Designing an Early Detection System for Agricultural Land to Reduce the Risk of Crop Failure Based on Information Technology

Authors

DOI:

https://doi.org/10.35870/ijsecs.v5i1.3919

Keywords:

Agriculture, Information Technology, Land Quality, Soil Nutrient Monitoring

Abstract

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

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Author Biographies

  • Edy Atthoillah, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

  • Nadia Ayu Safitri, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

  • Wishal Azharyan Al Hisyam, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

  • Muhammad Sibyan Nafil Ilmi, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

  • Asbi Solihin, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

  • Dafit Ari Prasetyo, Caltex Riau Polytechnic

    Master of Applied Computer Engineering, Politeknik Caltex Riau, Pekanbaru City, Riau Province, Indonesia

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Published

2025-04-01

How to Cite

Atthoillah, E., Safitri, N. A., Al Hisyam, W. A., Ilmi, M. S. N., Solihin, A., & Prasetyo, D. A. (2025). Designing an Early Detection System for Agricultural Land to Reduce the Risk of Crop Failure Based on Information Technology. International Journal Software Engineering and Computer Science (IJSECS), 5(1), 235-247. https://doi.org/10.35870/ijsecs.v5i1.3919

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