Pemanfaatan Kecerdasan Buatan dibidang Kesehatan Lingkungan dalam Upaya Mencapai Tujuan Pembangunan yang Berkelanjutan
Utilisation of Artificial Intelligence in Environmental Health to Achieve Sustainable Development Goals
Keywords:
Artificial Intelligence, Environmental Health, Sustainable DevelopmentAbstract
The utilization of artificial intelligence (AI) in the field of environmental health is one of the important innovations for achieving sustainable development goals (SDGs). AI has enormous potential in monitoring air quality, managing waste, and mitigating environmental disasters such as forest fires and water pollution. However, the application of this technology in Indonesia still faces various challenges, including limited digital infrastructure, a lack of standardized environmental data, a lack of experts, and an inadequate regulatory framework. These barriers hinder the full potential of AI in supporting more effective and efficient environmental management. Synergies between the government, academia, the private sector, and society are necessary to overcome these challenges and create an ecosystem conducive to AI development. We must take strategic steps that support technological innovation, increase investment in digital infrastructure, and build human resource capacity. With this collaborative approach, AI can play a significant role in strengthening efforts to maintain environmental health, improve people's quality of life, and accelerate the achievement of sustainable development goals in Indonesia. This article provides a comprehensive insight into the potential, challenges, and solutions of AI implementation in environmental health as part of a sustainable development strategy.
Downloads
References
Miles J. WHO global air quality guidelines. Part matter (PM25 PM10), ozone, nitrogen dioxide, sulfur dioxide carbon monoxide. 2021;1–360.
Zebua RSY, Khairunnisa K, Hartatik H, Pariyadi P, Wahyuningtyas DP, Thantawi AM, et al. Fenomena Artificial Intelligence (Ai). PT. Sonpedia Publishing Indonesia; 2023.
Munawaruzaman A. Perkembangan Kecerdasan Buatan di Berbagai Bidang. 2024;
Rachmadi T, Kom S. Mengenal apa itu internet of things. Vol. 1. Tiga Ebook; 2020.
Rev GDC, Under D, Procedure S. Global Digital Compact_Rev_3_silence_procedure. 2024;(July).
Zhong W, Liu Y, Dong K, Ni G. Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China. Energy Econ [Internet]. 2024;138:107829. Available from: https://www.sciencedirect.com/science/article/pii/S0140988324005371
Singh M, Singh M, Singh SK. Tackling municipal solid waste crisis in India: Insights into cutting-edge technologies and risk assessment. Sci Total Environ [Internet]. 2024;917:170453. Available from: https://www.sciencedirect.com/science/article/pii/S0048969724005904
Hidup KL. Pedoman teknis penyusunan inventarisasi emisi pencemar udara di perkotaan. Jakarta Asdep Pengendali Pencemaran Udar Sumber Berger Deputi Bid Pengendali Pencemaran Lingkung Kementeri Lingkung Hidup Pencemaran Udar di Daerah Jakarta. 2013;
Mulyadi M, Lestari TRP, Alawiyah F, Wahyuni D, Astri H, Martiany D, et al. Pembangunan Berkelanjutan: Dimensi Sosial, Ekonomi, dan Lingkungan. Pus Pengkajian, Pengolah Data dan Inf Sekr Jenderal DPR RI dan Azza Graf. 2015;226 hlm.
Global Climate Litigation Report: 2023 Status Review. Global Climate Litigation Report: 2023 Status Review. 2023.
UNEP. Global Waste Management Outlook 2024 : Beyond An Age Of Waste. 2024.
Keeping the Promise - Annual Report 2023. Keep Promise - Annu Rep 2023. 2024;
Biro Perencanaan Kementerian Lingkungan Hidup dan Kehutanan. Laporan Kinerja Biro Perencanaan KLHK Tahun 2020. Biro Perencanaan Kementerian Lingkungan Hidup dan Kehutanan. 2020.
Harimbawa M. Persistensi Bahan Bakar Fosil : Analisis Path Dependence dalam Bauran Konsumsi-Energi Indonesia Periode 1980 – 2015. 2015;143–60.
Wahyudi J. Mitigasi Emisi Gas Rumah Kaca. J Litbang Media Inf Penelitian, Pengemb dan IPTEK. 2018;12(2):104–12.
Hussain S, Ahonen V, Karasu T, Leviäkangas P. Sustainability of smart rural mobility and tourism: A key performance indicators-based approach. Technol Soc. 2023 Aug;74.
Yigitcanlar T, Mehmood R, Corchado JM. Green artificial intelligence: Towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability. 2021;13(16):8952.
Ueda D, Walston SL, Fujita S, Fushimi Y, Tsuboyama T, Kamagata K, et al. Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future. Diagn Interv Imaging. 2024 Nov;105(11):453–9.
Moyano-Fernández C, Rueda J, Delgado J, Ausín T. May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice. Glob Bioeth = Probl di Bioet. 2024;35(1):2322208.
Yuliyana R, Daswito R. Menggali Potensi ChatGPT pada Peran Tenaga Kesehatan: Looking into the Potential of ChatGPT in the Role Healthcare Professionals. J ILMU DAN Teknol Kesehat TERPADU [Internet]. 2023;3(2):46–50. Available from: https://ejurnal.poltekkes-tanjungpinang.ac.id/index.php/jkstl/article/view/138
Lampropoulos G, Garzón J, Misra S, Siakas K. The Role of Artificial Intelligence of Things in Achieving Sustainable Development Goals: State of the Art. Sensors (Basel). 2024 Feb;24(4).
Fan Z, Yan Z, Wen S. Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health. Vol. 15, Sustainability. 2023.
Di Vaio A, Palladino R, Hassan R, Escobar O. Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. J Bus Res. 2020;121:283–314.
Syamsuddin S, Jusliani J. Implementasi Telemedicine dan Implikasinya terhadap Akses serta Kualitas Pelayanan Kesehatan di Komunitas Pedesaan: Mini Review. J Ris Sains dan Kesehat Indones. 2024;1(3):117–23.
Ridlo IA, Putri NK, Intiasari AD, Sandra C, Firdausi NJ, Adriansyah AA, et al. FGD dalam Penelitian kesehatan. Airlangga University Press; 2018.
Zain NS, Ulya N, Wasir R, Istanti ND. Memanfaatkan Data untuk Meningkatkan Pengambilan Keputusan Berbasis Bukti dalam Sistem Kesehatan Indonesia: Memanfaatkan Data untuk Meningkatkan Pengambilan Keputusan Berbasis Bukti dalam Sistem Kesehatan Indonesia. Afiasi J Kesehat Masy. 2024;9(1):25–34.
Nainggolan H, Nuraini R, Sepriano S, Aryasa IWT, Meilin A, Adhicandra I, et al. GREEN TECHNOLOGY INNOVATION: Transformasi Teknologi Ramah Lingkungan berbagai Sektor. PT. Sonpedia Publishing Indonesia; 2023.
Nuraziza S, Sudirman WFR. Keseimbangan Antara Inovasi Teknologi dan Kepatuhan Regulasi: Tantangan dalam Mengintegrasikan Artificial Intellegence (AI) dalam Manajemen Keuangan. Money J Financ Islam Bank. 2024;2(1):47–57.
Savitri A. Revolusi industri 4.0: mengubah tantangan menjadi peluang di era disrupsi 4.0. Penerbit Genesis; 2019.
Utami P. Transformasi Administrasi Publik: Inovasi Dan Adaptasi Menuju Efisiensi Dan Pelayanan Publik Berkualitas. Papatung J Ilmu Adm Publik, Pemerintah dan Polit. 2023;6(2):1–9.
Zein HMHM, Septiani S. Digitalisasi Pemerintahan Daerah: Katalis Untuk Integrasi dan Optimasi Good Governance. Sada Kurnia Pustaka; 2024.
Setyabudi E, Reynaldy R. Membangun Masa Depan: Peran AI dalam Transformasi Kota Pintar yang Berkelanjutan. In: Prosiding Seminar Nasional Informatika. 2024. p. 637–43.
Published
How to Cite
Issue
Section
Copyright (c) 2024 JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.