STATISTICS INDONESIA

Transkripsi

1 STATISTICS INDONESIA Presented in forum of ITU Multi Country Training Workshop for National Focal Points on ICT Indicators and Measurements Myanmar, March 2016 By: Eni Lestariningsih

2 STATISTICS INDONESIA OUTLINE ICT Development in Indonesia Data Sources for ICT Development Index ICT Development Index & Socio-Economic Indicators

3 ICT Development in Indonesia Information Society Era Needs of Information Exchange: increased Internet Access needs to be faster GDP Growth: share by Some Industrial Sector, ICT can accelerate GDP growth: Intensive use of ICT by business sector, government sector, and household sector; 2. Shifting from mobile cellular towards mobile internet access; 3. Rapidly exchange information at anytime, anywhere, and to anyone; 4. Phenomenon of Digital Divide in Indonesia: Gap of ICT Development level among regions and whithin region in Indonesia

4 ICT Development in Indonesia 1. ICT Access & Infrastructure numbers of user per 100 inhabitants Mobile celluler subcriptio ns Household with computer Household with fixed line telephone 5.54 Household with internet Access 1. Fixed-telephone subscriptions 2. Mobile-cellular telephone subscriptions 3. Percentage of household with computer 4. Percentage of household with internet access Note: 5. International Internet Bandwidth per internet user is not presented in this graph. It is processed from MCIT data. In 2014, it is about (bit/s) 2014 Data Source: BPS, Indonesia Telecommunication Statistics 2014 (based on SUSENAS 2014) 4

5 2. ICT Use 6. Percentage of individuals using the internet 7. Fixed (wired)-broadband subcriptions 8. Wireless-broadband subcriptions Internet User by GENDER Fixed Broadband & Mobile Broadband subscription (in million) 2011 Man In 2014, 18.83% of men in Indonesia access the internet Source: MCIT, Republic of Indonesia Woman 2014 Total Only 15.45% women (5 years old and more) who access the internet in 2014 Source: BPS, Telecommunication Statistics (based on Susenas 2014)

6 ICT Development in Indonesia 3. ICT Skills 9. Adult literacy rate 10. Secondary gross enrollment ratio 11. Tertiary gross enrollment ratio ICT Skills Tertiary gross enrollment ratio Secondary gross enrollment ratio Adult literacy rate Data Source: BPS, Education Statistics 2014 (based on SUSENAS 2014) Adult literacy rate and secondary gross enrollment ratio had good and high achievements during On the other hand, the achievement of tertiary gross enrollment ratio was low. 6

7 DATA SOURCES STATISTICS INDONESIA No. FOR ICT DEVELOPMENT INDEX Indicator 1. Fixed-telephone subcription per 100 inhabitants 2. Mobile-cellular telephone subcriptions per 100 inhabitants 3. International internet bandwidht (bit/s) per internet user 4. Percentage of household with computer 5. Percentage of household with internet access 6. Percentage of individuals using the internet 7. Fixed (wired)-broadband subcriptions per 100 inhabitants 8. Wireless-broadband subcriptions per 100 inhabitants 9. Adult literacy rate 10. Secondary gross enrollment ratio 11. Tertiary gross enrollment ratio Data Source Ministry of Communication and Information Technology (MCIT) BPS, National Socio-Economic Survey (Susenas) BPS, Susenas MCIT BPS, Susenas BPS, Susenas BPS, Susenas BPS, Susenas MCIT BPS, Susenas MCIT BPS, Susenas BPS, Susenas BPS, Susenas BPS, Susenas

8 Rank of Indonesia IDI in the World, : 2013 IDI level of Indonesia in 2012 MIDLE position: Encourage Gov to put more effort 106 out of 166 to improve ICT Dev countries 2014 Comparison of Value & Rank of Indonesia IDI Sub-index, and Selected Countries, 2014 Access Countries Use Skill 108th out of 167 countries IDI Value Rank Value Rank Value Rank Value Rank (4) (5) (6) (7) (8) (9) (10) (11) South Korea Singapore 9,00 8, ,42 7, ,82 7, Myanmar Laos Malaysia 6, , , Thailand 5, , , Indonesia 4, , , (1) 106th out of 166 countries Source: ITU

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10 Indonesia ICT DI and its Sub-Index, ICT DI ICT use, ICT skill, and ICT access increased year by year during ICT skill has the highest contribution to ICT Development Index in Indonesia.

11 Indonesia ICT Development Index 2013 Contribution to ICT DI Achievement Fixed telephone subscriptions 10 Tertiary gross enrollment ratio Secondary gross 7.67 enrollment ratio Adult literacy rate Wireless broadband internet Fixed broadband internet subscriptions Mobile cellular telephone subscriptions 7.26 International 7.90 internet bandwidth per Household with computer Household with internet access Individuals using the internet Secondary gross enrollment ratio Adult literacy 12.3% rate 15.1% Tertiary Fixed gross telephone Mobile enrollment subscription cellular ratio s per 100 telephone 4.3% inhabitants subscription 3.6% s per 100 inhabitants 14.0% International internet bandwidth per internet user 15.2% Wireless broadband internet subscription s per 100 inhabitants 8.6% Fixed broadband internet subscription s per 100 inhabitants 0.9% Percentage of household with computer 10.3% Percentage of individuals using the internet 4.8% Percentage of household with internet access 11.1% 11

12 STATISTICS INDONESIA Index & ICT Development Socio-Economic Indicators Spearman Rank Correlation between sub-national IDI and other indicators: 1. IDI vs HDI : IDI vs GDP per Capita: IDI vs Poverty (Percentage of Poor People): ICT DI has strong and positive relationship with GDP per capita based on Pearson correlation. ICT DI has strong and positive relationship with HDI. ICT DI has negative relationship with poverty. ICT DI r = r = HDI Pearson Correlation r = POVERTY

13 STATISTICS INDONESIA 13

14 IDI OF SUB-NATIONAL LEVEL in Indonesia, 2012 Low : Aceh, Sumatera Utara, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Jawa Tengah, Jawa Timur, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, Kalimantan Tengah, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Maluku, Maluku Utara, Papua Medium : Sumatera Barat, Riau, Kepulauan Riau, Jawa Barat, DI Yogyakarta, Banten, Bali, Kalimantan Selatan, Kalimantan Timur, Sulawesi Utara, Papua Barat High : DKI Jakarta

15 IDI OF SUB-NATIONAL LEVEL in Indonesia, 2013 Shifting IDI from 2012 to 2013: Low to Medium -Jambi -Kep. Bangka Belitung Medium to High - Kep. Riau Medium to Low - Papua Barat Low : Aceh, Sumatera Utara, Sumatera Selatan, Bengkulu, Lampung, Jawa Tengah, Jawa Timur, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, Kalimantan Tengah, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Maluku, Maluku Utara, Papua Barat, Papua Medium : Sumatera Barat, Riau, Jambi, Kep. Bangka Belitung, Jawa Barat, DI Yogyakarta, Banten, Bali, Kalimantan Selatan, Kalimantan Timur, Sulawesi Utara High : Kepulauan Riau, DKI Jakarta

16 IDI OF SUB-NATIONAL LEVEL in Indonesia, 2014 Shifting IDI from 2013 to 2014: Medium to Low -Jambi -Kep. Bangka Belitung High to Medium - Kep. Riau Low : Aceh, Sumatera Utara, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Jawa Tengah, Jawa Timur, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, Kalimantan Tengah, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Maluku, Maluku Utara, Papua Barat, Papua Medium : Sumatera Barat, Riau, Kepulauan Riau, Jawa Barat, DI Yogyakarta, Banten, Bali, Kalimantan Selatan, Kalimantan Timur, Sulawesi Utara High : DKI Jakarta

17 Disparity Between Provinces: Digital Divide Phenomenon in Indonesia (2014) STATISTICS INDONESIA Cluster 3 15 provinces Cluster 4 2 provinces Cluster 1 2 provinces Cluster 2 14 provinces Cluster analysis divides 33 provinces in Indonesia based on 4 variables into 4 clusters: GDP per Capita HDI ICT Development Index Percentage of Poor People Each cluster has their own characteristics based on 4 variables. Provinces in the same clusters have similar characteristics. For example, cluster 1 has high GDP per capita, high HDI, high ICT DI, and low percentage of poor people. Cluster 4 has low GDP per capita, low HDI, low, ICT DI, and high percentage of poor people. 17

18 CONCLUSION IDI: need more understanding and concern 1. IDI is a very sensitive index Depending on data source Depending on definition in collecting data Depending on ideal value Depending on area, national vs sub-national 2. IDI is a composite Index, the figures: Depend on each component index Depend on the weight 3. Importance of IDI Indicator of country performances Policy evaluation in ICT Development Could be use to promote economic growth acceleration Have significant relationship with some socio-economic indicators 4. IDI of Indonesia at Sub-National Level: The more urban the region, the higher the IDI Limitation of data sources for computing 11 ICT Indicators, esp. for International Internet Bandwidth, and fixed and wireless Broadband subscriptions 18

19 STATISTICS INDONESIA Thank You Any questions and suggestion, to: The Agent of Trustworthy Statistical Data for All

20 ICT DI Value and Rank of Some Countries (2007, 2008, 2010) Country Korea (Rep.) Sweden Iceland Denmark Finland Value (2) Rank (3) Value (4) Rank (5) Value (6) Rank (7) Australia Jepang Singapore Brunei D Malaysia Vietnam Thailand Indonesia Philipine Cambodia Lao PDR Myanmar (1) Total Negara

21 ICT DI Value and Rank of Some Countries ( ) Country (1) Korea (Rep.) Sweden Iceland Denmark Finland Value (8) Rank (9) Value (10) Rank (11) Value (12) Rank (13) Value (14) Rank (15) Australia Jepang Singapore Brunei D Malaysia Vietnam Thailand Indonesia Philipine Cambodia Lao PDR Myanmar Total Negara

22 Indonesia ICT Development Index Value and Rank Year Value Rank (1) (2) (3) (154 countries) (159 countries) (152 countries) (155 countries) (157 countries) (166 countries) (166 countries) (167 countries) Source: Measuring The Information Society Publication, ITU

23 DATA SOURCES STATISTICS INDONESIA No. Indicator FOR ICT DEVELOPMENT INDEX Data Source Data Type Explanation ICT Access & Infrastructure Sub Index 1. Fixed-telephone subcription per 100 inhabitants Ministry of Communication and Information Technology (MCIT) The number of fixed-telephone subcription (Annual report of telecommunication operator) National Socio- Household with Economic Survey telephone (sum and proportion) (VSEN13.K Blok VIII Rincian 1) 2. Mobile-cellular telephone subcriptions per 100 inhabitants National Socio- The number of Economic Survey inhabitants with active mobilecellular telephone (VSEN13.K Blok VIII Rincian 2b) As a tool for breaking down into provincial level.

24 STATISTICS INDONESIA No. 3. Indicator International internet bandwidht (bit/s) per internet user 4. Percentage of household with computer 5. Percentage of household with internet access Data Source MCIT Data Type Explanation International internet bandwidht National SocioEconomic Survey Inhabitants who have internet access in every locations (VSEN13.K Blok V.C Rincian 20) National SocioEconomic Survey Percentage of household with/mastering computer (VSEN13.K Blok VIII Rincian 3) National SocioEconomic Survey Percentage of household with 1 or more member access internet at home or via mobile phone (VSEN13.K Blok V.C Rincian 21 kode 1 & kode 5) As denominator (the number of internet user) Individual data approach, individual who access internet at home and via mobile phone, then it is aggregated to household level

25 No. Indicator Data Source Data Type Explanation ICT Use Sub Index 6. Percentage of individuals using the internet National SocioEconomic Survey Percentage of inhabitants with internet access in every locations (VSEN13.K Blok V.C Rincian 20) 7. Fixed (wired)-broadband subcriptions per 100 inhabitants Ministry of Communicati on and Information The number of fix broadband internet customer National SocioEconomic Survey Percentage of inhabitants with internet access at home, office, school, and internet cafe (VSEN13.K Blok V.C Rincian 21 kode 1 s/d kode 4) Ministry of Communicati on and Information The number of broadband internet wireless customer National SocioEconomic Survey Percentage of inhabitants with internet access via mobile phone and others devices (VSEN13.K Blok V.C Rincian 21 kode 5 & kode 6) 8. Wireless-broadband subcriptions per 100 inhabitants Leased line & xdsl As a tool for breaking down into provincial level. As a tool for breaking down into provincial level.

26 STATISTICS INDONESIA No. Indicator Data Source Data Type Explanation ICT Skill Sub Index 9. Adult literacy rate National SocioEconomic Survey Percentage of more than 15 years old inhabitants who are literate Education Statistics Sub Directorate (BPS/Website official statistics) 10. Secondary gross enrollment ratio National SocioEconomic Survey Gross enrollment ratio for Junior High Scholl, Senior High School, and the same level Education Statistics Sub Directorate 11. Tertiary gross enrollment ratio National SocioEconomic Survey Gross enrollment ratio for college (D1 s/d S1) Education Statistics Sub Directorate

27 Mobile Phone Subscriptions in Indonesia, 2014 DKI Jakarta Kepulauan Riau Kalimantan Timur DI Yogyakarta Kalimantan Selatan Bali Kep. Bangka Belitung Riau Banten Kalimantan Tengah Jawa Barat Jambi Sulawesi Utara Sumatera Barat Bengkulu Jawa Tengah JawaTimur Sumatera Selatan Sulawesi Selatan Sulawesi Tenggara Lampung Kalimantan Barat Sumatera Utara Sulawesi Tengah Papua Barat Gorontalo Aceh Maluku Maluku Utara Sulawesi Barat Nusa Tenggara Barat Nusa Tenggara Timur Papua The highest is Jakarta (71.87%). 71 of 100 people in Jakarta use mobile phone Indonesia 51.49% The lowest is Papua (27.35%) 27 of 100 people in Papua use mobile phone Internet User in Indonesia, 2014 DKI Jakarta Kepulauan Riau DI Yogyakarta Kalimantan Timur Bali Banten Sulawesi Utara Jawa Barat Riau Sumatera Barat Kalimantan Selatan Jawa Tengah JawaTimur Sulawesi Selatan Jambi Gorontalo Kalimantan Tengah Bengkulu Kep. Bangka Belitung Sumatera Utara Sumatera Selatan Papua Barat Maluku Sulawesi Tenggara Kalimantan Barat Sulawesi Tengah Aceh Nusa Tenggara Barat Lampung Sulawesi Barat Maluku Utara Nusa Tenggara Timur Papua The highest is Jakarta (37.83%). 37 of 100 people in Jakarta use the internet Indonesia 14.94% The lowest is Papua (5.84%) 5 of 100 people in Papua use the internet