Designing an Early Detection System for Agricultural Land to Reduce the Risk of Crop Failure Based on Information Technology
DOI:
https://doi.org/10.35870/ijsecs.v5i1.3919Keywords:
Agriculture, Information Technology, Land Quality, Soil Nutrient MonitoringAbstract
Crop failures in Indonesia still occur frequently and become a source of problems due to the reduction of food supplies for the community. One of the causes of crop failure is the decline in soil quality due to nutrient content, which is rarely detected by farmers. However, the land quality analysis process that has been carried out so far still tends to take a long time and incur high costs. Therefore, it is necessary to create technology that is expected to be able to detect land quality directly, quickly, and easily. PKM- KC Soil Nutrient Monitoring is designed by creating hardware that can analyze moisture, pH, temperature, and essential macro nutrients, namely nitrogen, phosphorus, and potassium. Additionally, software that can process data and produce results in the form of land quality, land improvement recommendations, and suggested crop commodities. This Soil Nutrient Monitoring tool has been tested and calibrated with an accuracy level of 95%. This tool successfully processes data from hardware in the form of temperature, pH, humidity, and NPK sent via a Bluetooth Low Energy network to software that produces outputs in the form of land quality, land improvement recommendations, and suggested crop commodities
Downloads
References
Daniel, L. P., Mahmudin, A., & Auliasari, K. (2020). Sistem pakar pertumbuhan dan perkembangan pada tanaman cabai dengan metode forward chaining. JATI (Jurnal Mahasiswa Teknik Informatika), 207-213.
Devianti, Sufardi, Zulfahrizal, & Munawar, A. A. (2019). Near infrared reflectance spectroscopy: Prediksi cepat dan simultan kadar unsur hara makro pada tanah pertanian. agriTECH, 39(1), 12-19.
Kementerian Keuangan Republik Indonesia. (2024). Jaga ketahanan pangan, sektor pertanian menjadi perhatian utama pemerintah. Diakses dari https://www.kemenkeu.go.id/informasi-publik/publikasi/berita-utama/Sektor-Pertanian-Fokus-Utama-Pemerintah
Ritung, S., Nugroho, K., Mulyani, A., & Suryani, E. (2011). Petunjuk teknis evaluasi lahan untuk komoditas pertanian (Edisi Revisi). Bogor: Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian, Badan Penelitian dan Pengembangan Pertanian, Kementerian Pertanian.
Montalvo-Romero, N., Montiel-Rosales, A., & Purroy-Vásquez, R. (2023). Agro-technological systems in traditional agriculture assistance: A systematic review. IEEE Access, 11, 123047-123069. https://doi.org/10.1109/ACCESS.2023.3329087
Zhao, C., & Li, M. (2018). Highlights in precision agriculture. Frontiers of Agricultural Science and Engineering. https://doi.org/10.15302/J-FASE-2018246
Ioja, I., Nedeff, V., Agop, M., & Nedeff, F. (2024). Some possibilities of the aerial drones use in precision agriculture – A review. Journal of Engineering Studies and Research, 29(4), 43-49. https://doi.org/10.29081/jesr.v29i4.006
Jadhav, N., Rajnivas, B., Subaprıya, V., Sivaramakrishnan, S., & Premalatha, S. (2023). Enhancing crop growth efficiency through IoT-enabled smart farming system. EAI Endorsed Transactions on Internet of Things, 10. https://doi.org/10.4108/eetiot.4604
Pal, S., VijayKumar, H., Akila, D., Jhanjhi, N., Darwish, O., & Amsaad, F. (2023). Information-centric IoT-based smart farming with dynamic data optimization. Computers, Materials & Continua, 74(2), 3865-3880. https://doi.org/10.32604/cmc.2023.029038
Yao, Y., & Zhang, Y. (2016). Application of maize precision fertilizer expert system in the maize production. https://doi.org/10.2991/icmmct-16.2016.259
Xu, H., & Wang, Z. (2021). Classification and recognition of crops based on GIS image. International Journal of Frontiers in Sociology, 3(17). https://doi.org/10.25236/ijfs.2021.031702
Lindblom, J., Lundström, C., Ljung, M., & Jönsson, A. (2016). Promoting sustainable intensification in precision agriculture: Review of decision support systems development and strategies. Precision Agriculture, 18(3), 309-331. https://doi.org/10.1007/s11119-016-9491-4
Hamed, M., Adam, A., Dawoods, M., & Fangama, I. (2018). Towards implementing the integrated technology of precision agriculture in Sudan. Journal of Agronomy Research, 1(2), 35-45. https://doi.org/10.14302/issn.2639-3166.jar-18-2331
Mohanty, P., Valagadri, V., & Ramya, S. (2022). Smart farming enabled by IoT and spectral imaging. Journal of Physics: Conference Series, 2161(1), 012044. https://doi.org/10.1088/1742-6596/2161/1/012044
Wati, S. (2020). System dynamics modelling for increasing of paddy production with land suitability level to support food security. International Journal of Advanced Trends in Computer Science and Engineering, 9(1), 233-240. https://doi.org/10.30534/ijatcse/2020/35912020
Liu, Y., Li, J., Liu, C., & Wei, J. (2022). Evaluation of cultivated land quality using attention mechanism-back propagation neural network. PeerJ Computer Science, 8, e948. https://doi.org/10.7717/peerj-cs.948
Ruiz-Martínez, I., Debolini, M., Sabbatini, T., Bonari, E., Lardon, S., & Marraccini, E. (2020). Agri-urban patterns in Mediterranean urban regions: The case study of Pisa. Journal of Land Use Science, 15(6), 721-739. https://doi.org/10.1080/1747423X.2020.1836054
Behairy, R., Baroudy, A., Ibrahim, M., Mohamed, E., Kucher, D., & Shokr, M. (2022). Assessment of soil capability and crop suitability using integrated multivariate and GIS approaches toward agricultural sustainability. Land, 11(7), 1027. https://doi.org/10.3390/land11071027
Wahyuni, R. (2025). Implementasi Sistem Informasi Geografis (SIG) untuk pemetaan dan pengelolaan sumber daya alam di kawasan pertanian. Journal of Human and Education (JAHE), 5(1), 545-550. https://doi.org/10.31004/jh.v5i1.2227
Cahyani, M. P. (2023). IoT dalam Smart Farming 4.0 untuk upaya tingkatkan efisiensi agribisnis. Teknois Jurnal Ilmiah Teknologi Informasi dan Sains, 3(2), 154-190.
Baladraf, T. T. (2024). Potensi penerapan teknologi Digital Twin pada industri pertanian dan pangan di Indonesia: Sebuah tinjauan literatur. Jurnal Teknotan, 18(1), 21.
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2025 Edy Atthoillah, Nadia Ayu Safitri, Wishal Azharyan Al Hisyam, Muhammad Sibyan Nafil Ilmi, Asbi Solihin, Dafit Ari Prasetyo

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
