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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA ELEKTRIKA Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Ilmiah Setrum JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Electrical Technology UMY RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Rekayasa elektrika

Sri Arttini Dwi Prasetyawati

Universitas Islam Sulta Agung

Author-ID : 234130

Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Social Sciences

Published : 35 Documents Claim Missing Document

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Simulasi Sistem Penghapus Bising Kendaraan Dengan Least Mean Square Adaptif Menggunakan Program Matlab Dianta, indra Ava; Prasetyowati, Sri Arttini Dwi; Budi Susila, Eka Nuryanto
ELKOM : JURNAL ELEKTRONIKA DAN KOMPUTER Vol 10, No 1 (2017)
Publisher : Sekolah Tinggi Elektronika dan Komputer (STEKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1732.203 KB)

Pada masa sekarang ini banyak pengembangan dan penelitian yang dilakukan bertujuan agar semakin banyak aplikasi yang dapat dimanfaatkan lebih jauh terutama dalam perkembangan dibidang teknologi. Penggunaan peredam kadang kurang cocok untuk kondisi ruang yang relatif kecil, selain itu penggunaan peredam juga membutuhkan biaya yang tinggi. Keadaan ini menjadikan hambatan dalam pemakaian alat peredam bising.Bising merupakan permasalahan yang sering muncul dalam sistem komunikasi karena dapat mengakibatkan kesalahan dalam penyampaian informasi dari sumber informasi ke penerima informasi sehingga informasi yang diterima tidak sesuai dengan informasi yang dikirim bahkan dapat juga menghilangkan informasi yang dibawa.Untuk menghilangkan bising yang ditimbulkan tersebut dapat diselesaikan dengan menggunakan Algoritma Least Mean Square( LMS ). Algoritma Least Mean Square (LMS) merupakan algoritma yang paling sederhana diantara algoritma-algoritma dalam sistem adaptif. nilai optimal yang dapat diambil dalam simulink penghapus bising kendaraan jenis motor adalah ukuran langkah ( ? ) = 0,07 dan panjang filter ( L ) = 32 Kata Kunci : LMS Adaptif , Penghapus Bising, Simulasi sistem, Program Matlab

Desain dan Implementasi Akuisisi Data Suhu Murid Sekolah Berbasis Arduino Untuk Monitoring Kesehatan Komunal Ismail, Munaf; Prasetyowati, Arttini Dwi; Hapsari, Jenny Putri
JURNAL NASIONAL TEKNIK ELEKTRO Vol 8, No 2: July 2019
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v8n2.640.2019

Abstrakâ€”Jumlah kasus demam berdarah dengue sebanyak 1.204 kasus terjadi di provinsi Jawa Tengah pada periode Januari 2019. Salah satu sekolah dasar di kecamatan Genuk kota Semarang terjadi endemi, dimana 2 siswa meninggal dan 5 siswa lainnya dirawat di rumah sakit karena difteri pada tahun 2018. Kesadaran untuk menjaga kesehatan dan memeriksa kesehatan secara teratur di rumah atau sekolah penting untuk menghindari generasi penerus bangsa dari penyakit berbahaya. Penelitian ini merancang dan mengimplementasikan sensor suhu tubuh yang terintegrasi dengan sensor sidik jari basis Arduino serial komputer. Akuisisi data suhu tubuh siswa sangat penting pada anak-anak yang tidak dapat memahami demam tubuh mereka. Inovasi sensor suhu MLX90614 dikombinasikan dengan sensor sidik jari berbasis Arduinoserial komputer. Aplikasi ini berfungsi sebagai perekam suhu tubuh siswa dan kehadiran siswa untuk disimpan di komputer. Hasil pengukuran menunjukkan hasil yang baik karena kesalahan rata-rata di bawah 5%, kesalahan terbesar adalah 3,41% dan terendah adalah 2,01%. Hasil pengukuran juga menunjukkan nilai presisi tertinggi 95,88% dan akurasi tertinggi 99,24%. Database suhu siswa akan berfungsi sebagai deteksi dini demam siswa serta pemeriksaan kesehatan berkala sebagai upaya bersama untuk menjaga kesehatan anak-anak sekolah dan memberikan informasi yang akurat ketika siswa sakit dan dibawa ke dokter.

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

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 Riyadi, Munawar A; Dwi Prasetyowati, Sri Arttini; Sutikno, Tole; Stiawan, Deris
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

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 byÂ 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 ofÂ 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 Erwanto, Danang; Prasetyowati, Sri Arttini Dwi; Susila, Eka Nuryanto Budi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

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 Dieselâ€™s Residual Noise on Predictive Vehicles Noise Cancelling using LMS Adaptive Algorithm Dwi Prasetyowati, Sri Arttini; Susanto, Adhi; Widihastuti, Ida
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

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 vehicleâ€™s noise and analysis so that it is no longer appearing as a problem. LMS algorithm was used to predict the vehicleâ€™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.

Multiple Processes for Least Mean Square Adaptive Algorithm on Roadway Noise Cancelling Sri Arttini Dwi Prasetyowati; Adhi Susanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

Noise is a problem often found in daily life. Noise also make people could not concentrate to do their work. Efforts to reduce noise have been proposed, but, due to variety of the noise’s characteristics, every noise problem requires different solution. This research aim to cancel the vehicle’s noise while maintaining the information heard. These conditions happened in the hospitals classrooms, or work room near the roadway. The vehicle’s noise change very fast, so the adaptive system is the good solution candidate for solving this problem. On the beginning, the simulation process had the trouble with the iterations. Matlab software only can execute the certain range of iteration. It could not cancel the noise, even the information becomes criptic. The problem is how to cancell the vehicle’s noise with the restriction software and still manage the important information. This research will modify the LMS adaptive algorithm so that the iteration could be done by the system and the main goal of the research could be reached. The modification of the algorithm is based on the filter length (L) used to adapt with the noise. Therefore, this research conducted simulation of the Adaptive Noise Cancelling with two process steps. The output of the first adaptive process have the.same characteristics with the noise that would be cancelled, thus the first adaptive process have the error near to zero. The second adaptive process changes the input by the output of the first process and mix the information into the noise. Error occured in the final process is the information heard as the dominant output.

Artificial Neural Network for Healthy Chicken Meat Identification Fajar Yumono; Imam Much Ibnu Subroto; Sri Arttini Dwi Prasetyowati
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Indonesia is the country with the largest number of Muslims in the world. Every Muslim is taught to consume thoyyiban halal meat or healthy chicken because it is slaughtered in the right way and stored in a good way too. But the reality in the market of many chicken meat on the market can not meet that criteria. Identification of healthy chicken meat can be done with laboratory experiments, but that is not simple and takes time. This experiment offers a cheaper, faster approach, with very high accuracy. The experimental approach is based on color and texture analysis on 5 types of meat quality based on healthy value. Color analysis was performed using artificail neural network (ANN) while texture analysis used Canny edge detection. Experimental results show that the color histogram approach with ANN is better than the texture approach, ie 94% versus 66%. It can be concluded that the freshness of a chicken does not have much effect on the texture of the meat but it has an effect on the color change in the meat.

Cosine Similarity Measurement for Indonesian Publication Recommender System Darso D; Imam Much Ibnu Subroto; Prasetyowati Sri Arttini Dwi
Journal of Telematics and Informatics Vol 5, No 2: September 2017
Publisher : Universitas Islam Sultan Agung

So many publications are increasing every year and it causes an overflow of data and it makes the information function on the site cannot be delivered entirely to the visitors. As a scientific publication site, the IPI garuda portal (Index of Indonesian publications) has more than 4000 Indonesian journals in the database. Therefore it will be designed a system that can provide information and knowledge for the user. The system can also provide recommendations related articles and relevant for users. Recommendations are made by calculating similarities between related documents. The similarity calculation method used in this research was cosine similarity. The steps taken were pre-processed, weight calculation, vector length and then they were calculated using cosine similarity so that the value would be achieved that ranged from 0 to 1. Performance testing of recommendation system used precision and recall. Performance system with average precision value about 0.664 meant that the document had good system accuracy, and then the average recall point with value about 0.962 meant that documents were successfully returned by the system.

Forward and Inverse Kinematic on Wheeled Soccer Robot La Ode Muhamad Idris; Sri Arttini Dwi Prasetyowati; Imam Much Ibnu Subroto
Journal of Telematics and Informatics Vol 6, No 4: December 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i4.

In this research rotary encoder sensor and gyroscope sensor are used as main sensor for moving wheeled soccer robot. Rotary encoder is used to measure the speed and distance of each robot wheel and the gyroscope is used to measure the orientation of the robot, then both of them expressed in cartesian diagrams (x, y, θ). A rotary encoder type magnetic incremental encoder is used in this research and it mounted on each wheel. Inverse kinematic and forward kinematic are used to control the movement of the robot when positioning in the field or making decision when kicking the ball towards the opponent’s side and the other decision. From the test results, robot can move to any direction from the starting position to the end position with a different robot orientation and robot can measure the coordinates of the robot with average error of x = 5.37%, y = 5.2%, and Theta = 0.26%. The robot is also able to move in the direction of the coordinates given with a traveling time of 3-4 seconds.

Co-Authors ., Gunawan Abdul Basit Achmad Sulchan Adhi Susanto Adhi Susanto Agung Satrio Nugroho Agus Adhi Nugroho Agus Adhi Nugroho Akhmad Syakhroni Alfano Endra Wardhana Ari Wibowo Arief Marwanto Aries Budiyono Ary Sulistyo Utomo Badieah Assegaf Bahrun Niam Bhakti Yudho Suprapto Budiyono, Aries Bustanul Arifin Danang Erwanto Darso D Deris Stiawan Diah Arie WK Eka Nuryanto Budi Susila Erwanto, Danang Fajar Yumono Gunawan . Hapsari, Jenny Putri Ida Widihastuti Imam Much Ibnu Subroto Indra Ava Dianta Iqbal Sobri Bagasghani Ismail, Munaf Jenny Putri Hapsari La Ode Muhamad Idris Luh Putu Ratna Sundari Luqman Assaffat Muhamad Haddin Muhammad Khoirun Faza Muhammad Khosyi'in Muhammad Khosyi’in Munaf Ismail Munaf Ismail Munawar A Riyadi Pranoto Wibowo Rieska Ernawati Riyadi, Munawar A Suryani Alifah Tole Sutikno Widihastuti, Ida Zainuddin Nawawi

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