’s
contribution
tosustainable
development
4.7.2Prosentase
pelajarberumur
13tahunyang
mendorongnilai
danperilakuyang
mempromosikan
kesejajaran,
kepercayaandan
partisipasidalam
tatapemerintahan
(-)
UN-Statready-Numberof13-yearold
studentsendorsingvalues
andattitudespromoting
equality,trustand
participationgovernance*
-numberofpopulationin13-
yearold
BPS,
Kemendik-
nas
National,
provincial,
district
4.abuildand
upgrade
education
facilitiesthatare
child,disability
andgender
sensitiveand
providesafe,
non-violent,
inclusiveand
effectivelearning
4.a.1Prosentasesekolah
denganakses
terhadaplistrik,
airlayakminum
dansanitasiuntuk
setiapperempuan
danlakilaki
UN-Statready-Numberofschoolwith
accessto(i)electricity(ii)
drinkingwaterand(iii)single-
sexsanitationfacilities*
‘-Numberofschoolin
Indonesia
BPS,
Kemendik-
nas
National,
provincial,
district
4.bBy2030,
substantially
increasesupport
forscholarships
availableto
developing
countries,in
particularleast
developed

Indicator
Source
Data
Source
TimeSeriesDataLevel
4.bcountries,
smallisland
developing
Statesand
Africancountries,
forenrolment
inhigher
education,
including
vocational
trainingand
informationand
communications
technology,
technical,
engineering
andscientific
programmes,
indeveloped
countriesand
otherdeveloping
countries
4.b.1
4.cBy2030,
alllearners
aretaught
byqualified
teachers,
including
through
international
cooperationfor
teachertraining
indeveloping
countries,
especiallyleast
developed
countriesand
smallisland
developing
States
4.c.1

Goal5.Achievegenderequalityandempowerallwomenandgirls
Indicator
Source
Data
Source
TimeSeriesDataLevel
5.1endallformsof
discrimination
againstall
womenandgirls
everywhere
5.1.1persentase
perempuanyang
bekerjadisektor
non-pertanian
MDGsmostreadypersentaseperempuan
yangbekerjadisektor
non-pertanian
Depnakertrans,
MDG/BPS
1990-2012national
5.1.2persentasekursi
parlemenyang
didudukioleh
wanita
MDGsmostreadyproportionofseatsheld
bywomeninnational
parliament
Worldbank,
MDG,BPS
2005-2014national
5.1.3rasiojumlah
muridperempuan
danlaki-lakidi
sekolah
RPJM
2015-2019,
MDGs
mostreadyrasiojumlahmurid
perempuandanlaki-lakidi
sekolah
BPS,Susenas,
Kemendikbud
2007-2010national
rasiomurid
disekolah
dasar
MDG,BPS2001-2012national
rasiomurid
disekolah
secondary
rasiomurid
disekolah
tertiary
5.1.4Indeks
Pembangunan
Gender(IPG)
RPJM2015-
2019
mostreadyIndeksPembangunan
Gender(IPG)
IKKG(IndeksKesetaraan
danKeadilanGender)

Indicator
Source
Data
Source
TimeSeriesDataLevel
5.1.5Indeks
Pemberdayaan
Gender(IDG)
RPJM2015-
2019
mostreadyIndeksPemberdayaan
Gender(IDG)
IKKG(Indeks
Kesetaraandan
KeadilanGender)
5.1.6apakahadaatau
tidakkerangka
hukumdiskriminasi
terhadap
perempuandan
anakperempuan,
sepertiyang
diidentifikasioleh
komiteCEDAW
UN-StatreadyWhetherornot
legalframeworks
discriminateagainst
womenandgirls,
asidentifiedbythe
CEDAWcommittee
kemenpppa,
komnas
perempuan
342
kebijakan
diskriminatifdi
tahun
2013
national
5.1.7apakahadaatau
tidakdiskriminasi
untukhakwaris
padaperempuan
dananak
perempuan
UN-StatnotreadyWhetherornot
inheritancerights
discriminateagainst
womenandgirls
5.2eliminateall
formsofviolence
againstall
womenandgirls
inpublicand
privatespheres,
including
traffickingand
sexualand
othertypesof
exploitation
5.2.1Prevalensiwanita
15-49tahun
yangmengalami
kekerasanfisik
atauseksualoleh
pasanganintimnya
dalam12bulan
terakhir(ad-hoc)
ataupersentase
wanita15-49tahun
yangmenjadi
korbankejahatan
(rutin)
BPS,RPJM
2015-2019,
UN-Stat
mostreadytheoccurrenceof
violenceagainst
womenbyintimate
partners.
BPS,
kemenpppa
2006-2010national

Indicator
Source
Data
Source
TimeSeriesDataLevel
5.2.2Persentasewanita
yangmengalami
tindakkejahatan
dandilaporkanke
polisi
BPS,RPJM
2015-2019,
UN-Stat
most
ready
thecapacitytoredress
crimes,whether
citizenstrustformal
systemenoughto
actuallygotopolice
andcourts
BPS,
kemenpppa
2006-2010national
5.2.3prevalensi
kekerasanterhadap
anak
RPJM2015-
2019
most
ready
prevalensikekerasan
terhadapanak
BPS,
kemenpppa
2008,2013national
5.2.4Jumlah
perempuankorban
perdagangan
RPJM2015-
2019
mostreadyJumlahperempuan
korbanperdagangan
IOM,BPS
5.3eliminate
allharmful
practices,such
aschild,early
andforced
marriageand
femalegenital
mutilations
5.3.1Persentasewanita
umur20-24tahun
yangberstatus
kawin/hidup
bersamaatau
berstatuskawin/
hidupbersama
sebelumberusia18
tahun
BPS,MDGs,
UN-Stat
mostreadyPercentageofwomen
aged20-24yearsold
whoweremarriedor
inunionbeforeage
18
BPS
5.3.2Persentasepernah
disunatpadaanak
perempuanumur
0-11tahun
BPSmostreadythepercentageof
womenaged15-49
gotthepractice
offemalegenital
mutilation(FGM)
BPS
5.3.3Angkakelahiran
kelornpokumur15-
19tahun(ASFR)
RPJM2015-
2019
mostreadyAngkakelahiran
kelornpokumur15-19
tahun(ASFR)
5.3.4Persentaseanak
perempuandan
wanitaberusia15-
49tahunyangtelah
menjalaniFGM/C
UN-StatnotreadyPercentageofgirls
andwomenaged
15-49yearswhohave
undergoneFGM/C

Indicator
Source
Data
Source
TimeSeriesDataLevel
5.4recognizeand
valueunpaid
careand
domesticwork
throughthe
provisionof
publicservices,
infrastructureand
socialprotection
policies,and
thepromotion
ofshared
responsibility
withinthe
household
andthefamily
asnationally
appropriate
5.4.1Rata-ratajamkerja
pekerjadibayardan
tidakdibayar
BPS,UN-
Stat
mostreadythetimespentby
womenandgirlstodo
paidandunpaidwork
combined
5.4.2proporsijumlah
rumahtanggayang
berlokasi15menit
darisumberair
UN-StatreadyProportionof
householdswithin15
minutesofnearest
watersource
BPS,
RISKESDAS
2013province
5.5ensurewomen’s
fullandeffective
participation
andequal
opportunities
forleadership
atalllevelsof
decision-making
inpolitical,
economic,and
publiclife
5.5.1Persentase
keterwakilan
perempuandi
lembagalegislatif
(DPR,DPRD
Provinsi,danDPRD
Kab/Kota)
BPS,RPJM
2015-2019,
UN-Stat
mostreadytheratioofthe
percentageofseats
heldbywomenand
minorities(including
indigenouspeople)
inlegislativebodies
(national,regional,
local)
Worldbank,
MDG,BPS
2005-2014national
5.5.2Tingkatpartisipasi
perempuan
dalamKelompok
Penghidupan
Berkelanjutan
RPJM2015-
2019
notreadyTingkatpartisipasi
perempuan
dalamKelompok
Penghidupan
Berkelanjutan
5.5.3jumlahperusahaan
yangmenerapkan
normakerja
perempuan
RPJM2015-
2019
readyjumlahperusahaan
yangmenerapkan
normakerja
perempuan
Depnakertransnational

Indicator
Source
Data
Source
TimeSeriesDataLevel
5.5.4TingkatPartisipasi
AngkatanKerja
(TPAK)perernpuan
RPJM2015-
2019
mostreadyTingkatPartisipasi
AngkatanKerja(TPAK)
perernpuan
5.5.5Rasioupahyang
diterimapekerja
perempuan
terhadaplaki-laki
BPSmostreadyRasioupahyang
diterimapekerja
perempuanterhadap
laki-laki
5.5.6Persentase
perempuanyang
berstatussebagai
kepalarumah
tanggaataupunistri
yangtidakbekerja
danmenjadipekerja
keluarga/tidak
dibayar
BPSmostreadyPersentase
perempuanyang
berstatussebagai
kepalarumahtangga
ataupunistriyang
tidakbekerjadan
menjadipekerja
keluarga/tidak
dibayar
5.5.7Proporsiwanita
yangmemilikisuara
dalamkeputusan
dirumahtangga
(untukpembelian
dalamjumlah
besar,kesehatan
merekasendiri
danmengunjungi
kerabat)
UN-StatnotreadyProportionofwomen
whohaveasayin
householddecisions
(forlargepurchases,
theirownhealthand
visitingrelatives)
5.6ensureuniversal
accesstosexual
andreproductive
healthand
reproductive
rightsasagreed
inaccordance
withthe
Programmeof
Actionofthe
ICPDandthe
Beijingplatform
5.6.1Metandunmet
demandfor
familyplanning
(Tingkatkebutuhan
pelayananKByang
terpenuhidanyang
belumterpenuhi)
BPS,MDGsmostreadythepercentageof
women(ortheir
partners)whodesire
eithertohaveno
furtherchildrenor
topostponethe
nextchildandwho
arecurrentlyusinga
moderncontraceptive
method.
IDHS,National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
forActionand
theoutcome
documentsof
theirreview
conference
5.6.2Totalfertilityrate
(tingkatkesuburan)
RPJM
2015-2019,
MDGs
mostreadytotalfertilityrateBPS1971-2014province
5.6.3Meanageofmother
atbirthoffirstchild
(AngkaKelahiran
usiaremaja15-19
tahun)
RPJM
2015-2019,
MDGs,UN-
Stat
mostreadythemeanageof
motheratbirthoffirst
child
BPS,IDHS,
Susenas
19921995
19972000
20052009
national
5.6.4Contraceptive
prevalencerate
(AngkaPemakaian
Kontrasepsi)
RPJM
2015-2019,
MDGs
mostreadyContraceptive
prevalencerate
IDHS,National
Economic
Survey
19911993
19941995
19961997
19981999
20002001
20032005
20072012
national
5.6.5Persentase
kunjunganneonatal
pertama
RPJM
2015-2019,
MDGs
mostreadyPersentasekunjungan
neonatalpertama
Riskesdas,BPS,
KemenKes
national
5.6.7Presentaseibuhamil
yangmendapatkan
pelayananantenatal
keempat(K4)
RPJM
2015-2019,
MDGs
mostreadyPresentaseibuhamil
yangmendapatkan
pelayananantenatal
keempat(K4)
BPS19911994
19972003
20072010
2012
national
5.6.8Persentase
kesertaanKBPria
(PesertaKBPria/PA)
RPJM2015-
2019
readyPersentasekesertaan
KBPria(PesertaKB
Pria/PA)
Bappenas2014
5.6.9Persentase
perempuandan
anakperempuan
yangmembuat
keputusantentang
kesehatanmereka
sendiriseksualdan
reproduksidanhak
reproduksi
UN-StatnotreadyPercentageofwomen
andgirlswhomake
decisionsabout
theirownsexualand
reproductivehealth
andreproductive
rights

Indicator
Source
Data
Source
TimeSeriesDataLevel
5.6.10Adanyaundang-
undangdan
peraturanyang
menjaminsemua
perempuandan
remajamendapat
pilihaninformasi
mengenai
kesehatanseksual
danreproduksi
danhakreproduksi
terlepasdaristatus
perkawinan
UN-StatnotreadyExistenceoflaws
andregulationsthat
guaranteeallwomen
andadolescents
informedchoices
regardingtheirsexual
andreproductive
healthand
reproductiverights
regardlessofmarital
status

Goal6.Ensureavailabilityandsustainablemanagementofwaterandsanitationforall
Indicator
Source
Data
Source
TimeSeriesDataLevel
6.1by2030,achieve
universaland
equitable
accesstosafe
andaffordable
drinkingwater
forall
6.1.1persentaserumah
tanggayang
memilikiakses
terhadapSumber
AirMinumLayak
BPS,RPJM
2015-2019,
MDGs,UN-
Stat
mostreadypersentaserumahtangga
yangmemilikiakses
terhadapairminumlayak
BPS,Susenas,
riskesdas
1990-2012urban,rural
6.1.2Regulasi=UU
No4Tahun
2004tentang
SumberDaya
Air,PP16Tahun
2005tentang
Pengembangan
Sistem
PenyediaanAir
Minum
BPSmostreadyRegulasi=UUNo4
Tahun2004tentang
SumberDayaAir,PP
16Tahun2005tentang
PengembanganSistem
PenyediaanAirMinum
BPS,BPPSPAM
6.2by2030,
achieveaccess
toadequate
andequitable
sanitationand
hygieneforall,
andendopen
defecation,
payingspecial
attentionto
theneedsof
womenand
girlsandthose
invulnerable
situations
6.2.1Proporsi
rumahtangga
denganakses
berkelanjutan
terhadapsanitasi
layak
BPS,RPJM
2015-2019,
MDGs,UN-
Stat
mostreadythepercentageofthe
populationinurbanand
ruralareaswithaccessto
safelymanagedsanitation
services
BPS,Susenas,
riskesdas
2009-2013province
6.2.2Tingkatpelayanan
sanitasi(airlimbah
domestik,sampah
dandarinase
lingkungan)(%)
RPJM2015-
2019
mostreadyTingkatpelayanansanitasi
(airlimbahdomestik,
sampahdandarinase
lingkungan)(%)
pamsimas,
STBM,riskesdas
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
6.2.3Persentaserumah
sakitumum/
pemerintah
danpuskesmas
yangmemiliki
ketersediaan
airbersih
danmemiliki
pengolahan
limbah(SPAL)
BPSmostreadyPersentaserumahsakit
umum/pemerintahdan
puskesmasyangmemiliki
ketersediaanairbersih
danmemilikipengolahan
limbah(SPAL)
kemenkes,
riskesdas
2013national
6.2.4Persentase
penduduk
denganfasilitas
cucitangandasar
dirumah
BPS,UN-
Stat
mostreadyPersentasependuduk
denganfasilitascuci
tangandasardirumah
riskesdas2013national
6.2.5Persentaserumah
tanggayangtidak
memilikifasilitas
tempatbuangair
besardantidak
memilikitempat
pembuangan
akhirtinjaberupa
tangki/SPAL.
BPSmostreadyPersentaserumahtangga
yangtidakmemiliki
fasilitastempatbuangair
besardantidakmemiliki
tempatpembuanganakhir
tinjaberupatangki/SPAL.
riskesdas2013province,
national
6.3By2030,improve
waterquality
byreducing
pollution,
eliminating
dumpingand
minimizing
releaseof
hazardous
chemicalsand
materials,halving
theproportion
6.3.1Tingkatpelayanan
sanitasi(airlimbah
domestik,sampah
dandarinase
lingkungan)(%)
RPJM
2015-2019,
UN-Stat
mostreadyPercentageofwastewater
flowstreatedtonational
standards,bymunicipal
andindustrialsource
pamsimas,
STBM

Indicator
Source
Data
Source
TimeSeriesDataLevel
ofuntreated
wastewaterand
atleastdoubling
recyclingand
safereuse
globally
6.3.2Persentase
penggunaan
sumberair
dibawahbatas
tanpamerusak
lingkungan
ataukesehatan
manusia
UN-Statnotready
6.4by2030,
substantially
increasewater-
useefficiency
acrossallsectors
andensure
sustainable
withdrawals
andsupplyof
freshwaterto
addresswater
scarcity,and
substantially
reducethe
numberof
peoplesuffering
fromwater
scarcity
6.4.1totalketersediaan
airdarisumber
alamdanbuatan
atauindeks
ketersediaanair
(WAI)
UN-StatnotreadyWAI=R+G-D/R+G+D
(R=surfacerunoff,G=
groundwaterresources
andD=sumofdemands
ofallsectors)
6.4.2indeks
penggunaanair
UN-Statnotreadytotalwateruse(air
yangdigunakan)/the
availabilityofwater
(sumberairyangtersedia)
6.5by2030
implement
integrated
waterresources
management
atalllevels,
including
through
transboundary
cooperationas
appropriate
6.5.1pembangunan
waduk
RPJM2015-
2019
mostreadyjumlahwadukSDAPU2014national

Indicator
Source
Data
Source
TimeSeriesDataLevel
6.5.2Terjaganya/
meningkatnya
jumlahmata
airdi5DAS
prioritasdan10
DASprioritas
lainnyasampai
dengan2019
melaluikonservasi
sumberdayaair
RPJM2015-
2019
mostreadyTerjaganya/
meningkatnyajumlah
mataairdi5DASprioritas
dan10DASprioritas
lainnyasampaidengan
2019melaluikonservasi
sumberdayaair
SDAPU2014national
6.5.3Pengembangan
danpengelolaan
JaringanIrigasi
(permukaan,air
tanah,pompa,
rawa,dan
tambak)
RPJM2015-
2019
mostreadyPengembangandan
pengelolaanJaringan
Irigasi(permukaan,air
tanah,pompa,rawa,dan
tambak)
SDAPU2014national
6.5.4AksesAirMinum
Layak
RPJM2015-
2019
mostreadypersentaseaksesibilitasair
minumlayak
SDAPU,
KemenKes,
Riskesdes,BPS
2013national
6.5.5Persentasetotal
sumberairyang
digunakan
BPS,MDGsmostreadyproportionofwater
resourceused
BPS19901995
20002005
2010
national
6.5.6status
implementasi
pengelolaan
sumberairyang
terintegrasi
UN-StatnotreadyStatusofIWRM
Implementation
6.5.7Ketersediaan
operationaluntuk
pengelolaanlintas
batasDAS
UN-StatnotreadyAvailabilityofoperational
arrangementsfor
transboundarybasin
management

Indicator
Source
Data
Source
TimeSeriesDataLevel
6.6By2030,
water-related
ecosystems,
including
mountains,
forests,wetlands,
rivers,aquifers
andlakeshave
beenfully
protectedand
restored
6.6.1menyelesaikan
statusDASlintas
negara
RPJM2015-
2019
readyDASlintasnegaraBappenas,
Kemenkumhan
national
6.6.2Mengurangi
luasanlahan
kritis,melalui
rehabilitasidi
dalamKPHdan
DAS
RPJM2015-
2019
mostreadyMengurangiluasanlahan
kritis,melaluirehabilitasi
didalamKPHdanDAS
Bappenas,
KLHK
national
6.6.3Pemulihan
kesehatan5DAS
Prioritas(DAS
Ciliwung,DAS
Citarum,DAS
Serayu,DAS
BengawanSolo
danDASBrantas)
dan10DAS
prioritaslainnya
s.d.2019
RPJM2015-
2019
mostreadyPemulihankesehatan
5DASPrioritas(DAS
Ciliwung,DASCitarum,
DASSerayu,DAS
BengawanSolodanDAS
Brantas)dan10DAS
prioritaslainnyas.d.2019
Bappenas,
KLHK
national
6.6.4Perlindungan
mataairdi5DAS
Prioritas(DAS
Ciliwung,DAS
Citarum,DAS
Serayu,DAS
BengawanSolo
danDASBrantas)
dan10DAS
prioritaslainnya
sampaidengan
tahun2019
RPJM2015-
2019
readyPerlindunganmataair
di5DASPrioritas(DAS
Ciliwung,DASCitarum,
DASSerayu,DAS
BengawanSolodanDAS
Brantas)dan10DAS
prioritaslainnyasampai
dengantahun2019
Bappenas,
KLHK
national

Indicator
Source
Data
Source
TimeSeriesDataLevel
6.6.5Peningkatan
kualitasairsungai
sebagaisumber
airbaku
RPJM2015-
2019
readyPeningkatankualitasair
sungaisebagaisumberair
baku
Bappenas,
KLHK,PU
national
6.6.6Pengendalian
sedimentasidi
wadukdandanau
prioritas
RPJM2015-
2019
readyPengendaliansedimentasi
diwadukdandanau
prioritas
Bappenas,
KLHK,PU
national
6.6.7Pengelolaan
terpadudidanau
prioritasnasional
RPJM2015-
2019
readyPengelolaanterpadudi
danauprioritasnasional
Bappenas,
KLHK,PU
national
6.6.8RevitalisasiSungai
Tepadu
RPJM2015-
2019
readyRevitalisasiSungaiTepaduBappenas,
KLHK,PU
national
6.6.9persentase
perubahanlahan
basahdariwaktu
kewaktu
UN-StatreadyChangeinwetlands
extentovertime(%
changeovertime)
KLHK

Goal7.Ensureaccesstoaffordable,reliable,sustainable,andmodernenergyforall
Indicator
Source
Data
Source
TimeSeriesDataLevel
7.1by2030ensure
universalaccess
toaffordable,
reliable,and
modernenergy
services
7.1.1Prosentase
pendudukyang
memasakdengan
pirantimodern:
gas(BPS,PGN)
UN-Statmostready-numberofpipelinegas
customers
-numberofhousehold
usingLPG
BPS,PLN1993-2013national
7.1.2Prosentase
pendudukyang
menikmatilistrik
(BPS,PLN)
UN-Statmostready-electricificationrate
-numberofhousehold
withelectricityaccess
PLN2009-2013national
7.2increase
substantially
theshareof
renewable
energyinthe
globalenergy
mixby2030
7.2.1Prosentaseenergi
terbarukandalam
konsumsienergi
final(ESDM)
MDGmostreadyfinalenergyconsumptionKESDM2000-2013national
7.2.2Leglisasidan
kerangka
kerjayang
memungkinkan
produksienergi
terbarukanpada
2020
UN-Statmostreadyregulationsonrenewable
energy
KESDM
7.3doublethe
globalrateof
improvementin
energyefficiency
by2030
7.3.1Tingkatperbaikan
intensitasenergi
primer(ESDM)
MDGmostreadyenergyintensityKESDM2000-2013national
7.3.2indekskomposite
untukefisiensi
energyyang
terdiridari
berbagaisektor
transportasi,
industri,
kelistrikan,
bangunandan
pertanian(-)
UN-Statready-energyefficiencyindexKESDMKESDM

Indicator
Source
Data
Source
TimeSeriesDataLevel
7.aby2030enhance
international
cooperationto
facilitateaccess
tocleanenergy
researchand
technologies,
including
renewable
energy,energy
efficiency,and
advancedand
leanerfossilfuel
technologies,
andpromote
investment
inenergy
infrastructure
andcleanenergy
technologies
7.a.1Perbaikandalam
intensitaskarbon
bersihpadasektor
energi(ESDM)
UN-Statready-netcarbonintensityKESDM
7.a.2Investasiteknologi
daninfrastruktur
energibersih
(ESDM)
UN-Statreadyinvestmentonclean
energy(geothermal,
hydro)
KESDM2005-2010national
7.bby2030expand
infrastructure
andupgrade
technology
forsupplying
modernand
sustainable
energyservices
forallin
developing
countries,
particularlyLDCs
andSIDS
7.b.1Tingkatperbaikan
produktivitas
energi(ESDM)
UN-Statready-energyproductivityKESDM
7.b.2prosentase
proyekkerjasama
internasional
yangsedang
diimplementasikan
untukmemfasilitasi
aksesenergi
(Bappenas)
UN-Statreadynumberofinternational
cooperationprojects
beingimplemented
tofacilitateaccessto
energy
Bappenas,
KESDM

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