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All Journal JURNAL NASIONAL TEKNIK ELEKTRO JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Ilmiah Sistem Informasi
Diah Arie Widhining Kusumastutie
Universitas Islam Kadiri
Computer Science & IT Electrical & Electronics Engineering

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Klasifikasi Jenis Kayu Menggunakan Esktrasi Fitur Gray Level Co-Occurence Matrix dan Multilayer Perceptron Deni Wahyu Wibowo; Danang Erwanto; Diah Arie Widhining Kusumastutie
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 1: March 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.416 KB) | DOI: 10.25077/jnte.v10n1.788.2021

Abstract

The type of wood is generally characterized by color, pattern and fiber because wood physically has almost the same characteristics. To determine the type of wood, experience and knowledge about wood are needed. This study applies digital image processing technology using the GLCM (gray level co-occurrence matrix) feature extraction method to produce feature extraction values on wood texture. The parameter values generated in the GLCM feature extraction are correlation, contrast, energy and homogeneity. The results from feature extraction are then used as a data classification of types of wood using MLP (multilayer perceptron) method. There are 4 wood types going to be involved in this research as datasets i.e., teak, sengon, mahogany, and mindi. The results of this study, obtained the best level of accuracy in validation data of 88.75%. The output of this research is softmax data using MLP method with an error value in the training neared target of data by 0.029421 with the epoch 1.000 iterations. Keywords : Digital Image Processing, Feature Extraction, GLCM and MLPAbstrakJenis kayu umumnya dicirikan dari warna, corak dan serat karena kayu secara fisik memiliki ciri yang hampir sama. Untuk menentukan jenis kayu, diperlukan pengalaman dan pengetahuan tentang kayu. Penelitian ini menerapkan teknologi pengolahan citra digital menggunakan metode ekstraksi fitur GLCM (gray level co-occourrence matrix) untuk menghasilkan nilai ekstraksi fitur pada tesktur kayu. Parameter nilai dihasilkan pada ekstraksi fitur GLCM adalah correlation, contrast, energy dan homogeneity. Hasil dari parameter GLCM kemudian digunakan sebagai data untuk klasifikasi jenis kayu menggunakan metode MLP (multilayer perceptron). Dalam penelitian ini digunakan 4 jenis kayu sebagai pengujian dan datasheet, yaitu kayu jati, sengon, mahoni dan mindi. Hasil dari penelitian ini, diperoleh tingkat akurasi terbaik pada data validasi sebesar 88,75 %. Keluaran dari penelitian ini berupa data softmax dengan menggunakan metode MLP dengan nilai error pada data training yang mendekati target sebesar 0.029421 dengan epoch 1.000 iterasi. Kata Kunci : Pengolahan Citra Digital, Ekstraksi Fitur, GLCM dan MLP
Design of Wheeled Football Robot Coordination System at Base Station Using TCP / IP Diah Arie Widhining Kusumastutie; Farrady Alif Fiolana
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 4 No 1 (2020): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v4i1.341

Abstract

Wheel Soccer Division, Indonesian Robot Contest is an annual competition held by the Ministry of Education. One team in this division consists of 3 robots connected in wireless communication coordinated by base station. Besides that, base station computer also connects the robots with referee computer or called Refbox (Referee Box). Refbox as server for base station computer and base station computer as server for robots. The problem arises in base station has to play double roles, as server and client. In testing had two the results of communication from the referee box to basestation and basestation to the client so the data from the referee box can be accepted by the client with a success rate of 93%.
Monitoring Kadar Oksigen Pasien COVID-19 Untuk Isolasi Mandiri Berbasis IoT Eka Azzah Rowani; Danang Erwanto; Diah Arie Widhining Kusumastutie
Jurnal Ilmiah Sistem Informasi Vol 1 No 3 (2022): November : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juisi.v1i3.379

Abstract

Corona virus or commonly known as COVID-19, where the virus can be transmitted by animals or by humans, with symptoms such as a high fever that can reach 37.7℃ or more, or low blood oxygen levels and handling cases of the covid- 19 virus has been pursued properly. With direct treatment by doctors, treatment in hospitals to self-isolation treatment and with the application of self-isolation for covid-19 patients, it is hoped that they can always see the condition of body temperature and oxygen levels in the blood. This study, the method of checking the number of heart beats of isoman patients and the amount of oxygen in the patient's body was developed by connecting the device to the IOT Telegram, which for the microcontroller used is Wemos D1minilite and with this development it is hoped that it can help the front group to overcome COVID-19 to always be able to help patients who are running isoman. The results of the testing of the tools made obtained a data success of 99.71% by comparing the results of the two tools, namely a tool made by researchers with an oximeter, and in these results obtained a data error value of 0.29% of the total data of 20 isoman patients. The data used were taken from COVID-19 patients who were self-isolating, and there were some patients whose test results were below the specified parameters.
Co-Authors Deni Wahyu Wibowo Eka Azzah Rowani Erwanto, Danang Farrady Alif Fiolana