Prediksi Hasil Panen Padi Menggunakan Pesawat Tanpa Awak

Holik, Abdul; Bachtiar, Riza Rahimi

doi:10.29303/jrpb.v7i2.139

Cited by 2 publications

(1 citation statement)

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“…Salah satu komoditas strategis yang membutuhkan perhatian khusus adalah padi. Penelitian ini bertujuan untuk memprediksi hasil panen padi (Holik & Bachtiar, 2019). Di sektor pertanian, Indonesia terkenal akan produksi berasnya yang cukup melimpah dan bahkan beberapa diantaranya terkenal sebagai daerah penghasil padi terbesar di Indonesia.…”

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Prediction of Land Area Harvest, Production, Rice Productivity: A Accuracy Analysis of ARIMA Methods

Ibrahim

Negara

Syaharuddin

2021

Protech

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This study aims to find out the best forecasting model with ARIMA method. The data used by this study is the area of harvest, production and productivity in East Java Province in 2000-2020. Data analysis used is ARIMA method with accuracy parameters used namely MSE, MAPE, and MAD. The results showed that (1) the error rate of ARIMA method in the harvest area, MAD value of 1,013,810,484; MSE value of 16,484,292,627,223; MAPE value of 48.25; (2) ARIMA method error rate in Production, MAD value of 5,975,703,193, MSE value of 5,886,684,845,403,590, MAPE value of 54.60; (3) the last error of ARIMA method in productivity, MAD value of 14,705, MSE value of 39,969, MAPE value of 25.62. The simulation results showed that of the four mathematical models that became the output of G-MFS, the 1st mathematical model became the best model in determining the prediction results due to smaller error parameters with a predicted planting area of 1,728,503 m2, a production rate of 9.609057 tons, and a productivity of 57.145% Abstrak: Penelitian ini bertujuan untuk mengetahui model peramalan terbaik dengan metode ARIMA. Data yang digunakan penelitian ini adalah luas panen, produksi dan produktivitas di Provinsi Jawa Timur Tahun 2000-2020. Analisis data yang digunakan adalah metode ARIMA dengan Parameter akurasi yang digunakan yaitu MSE, MAPE, dan MAD. Hasil penelitian menunjukkan bahwa (1) tingkat kesalahan metode ARIMA di luas panen, nilai MAD sebesar 1.013.810.484; nilai MSE sebesar 16.484.292.627,223; nilai MAPE sebesar 48,25; (2) tingkat kesalahan metode ARIMA di Produksi, nilai MAD sebesar 5.975.703,193, nilai MSE sebesar 5.886.684.845.403,590, nilai MAPE sebesar 54,60; (3) terakhir kesalahan metode ARIMA di produktivitas, nilai MAD sebesar 14,705, nilai MSE sebesar 39,969, nilai MAPE sebesar 25,62. Hasil simulasi menunjukkan bahwa dari empat model matematika yang menjadi output G-MFS maka model matematika ke-1 menjadi model terbaik dalam menentukan hasil prediksi karena parameter error yang lebih kecil dengan hasil prediksi luas tanam sebesar 1.728.503 m2, tingkat produksi 9.609057 ton, dan produktivitas sebesar 57,145%

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Prediction of Land Area Harvest, Production, Rice Productivity: A Accuracy Analysis of ARIMA Methods

Ibrahim

Negara

Syaharuddin

2021

Protech

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The Effects of Vertical and Horizontal Distance on The Performance of QR Code Detection System

Hakim

Yatmono

Nugraha

et al. 2021

J. Phys.: Conf. Ser.

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The development of image processing science is needed to solve problems that are often faced by humans, especially in the field of computer vision. One application of the image processing system is on a package delivery mission during the Covid-19 pandemic. Drones are used to send packages by detecting the presence of Qr Code to determine the point of delivery location. In this study, tests will be carried out on the maximum distance (vertical and horizontal) that can be detected by the Qr Code detection system and the length of time to detect the presence of the Qr Code (time spent). The test shows that the greater the data collection distance (vertical and horizontal), the longer the system detects the presence of the Qr Code. The maximum horizontal distance that the Qr Code can detect is 155 cm, while the vertical distance is 115 cm. The detection distance at vertical is smaller than horizontal because the vertical distance is affected by the field of view (FoV).

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Prediksi Hasil Panen Padi Menggunakan Pesawat Tanpa Awak

Cited by 2 publications

References 0 publications

Prediction of Land Area Harvest, Production, Rice Productivity: A Accuracy Analysis of ARIMA Methods

Prediction of Land Area Harvest, Production, Rice Productivity: A Accuracy Analysis of ARIMA Methods

The Effects of Vertical and Horizontal Distance on The Performance of QR Code Detection System

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