PERHITUNGAN TINGKAT KESIAPAN IMPLEMENTASI SMART CITY DALAM PERSPEKTIF SMART GOVERNANCE DENGAN METODE FIS MAMDANI
Abstract
Smart City adalah skonsep tata kota yang mengoptimalkan teknologi informasi dan digital untuk meningkatkan kesejahteraan dan kebahagiaan masyarakat, serta meningkatkan layanan Pemerintah. Kota Pekalongan sedang berupaya untuk mempersiapkan diri dalam proses implementasi Smart City. Dalam referensi diketahui bahwa salah satu indikator kesiapan implementasi Smart City adalah Smart Governance, yang terdiri atasi empat indikator utama yaitu Participation in decision-making, public and social services, Transparent Governance, political strategies and perspectives. Dari keempat indikator tersebut diperjelas ke dalam indikator operasional yang lebih mudah diukur secara kuantitatif. Oleh sebab itu metode penelitian dipilih mix research methods karena data yang diperoleh dilakukan melalui cara kualitatif dengan wawancara kepada narasumber. Hasil data dikelola dan diolah menggunakan cara kuantitatif. Cara kuantitatif tersebut adalah metode Fuzzy Inference System (FIS) Mamdani. Dari keempat indikator utama diturunkan menjadi 21 variabel input Hasil yang diperoleh adalah tingkat kesiapan Kota Pekalongan dalam mengimplementasikan Smart City dari Perspektif Smart Governance adalah 1,5 (Sedang).
References
G. Cristian and M. Roscia, “Definition methodology for the smart cities model,” Energy, vol. 47, pp. 326–332, 2012.
T. Nam and T. A. Pardo, “Conceptualizing Smart City with Dimensions of Technology , People , and Institutions,” in The Proceedings of the 12th Annual International Conference on Digital Government Research, 2011, pp. 282–291.
R. E. Hall, J. Braverman, J. Taylor, and H. Todosow, “The Vision of A Smart City.” 2nd International Life Extention Technology Workshop; Paris France, Paris, Perancis, pp. 1–6, 2000.
N. Komninos, C. Bratsas, C. Kakderi, and P. Tsarchopoulos, “Smart City Ontologies: Improving the effectiveness of smart city applications,” J. Smart Cities, vol. 1, no. 1, pp. 31–46, 2015.
[M. A. Shokouhi, S. N. N. Rokni, H. Alizadeh, and A. Ahmadi, “Evaluation of Smart City Criteria in Ahvaz City , Iran PhD Student in Geography and Urban Planning , Shahid Chamran University of Ahvaz , Iran 4PhD Student in,” Int. J. Archit. Eng. Urban Plan, vol. 26, no. 2, pp. 141–149, 2016.
R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler-Milanović, and E. Meijers, “Smart cities Ranking of European medium-sized cities,” Centre of Regional Science, Vienna UT, German, 2007.
A. Caragliu, C. Del Bo, P. Nijkamp, A. Caragliu, C. Del Bo, and P. Nijkamp, “Smart Cities in Europe,” J. Urban Technol., no. October 2012, pp. 37–41, 2011.
S. Allwinkle and P. Cruickshank, “Creating Smart-er Cities : An Overview Creating Smart-er Cities : An Overview,” J. Urban Technol., no. January 2014, pp. 37–41, 2011.
F. Mosannenzadeh and D. Vettorato, “Defining Smart City: A Conceptual Framework Based On Keyword Analysis,” TeMA J. L. Use, Mobil. Environ., no. SMART CITY PLANNING FOR ENERGY, TRANSPORTATION AND SUSTAINABILITY OF THE URBAN SYSTEM, pp. 683–694, 2014.
Retnowati, “Partisipasi Warga Melalui Pusat Informasi Warga ( Community Dalam Perspektif Keterbukaan Informasi Publik Di era OGI ( Open Government Indonesia ) Studi Pada Kota Pekalongan,” 2017. [Online]. Available: https://www.academia.edu/34688226/Partisipasi_Warga_Melalui_Pusat_Informasi.
A. Gaeta, M. Gaeta, V. Loia, and M. Z. Reformat, “Collective Awareness in Smart City with Fuzzy Cognitive Maps and Fuzzy sets,” in FUZZ-IEEE, 2016, pp. 1554–1561.
M. L. De Maio, “Fuzzy utility models : possible applications in evacuation conditions in smart cities,” WIT Trans. Ecol. Environ., vol. 173, pp. 779–790, 2013.
P. Kaltenrieder, C.- Bern, E. Portmann, M. Finger, and S. D. Onofrio, “Applying the Fuzzy Analytical Hierarchy Process in Cognitive Cities,” in ICEGOV’14 Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, 2014, pp. 259–262.
M. I. Perangin-angin, Khairul, and Andysah Putera Utama Siahaan, “Fuzzy Logic Concept in Technology , Society , and Economy Areas in Predicting Smart City Fuzzy Logic Concept in Technology , Society , and Economy Areas in,” Int. J. Recent Trends Eng. Res., vol. 2, no. December, pp. 176–181, 2016.
S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy Untuk Pendukung Keputusan, 1st ed. Yogyakarta: Graha Ilmu, 2004.
Retnowati, “Optimalisasi Jumlah Produksi Batik Cap Dengan Menggunakan Metode Fuzzy Mamdani,” J.Litbang Kota Pekalongan, vol. 3, no. 1, pp. 1–11, 2010.
F. Camastra et al., “Expert Systems with Applications A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference,” Expert Syst. Appl., no. October, 2014.
A. Kaur and A. Kaur, “Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System,” no. 2, pp. 323–325, 2012.
H. Zaher, A. E. Kandil, and R. Fahmy, “SCIENCEDOMAIN international Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Prediction ( With Application to Prices of Fund in Egypt ),” vol. 4, no. 21, pp. 3014–3022, 2014.
M. Asadi, “Journal of Rock Mechanics and Geotechnical Engineering Optimized Mamdani fuzzy models for predicting the strength of intact rocks and anisotropic rock masses,” J. Rock Mech. Geotech. Eng., vol. 8, no. 2, pp. 218–224, 2016.
N. Alavi, “Quality determination of Mozafati dates using Mamdani fuzzy inference system,” J. Saudi Soc. Agric. Sci., vol. 12, no. 2, pp. 137–142, 2013.
[22] J. Shah, Exploratory Research on Smart Cities: Theory, Policy and Practice. India, 2017.
[23] S. Joss, M. Cook, and Y. Dayot, “Smart Cities : Towards a New Citizenship Regime ? A Discourse Analysis of the British Smart City Standard Smart Cities : Towards a New Citizenship Regime ? A Discourse Analysis of the British Smart City Standard,” J. Urban Technol., vol. 0, no. 0, pp. 1–21, 2017.
Yoshihito Yoshikawa, A. Sato, S. Hirasawa, M. Takahashi, and M. Yamamoto, “Hitachi’s Vision of the Smart City,” Hitachi Review, vol. 61, no. 3. Japan, pp. 111–118, 2012.
B. Cohen, “The Top 10 Smart Cities On The Planet _ Where business and design collide,” Fast Company, 2011. [Online]. Available: http://www.fastcoexist.com/1679127/the-top-10-smart-cities-on-the-planet . [Accessed: 04-Oct-2017].
John W. Creswell, Research Design Qualitative, QUantitative, and Mixed Methods Approaches. United States of America: Sage Publications, Inc., 2014.
S. N. Hesse-Biber, Mixed Methods Research: Merging Theory with Practice. The Guildford Press, 2010.
S. L. Schensul, J. J. Schensul, and Margaret D. LeCompte, Initiating Ethnographic Research: A Mixed Methods Approach. UK: Rowman & LittleField Publishers, INC., 2013.
T. Nam and T. A. Pardo, “Conceptualizing Smart City with Dimensions of Technology , People , and Institutions,” in The Proceedings of the 12th Annual International Conference on Digital Government Research, 2011, pp. 282–291.
R. E. Hall, J. Braverman, J. Taylor, and H. Todosow, “The Vision of A Smart City.” 2nd International Life Extention Technology Workshop; Paris France, Paris, Perancis, pp. 1–6, 2000.
N. Komninos, C. Bratsas, C. Kakderi, and P. Tsarchopoulos, “Smart City Ontologies: Improving the effectiveness of smart city applications,” J. Smart Cities, vol. 1, no. 1, pp. 31–46, 2015.
[M. A. Shokouhi, S. N. N. Rokni, H. Alizadeh, and A. Ahmadi, “Evaluation of Smart City Criteria in Ahvaz City , Iran PhD Student in Geography and Urban Planning , Shahid Chamran University of Ahvaz , Iran 4PhD Student in,” Int. J. Archit. Eng. Urban Plan, vol. 26, no. 2, pp. 141–149, 2016.
R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler-Milanović, and E. Meijers, “Smart cities Ranking of European medium-sized cities,” Centre of Regional Science, Vienna UT, German, 2007.
A. Caragliu, C. Del Bo, P. Nijkamp, A. Caragliu, C. Del Bo, and P. Nijkamp, “Smart Cities in Europe,” J. Urban Technol., no. October 2012, pp. 37–41, 2011.
S. Allwinkle and P. Cruickshank, “Creating Smart-er Cities : An Overview Creating Smart-er Cities : An Overview,” J. Urban Technol., no. January 2014, pp. 37–41, 2011.
F. Mosannenzadeh and D. Vettorato, “Defining Smart City: A Conceptual Framework Based On Keyword Analysis,” TeMA J. L. Use, Mobil. Environ., no. SMART CITY PLANNING FOR ENERGY, TRANSPORTATION AND SUSTAINABILITY OF THE URBAN SYSTEM, pp. 683–694, 2014.
Retnowati, “Partisipasi Warga Melalui Pusat Informasi Warga ( Community Dalam Perspektif Keterbukaan Informasi Publik Di era OGI ( Open Government Indonesia ) Studi Pada Kota Pekalongan,” 2017. [Online]. Available: https://www.academia.edu/34688226/Partisipasi_Warga_Melalui_Pusat_Informasi.
A. Gaeta, M. Gaeta, V. Loia, and M. Z. Reformat, “Collective Awareness in Smart City with Fuzzy Cognitive Maps and Fuzzy sets,” in FUZZ-IEEE, 2016, pp. 1554–1561.
M. L. De Maio, “Fuzzy utility models : possible applications in evacuation conditions in smart cities,” WIT Trans. Ecol. Environ., vol. 173, pp. 779–790, 2013.
P. Kaltenrieder, C.- Bern, E. Portmann, M. Finger, and S. D. Onofrio, “Applying the Fuzzy Analytical Hierarchy Process in Cognitive Cities,” in ICEGOV’14 Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, 2014, pp. 259–262.
M. I. Perangin-angin, Khairul, and Andysah Putera Utama Siahaan, “Fuzzy Logic Concept in Technology , Society , and Economy Areas in Predicting Smart City Fuzzy Logic Concept in Technology , Society , and Economy Areas in,” Int. J. Recent Trends Eng. Res., vol. 2, no. December, pp. 176–181, 2016.
S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy Untuk Pendukung Keputusan, 1st ed. Yogyakarta: Graha Ilmu, 2004.
Retnowati, “Optimalisasi Jumlah Produksi Batik Cap Dengan Menggunakan Metode Fuzzy Mamdani,” J.Litbang Kota Pekalongan, vol. 3, no. 1, pp. 1–11, 2010.
F. Camastra et al., “Expert Systems with Applications A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference,” Expert Syst. Appl., no. October, 2014.
A. Kaur and A. Kaur, “Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System,” no. 2, pp. 323–325, 2012.
H. Zaher, A. E. Kandil, and R. Fahmy, “SCIENCEDOMAIN international Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Prediction ( With Application to Prices of Fund in Egypt ),” vol. 4, no. 21, pp. 3014–3022, 2014.
M. Asadi, “Journal of Rock Mechanics and Geotechnical Engineering Optimized Mamdani fuzzy models for predicting the strength of intact rocks and anisotropic rock masses,” J. Rock Mech. Geotech. Eng., vol. 8, no. 2, pp. 218–224, 2016.
N. Alavi, “Quality determination of Mozafati dates using Mamdani fuzzy inference system,” J. Saudi Soc. Agric. Sci., vol. 12, no. 2, pp. 137–142, 2013.
[22] J. Shah, Exploratory Research on Smart Cities: Theory, Policy and Practice. India, 2017.
[23] S. Joss, M. Cook, and Y. Dayot, “Smart Cities : Towards a New Citizenship Regime ? A Discourse Analysis of the British Smart City Standard Smart Cities : Towards a New Citizenship Regime ? A Discourse Analysis of the British Smart City Standard,” J. Urban Technol., vol. 0, no. 0, pp. 1–21, 2017.
Yoshihito Yoshikawa, A. Sato, S. Hirasawa, M. Takahashi, and M. Yamamoto, “Hitachi’s Vision of the Smart City,” Hitachi Review, vol. 61, no. 3. Japan, pp. 111–118, 2012.
B. Cohen, “The Top 10 Smart Cities On The Planet _ Where business and design collide,” Fast Company, 2011. [Online]. Available: http://www.fastcoexist.com/1679127/the-top-10-smart-cities-on-the-planet . [Accessed: 04-Oct-2017].
John W. Creswell, Research Design Qualitative, QUantitative, and Mixed Methods Approaches. United States of America: Sage Publications, Inc., 2014.
S. N. Hesse-Biber, Mixed Methods Research: Merging Theory with Practice. The Guildford Press, 2010.
S. L. Schensul, J. J. Schensul, and Margaret D. LeCompte, Initiating Ethnographic Research: A Mixed Methods Approach. UK: Rowman & LittleField Publishers, INC., 2013.
Published
2017-01-30
How to Cite
Eniyati, S., Santi, R., Retnowati, R., Mulyani, S., & Martha, K. (2017). PERHITUNGAN TINGKAT KESIAPAN IMPLEMENTASI SMART CITY DALAM PERSPEKTIF SMART GOVERNANCE DENGAN METODE FIS MAMDANI. Dinamik, 22(1), 39-48. https://doi.org/10.35315/dinamik.v22i1.7104
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