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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Perfecting a Video Game with Game Metrics Jurnal Ilmiah KOMPUTASI Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer APTIKOM Journal on Computer Science and Information Technologies (CSIT) IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Eri Prasetyo Wibowo, Eri Prasetyo
Universitas Gunadarma
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Materials Science & Nanotechnology

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ANALISIS RANGKAIAN VISIBLE LIGHT COMMUNICATION UNTUK APLIKASI SISTEM KOMUNIKASI Erfiana Wahyuningsih; Eri Prasetyo Wibowo
Jurnal Ilmiah KOMPUTASI Vol 18, No 3 (2019): September
Publisher : STMIK JAKARTA STI&K

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Abstract

Visible Light Communication (VLC) menggunakan White Light Emitting Diode (LED) adalah teknologi untuk komunikasi jarak pendek dengan transmisi data nirkabel berkecepatan tinggi. Sistem VLC atau Visible Light Communication  merupakan suatu sistem yang dapat melakukan proses pertukaran data melalui LED atau cahaya dan pendeteksinya atau detector salah satu diantaranya photodiode. Sistem ini menggunakan proses pentransmisian melalui media udara dengan propagasi Line of Sight (LOS).
PERBANDINGAN METODE EIGENFACE, FISHERFACE, DAN LBPH PADA SISTEM PENGENALAN WAJAH Qadrisa Mutiara Detila; Eri Prasetyo Wibowo
Jurnal Ilmiah KOMPUTASI Vol 18, No 4 (2019): Desember
Publisher : STMIK JAKARTA STI&K

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Abstract

Sistem pengenalan wajah manusia merupakan sebuah sistem yang tidak mudah karena manusia memiliki ekspresi wajah, penampilan, dan pose yang bervariasi. Selain itu, kondisi cahaya, jarak, dan kualitas kamera merupakan tantangan untuk merancang sistem pengenalan wajah secara real-time dengan tingkat akurasi yang tinggi. Terdapat berbagai jenis metode pengenalan wajah, diantaranya adalah Eigenface, Fisherface, dan Local Binary Patterns Histograms (LBPH). Penelitian ini dilakukan untuk membandingan metode pengenalan wajah antara Eigenface, Fisherface, dan LBPH dalam perubahan tingkat kecerahan, ekspresi wajah, dan tingkat akurasi pengenalan wajah. Berdasarkan hasil analisis dan pembahasan mengenai perbandingan ketiga metode pengenalan wajah tersebut, dapat ditarik kesimpulan bahwa metode LBPH merupakan metode yang paling akurat dan efisien dibandingkan dengan metode Eigenface dan Fisherface.
THE EFFECT OF ELECTRONIC SERVICE QUALITY, PRODUCT, PRICE, PROMOTION ON CUSTOMER SATISFACTION (CASE STUDY ON CUSTOMER ONLINE STORES LAZADA.CO.ID JAKARTA) Nawangsari, Sri; Clara, Dhea Ajeng; Wibowo, Eri Prasetyo
APTIKOM Journal on Computer Science and Information Technologies Vol 5 No 1 March (2020): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/csit.v5i1 March.115

Abstract

Satisfaction This research aims to know the effect of electronic service quality, product, price, promotion on customer satisfaction in the Lazada.co.id online store customers in Jakarta. Electronic service quality, product, price, promotion is a things into consideration and provide value to customers in choosing an online store as a destination shopping. In this study the author uses an online questionnaire method against 235 respondents or Lazada.co.id customers. Then conducted an analysis of the data obtained in the form of a descriptive analysis, quantitative analysis include the assay validity, reliability test, test of goodness of fit, and the analysis of the model of measurement SEM (Structurak Equation Modelling) using Software AMOS 22.0. From a study of 235 respondents, results of the study indicate significant influence between the influence of the interactions in five variables, namely (1) Electronic Service Quality affects Satisfaction, (2) Product affect Satisfaction, (3) Price affect Satisfaction, (4) Promotion affect Satisfaction
ELIMINASI HARMONISA DENGAN TAPIS AKTIF PARALEL BERBASIS TEORI DAYA SESAAT PQ PADA JARINGAN SISTEM DAYA FASA TUNGGAL - Setiyono; Eri Prasetyo Wibowo; Boesono Soerowirdjo
Jurnal Ilmiah KOMPUTASI Vol 19, No 2 (2020): Juni
Publisher : STMIK JAKARTA STI&K

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Abstract

Paper ini menyajikan cara   untuk mereduksi sinyal sinyal gangguan system jala jala yang disebabkan oleh keberadaan harmonisa pada  jaringan listrik fasa tunggal .  Salah satu metode yang  popular adalah ekstraksi     harmonisa menggunakan  teori daya sesaat pq. Algoritma dari teori ini  diimplementasikan dalam menghilangkan komponen harmonisa melalui sebuah rangkaian tapis aktif yang disusun secara parallel dengan beban nonlinier . Arus kompensasi dinjeksikan ke jaringan jala jala yang dihasilkan oleh tapis aktif berguna  meningkatkan kualitas daya . Tapis aktif ini dibangun dengan  susunan inverter sepasang  saklar IGBT ataupun MOSFET dan dipasang sebuah kapasitor pada sisi DC. Hasil pengujian simulsai pada  dua buah jenis beban, yakni, resitif induktif dan   resitip kapasitif, ditandai dengan bentuk gelombang pada saluran sumber hampir mendekati sinusoidal.  Total Harmonic Distortion (THD) yang di peroleh berkurang hingga 2,70%.
Comparison of Three Segmentation Methods for Breast Ultrasound Images based on Level Set and Morphological Operations Dewi Putrie Lestari; Sarifuddin Madenda; Ernastuti Ernastuti; Eri Prasetyo Wibowo
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.617 KB) | DOI: 10.11591/ijece.v7i1.pp383-391

Abstract

Breast cancer is one of the major causes of death among women all over the world. The most frequently used diagnosis tool to detect breast cancer is ultrasound. However, to segment the breast ultrasound images is a difficult thing. Some studies show that the active contour models have been proved to be the most successful methods for medical image segmentation. The level set method is a class of curve evolution methods based on the geometric active contour model. Morphological operation describes a range of image processing technique that deal with the shape of features in an image. Morphological operations are applied to remove imperfections that introduced during segmentation. In this paper, we have evaluated three level set methods that combined with morphological operations to segment the breast lesions. The level set methods that used in our research are the Chan Vese (C-V) model, the Selective Binary and Gaussian Filtering Regularized Level Set (SBGFRLS) model and the Distance Regularized Level Set Evolution (DRLSE) model. Furthermore, to evaluate the method, we compared the segmented breast lesion that obtained by each method with the lesion that obtained manually by radiologists. The evaluation is done by four metrics: Dice Similarity Coefficient (DSC), True-Positive Ratio (TPR), True-Negative Ratio (TNR), and Accuracy (ACC). Our experimental results with 30 breast ultrasound images showed that the C-V model that combined with morphological operations have better performance than the other two methods according to mean value of DSC metrics.
Measurement Straight Leg Raise for Low Back Pain Based Grayscale Depth Tavipia Rumambi; Hustinawaty Hustinawaty; Sarifuddin Madenda; Eri Prasetyo Wibowo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.4291

Abstract

Spinal disorders are the most frequent cause of pain and lower part of the spine, which is often called Low Back Pain.Straight Leg Raise Test  can provide important information to detect the cause of LBP. Straight Leg Raise test conducted by physican with a goniometer required accurately reading angle when your feet up. But this can be overcome with Kinect can detect motion and displays images and depth data. Methodological includes image acquisition method using RGB and Grayscale depth, skeleton tracking, feature extraction detection Straight Leg Raise . The proposed algorithm describes a method for estimating the data triangulation angle Straight Leg Raise by Kinect. Results measurement if   the positive Low Back Pain below 60 degrees there is a tendency to suffer from one of the causes of Low Back Pain. The results can be stored in the database as medical history and used to monitor the progress of therapy
Image Processing of Panoramic Dental X-Ray for Identifying Proximal Caries Jufriadif Na'am; Johan Harlan; Sarifuddin Madenda; Eri Prasetyo Wibowo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.6856

Abstract

This study aims to facilitate the identification of proximal caries in the Panoramic Dental X-Ray  image. Twenty-seven X-Ray images of proximal caries were elaborated. The images in digital form were processed using Matlab and Multiple Morphological Gradient. The process produced sharper images and clarifies the edges of the objects in the images. This makes the characteristics of the proximal caries and the caries severity can be identified precisely.
Analisis Korelasi Kualitas Web Terhadap Kepuasaan Mahasiswa pada Salah Satu Perguruan Tinggi Swasta di Kopertis Wilayah Tiga Sri Nawangsari; Toto Sugiarato; Diah Natalisa; Dina Amalia; Eri Prasetyo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2013
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Perguruan tinggi swasta adalah salah satu perguruan tinggi alternatif untuk menghadapi peningkatan permintaan masyarakat terhadap kebutuhan pendidikan dewasa ini. Perguruan tinggi harus berusaha untuk mempertahankan dan meningkatkan kinerja agar dapat menjamin kelangsungan aktivitasnya. Sebuah pelayanan dinilai memuaskan bila pelayanan tersebut dapat memenuhi kebutuhan dan harapan mahasiswa. Pengukuran kepuasan mahasiswa merupakan elemen penting dalam menyediakan pelayanan yang lebih baik, lebih efisien dan lebih efektif. Kepuasan mahasiswa merupakan prasyarat dalam menjaga loyalitas mahasiswa. Kemunculan Popularitas teknologi Web dan aplikasinya telah membuat peluang yang luas untuk organisasi, termasuk lembaga pendidikan tinggi, untuk melebarkan pelanggan lebih luas dan membuat hubungan jaringan yang lebih lebar. Penelitian ini dilakukan melalui survei, yaitu penelitian yang mengambil sampel secara langsung dari populasi, dengan menggunakan kuesioner sebagai alat pengumpul data. Penelitian dilakukan disalah satu perguruan tinggi swasta di kopertis wilayah III, yang masuk 100 besar peringkat webometric nasional. Usia responden dikelompokkan menjadi enam bagian. Berdasarkan pengelompokan tersebut, mahasiswa pada usia 18 dan 19 tahun mendominasi pada penelitian ini. didapat hasil sebesar 22% dan 25%. Kelompok responden yang berada pada posisi tengah adalah mahaiswa yang berusia 20, 21 dan 22 tahun yang besaranya adalah 18%, 13% dan 14%. Sedangkan kelompok usia responden yang paling sedikit dalam penelitian ini adalah kelompok usia 23 tahun yaitu sebesar 8%. Pemodelan dilakukan dengan alat bantu program SEM (Structural Equation Model). Hasil analisis pada pengujian hipotesis, menunjukkan bahwa mahasiswa Universitas X merasa puas dan menjadi loyal dengan kualitas website yang terdapat pada kampus mereka.Kata kunci—Kepuasan; loyalitas; kopertis; webometric; website
Classification of Leaves Based on the Shape of Leaves Using Convolutional Neural Network Methods Rizka Zulfani Syahrir; Eri Prasetyo Wibowo
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : International Institute of Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.491

Abstract

One part of the tree, namely the leaves, which grow on the branches, has several types of leaves consisting of 4 shapes, ranging from circular shapes, elongated shapes, and some even have a finger shape. Often we mistake the shapes of these leaves. This study discusses the classification of leaves based the shape of the leaf bones using the Convolutional Neural Network, which is used to classify data that has been labeled using one of the methods, namely supervised learning. The purpose of this method is to classify a variable into the variables that have been listed. The goal is to classify leaves based on leaf shape to implement a Convolutional Neural Network algorithm model for leaf classification based on bone shape, which will produce an accuracy value. Accuracy values are obtained from conducting experiments at the training and trial stages. So it can be concluded using the epochs parameter of 30 and a batch size of 128, using ReLU and Softmax activations. The results obtained for the accuracy value for training are 98.52%, while the validation is 89.06%.
Pelican Crossing System for Control a Green Man Light with Predicted Age Purnawarman Musa; Eri Prasetyo Wibowo; Saiful Bahri Musa; Iqbal Baihaqi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1278.846 KB) | DOI: 10.30812/matrik.v21i2.1508

Abstract

Traffic lights are generally used to regulate the control flow of traffic at an intersection from all directions, including a pelican crossing system with traffic signals for pedestrians. There are two facilities for walker crossing, namely using a pedestrian bridge and a zebra cross. In general, the traffic signals of the pelican crossing system are a fixed time, whereas other pedestrians need "green man" traffic lights with duration time arrangement. Our research proposes a prototype intelligent pelican crossing system for somebody who crosses the road at zebra crossings, but the risk of falling while crossing is not expected, especially in the elderly age group or pedestrians who are pregnant or carrying children. On the other hand, the problem is that the average step length or stride length (distance in centimeter), cadence or walking rate (in steps per minute), and the possibility of accidents are very high for pedestrians to make sure do crossing during the lights “green man”. The new idea of our research aims to set the adaptive time arrangement on the pelican crossing intelligent system of the traffic lights “green man” based on the age of the pedestrians with artificial intelligence using two combined methods of the FaceNet and AgeNet. The resulting measure can predict the age of pedestrians of the training dataset of 66.67% and testing prototype in real-time with participants on the pelican crossing system of 73% (single face) and 76% (multi faces).
Co-Authors Antonius Irianto Sukowati Boesono Soerowirdjo Busono Soerowirdjo Clara, Dhea Ajeng Dewi Putrie Lestari Diah Natalisa Dina Amalia Dyah Nur'ainingsih Erfiana Wahyuningsih Ernastuti Ernastuti Hustinawaty Hustinawaty, Hustinawaty Ikbal Rullah Iqbal Baihaqi Jecika Mailoa Johan Harlan Jufriadif Na`am, Jufriadif Musa, Purnawarman Qadrisa Mutiara Detila Risdiandri Iskandar Rizka Zulfani Syahrir Robby Kurniawan Harahap Saiful Bahri Musa Sarifuddin Madenda Setiyono Sri Nawangsari Tavipia Rumambi Toto Sugiarato Widyastuti Widyastuti