Indra Gunawan
Fakultas Teknik Universitas Hamzanwadi

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Pengenalan Citra Logo Kendaraan Menggunakan Metode Gray Level Co-Occurence Matrix (Glcm) dan Jst-Backpropagation Imam Fathurrahman; Indra Gunawan
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 1 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.825 KB) | DOI: 10.29408/jit.v1i1.894

Abstract

A car is a vehicle that has a varied shape or model but the difference is the brand or logo. Vehicle logos have their own meaning and meaning for car industry companies. The logo should have a practical and effective or efficient function so that the logo form is part of the marketing and branding program of the car industry company [1]. There are three types of car logos that are now known, in the form of symbols, text, or a combination between the two. The logo is always in the front and back of the car body and usually has a lighter color than the color of the vehicle. One that supports the development of technology is how to recognize a vehicle either from the brand, shape, model and color of the vehicle. Some references that are deemed feasible to help this research include utilizing the weaknesses and weaknesses of the results of previous research, including a paper entitled. Scale Invariant Feature Transform (SIFT) [2]. SIFT is combined with Logistic Regression [3] based on Gradient Orientation Histogram (HOG). Logo Recognition Using Probabilistic Neural Networks [4]. Therefore, the researchers wanted to focus on the logo recognition using the extraction of the Gray Level Co-occurrence Matrix (GLCM) feature. Testing and training testing using ANN-Backpropagation. From the results of this study the best accuracy obtained 95.7%, so that GLCM and ANN-Backpropagation can recognize the image of the vehicle logo.DOI : 10.29408/jit.v1i1.894
Prototipe Robot Pemantau Suhu Dalam Zona Kebakaran Gedung Menggunakan Telemetri Jaringan Nirkabel Indra Gunawan; Imam Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 1, No 2 (2018): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.02 KB) | DOI: 10.29408/jit.v1i2.904

Abstract

The building fire can be a serious problem that could Interfere economic stability. Firefighters often have problems in handling if they are in the building there is fog or smoke. Therefore, the presence of this monitoring system is expected to present the data in the form of temperature information in the fire zone to help them. This study starts from the collection of materials and equipment, hardware design stage in the form of a wheeled robot while the design of the software comprising a transmitter section is a microcontroller program and the interface program as a receiver. The research result mobile robot can move properly with the remote control within a distance of 20 m. Video on this robot can be displayed in realtime within a distance +15 m of the screen Because the raspberry pi 3 has a coverage area that is not so far away as well as a temperature sensor capable of measuring a very good accuracy in the range of 250C-500CDOI : 10.29408/jit.v1i2.904