Penggunaan Artificial Intelligence (AI) dalam Membangun Sistem Pangan Berkelanjutan di Indonesia

Authors

  • Renaldo Fajar Nugraha Susilo Institut Desain & Bisnis Bali
  • Sya'ban Fauzan Athallah Universitas Brawijaya

DOI:

https://doi.org/10.35886/imagine.v3i2.710

Keywords:

Artificial Intelligence, sistem pangan berkelanjutan, Indonesia

Abstract

Tantangan global untuk mencapai sistem pangan yang berkelanjutan telah mendorong eksplorasi teknologi inovatif untuk mengatasi kompleksitasnya. Studi ini menyelidiki peran Kecerdasan Buatan (AI) dalam memajukan keberlanjutan sistem pangan dalam konteks Indonesia. Penelitian ini membahas aplikasi AI di berbagai tahap rantai pasokan pangan, termasuk produksi pertanian, distribusi, kontrol kualitas, dan manajemen sumber daya. Berdasarkan ulasan literatur yang komprehensif, penelitian ini menyoroti potensi AI untuk mengoptimalkan alokasi sumber daya, memprediksi hasil panen, meningkatkan logistik, memastikan keamanan pangan, dan meminimalkan dampak lingkungan. Temuan ini mengungkapkan korelasi yang menjanjikan antara penggunaan AI dan penciptaan sistem pangan yang lebih berkelanjutan, menunjukkan potensi untuk mengurangi limbah, meningkatkan efisiensi, dan meningkatkan kolaborasi di antara para pemangku kepentingan. Studi ini disimpulkan dengan menekankan pentingnya penelitian berkelanjutan dan investasi dalam strategi yang didorong oleh AI untuk mempromosikan sistem pangan yang tahan lama dan bertahan untuk masa depan Indonesia. 

Author Biography

Sya'ban Fauzan Athallah, Universitas Brawijaya

S-1 Administrasi Bisnis, Fakultas Ilmu Administrasi

References

Data Commons, “Indonesia,” Indonesia - Place Explorer - Data Commons, https://datacommons.org/place/country/IDN (accessed Sep. 6, 2023).

Nuraini, “Ternyata ini 5 Alasan Indonesia Disebut Negara Agraris,” Bisnis.com, https://www.bisnis.com/read/20220920/638/1579 276/ternyata-ini-5-alasan-indonesia-disebut-negar a-agraris (accessed Aug. 30, 2023).

D. F. Rahman, “Jumlah penduduk Indonesia tumbuh 1,17% PADA 2022: Databoks,” Pusat Data Ekonomi dan Bisnis Indonesia, https://databoks.katadata.co.id/datapublish/2022/ 07/11/jumlah-penduduk-indonesia-tumbuh-117-p ada-2022 (accessed Aug. 30, 2023).

Administrator, “Pengaruh Perubahan Iklim Terhadap Sektor Pertanian,” Upland Project, https://upland.psp.pertanian.go.id/public/artikel/1 687919315/pengaruh-perubahan-iklim-terhadap-s ektor-pertanian (accessed Aug. 30, 2023).

F. Gultom and S. Harianto, “Lunturnya Sektor Pertanian di Perkotaan,” Jurnal Analisa Sosiologi, vol. 11, no. 1, pp. 49–72, 2022. doi:10.20961/jas.v11i1.56324

H. Limanseto, “Benahi Tata Kelola Pupuk Bersubsidi, Pemerintah Siapkan Sektor Pertanian Lebih Inovatif dan Adaptif dengan Kemajuan Teknologi,” Kementerian Koordinator Bidang Perekonomian Republik Indonesia, https://ekon.go.id/publikasi/detail/4355/benahi-ta ta-kelola-pupuk-bersubsidi-pemerintah-siapkan-se ktor-pertanian-lebih-inovatif-dan-adaptif-dengan-k emajuan-teknologi (accessed Aug. 30, 2023).

B. A. Sisungkunon, A. A. Siregar, F. R. Moeis, S. Sabrina, and M. Adriansyah, “Pemanfaatan Benih Unggul dalam Program Bantuan Benih Padi Pemerintah Indonesia,” Lembaga Penyelidikan Ekonomi dan Masyarakat - Fakultas Ekonomi dan Bisnis - Universitas Indonesia, https://www.lpem.org/id/pemanfaatan-benih-ung gul-dalam-program-bantuan-benih-padi-pemerinta h-indonesia/ (accessed Aug. 30, 2023).

H. Limanseto, “Strategi Pemerintah Mendorong Ketahanan Pangan dan Kesejahteraan Petani,”

Kementerian Koordinator Bidang Perekonomian Republik Indonesia,

https://www.ekon.go.id/publikasi/detail/3044/stra tegi-pemerintah-mendorong-ketahanan-pangan-da n-kesejahteraan-petani (accessed Aug. 30, 2023).

BBUSKP, “Menteri Pertanian Menjadi menteri Terbaik ke-4, Jadi Topik apel pagi,” Balai Besar Uji Standar Karantina Pertanian, http://bbuskp.karantina.pertanian.go.id/menteri-p ertanian-menjadi-menteri-terbaik-ke-4-jadi-topik-a pel-pagi/ (accessed Sep. 6, 2023).

Diperta Jatim, “Program Dinas Pertanian Provinsi Jawa Timur,” Dinas Pertanian dan Ketahanan Pangan Provinsi Jawa Timur, https://pertanian.jatimprov.go.id/profil-ppid/progr am/ (accessed Sep. 6, 2023).

P. L. Mafongoya and G. W. Sileshi, “Indices to identify and quantify ecosystem services in Sustainable Food Systems,” The Role of Ecosystem Services in Sustainable Food Systems, pp. 43–71, 2020. doi:10.1016/b978-0-12-816436-5.00003-2

P. Sukhdev, P. May, and A. Müller, “Fix Food Metrics,” Nature, vol. 540, no. 7631, pp. 33–34, 2016. doi:10.1038/540033a

D. Gustafson et al., “Seven Food System Metrics of Sustainable Nutrition Security,” Sustainability, vol. 8, no. 3, p. 196, 2016. doi:10.3390/su8030196

S. D. Keesstra et al., “The significance of soils and soil science towards realization of the United Nations Sustainable Development Goals,” SOIL, vol. 2, no. 2, pp. 111–128, 2016.

doi:10.5194/soil-2-111-2016

H. Westhoek, J. S. I. Ingram, S. V. Berkum, L. Ozay, and M. Hajer, “Food Systems and natural resources,” A Report of the Working Group on Food Systems of the International Resource Panel, Aug. 2016. doi:10.18356/dcbe47a6-en

F. G. Santeramo, “Exploring the link among food loss, waste and food security: What the research should focus on?,” Agriculture & Food Security, vol. 10, no. 1, 2021.

doi:10.1186/s40066-021-00302-z

O. Calicioglu, A. Flammini, S. Bracco, L. Bellù, and R. Sims, “The future challenges of food and agriculture: An integrated analysis of trends and solutions,” Sustainability, vol. 11, no. 1, p. 222, 2019. doi:10.3390/su11010222

S. Wahbeh, F. Anastasiadis, B. Sundarakani, and I. Manikas, “Exploration of food security challenges towards more sustainable food production: A Systematic Literature Review of the major drivers and policies,” Foods, vol. 11, no. 23, p. 3804, 2022. doi:10.3390/foods11233804

R. Capone, H. E. Bilali, P. Debs, G. Cardone, and N. Driouech, “Food System Sustainability and food security: Connecting the dots,” Journal of Food Security,

http://pubs.sciepub.com/jfs/2/1/2/index.html (accessed Aug. 27, 2023).

Y. Wang, Z. Yuan, and Y. Tang, “Enhancing Food Security and environmental sustainability: A critical review of food loss and waste management,” Resources, Environment and Sustainability, vol. 4, p. 100023, 2021.

doi:10.1016/j.resenv.2021.100023

N. M. Holden, E. P. White, Matthew. C. Lange, and T. L. Oldfield, “Review of the sustainability of food systems and transition using the internet of food,” npj Science of Food, vol. 2, no. 1, 2018. doi:10.1038/s41538-018-0027-3

V. Welingutami, “Farming in the digital age: Exploring IOT-driven precision agriculture,” Koltiva, https://www.koltiva.com/post/farming-in-the-digit al-age-exploring-iot-driven-precision-agriculture (accessed Aug. 29, 2023).

P. Wadhera and A. Grasso, “What are some of the challenges and opportunities of using IOT sensors for environmental monitoring?,” How IoT Sensors Can Monitor and Protect the Environment, https://www.linkedin.com/advice/1/what-some-ch allenges-opportunities-using-iot (accessed Aug. 29, 2023).

B. M. Enuh, “Why are supply chains taking a digital approach to food waste?,” Azo Life Sciences, https://www.azolifesciences.com/article/How-Sup ply-Chains-Are-Taking-a-Digital-Approach-to-Food- Waste.aspx (accessed Aug. 29, 2023).

V. Balaska, Z. Adamidou, Z. Vryzas, and A. Gasteratos, “Sustainable crop protection via Robotics and Artificial Intelligence Solutions,” Machines, vol. 11, no. 8, p. 774, 2023.

doi:10.3390/machines11080774

T. Bosona and G. Gebresenbet, “The role of blockchain technology in promoting traceability systems in agri-food production and supply

chains,” Sensors, vol. 23, no. 11, p. 5342, 2023. doi:10.3390/s23115342

M. Dhanaraju, P. Chenniappan, K. Ramalingam, S. Pazhanivelan, and R. Kaliaperumal, “Smart farming: Internet of things (iot)-based sustainable agriculture,” Agriculture, vol. 12, no. 10, p. 1745, 2022.

doi:10.3390/agriculture12101745

Dr. T. Zia, “Precision farming: How ai and drones are reshaping agriculture,” Techopedia, https://www.techopedia.com/precision-farming-h ow-ai-and-drones-are-reshaping-agriculture (accessed Aug. 29, 2023).

wiliot, “Supply Chain Visibility & Omnichannel Accuracy,” Wiliot,

https://www.wiliot.com/supply-chain-visibility (accessed Aug. 29, 2023).

] K. von Bueren, “7 ways to leverage AI to maximise supply chain efficiency,” Procurement Magazine, https://procurementmag.com/technology-and-ai/ 7-ways-to-leverage-ai-to-maximise-supply-chain-ef ficiency (accessed Aug. 29, 2023).

T. Chalishazar, “Impact of IOT on the Transport & Logistics Industry,” Impact of IoT on the Transport & Logistics Industry, https://www.peerbits.com/blog/impact-of-iot-on-t ransport-and-logistics-industry.html (accessed Aug. 29, 2023).

E. Burns, N. Laskowski, and L. Tucci, “What is artificial intelligence and how does AI work? TechTarget,” Enterprise AI, https://www.techtarget.com/searchenterpriseai/d efinition/AI-Artificial-Intelligence (accessed Aug. 29, 2023).

A. Taneja et al., “Artificial Intelligence: Implications for the Agri-Food Sector,” Agronomy, vol. 13, no. 5, p. 1397, 2023.

doi:10.3390/agronomy13051397

,44] M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Artificial Intelligence Applications for Industry 4.0: A literature-based study,” Journal of Industrial Integration and Management, vol. 07, no. 01, pp. 83–111, 2021.

doi:10.1142/s2424862221300040

R. M. Al Batayneh et al., “It governance framework and Smart Services Integration for future development of Dubai Infrastructure

utilizing AI and Big Data, its reflection on the Citizens Standard of Living,” Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021), pp. 235–247, 2021. doi:10.1007/978-3-030-76346-6_22

M. Janssen, P. Brous, E. Estevez, L. S. Barbosa, and T. Janowski, “Data governance: Organizing data for Trustworthy Artificial Intelligence,” Government Information Quarterly, vol. 37, no. 3, p. 101493, 2020. doi:10.1016/j.giq.2020.101493

K. Y. Ngiam and I. W. Khor, “Big Data and machine learning algorithms for health-care delivery,” The Lancet Oncology, vol. 20, no. 5, 2019. doi:10.1016/s1470-2045(19)30149-4

R. Ben Ayed and M. Hanana, “Artificial intelligence to improve the Food and agriculture sector,” Journal of Food Quality, vol. 2021, pp. 1–7, 2021. doi:10.1155/2021/5584754

Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision Support Systems for Agriculture 4.0: Survey and challenges,” Computers and Electronics in Agriculture, vol. 170, p. 105256, 2020. doi:10.1016/j.compag.2020.105256

, 55, 69] K. Malhotra and M. Firdaus, “Application of Artificial Intelligence in IoT Security for Crop Yield Prediction”, RRST, vol. 2, no. 1, pp. 136–157, Oct. 2022.

E. Alreshidi, “Smart Sustainable Agriculture (SSA) solution underpinned by internet of things (IOT) and Artificial Intelligence (AI),” International Journal of Advanced Computer Science and Applications, vol. 10, no. 5, 2019. doi:10.14569/ijacsa.2019.0100513

, 89] M. Javaid, A. Haleem, I. H. Khan, and R. Suman, “Understanding the potential applications of artificial intelligence in agriculture sector,” Advanced Agrochem, vol. 2, no. 1, pp. 15–30,

doi:10.1016/j.aac.2022.10.001

L. Chen et al., “Artificial Intelligence-based solutions for climate change: A Review,” Environmental Chemistry Letters, 2023. doi:10.1007/s10311-023-01617-y

H. Pallathadka et al., “A review of using artificial intelligence and machine learning in Food and Agriculture Industry,” 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022. doi:10.1109/icacite53722.2022.9823427

P. Faria, T. Nogueira, A. Ferreira, C. Carlos, and

L. Rosado, “AI-powered mobile image acquisition of vineyard insect traps with automatic quality and adequacy assessment,” Agronomy, vol. 11, no. 4, p. 731, 2021. doi:10.3390/agronomy11040731

S. S. Chukkapalli et al., “Ontologies and Artificial Intelligence Systems for the Cooperative Smart Farming Ecosystem,” IEEE Access, vol. 8, pp. 164045–164064, 2020.

doi:10.1109/access.2020.3022763

S. Menon and K. Jain, “Blockchain technology for transparency in Agri-Food Supply Chain: Use cases, limitations, and Future Directions,” IEEE Transactions on Engineering Management, pp. 1–15, 2022. doi:10.1109/tem.2021.3110903

Y. Xiang, Y. Chen, J. Xu, and Z. Chen, “Research on sustainability evaluation of green building engineering based on Artificial Intelligence and Energy Consumption,” Energy Reports, vol. 8, pp. 11378–11391, 2022.

doi:10.1016/j.egyr.2022.08.266

Z. A. Ali, M. Zain, M. S. Pathan, and P. Mooney, “Contributions of Artificial Intelligence for circular economy transition leading toward sustainability: An explorative study in agriculture and Food Industries of Pakistan,” Environment, Development and Sustainability, 2023.

doi:10.1007/s10668-023-03458-9

E. McLennon, B. Dari, G. Jha, D. Sihi, and V. Kankarla, “Regenerative Agriculture and Integrative Permaculture for Sustainable and Technology Driven Global Food Production and Security,” Agronomy Journal, vol. 113, no. 6, pp. 4541–4559, 2021. doi:10.1002/agj2.20814

C. Ganeshkumar, S. K. Jena, A. Sivakumar, and

T. Nambirajan, “Artificial Intelligence in agricultural value chain: Review and Future Directions,” Journal of Agribusiness in Developing and Emerging Economies, vol. 13, no. 3, pp. 379–398, 2021. doi:10.1108/jadee-07-2020-0140

P. Horton, “A Sustainable Food Future,” Royal Society Open Science, vol. 10, no. 8, 2023.

doi:10.1098/rsos.230702

R. Dara, S. M. Hazrati Fard, and J. Kaur, “Recommendations for ethical and responsible use of artificial intelligence in Digital Agriculture,” Frontiers in Artificial Intelligence, vol. 5, 2022. doi:10.3389/frai.2022.884192

P. F. Borowski, “Innovative Processes in managing an enterprise from the energy and food sector in the era of industry 4.0,” Processes, vol. 9, no. 2, p. 381, 2021. doi:10.3390/pr9020381

J. Lee, T. Suh, D. Roy, and M. Baucus, “Emerging Technology and Business Model Innovation: The case of artificial intelligence,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 5, no. 3, p. 44, 2019. doi:10.3390/joitmc5030044

J. Jung et al., “The potential of remote sensing and artificial intelligence as tools to improve the resilience of Agriculture Production Systems,” Current Opinion in Biotechnology, vol. 70, pp. 15–22, 2021. doi:10.1016/j.copbio.2020.09.003

E. Bwambale, F. K. Abagale, and G. K. Anornu, “Smart Irrigation Monitoring and control strategies for improving water use efficiency in precision agriculture: A Review,” Agricultural Water Management, vol. 260, p. 107324, 2022. doi:10.1016/j.agwat.2021.107324

T. Talaviya, D. Shah, N. Patel, H. Yagnik, and M. Shah, “Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides,” Artificial Intelligence in Agriculture, vol. 4, pp. 58–73, 2020. doi:10.1016/j.aiia.2020.04.002

P. Kumar and D. Saha, “Revolutionizing the Food Industry: How Artificial Intelligence is Transforming Food Processing,” Food and Scientific Reports, vol. 4, no. 2, pp. 60–64, Jan. 2023.

,63,64] A. Pathak and A. Rathore, “Dairy and Artificial Intelligence: Enhancing Efficiency and Productivity,” Just Agriculture, vol. 3, no. 12, pp. 90–104, Aug. 2023.

,66,67] S. Sharma, V. K. Gahlawat, K. Rahul, R. S. Mor, and M. Malik, “Sustainable innovations in the food industry through Artificial Intelligence and big data analytics,” Logistics, vol. 5, no. 4, p. 66, 2021. doi:10.3390/logistics5040066

J. F. Arinez, Q. Chang, R. X. Gao, C. Xu, and J. Zhang, “Artificial Intelligence in advanced manufacturing: Current status and future outlook,” Journal of Manufacturing Science and Engineering, vol. 142, no. 11, Nov. 2020. doi:10.1115/1.4047855

, 91] M. Javaid, A. Haleem, I. H. Khan, and R. Suman, “Understanding the potential applications of artificial intelligence in agriculture sector,” Advanced Agrochem, vol. 2, no. 1, pp. 15–30, Oct.

doi:10.1016/j.aac.2022.10.001

F. Susanto, N. K. Prasiani, and P. Darmawan, “Implementasi internet of things Dalam Kehidupan Sehari-Hari,” Jurnal Imagine, vol. 2, no. 1, pp. 35–40, 2022. doi:10.35886/imagine.v2i1.329

A. Renda, “The age of foodtech: Optimizing the agri-food chain with Digital Technologies,” Achieving the Sustainable Development Goals Through Sustainable Food Systems, pp. 171–187, Oct. 2019. doi:10.1007/978-3-030-23969-5_10

W. W. LaMorte, “Behavioral change models,” Diffusion of Innovation Theory, https://sphweb.bumc.bu.edu/otlt/mph-modules/s b/behavioralchangetheories/behavioralchangethe ories4.html (accessed Sep. 10, 2023).

,80,82] C. S. Alexander, M. Yarborough, and A. Smith, “Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and Food System Technology - Precision Agriculture,” SpringerLink,

https://link.springer.com/article/10.1007/s11119-0 23-10063-3 (accessed Sep. 10, 2023).

,81,83] L. Manning et al., “Artificial Intelligence and ethics within the food sector: Developing a common language for technology adoption across the supply chain,” Trends in Food Science; Technology, vol. 125, pp. 33–42, Jul. 2022. doi:10.1016/j.tifs.2022.04.025

,77,78,79] Caantin, “The benefits and challenges of implementing AI and automation in restaurants,” Caantin,

https://www.caantin.com/post/the-benefits-and-c hallenges-of-implementing-ai-and-automation-in-r estaurants (accessed Sep. 10, 2023).

A. Gardeazabal et al., “Knowledge management for innovation in agri-food systems: A conceptual framework,” Knowledge Management Research Practice, vol. 21, no. 2, pp. 303–315, Feb. 2021. doi:10.1080/14778238.2021.1884010

BPS, “Berita Resmi Statistik,” Badan Pusat Statistik, https://www.bps.go.id/pressrelease.html (accessed Sep. 12, 2023).

V. Dharmaraj and C. Vijayanand, “Artificial Intelligence (AI) in agriculture,” International Journal of Current Microbiology and Applied Sciences, vol. 7, no. 12, pp. 2122–2128, Dec. 2018. doi:10.20546/ijcmas.2018.712.241

,88] M. Javaid, A. Haleem, I. H. Khan, and R. Suman, “Understanding the potential applications of artificial intelligence in agriculture sector,” Advanced Agrochem, vol. 2, no. 1, pp. 15–30, Mar.

doi:10.1016/j.aac.2022.10.001

S. Velmurugan, V. Balaji, T. Manoj Bharathi, and K. Saravanan, “An IOT based Smart Irrigation System using Soil Moisture and Weather Prediction,” Int. J. Eng. Res. Technol. (Ahmedabad), vol. 8, no. 7, 2020.

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Published

2023-12-22

How to Cite

Susilo, R. F. N., & Athallah, S. F. (2023). Penggunaan Artificial Intelligence (AI) dalam Membangun Sistem Pangan Berkelanjutan di Indonesia. Jurnal Imagine, 3(2), 104–116. https://doi.org/10.35886/imagine.v3i2.710