IMPLEMENTASI METODE K-MEANS UNTUK KLASTERISASI LAHAN PERTANIAN STRAWBERRY DI DAERAH SUBANG BERBASIS IoT(INTERNET OF THINGS)

Authors

  • Usep Tatang Suryadi STMIK Subang
  • Rima Selviani STMIK Subang
https://doi.org/10.47561/a.v13i2.192
This Abstract has been read 430 times

Abstract

The level of acidity, humidity, and air temperature on the soil has a major effect on the growth of strawberry plants, therefore a tool is needed to see the level of acidity, soil moisture plus air temperature and a clustering system for agricultural land suitable for strawberry plants so that it can be used as a reference in any area. Which is suitable for planting strawberries on agricultural land of farmers in the Subang area.

The data placed by the system is obtained from direct research into the field and soil sampling to each area point determined by the author with various considerations ranging from the type of land, temperature, and level of soil dryness, the data obtained is the result of sensors implanted into the microcontroller. and connected via a hotspot network from a smartphone which then uses the k-means clustering algorithm so that it can be inputted into the database using the node-red platform. The data that has been entered into the database can be directly / calculated using the k-means method that the author has embedded in the system, and the final result of this system is that we can see the clustering results of the data that has been placed by the system into 3 clusters and the author uses 2 boards microcontroller and 3 sensors, for the microcontroller board the author uses Arduino UNO and Node MCU ESP8266, for the sensor the author uses a soil moisture sensor (soil moisture) from China, a pH probe/soil pH sensor, and a local product temperature sensor (DHT11) from Indonesia.

The system built produces a cluster of agricultural areas suitable for the cultivation of strawberry plants.

Keywords: Internet of Things (IoT), K-Means Clustering, Node-Red

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References

Aryuni, M. (2018, Juli 17). Binus University. Diambil kembali dari Binus University: https://sis.binus.ac.id/2016/12/15/tahap-tahap-data-mining/

Ashton, K. (2009). Internet of Things.

Budiharto, W. (2010). Robotika - Teori dan Implementasinya. Yogyakarta: Andi.

Caesar, Y. P., Isnawaty, & Aksara, L. M. (2016). Rancangan Bangun Prototype System Monitoring Kelembaban Tanah Melalui SMS Berdasarkan Hasil Penyiraman Tanaman "Studi Kasus Tanaman Cabai dan Tomat". Semantik, 97-110.

Dhuhita, W. M. (2015). Clustering Menggunakan Metode K-means Untuk Menentukan Status Gizi Balita. Jurnal Informatika, 14.

Fatoni, A., & Rendra, D. B. (2014). Perancangan Prototype Sistem Kendali Lampu Menggunakan Handphone Android Berbasis Arduino. Jurnal PROSISKO, 23-29.

Hikmatullah, Tafakresnanto, C., Sholeh, Budiman, C., Muslihat, L., S, K., . . . Sudiarto. (2015). Atlas Peta Pengembangan Kawasan Padi Kabupaten Subang, Provinsi Jawa Barat. Kementrian Pertanian, 8.

Jansen, C. (2013). Internet of Things (IoT). Diambil kembali dari Internet of Things (IoT): https://www.techopedia.com/definition/28247/internet-of-things-iot

Larose, D. T. (2004). Discovering Knowledge in Data : An Introduction to Data Mining. New Jersey: John Wiley & Son, Inc.

Meivaldi, R. (2018). Sistem Pengecekan pH Tanah Otomatis Menggunakan Sensor pH Probe Berbasis Android dengan Algoritma Binary Search.

Mineraud, J., Mazhelis, O., Su, X., & Tarkoma, S. (2016). A Gap Analysis of Internet-of-Things Platform.

Mulyaningsih, S., & Djumali. (2014). Pengaruh Kelembaban Tanah Terhadap Karakter Agronomi, Hasil Rajang Kering dan Kadar Nikotin Tembakau (Nicotiana Tabacum L; Solanaceae) Temanggung Pada Tiga Jenis Tanah. Berita Biologi, 1-11.

Muningsih, E., & Kiswati, S. (2015). Penerapan Metode K-means untuk Clustering Produk Online Shop dalam Penentuan Stok Barang. Jurnal Bianglala Informatika, 11.

Rahayu, W. (2017). Kajian Etnobotani Potensi Tanaman Obat di Desa Buniara Kecamatan Tanjungsiang Kabupaten Subang.

Riadi, M. (2018, 04 30). Kajian Pustaka. Diambil kembali dari Kajian Pustaka: https://www.kajianpustaka.com/2017/09/data-mining.html

Sambudi, E. A. (2014). Purwarupa Pemantau Debit Air PDAM Menggunakan Sensor Aliran Air G1/2 Berbasis Arduino Uno.

Saputro, I. A., Suseno, J. E., & Widodo, C. E. (2017). Rancang Bangun Sistem Pengaturan Kelembaban Tanah Secara Realtime Menggunakan Mikrokontroler dan Diakses di Web. Youngster Physics Journal, 40-47.

Tan, P.-N., Steinbach, M., & Kumar, V. (2006). Introduction to Data Mining. 490.

Turban, Rainer, & Potter. (2005). Introduction to Information Technology. 20.

Xu, R., & Wunsch, D. C. (2009). Clustering. Canada: IEEE Press.

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Published

2020-10-01

How to Cite

[1]
U. T. Suryadi and R. Selviani, “IMPLEMENTASI METODE K-MEANS UNTUK KLASTERISASI LAHAN PERTANIAN STRAWBERRY DI DAERAH SUBANG BERBASIS IoT(INTERNET OF THINGS)”, JTIK, vol. 13, no. 2, pp. 130-140, Oct. 2020.

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