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All Journal Indonesian Journal of Electrical Engineering and Computer Science Journal Of Electrical Engineering And Technology
Anisa Harumwidiah
Universitas 17 Agustus 1945 Surabaya

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An evaluation of the artificial neural network based on the estimation of daily average global solar radiation in the city of Surabaya Adi Kurniawan; Anisa Harumwidiah
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1245-1250

Abstract

The estimation of the daily average global solar radiation is important since it increases the cost efficiency of solar power plant, especially in developing countries. Therefore, this study aims at developing a multi layer perceptron artificial neural network (ANN) to estimate the solar radiation in the city of Surabaya. To guide the study, seven (7) available meteorological parameters and the number of the month was applied as the input of network. The ANN was trained using five-years data of 2011-2015. Furthermore, the model was validated by calculating the mean average percentage error (MAPE) of the estimation for the years of 2016-2019. The results confirm that the aforementioned model is feasible to generate the estimation of daily average global solar radiation in Surabaya, indicated by MAPE of less than 15% for all testing years.
Penggunaan Algoritma Color-Based Filtering Sebagai Pendeteksi Nominal Pada Uang Kertas Anisa Harumwidiah; Totok Dewantoro; Lince Markis; Dedi Wahyu Ashari
Jurnal JEETech Vol. 2 No. 1 (2021): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v2i1.149

Abstract

As a legal tender, banknotes have several drawbacks in terms of their use. for people with visual impairments they have, it is very likely that they will be confused, misplaced, and even some ignorant people take advantage of their weaknesses in using the money. Based on this problem, in this paper we propose to make a banknote detector with sound output. The method used for the nominal identification process is the color based filtering algorithm using the Pixy2 CMUcam5 camera and Arduino as the data processor. Tests were carried out on 1000, 2000, 5000, 10000, 20000 and 50000 banknotes. From the test results, it was found that the success rate was 90% with the optimal distance for the camera scan process being 7 to 10 cm in an average time of about 5.7 seconds.
Co-Authors Adi Kurniawan Dedi Wahyu Ashari Lince Markis Totok Dewantoro