Perancangan Sistem Monitoring Cerdas Berbasis Internet of Things (IoT) dengan Algoritma Random Forest Regression untuk Deteksi Ketinggian pada Tanaman Tomat Cherry
Design of an Intelligent Monitoring System Based on Internet of Things (IoT) with Random Forest Regression Algorithm for Height Detection in Cherry Tomato Plants
DOI:
https://doi.org/10.57152/malcom.v5i1.1612Keywords:
Internet of Things, Random Forest Regression, Sistem Monitoring Cerdas, Tomat CherryAbstract
Tomat cherry merupakan komoditas bernilai di Indonesia dengan permintaan yang meningkat setiap tahunnya. Penelitian ini mengembangkan sistem pemantauan cerdas berbasis Internet of Things (IoT) untuk tanaman tomat cherry menggunakan algoritma Random Forest Regression (RFR). Sistem ini memanfaatkan mikrokontroler ESP32 dan lima sensor untuk memantau parameter lingkungan, serta aktuator untuk pengaturan kondisi optimal. Data sensor diproses dan disimpan di platform Thingspeak dan diintegrasikan dengan Google Colab untuk prediksi ketinggian tanaman. Hasil prediksi ditampilkan di layar LCD dan dikirimkan sebagai notifikasi melalui aplikasi Telegram. Penelitian ini mengisi kesenjangan dari studi sebelumnya dengan mengintegrasikan berbagai sensor, aktuator, dan platform cloud dalam satu sistem yang komprehensif. Evaluasi sistem menunjukkan nilai Mean Squared Error (MSE) sebesar 0.8294 dan R^2 Score sebesar 0.8939, serta hasil pengujian Black Box Testing memastikan fungsionalitas optimal dalam berbagai skenario. Hasil penelitian ini dapat memberikan manfaat dalam penerapan teknologi IoT dan machine learning untuk monitoring dan pengelolaan tanaman tomat cherry, harapannya meningkatkan efisiensi dan produktivitas pertanian.
References
Badan Pusat Statistik, “Produksi Tanaman Sayuran, 2021-2023,” https://www.bps.go.id/id/statistics-table/2/NjEjMg==/produksi-tanaman-sayuran.html.
Liputan6, “8 Kesalahan Menanam Tomat di Pot, Hambat Pertumbuhan,” https://www.liputan6.com/hot/read/4398175/8-kesalahan-menanam-tomat-di-pot-hambat-pertumbuhan.
A. Mzibra et al., “Improving growth, yield, and quality of tomato plants (Solanum lycopersicum L.) by the application of moroccan seaweed-based biostimulants under greenhouse conditions,” Agronomy, vol. 11, no. 7, Jul. 2021, doi: 10.3390/agronomy11071373.
Camilo Chiang, Daniel Bånkestad, and Günter Hoch, “Reaching Natural Growth: The Significance of Light and Temperature Fluctuations in Plant Performance in Indoor Growth Facilities,” Multidisciplinary Digital Publishing Institute, pp. 13–12, 2020.
KOMINFO, “Revolusi Industri 4.0,” https://aptika.kominfo.go.id/2020/01/revolusi-industri-4-0/.
Ashok J, Monika Bhatnagar, N. Rajendran, R. Priyadarshini, and Dinesh Mavaluru, INTERNET OF THINGS (IOT): SYSTEMS AND APPLICATIONS, 1st ed. NTL Publication, 2023.
Altexsoft, “IoT Architecture: the Pathway from Physical Signals to Business Decisions.” Accessed: May 30, 2023. [Online]. Available: https://www.altexsoft.com/blog/iot-architecture-layers-components/
Uniconverge Technologies, “IoT Based Smart Agriculture Monitoring System: Revolutionizing Modern Farming,” https://www.uniconvergetech.in/blog/iot-based-smart-agriculture-monitoring-system.
Abdennabi Morchid, Rachid El Alami, Aeshah A. Raezah, and Yassine Sabbar, “Applications of Internet of Things (IoT) and Sensors Technology to Increase Food Security and Agricultural Sustainability: Benefits and Challenges,” Ain Shams Engineering Journal , Sep. 2024.
Carlos A. Hernández-Morales, J.M. Luna-River, and Rafael Perez-Jimenez, “Design and Deployment of a Practical IoT-Based Monitoring System for Protected Cultivations,” ELSEVIER, vol. 186, pp. 51–64, Mar. 2022.
Dodi Yudo Setyawan, Rahmalia Syahputri, Nurfiana, and Nurjoko, “Internet of Things (IoT) Application in Smart Farming to Optimize Tomato Growth,” DARMAJAYA, 2022.
R. Nurhasanah, L. Savina, Z. M. Nata, and I. Zulkhair, “Design and Implementation of IoT based Automated Tomato Watering System Using ESP8266,” in Journal of Physics: Conference Series, IOP Publishing Ltd, Jun. 2021. doi: 10.1088/1742-6596/1898/1/012041.
Maria Carolina da Silva Andrea, João Pedro F. de Oliveira Nascimento, Fabrícia Conceição Menez Mota, and Rodrigo de Souza Oliveira, “Predictive Framework of Plant Height in Commercial Cotton Fields Using a Remote Sensing and Machine Learning Approach,” ELSEVIER, vol. 4, Aug. 2023.
Paulo Eduardo Teodoro et al., “Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data,” Multidisciplinary Digital Publishing Institute, Oct. 2021.
S. Kumar, P. Tiwari, and M. Zymbler, “Internet of Things is a revolutionary approach for future technology enhancement: a review,” J Big Data, vol. 6, no. 1, 2019, doi: 10.1186/s40537-019-0268-2.
Darine Ameyed, Fehmi Jaafar, Fabio Petrillo, and Mohamed Cheriet, “Quality and Security Frameworks for IoT-Architecture Models Evaluation,” SpringerLink: SN Computer Science, vol. 4, May 2023.
Omer Ali, Mohamad Khairi Ishak, Muhammad Kamran Liaquat Bhatti, Imran Khan, and Ki-Il Kim, “A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface,” MDPI: Sensors, Jan. 2022.
Ryan G. McClarren, “Decision Trees and Random Forests for Regression and Classification,” SpringerLink: Machine Learning for Engineers , May 2021.
Nima Beheshti, “Random Forest Regression,” https://towardsdatascience.com/random-forest-regression-5f605132d19d.
M. Artiyasa, I. Himawan Kusumah, A. Suryana, A. De Wibowo Muhammad Sidik, and A. Pradiftha Junfithrana, “Comparative Study of Internet of Things (IoT) Platform for Smart Home Lighting Control Using NodeMCU with Thingspeak and Blynk Web Applications,” Jurnal Teknik Elektro, vol. 2, no. 1, pp. 1–6, 2020.
Greg, “How Much Humidity Does My Cherry Tomato Need?,” https://greg.app/cherry-tomato-humidity/.
Vegetables Bayer, “Temperature, Humidity, and Water in Protected Culture Tomatoes,” https://www.vegetables.bayer.com/au/en-au/resources/growing-tips/cultivation-insights/temperature--humidity--and-water-in-protected-culture-tomatoes.html#:~:text=Tomato%20plants%20can%20tolerate%20a,anywhere%20from%2060%20to%2085%25.
MDN Web Docs, “An overview of HTTP,” https://developer.mozilla.org/en-US/docs/Web/HTTP/Overview.
Patricia S York, “How To Grow And Care For Cherry Tomatoes,” https://www.southernliving.com/garden/edible/how-to-grow-cherry-tomatoes#:~:text=Light,six%20to%20eight%20hours%20daily.
Kiersten Rankel, “What Temperature Does My Sweet Valentine Cherry Tomato Need?,” https://greg.app/sweet-valentine-cherry-tomato-temperature/.
Amber Noyes, “Creating The Perfect Soil pH For Acid Loving Tomatoes,” https://www.gardeningchores.com/soil-ph-for-tomato/.
Claudia Roca, “What is Telegram and Why is It so Special?,” https://global.thepower.education/blog/what-is-telegram-and-why-is-it-so-special.
Sara Brown, “Machine learning, explained,” https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained.
Jason Brownlee, “A Gentle Introduction to k-fold Cross-Validation,” https://machinelearningmastery.com/k-fold-cross-validation/.
Walker Rowe, “Mean Square Error & R2 Score Clearly Explained,” https://www.bmc.com/blogs/mean-squared-error-r2-and-variance-in-regression-analysis/, May 2018.
Terence Shin, “Understanding Feature Importance in Machine Learning,” https://builtin.com/data-science/feature-importance#:~:text=Feature%20importance%20involves%20calculating%20a,ones%20are%20the%20most%20important.
Sourojit Das, “What is Black Box Testing: Types, Tools & Examples,” https://www.browserstack.com/guide/black-box-testing.
A. Rahmah, N. Sepriyanti, M. H. Zikri, I. Ambarani, and M. Y. bin Shahar, “Implementation of Support Vector Machine and Random Forest for Heart Failure Disease Classification,” Public Research Journal of Engineering, Data Technology and Computer Science, vol. 1, no. 1, pp. 34–40, Jul. 2023, doi: 10.57152/predatecs.v1i1.816.