Pendekatan Quadruple Helix: Inovasi AI Green Light Pada Sektor Publik DKI Jakarta
DOI:
https://doi.org/10.52423/neores.v6i1.319Keywords:
AI Green Light, Inovasi, Kolaborasi, Quadruple HelixAbstract
Kemacetan lalu lintas di Jakarta tetap menjadi tantangan meskipun berbagai kebijakan seperti ganjil-genap, pembangunan infrastruktur, dan pengembangan transportasi umum telah diterapkan. Sebagai solusi, Pemprov DKI Jakarta mengimplementasikan teknologi kecerdasan buatan (AI) dalam sistem pemantauan lalu lintas melalui Network Operation Center (NOC) Intelligent Traffic Light System (ITS). Penelitian ini bertujuan untuk mengeksplorasi bagaimana kolaborasi antara pemerintah, sektor swasta (Google), akademisi, dan masyarakat (Quadruple Helix) dapat mendukung implementasi inovasi AI Green Light di DKI Jakarta. Metode yang digunakan adalah pendekatan kualitatif deskriptif, dengan wawancara dan studi literatur sebagai teknik pengumpulan data. Hasil penelitian menunjukkan bahwa model Quadruple Helix efektif dalam menciptakan solusi inovatif, dengan setiap aktor berperan penting dalam mengoptimalkan pengaturan lalu lintas, meningkatkan efisiensi bahan bakar, mengurangi emisi karbon, dan memperbaiki kualitas udara. Kesimpulannya, kolaborasi antar aktor ini tidak hanya membantu mengurangi kemacetan, tetapi juga menciptakan sistem transportasi yang lebih ramah lingkungan, aman, dan nyaman bagi pengguna jalan di Jakarta.
References
Agungnoe. (2023). Menilik potensi pemanfaatan Artificial Intelligence (AI) dalam ragam sektor di Indonesia. Universitas Gajah Mada. https://ugm.ac.id/id/berita/menilik-potensi-pemanfaatan-artificial-intelligence-ai-dalam-ragam-sektor-di-indonesia/
Alfianto, R. (2023). Atasi macet, Google sukses uji coba lampu lalu lintas berteknologi AI di beberapa negara ini. Jawaspos.com. https://www.jawapos.com/teknologi/013069920/atasi-macet-google-sukses-uji-coba-lampu-lalu-lintas-berteknologi-ai-di-beberapa-negara-ini
Alfrialldi, R. (2022). Project Green Light: Inovasi kecerdasan pintar Google untuk meminimalisir macet dan polusi di Jakarta. Cxomedia.id. https://www.cxomedia.id/general-knowledge/20221209134259-55-177402/project-green-light-inovasi-kecerdasan-pintar-google-untuk-meminimalisir-macet-dan-polusi-di-jakarta
Asheim, B., Boschma, R., & Cooke, P. (2011). Constructing regional advantage: platform policies based on related variety and differentiated knowledge bases. Regional Studies, 45(7), 893-904. https://doi.org/10.1080/00343404.2010.543126
Bayu. (2023). Google Green Light sukses pecahkan masalah lalu lintas. OAtekno.com. https://oatekno.com/google-green-light-sukses-pecahkan-masalah-lalu-lintas/
Budiartawan. (2023). Penerapan kecerdasan buatan untuk mengatasi kemacetan di ibu kota. Universitas Pendidikan Ganesha. https://upttik.undiksha.ac.id/penerapan-kecerdasan-buatan-untuk-mengatasi-kemacetan-di-ibu-kota/
Carayannis, E., & Campbell, D. (2010). Triple helix, quadruple helix and quintuple helix and how do knowledge, innovation and the environment relate to each other? International Journal of Social Ecology and Sustainable Development, 1(1), 41-69. https://doi.org/10.4018/jsesd.2010010105
Carayannis, E., & Grigoroudis, E. (2016). Quadruple innovation helix and smart specialization: Knowledge production and national competitiveness. Foresight and STI Governance, 10(1), 31-42. https://doi.org/10.17323/1995-459x.2016.1.31.42
Carayannis, E., Barth, T., & Campbell, D. (2012). The quintuple helix innovation model: Global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneurship, 1(1), 2. https://doi.org/10.1186/2192-5372-1-2
Cloudcomputing. (2022, December 8). Dishub DKI Jakarta Manfaatkan AI dalam Mengurai Kemacetan. Retrieved from https://www.cloudcomputing.id/berita/dishub-jakarta-manfaatkan-ai-mengurai-kemacetan
Diah Ayu Wardani, N. F. (2022). Mengenal proyek Green Light, pengurai kemacetan berteknologi AI garapan Dishub DKI Jakarta bersama Google. Voi.id. https://voi.id/berita/236058/mengenal-proyek-green-light-pengurai-kemacetan-berteknologi-ai-garapan-dishub-dki-bersama-google
Dubina, I., Carayannis, E., & Campbell, D. (2011). Creativity economy and a crisis of the economy? coevolution of knowledge, innovation, and creativity, and of the knowledge economy and knowledge society. Journal of the Knowledge Economy, 3(1), 1-24. https://doi.org/10.1007/s13132-011-0042-y
Google. (2024, July 29). Google Research: How Project Green Light uses AI to reduce gas emissions. https://blog.google/outreach-initiatives/sustainability/google-ai-project-greenlight/
Hapsari, N. E. (2023, April). Indeks kemacetan Jakarta naik, posisi berapa di dunia? Republika.co.id. https://news.republika.co.id/berita/rsn0az478/indeks-kemacetan-jakarta-naik-posisi-berapa-di-dunia
Helllen. (2023). Wow, terobosan baru! Bisakah AI ubah masa depan lebih maju? Mengulas Project Green Light dari Google. Sumeks Radio News. https://sumeksradio.disway.id/read/6230/wow-terobosan-baru-bisakah-ai-ubah-masa-depan-lebih-maju-mengulas-project-green-light-dari-google
Indraswari, D. L. (2023). Kemacetan di Jakarta yang kian sulit dihindari. Kompas.id. https://www.kompas.id/baca/riset/2023/03/23/kemacetan-di-jakarta-yang-kian-sulit-dihindari
Khayu Rohmi. (2023). Analisis kebijakan mengatasi kemacetan di DKI Jakarta dengan metode analisis hirarki proses. Journal of Law and Administrative Science, 1(1), 37–51. https://doi.org/10.33478/jlas.v1i1.2
Kompas. (2023, July 4). 20 Titik Lampu Lalu Lintas di DKI Pakai AI Google, Jika Lalin Padat Lampu Hijaunya Lebih Lama. https://www.kompas.tv/regional/422269/20-titik-lampu-lalu-lintas-di-dki-pakai-ai-google-jika-lalin-padat-lampu-hijaunya-lebih-lama#:~:text=JAKARTA%2C%20KOMPAS.TV,AI
Kunwar, R. (2024). Extension of the triple helix to quadruple to quintuple helix model. Journal of Apf Command and Staff College, 7(1), 241-280. https://doi.org/10.3126/japfcsc.v7i1.67006
Lee, N. and Rodríguez‐Pose, A. (2013). Original innovation, learnt innovation and cities: evidence from uk smes. Urban Studies, 50(9), 1742-1759. https://doi.org/10.1177/0042098012470395
Miller, K., McAdam, R., Moffett, S., Alexander, A., & Puthusserry, P. (2016). Knowledge transfer in university quadruple helix ecosystems: An absorptive capacity perspective. R and D Management, 46(2), 383-399. https://doi.org/10.1111/radm.12182
Muzaqi, A., & Hanum, F. (2020). Model quadruple helix dalam pemberdayaan perekonomian lokal berbasis desa wisata di desa Duren Sari Kabupaten Trenggalek. Jurnal Sains Sosio Humaniora, 4(2), 673-691. https://doi.org/10.22437/jssh.v4i2.11529
Nguyen, H., & Marquès, P. (2021). The promise of living labs to the quadruple helix stakeholders: Exploring the sources of (dis)satisfaction. European Planning Studies, 30(6), 1124-1143. https://doi.org/10.1080/09654313.2021.1968798
Prayudi, P., Ardhanariswari, K., & Probosari, N. (2020). The quadruple helix communication model in Yogyakarta’s creative city development. Jurnal Aspikom, 5(2), 294. https://doi.org/10.24329/aspikom.v5i2.704
Qian, H. (2016). Knowledge base differentiation in urban systems of innovation and entrepreneurship. Urban Studies, 54(7), 1655-1672.
Sandi, F. (2023). Kemacetan menggila bikin RI rugi triliunan, DKI sampai Rp65T. CNBC Indonesia. https://www.cnbcindonesia.com/news/20231030123147-4-484784/kemacetan-menggila-bikin-ri-rugi-triliunan-dki-sampai-rp65-t
Vallance, P., Tewdwr‐Jones, M., & Kempton, L. (2020). Building collaborative platforms for urban innovation: Newcastle City Futures as a quadruple helix intermediary. European Urban and Regional Studies, 27(4), 325-341. https://doi.org/10.1177/0969776420905630
Vlaisavljevic, V., Cabello‐Medina, C., & Looy, B. (2020). The role of policies and the contribution of cluster agency in the development of biotech open innovation ecosystem. Technological Forecasting and Social Change, 155, 119987.
Wang, H. and Qiu, Y. (2023). Effect of new urbanization on cities’ innovation in china: evidence from a quasi-natural experiment of a comprehensive pilot. Plos One, 18(4), e0284772. https://doi.org/10.1371/journal.pone.0284772
Yiğitcanlar, T. and Bulu, M. (2016). Urban knowledge and innovation spaces. Journal of Urban Technology, 23(1), 1-9. https://doi.org/10.1080/10630732.2016.1164443
Yun, J. and Liu, Z. (2019). Micro- and macro-dynamics of open innovation with a quadruple-helix model. Sustainability, 11(12), 3301. https://doi.org/10.3390/su11123301
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 NeoRespublica : Jurnal Ilmu Pemerintahan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
NeoRespublica : Jurnal Ilmu Pemerintahan is licensed under a 