The Introduction of Indonesia Revolutionizing Policy on Sustainable Food Production with Quantum Computing to Support the Food Self-Sufficiency Programme

Muhamad Rusliyadi

doi:10.14710/potensi.%Y.27705

DOI: https://doi.org/10.14710/potensi.%25Y.27705

The Introduction of Indonesia Revolutionizing Policy on Sustainable Food Production with Quantum Computing to Support the Food Self-Sufficiency Programme

*Muhamad Rusliyadi

- Polytechnic of Agricultural Development Yogyakarta-Magelang, Indonesia

under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:

Abstract

Indonesia faces pressing challenges in achieving sustainable food self-sufficiency due to climate change, population growth, land degradation, and inefficient agricultural systems. To address these multifaceted issues, the Indonesian government is exploring the integration of cutting-edge technologies, including quantum computing, into national agricultural policies. This paper examines how quantum computing can transform sustainable food production by enabling advanced simulations, optimizing supply chains, and enhancing precision agriculture practices. By aligning quantum technologies with Indonesia's food self-sufficiency goals, this policy revolution presents a paradigm shift in how complex agricultural decisions are made, resources are managed, and rural development is supported. The paper explores the theoretical framework, policy implications, and practical pathways for implementing quantum-enabled solutions, contributing to national food security and global sustainability agendas.

Fulltext Email colleagues

Keywords: Quantum Computing, Sustainable Food Production, Food Self-Sufficiency, Agricultural Policy, Indonesia, Precision Agriculture, Smart Farming, Food Security, Technology Integration, Rural Development

Funding: Polytechnic of Agricultural Development Yogyakarta-Magelang

Article Metrics:

Article Info

Section: Articles

Language : EN

In Vol 10, No 2 (2026): June 2026

Altemeier, K., Tabor, S. R., & Daris, N. (1991). Modelling policy options in the Indonesian agricultural sector. Applied Economics, 23(3), 435–446. https://doi.org/10.1080/00036849100000018
Ayeni, O., & Olagoke-Komolafe, O. E. (2024). Advancing food safety standards through technology integration and policy development. 2(1), 035–046. https://doi.org/10.57219/crrms.2024.2.1.0039
Badan Pusat Statistik. (2023). Statistik Indonesia 2023. https://www.bps.go.id
Bansod, P., Usharani, R., Oliver, A., Prasad, S. J., Sharma, D. M., & Myilsamy, S. (2024). Quantum Computing-Powered Agricultural Transformation (pp. 169–195). IGI Global. https://doi.org/10.4018/979-8-3693-0968-1.ch007
Bansod, P., Usharani, R., Oliver, A., Prasad, S. J., Sharma, D. M., & Myilsamy, S. (2024). Quantum Computing-Powered Agricultural Transformation (pp. 169–195). IGI Global. https://doi.org/10.4018/979-8-3693-0968-1.ch007
Bappenas. (2020). RPJMN 2020–2024: National Medium-Term Development Plan. https://www.bappenas.go.id
Booth, J. M., Wang, Y., & Martell, M. (2023). Optimizing agricultural logistics using quantum annealing: A real-world case study. Quantum Information Processing, 22(3), 78–85. https://doi.org/10.1007/s11128-023-03920-x
BRIN (Badan Riset dan Inovasi Nasional). (2022). Strategi Riset Nasional 2022–2045. https://www.brin.go.id
BRIN. (2022). Roadmap Riset Nasional: Teknologi Digital dan Ketahanan Pangan 2022–2045. Jakarta: Badan Riset dan Inovasi Nasional
BRIN. (2023). Rencana Induk Riset Nasional (RIRN) 2022–2045. Badan Riset dan Inovasi Nasional. https://www.brin.go.id
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., & Aspuru-Guzik, A. (2022). Quantum chemistry in the age of quantum computing. Chemical Reviews, 122(2), 1321–1370. https://doi.org/10.1021/acs.chemrev.1c00799
D-Wave Systems Inc. (2023). Quantum supply chain optimization case studies. Retrieved from https://www.dwavesys.com
D-Wave Systems. (2023). Optimizing food supply chains using quantum annealing algorithms. Journal of Quantum Logistics, 12(2), 75–91. https://doi.org/10.1016/j.qlog.2023.05.004
Dermoredjo, S. K., Muawanah, U., Hidayat, A. S., Hidayat, R., Estiningtyas, W., & Pasaribu, S. M. (2024). National food development policies in Indonesia: An analysis of food sustainability and security. BIO Web of Conferences, 119, 05006. https://doi.org/10.1051/bioconf/202411905006
FAO. (2021). Digital Agriculture Report: Rural Transformation through Digital Technologies. Rome: Food and Agriculture Organization
Hamilton-Hart, N. (2019). Indonesia’s Quest for Food Self-sufficiency: A New Agricultural Political Economy? Journal of Contemporary Asia, 49(5), 734–758. https://doi.org/10.1080/00472336.2019.1617890
Harnowo, D., Susanto, G., Bayu, M. S. Y. I., Prayogo, Y., Harsono, A., & Mejaya, I. J. (2024). The potential and prospects for the implementation of precision farming for soybean production in Indonesia. https://doi.org/10.1088/1755-1315/1312/1/012014
Herawati, A. R., Yuniningsih, T., & Dwimawanti, I. H. (2023). Assesing the Impact of Digital Technologies on Governance Policies for Food Security: A Case Study of Indonesia. KnE Social Sciences. https://doi.org/10.18502/kss.v8i17.14112
Hisanah Hibatullah, F., Raidasari, F., Triana, A. P., Siagian, V. K. L., & Simarmata, T. (2024). Revealing Food Fulfillment Threads and Innovative Technology for Enhancing Rice Productivity and Ensuring the Food Security in Indonesia. International Journal on Food, Agriculture and Natural Resources, 5(3), 45–51. https://doi.org/10.46676/ij-fanres.v5i3.316
Hisjam, M., Octyajati, N., Sutopo, W., & Ali, A. (2020). A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia). 19(2), 144–156. https://doi.org/10.25077/JOSI.V19.N2.P144-156.2020
IBM Research. (2023). Quantum applications in agriculture. Retrieved from https://research.ibm.com
IBM Research. (2023). Quantum computing applications in life sciences and agriculture. IBM Journal of Research and Development, 67(3), 1–14. https://doi.org/10.1147/JRD.2023.012345
IBM. (2023). Quantum Computing in Agriculture: Challenges and Opportunities. https://research.ibm.com
Indian Institute of Science. (2022). Quantum Algorithms for Monsoon Forecasting. https://iisc.ac.in
Indian Institute of Science. (2022). Quantum algorithms for monsoon forecasting. Retrieved from https://iisc.ac.in
Indian Institute of Science. (2022). Quantum-enhanced monsoon prediction models: A preliminary study. Climate Modelling Letters, 9(4), 198–207. https://doi.org/10.1007/s00382-022-12345
Indonesia. (2022). Organization for Economic Cooperation and Development. https://doi.org/10.1787/2a372026-en
Kumalasari, D. A., Hanani, N., & Purnomo, M. (2013). Skenario kebijakan swasembada beras di indonesia rice self-sufficiency policy scenario in indonesia
Madsen, M., Wiebe, N., & Broughton, M. (2022). Quantum computing for sustainable development. Nature Sustainability, 5(1), 9–11. https://doi.org/10.1038/s41893-021-00816-8
Maraveas, C., Konar, D., Michopoulos, D. K., Arvanitis, K. G., & Peppas, K. (2024). Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2024.108680
Ministry of Agriculture. (2022). Strategi Nasional Pertanian Berkelanjutan 2022–2045. Jakarta: Kementerian Pertanian Republik Indonesia
Ministry of Agriculture. (2023). Food Estate Evaluation Report. Jakarta: Kementan
Ministry of Agriculture. (2023). Laporan evaluasi pertanian 4.0 di Jawa Tengah dan Jawa Barat. Kementerian Pertanian Republik Indonesia
Ministry of Agriculture. (2023). Progress Report on Food Estate Pilot Areas in Central Kalimantan. Jakarta: Kementerian Pertanian
Ministry of Agriculture. (2023). Strategi Pertanian Digital dan Keamanan Data Pertanian Indonesia. Jakarta: Kementerian Pertanian
Ministry of Communication and Informatics. (2021). Indonesia Digital Roadmap 2021–2024
Ministry of Communication and Information Technology. (2020). Palapa Ring broadband project report. Kominfo
Ministry of Communication and Information Technology. (2021). Palapa Ring National Broadband Final Report. https://www.kominfo.go.id
Ministry of National Development Planning (Bappenas). (2020). National Medium-Term Development Plan (RPJMN) 2020–2024. https://www.bappenas.go.id
Misra, S., Singh, D., & Roy, D. (2021). Quantum computing for big data optimization in agriculture. Future Internet, 13(9), 242. https://doi.org/10.3390/fi13090242
Mubarokah, S. L., & Miftah, H. (2023). Prospects of Indonesian Rice Self-sufficiency As a Food Security Effort Using a Dynamic System Model. Jurnal Pertanian. https://doi.org/10.30997/jp.v14i2.9788
Musa, S. F. P. D., & Basir, K. H. (2021). Smart farming: towards a sustainable agri-food system. British Food Journal, 123(9), 3085–3099. https://doi.org/10.1108/BFJ-03-2021-0325
OECD. (2022). Digital Opportunities for Better Agricultural Policies. Paris: OECD Publishing. https://doi.org/10.1787/3a6f0f3b-en
OECD. (2022). Quantum technologies and national strategies: Report on global trends. OECD Science, Technology and Innovation Policy Papers, No. 124. https://doi.org/10.1787/f0d3d29d-en
Prayuginingsih, H., Hariyati, Y., Mulyo Aji, J. M., Rondhi, M., & Muhtadi, K. (2024). Strategies for achieving targeted Indonesian rice self-sufficiency: A comprehensive policy analysis. BIO Web of Conferences, 119, 01004. https://doi.org/10.1051/bioconf/202411901004
Preskill, J. (2018). Quantum computing in the NISQ era and beyond. Quantum, 2, 79. https://doi.org/10.22331/q-2018-08-06-79
Prihadyanti, D., & Aziz, S. (2022). Indonesia toward sustainable agriculture – Do technology‐based start‐ups play a crucial role? Business Strategy and Development, 6(2), 140–157. https://doi.org/10.1002/bsd2.229
Rahmah, H. A. (2022). Application of SWOT analysis and milkfish trading strategy in Indonesia. Agrifo, 7(2), 90. https://doi.org/10.29103/ag.v7i2.5712
Riandari, F., Alesha, A., & Sihotang, H. T. (2021). Quantum computing for production planning. International Journal of Enterprise Modelling, 15(3), 163–175. https://doi.org/10.35335/emod.v15i3.50
Rochman, N. T., Gumbira-Sa’id, E., Daryanto, A., & Nuryartono, N. (2011). Analysis of Indonesian Agroindustry Competitiveness in Nanotechnology Development Perspective Using SWOT-AHP Method. The International Journal of Business and Management, 6(8), 235. https://doi.org/10.5539/IJBM.V6N8P235
Saliem, H. P., Mardianto, S., Suryani, E., & Widayanti, S. M. (2021). Policies and strategies for reducing food loss and waste in Indonesia. 892(1), 012091. https://doi.org/10.1088/1755-1315/892/1/012091
Singh, R., Agarwal, N., & Desai, A. (2022). Quantum-enhanced forecasting models for climate-resilient agriculture. International Journal of Climate Informatics, 9(4), 233–249. https://doi.org/10.1016/j.clim.2022.02.009
Siregar, M., & Rachman, B. (2021). Challenges and prospects of food self-sufficiency in Indonesia: A policy analysis. Jurnal Kebijakan Pertanian, 15(2), 89–102. https://doi.org/10.25077/jkp.15.2.89-102.2021
Suryana, A. (2014). Menuju Ketahanan Pangan Indonesia Berkelanjutan 2025: Tantangan dan Penanganannya. 32(2), 123–135. https://doi.org/10.21082/FAE.V32N2.2014.123-135
Trisia, M. A., Osozawa, K., & Bai, H. (2016). How to Feed 311 Million of Indonesian People by 2050? Advancing Local Food Adaptation and Food Security Policy. KnE Life Sciences, 3(3), 49–54. https://doi.org/10.18502/KLS.V3I3.417
Warr, P. (2009). Working Papers in Trade and Development
Warr, P. (2011). Food security vs. food self-sufficiency: The Indonesian Case. Social Science Research Network, 39(1), 56–71. https://doi.org/10.2139/SSRN.1910356
Wihardja, M., Arifin, B., & Amir, M. (2023). Towards More Sustainable Agro-food Systems in Indonesia. https://doi.org/10.35497/565196
World Bank. (2022). Digital Indonesia: Acceleration Toward Inclusive Digital Economy. https://worldbank.org
World Economic Forum. (2023). The promise of quantum computing for agriculture and climate adaptation. [White paper]. https://www.weforum.org
Мухамедиева, Д. Т., Safarova, L., & Kudratov, A. T. (2024). Modeling the rational use of natural resources and innovative quantum technologies in agribusiness. E3S Web of Conferences, 539, 01013. https://doi.org/10.1051/e3sconf/202453901013

Last update:

No citation recorded.

Last update:

No citation recorded.

under http://creativecommons.org/licenses/by-sa/4.0.

Starting from 2021, the author(s) whose article is published in the Agrisocionomics journal attain the copyright for their article. By submitting the manuscript to Agrisocionomics, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

Their article is original, written by the mentioned author(s),
Has never been published before,
Does not contain statements that violate the law, and
Does not violate the rights of others, is subject to copyright held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal.

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. Agrisocionomics will not be held responsible for anything that may arise because of the writer's internal dispute. Agrisocionomics will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. Agrisocionomics allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Agrisocionomics to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.