CLUSTERING PROVINCE IN INDONESIA BY COMMUNICATION TECHNOLOGY RELATED VARIABLES

Transcription

1 CLUSTERING PROVINCE IN INDONESIA BY COMMUNICATION TECHNOLOGY RELATED VARIABLES Advisor: Dr. Ir. Erfiani, M.Si Dr. Ir. Muhammad Nur Aidi, M.S Ahmad Nur Rohman IPB Bogor, Sept 2015

2 OUTLINE PROBLEM DATA METHOD RESULT CONCLUSION

3 PROBLEM

4 PROBLEM Technology Growth Rapidly IMPORTANT Communication Technology It make communication with others easier Focus of Government to build Indonesian Information Society

5 PROBLEM Indonesian Information Society ( ) Not Easy Wide Area (>1.9 billion km2) Large population (>237 Billion person) Different Geographically Different Level of economy Grouping Province according level of communication technology CLUSTER ANALYSIS

6 PROBLEM CLUSTER ANALYSIS MARKETING INSURANCE EDUCATION PLANNING REGION CLUSTER ANALYSIS COMMUNICATION & INFORMATION Support to Indonesian Economy Provide input for government to improve the communication sector

7 DATA

8 DATA Subsector Communication National postal Units of postal services Courier services Fixed network Mobile network terrestrial Mobile cellular networks Satellite mobile network Network call premium Radio service call to public Service radio trunking Kiosk Economy Activities Other telecommunications services Internet service providers Communication system services Portal services Voice over internet protocol services Internet cafes Other multimedia services Specifically for its own telecommunication Telecommunications specifically for security Telecommunications specifically for broadcasting

9 DATA Variable Symbol Statistics Indonesia, Village Potential (2011) Statistics Indonesia, National Socio Economic Survey (2011) The number of households own fixed wired telephone X 1 Number of villages own public telephone facility X 2 Number of villages own kiosks facility X 3 Number of villages own internet cafe facility X 4 Number of villages own Base Transceiver Station (BTS) tower X 5 Number of villages by strong mobile phone signal reception X 6 Number of villages can be receive the television program / X 7 broadcast Percentage of population owns mobile phone X 8 Percentage of households owns computer X 9 Percentage of households ever accessing internet in the last 3 months X 10 Average Household consumption X 11 Average household consumption for telecommunications X 12 Ministry of Communication and Information (2011) Number of the frequency band used X 13 Number of Radio Frequency used X 14 Number of television frequencies used X 15 Number of of frequencies GSM/DCS used X 16 TV Channel Utilization X 17 Radio Channel Utilization X 18

10 METHOD

11 Method Data collection Determine the distance to be used Determine the method used Determine the number of groups and the optimal method Interpretation cluster

12 Determine the distance to be used CONTINU DATA Euclidean distance d euc (x, y) = p x j y j j=1 Determine the method used Unknown number of cluster Hierarchical Method Linkage Variance Centroid Single Linkage Complete Linkage Average Linkage Ward Method Centroid Method

13 Determine the number of groups and the optimal method Formula : CCC = ln 1 E(R 2 ) 1 R 2 np E(R ) : proportion of variance accounted by cluster E(R 2 ) : expected value of R 2 n : the numbers of observation p < p, p is the number of variables R 2 CCC >2 or 3 0 < CCC >2 Good cluster Potensial cluster

14 RESULT

15 Cluster Analysis Number of cluster Single Linkage Complete Linkage Average Linkage Centroid Ward Significant Value of CCC >1 Ward Method is Better Than Complete Linkage Number of Cluster 3 Ward Similarity A c eh Sumatera Utara Sumatera Barat S ulawesi Utara Kalimantan Selatan R i a u Sumatera Selatan Sulawesi Selatan +Barat Jambi Kalimantan Tengah Sulawesi Tenggara Kalimantan Barat Sulawesi Tengah B e n g k u l u Gorontalo L a m p u n g Nusa Ten ggara Barat Nusa Tenggara Timur M a l u k u Maluku Utara Papua+Papua Barat Kepulauan Bangka Belitung Ban ten Bali Kepulauan Riau Kalimantan Timur D.I. Yogy akarta DKI Jakarta Jawa Barat Jawa Timur Jawa Tengah Observations

16 CLUSTER 1 Aceh North Sumatra West Sumatra Riau Jambi South Sumatra Bengkulu Lampung West Nusa Tenggara East Nusa Tenggara West Kalimantan Central Kalimantan South Kalimantan North Sulawesi Central Sulawesi South and West Sulawesi South East Sulawesi Gorontalo Maluku North Maluku West Papua And Papua CLUSTER 2 DKI Jakarta Kepulauan Bangka Belitung Kepulauan Riau DI Yogyakarta Banten Bali East Kalimantan CLUSTER 3 West Java Centra Java East Java

17 Characteristic of Cluster G1 G2 G3 National X X X X X X X X X X X X X X X X X X

18 Characteristic of Cluster Cluster 1 Cluster 2 Cluster 3 Have a wide area but village which less facilities of communication because many village hard to reach Using facility of communication low because dynamic of socio economic still low Have a good socio economic, having communication facilities is high (mobile phone, computer, internet access, high consumption for communication) Have a high dynamic socio economy so high using communication facilities (GSM, utilization of radio, utilization of television) but using of radio s frequency and television s frequency still low, because people like using gadget Potential village still less, because have a small area Have a good potential villages (own fixed wired telephone, public telephone, kiosks, internet café, BTS, strong mobile phone) because have a wide area and easy to reach the area, have many of administrative area. Good using communication facilities ( band frequency, radio frequency, television frequency, GSM frequency except TV Channel Utilization and Radio channel Utilization must be increased) A little part of society no have TV or mobile phone especially live at village which is far from city

19 Policy for Each Cluster Cluster 1 Addition of facilities in the village(public telephone, internet café, BTS), as well as increased utilization of frequencies available either frequency television, radio or GSM Cluster 2 Addition of facilities in the village such as public telephones, Base Transceiver Stations, increase usage of radio s frequency and television s frequency Cluster 3 The increase in the use of television and radio channels as well as the addition of using computer and internet, as well as the consumption for telecommunications for village which is far from city

20 CONCLUSION

21 Conclusion 1 The number of clusters formed by variables related the field of communication technology are 3 cluster. 1 st cluster consists of 21 provinces, 2 nd cluster consists of 7 provinces, and 3 rd cluster consists of 3 provinces. 2 3 rd cluster has good potential villages and usage of communication facilities, 2 nd cluster has good socio economy, 1 st cluster still have to improve potential of village and economy also usage of communication because there are less.

22 Thank You