* Corresponding Author
Hide
Show all
Sistem Pengukuran Nitrogen, Fosfor, Kalium Dengan Local Binary Pattern Dan Analisis Regresi
https://doi.org/10.22146/ijeis.34132 Muhammad Miftahul Amri(1*), Raden Sumiharto(2)
(1) Prodi Elektronika dan Instrumentasi, FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Nitrogen, Phosphorus and Potassium (NPK) are macro elements that important for the paddy development. NPK is a parameter that used for calculating fertilizer dosage. Current NPK measurement through laboratory requires a relatively long time, so we design a new system that can speed up the process and provide correct fertilizer dosage recommendations.
This paper proposes an android based system using Local Binary Pattern (LBP) and Regression Analysis to measure soil nutrients and provide fertilizer dosage recommendations based on the LPT Bogor's formula. Samples of soil image taken from rice fields in Special Region of Yogyakarta. The measurement is processed by extracting LBP features from the soil image that has through the pre-processing stage. The extraction results were then analyzed using Multiple Linear Regression (MLR). The equation results from MLR is used to calculate NPK.
The results show that the proposed system can detect NPK levels in paddy fields in Yogyakarta and provide fertilization dosage with an average detection accuracy of 70.65% (N 94.98%, P 50.84 %, and K 66.14%). The accuracy was obtained from the image taking at an optimal height of 70 cm and optimal angle of 0o to the ground surface. The average processing time is 0.61 seconds.
Keywords
Full Text:
PDFReferences
[1] Badan Pusat Statistik, 2017, Provinsi Daerah Istimewa Yogyakarta Dalam Angka 2017, BPS Provinsi DIY, Yogyakarta.
[2] R. Amat, J. Y. Sari, and I. P. Ningrum, “Implementasi Metode Local Binary Patterns untuk Pengenalan Pola Huruf Hiragana dan Katakana pada Smartphone,” JUTI: Jurnal Ilmiah Teknologi Informasi, no 2, vol. 15 - Juli 2017, pp 162-172, 2017 [Online]. Available: http://juti.if.its.ac.id/index.php/juti/article/viewFile/612/344. [Accessed: 12-October-2017]
[3] Z. Pasongli, 2013, Identifikasi Seseorang Berdasarkan Citra Pembuluh Darah Menggunakan Ekstraksi Fitur Local Binary Pattern, Thesis, Jurusan Teknik Elektro, Universitas Kristen Maranatha, Bandung, [Online]. Available: http://repository.maranatha.edu/7908/. [Accessed: 08-December-2017]
[4] E. Acar and M. S. Ӧzerdem, “The Texture Feature Extraction of Mardin Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Image Textures,” 23thSignal Processing and Communications Applications Conference (SIU), pp 665-665, 2015 [Online]. Available: http://www ieeexplore.ieee.org/document/7129912. [Accessed: 02-February-2018]
[5] Riyanto, 2017, Filtering [Online]. Available: http://riyanto.lecturer.pens.ac.id/citra-bab6.pdf. [Accessed: 22-February-2018]
[6] S. Firmansyah, D. Lelono, and R. Sumiharto, “Implementasi Pengolahan Citra Digital Sebagai Pengukur Nilai Resistor Pada Sistem Pemindai Resistor Berbasis Android,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 5, no. 1, p. 1, 2015 [Online]. Available: https://jurnal.ugm.ac.id/ijeis/article/view/7148/5596. [Accessed: 16-February-2018]
[7] D. Rahmawati, A. Harjoko, and R. Sumiharto, “Purwarupa Sistem Tracking Sungai Menggunakan Unmanned Aerial Vehicle,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 3, no. 2, pp. 2088–3714, 2013 [Online]. Available: https://jurnal.ugm.ac.id/ijeis/article/view/3890/3179. [Accessed: 22-January-2018]
[8] LPT Bogor, 2014, Aplikasi Perhitungan Rekomendasi Pemupukan Menggunakan Nomograf Analisa Tanah, LPT, Bogor.
[9] R. Kurniawan and B. Yuniarto, 2016, Analisis Regresi: Dasar dan Penerapannya dengan R, Edisi Pertama, Kencana, Jakarta.
[10] W. Widiarso, 2010, Catatan Pada Uji Linearitas Hubungan [Online]. Available: http://www.widhiarso.staff.ugm.ac.id/files/widhiarso_2010_-_uji_linearitas_hubungan.pdf. [Accessed: 08-May-2017]
[11] Sudaryono, 2014, Teori dan Aplikasi dalam Statistik, Penerbit ANDI, Yogyakarta.
DOI: https://doi.org/10.22146/ijeis.34132
Article Metrics
Abstract views : 3023
| 
views : 19037
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1