Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Emittance Quality of Terrestrial Digital Multimedia Broadcasting (TDMB) Sri Arttini Dwi Prasetyowati; Gunawan .; Aries Budiyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1091.294 KB) | DOI: 10.11591/eecsi.v1.387

Abstract

Television terrestrial broadcasting technology, even fix or mobile have a rapid development along with the development of digital technology. Many countries decided to move from analog TV broadcasting to digital TV broadcasting. Sultan Agung Islamic University (UNISSULA), one of the private university in Central Java had begun to develop the Terrestrial Digital Multimedia Broadcasting (TDMB), as a research to support the migration from analog TV broadcasting to digital TV broadcasting. Because of that goal, must be observed the range of the scope by testing the TDMB Transmitter in UNISSULA. The tool of the test is drive test measurements by Purposive Random Sampling on the three research area, there are, the main road in Semarang, eastern part of the transmitter, Southern part of the transmitter. The Measurement is limited to strength and quality signal.
IAES International Conference on Electrical Engineering, Computer Science and Informatics Munawar A Riyadi; Sri Arttini Dwi Prasetyowati; Tole Sutikno; Deris Stiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.65 KB) | DOI: 10.11591/eecsi.v3.1106

Abstract

The 3rd International Conference of Electrical Engineering, Computer Science and Informatics (EECSI) 2016 was held in Semarang, Indonesia from 23th to 25thNovember, 2016. The conference was organized by Universitas Islam Sultan Agung as the host in collaboration with Universitas Diponegoro, Universitas Ahmad Dahlan and Universitas Sriwijaya, and with full technical support from IAES Indonesia Section. Authors and participants from 10 countries made the conference truly international in scope. Participants have delivered their talks of valuable research outputs that vary from many fields of electrical engineering (power electronics, telecommunication, electronics engineering, control system and signal processing) to the field of computer science and informatics. These wide range of topics have colorized this conference.This volume of IOP Conference Series: Materials Science and Engineering contains selected articles from those presented in the conference. After presentation, the revised papers were peer reviewed by fellow reviewers to ensure the quality of published materials. Finally, Editors decided to select and publish as many as 49 papers. It is hoped that the presented papers can offer more insight towards broad audience.On behalf of Editors, we appreciate enormous work of all staffs and reviewers in the preparation of this volume. We would like to express our sincere thanks to all authors and presenters for their valuable contributions. We hope to see you again in the next event of EECSI 2017 which will be held in Yogyakarta, Indonesia, next year.
Utilization of Digital Image Processing in Process of Quality Control of The Primary Packaging of Drug Using Color Normalization Method Danang Erwanto; Sri Arttini Dwi Prasetyowati; Eka Nuryanto Budi Susila
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.042 KB) | DOI: 10.11591/eecsi.v3.1118

Abstract

In the process of quality control, accuracy is required so that the improper drug packaging is not included into the next production process. The automatic inspection system using digital image processing can be applied to replace the manual inspection system done by humans. The image captured from the vision sensor is RGB image which is then converted into grayscale. The process of converting RGB image into grayscale image is performed using the color normalization method to spread the data of RGB colors at each pixel. From the software of image processing using the color normalization method that have been created, it shows grayscale images on the drug object which have degrees of gray higher than the grayscale image section of the background when the degree of the R, G or B color of drug is higher than the degree of the R, G, B color on the background of packaging. The determination of threshold value indicates that the binary image of the drug is white and a binary image of the background of drug packaging is black.
Investigation of Diesel’s Residual Noise on Predictive Vehicles Noise Cancelling using LMS Adaptive Algorithm Sri Arttini Dwi Prasetyowati; Adhi Susanto; Ida Widihastuti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (910.841 KB) | DOI: 10.11591/eecsi.v3.1125

Abstract

Every noise problems require different solution. In this research, the noise that must be cancelled comes from roadway. Least Mean Square (LMS) adaptive is one of the algorithm that can be used to cancel that noise. Residual noise always appears and could not be erased completely. This research aims to know the characteristic of residual noise from vehicle’s noise and analysis so that it is no longer appearing as a problem. LMS algorithm was used to predict the vehicle’s noise and minimize the error. The distribution of the residual noise could be observed to determine the specificity of the residual noise. The statistic of the residual noise close to normal distribution with = 0,0435, = 1,13 and the autocorrelation of the residual noise forming impulse. As a conclusion the residual noise is insignificant.