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ELKHA : Jurnal Teknik Elektro
Published by Universitas Tanjungpura
ISSN : 18581463     EISSN : 25806807     DOI : http://dx.doi.org/10.26418
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering
The ELKHA publishes high-quality scientific journals related to Electrical and Computer Engineering and is associated with FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia / Indonesian Electrical Engineering Higher Education Forum). The scope of this journal covers the theory development, design and applications on Automatic Control, Electronics, Power and Energy Systems, Telecommunication, Informatics, and Industrial Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 12 Documents
 1   2 
Search results for , issue "Vol. 12 No. 2 October 2020" : 12 Documents clear
Perancangan Sistem Pendingin Photovoltaic dengan Memanfaatkan Kontroler Water Spray abdullah - alhaddad; Muhammad Abdurrahman Hafidhuddien; Ant Ardath Kristi; Noviadi Arief Rachman; Bambang - Susanto; Agus - Risdiyanto; Agus - Junaedi
ELKHA : Jurnal Teknik Elektro Vol. 12 No. 2 October 2020
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v12i2.39647

Abstract

Temperature is one of the parameters other than radiation that can affect the performance of photovoltaic (PV) in relation to the output power and efficiency. This paper discusses the design of the PV cooling system using waters pray that controlled automatically. The temperature of the PV on the sensor as input to the controller and the output is the switch settings to turn on/off the pump in spraying water to the surface of the PV panel with the intention that the PV is always maintained at normal temperatures. The system was tested simultaneously on 4 PV panels @ 100Wp by involving PV without a cooling system with the same capacity during the day and the result was compared. Based on the results of PV temperature measurements in relation to the output power shows that PV with a cooling system generates higher output power than PV without a cooling system. By taking into account the involvement of power consumed by the cooling system consists of a controller and pump, the efficiency of PV rises slightly to 1.07 times.
Klasifikasi Jenis Buah dan Sayuran Menggunakan SVM Dengan Fitur Saliency-HOG dan Color Moments Yohannes Yohannes; Muhammad Rizky Pribadi; Leo Chandra
ELKHA : Jurnal Teknik Elektro Vol. 12 No. 2 October 2020
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v12i2.42160

Abstract

Fruit is part of a plant that comes from the flower or pistil of the plant and usually has seeds. Meanwhile, vegetables are leaves, legumes, or seeds that can be cooked. Fruits and vegetables have many variants that can be distinguished based on color, shape, and texture. The Saliency-HOG feature and Color moments were used in this study to extract shapes and colors features in fruit and vegetable images. In this study, the Support Vector Machine (SVM) method was used to classify the types of fruit and vegetables. The dataset used in this study is a public dataset consisting of 114 images of fruit and vegetables. Each type of fruit and vegetable contains 100 images consisting of 70 images as training data and 30 images as testing data. There are 4 saliency features used in the testing phase, namely Region Contrast (RC), Frequency-tuned (FT), Histogram Contrast (HC), and Spectral Residual (SR). Based on the test results, the Saliency-HOG and Color Moments features were able to provide good results with the best precision, recall, and accuracy being 98.57%, 98.55%, and 99.120%, respectively.

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