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Jurusan Teknik Elektro FT Universitas Lampung Gedung-H Fakultas Teknik Unila Jl. Prof. Soemantri Brojonegoro No. 1 Bandar Lampung 35145 Telp: +62882-6703-2879, +62853-5788-8738 WA: +62882-6703-2879 Website: http://electrician.unila.ac.id
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Electrician : Jurnal Rekayasa dan Teknologi Elektro
Published by Universitas Lampung
ISSN : -     EISSN : 25493442     DOI : https://doi.org/10.23960/elc
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Engineering
Focus and Scope Publication of scientific research results in the field of electrical engineering which covers: ~ Power system analysis ~ Electrical energy conversion ~ High voltage technology ~ Electronics ~ Control system ~ Telecommunication system ~ Computer and interfacing ~ Information engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 32 Documents
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Search results for , issue "Vol. 16 No. 1 (2022)" : 32 Documents clear
Analisis Karakterisasi Penyakit pada Tanaman Pisang Menggunakan Kamera Termal dengan Metode Tresholding Pranita, Elka
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 16 No. 1 (2022)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

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Abstract

Abstract Banana is a fruit plant that is widely produced in Indonesia. Unfortunately, this plant is verysusceptible to diseases which can reduce the quality and quantity of the crop. This paper proposes diseasedetection in banana plants using a thermal camera. The detection is carried out using image processingtechniques with multilevel thresholding methods. The image is captured using a thermal camera, then theimage is preprocessed to suit what is desired. After that, so that the position is the same as the image takenusing a digital camera, the image produced by the thermal camera is carried out by an image registrationprocess. The image processing result is compared with the ground truth image obtained from a digitalcamera to determine the effectiveness of the proposed method. The effectiveness of the proposed method ismeasured using the parameters Recall, Precision, F-measure, and Accuracy. The effectiveness of theproposed method is effective enough to produce a recall value of 76.65 percents, Precision 58.38 percents, F-measure64.68 percents, and Accuracy 62.87percents. Keywords Banana Plant Disease, Thermal Image, RGB Image, Multi Thresholding, EffectivenessMeasurement.
Front Matter Volume 16 No 1 Januari 2022 Electrician, Electrician
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 16 No. 1 (2022)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

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Abstract

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