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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Computatio : Journal of Computer Science and Information Systems

Dyah Erny Herwindiati

Unknown Affiliation

Author-ID : 3257215

Computer Science & IT Mathematics Other

Published : 42 Documents Claim Missing Document

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Klasifikasi Profesi Berdasarkan Hobi Dengan Metode Minimum Spanning Tree Leonardo Josua; Dyah Erny Herwindiati; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Application to classify the hobbies of final year students in determining their profession with the Minimum Spanning Tree is a method for classification. Tests carried out are to collect weighted data on hobbies obtained from users and later will be grouped based on the specified assessment table. There are 2 programming languages used to create this application, namely PHP and Python. PHP for user interface and python for calculations. Based on the tests carried out, it can be seen that the results of clustering testing of 21 sample data values for hobbies given by users who will be in the 7th cluster of intellectual intelligence can be concluded that the results of the cluster distance value are determined by referring to the 14 iterations carried out. After calculating the distance from each centroid, the cluster determination is carried out using the Minimum Spanning Tree which is represented by a graph, where the data points or vertices are taken from the minimum cluster distance in each iteration. Determination of clusters with the Minimum Spanning Tree is represented by a graph.

PENGELOMOKKAN DATA MENGGUNAKAN JACKKNIFE RESAMPLING DENGAN UKURAN PUSAT MEAN, MEDIAN DAN KUARTIL Stephen Christian; Tony Tony; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 2 (2015): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v3i2.3327

Applications grouping data with a simple measuring devices using Jackknife method is an application used to classify an arbitrary multivariate data and image data using the Jackknife method to measure the value of the center of the mean, median and first quartile. Based on the results of tests performed, the application is successful menyedikan every size value calculation results center mean, median and first quartile in graphical form. Kata Kunci: Jackknife, Kuartil pertama, Mean, Median, Pengelompokkan Data

ALGORITMA GENETIKA DENGAN ROULETTE WHEEL SELECTION DAN ARITHMETIC CROSSOVER UNTUK PENGELOMPOKAN Jessen Yaputra Setiawan; Dyah Erny Herwindiati; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Genetic algorithms are techniques that can be used to clustering data that has global search characters. This application is made using roulette wheel selection techniques and arithmetic crossover techniques. The purpose of this research is to implement a genetic algorithm that produces good results in clustering image data. The result is clustering flower images with different colors has good results, while clustering flower images with similar colors do not have good results. Several experiments were carried out on each scenario to determine the effect of the parameters used on the fitness value obtained, the result was a clustering with parameter color characteristics, the parameter with the largest fitness value are the number of population = 100, iterations = 200, and mutations = 0.02. while clustering with color plus texture characteristic, the parameter with the largest fitness value are the number population=200, iterations=300, and mutations=0.02.

PENCARIAN OBJEK WISATA BERSEJARAH DI PULAU JAWA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Nadia Ramadhani; Janson Hendryli; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

In order to make a image-based search for historical sites in Java, Convolutional Neural Network is used. Not only to make a website which can search historycal sites in Java using image, it also compared two CNN structure. There are two architechture which is used in this paper which is Residual Network and Inception. There are some experiments that were done to establish the best architecture among the two for this aplication. Those experiments showed that inception gave a better result for the application

KINERJA METODE MAHALANOBIS DISTANCE YANG DIBENTUK DARI DUA UKURAN PUSAT DAN DUA DISPERSI MULTIVARIAT (UNTUK UKURAN SIMILARITAS KLASIFIKASI IMAGE) Tania Kantacarini; Dyah Erny Herwindiati; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Distance is a space that connects two points or two locations which can be calculated by length and time. Distance is used to measure the similarity of two objects (for example, an image object). An image can be considered to be similar to another image if the similarity size value is small. On the contrary, if the value of the similarity distance between the training object and the object being tested is large, the object can be said to be different or not. In this design, the image classification of Lakes, Forests and Settlements will be carried out by taking the Color feature using the Color Moment extraction method and the Texture feature using the GLCM (Gray Level Co-occurrence Matrix) extraction method and taking the method of calculating the distance between one data and another data that has High similiarity using the Mahalanobis Distance calculation method with two center sizes namely Mean and Median and three multivariate dispersions, namely the covariance matrix formed by the mean center value, the covariance matrix formed by the value of Median, and the covariance matrix formed by the value of Grand Median. From the research conducted, the performance results that can be considered for use are the Mahalanobis Distance with a median center size with a covariance matrix formed by the Median center value with an accuracy of 69.855% and a covariant matrix formed by the Grand Median center value with an accuracy of 69.565%. In this case the percentage is taken from testing images based on color characteristics using the Color Moment extraction method.

APLIKASI MOBILE BERBASIS CBIR UNTUK PENCARIAN PRODUK PONSEL PADA ONLINESHOP Nickolas Cornelius Siantar; Janson Hendryli; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Phone or smartphone and online shop, there is something that cannot be separated with human. There are so many type of smartphones show up in the market that people are confused on which one to get on the online stores. Smartphones recognition is done by using the Histogram of Oriented Gradient to recognize shapes of phones, Color Quantization to recognize the color, and Local Binary Pattern to recognize texture of the phones. The output of the Feature Extractor is a feature vector which is used on the LVQ to process recognize through finding the smallest Euclidean Distance between the trained vectors. The result of this paper is an application that can recognize 16 phone types using the image with the accuracy of 9.6%

PENINGKATAN RESOLUSI CITRA DENGAN MENGGUNAKAN TRANSFORMASI WAVELET Wenda Kartika; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (2015): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v3i1.3291

In this paper, we propose a satellite image resolution enhancement technique based on wavelet transform by by combining the panchromatic image (PAN) with multispectral image (MS). To make the range of the coefficients consistent with the range of the PAN approximation coefficients under the same resolution, bilinear transform of the MS approximate image coefficient is computed before the merging. To improve image resolution used Wavelet Transform. Wavelet transform used is the Haar wavelet, Daubechies 2, Daubechies 3, Daubechies 4, Symlets 2, Symlets 3, Symlets 4, Symlets 6, Coiflets 1, and Coiflets 2. For analyzing the performance of the image resolution enhancement, we use performance evaluation. In the test results obtained that the most appropriate method for improving image resolution is Daubechies 2 to experiment without the use of resampling and Symlet 6 to experiment with the use of resampling. Key wordsBilinear Transform, Remote Sensing, Performance Evaluation, Wavelet Transform.

MARKETPLACE CHINESE FOOD DENGAN SISTEM REKOMENDASI MENGGUNAKAN ITEM-BASED COLLABORATIVE FILTERING Yanto Yanto; Dyah Erny Herwindiati; Manatap Dolok Lauro
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Chinese food (typical Chinese cuisine) which is one of the most popular foods in the world. Almost all over the earth, there are always residing Chinese restaurants. Along with the development of culinary in Indonesia, Chinese food restaurant owners began to carry out certain specifications on the menus on offer. As customers will definitely be confused in the choice of food, when the Restaurants have more than one menu. Therefore we need a Marketplace with a recommendation system with the Item-based Collaborative Filtering method. Marketplace is an inter-organizational information system where buyers and sellers in the market communicate information about prices, products and are able to complete transactions via electronic communication channels. There are several stages in using this method, based on first assessing the data, then entering the calculation phase of the similarity between items and then calculating the prediction of item ratings for users.

SISTEM REKOMENDASI DRAMA KOREA MENGGUNAKAN METODE USER-BASED COLLABORATIVE FILTERING William Kristianto; Dyah Erny Herwindiati; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Korean drama is one of the entertainment that is very popular with the public, be it among children, teenager, adults and parents. There is a huge selection of dramas to watch, however, viewers have limited time. Therefore, a recommendation system is used to provide input to viewers in choosing Korean drama series that suits their respective profiles. This recommendation system is made using the User-Based Collaborative Filtering method, where the input of this method is in the form of rating data provided by the user for a list of available Korean dramas. Based on the results of interviews via video calls and questionnaires, this Korean drama application can provide different recommendation results based on user ratings of Korean dramas.

KLASIFIKASI EMPLOYABILITY MAHASISWA PENERIMA BEASISWA DI UNIVERSITAS TARUMANAGARA DENGAN GRAPH THEORY (MINIMUM SPANNING TREE) Edwin Leonardo; Tri Sutrisno; Dyah Erny Herwindiati
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

The application for classifying the employability of scholarship recipients with Graph Theory is a method for the classification of student employability. This method was made for Tarumanagara University which is used to replace the Tarumanagara University method which is still manual. There are 2 programming languages used to create this application, namely Visual Studio and Python. Visual Studio for the user interface and python for calculations. Testing is carried out by User Acceptance Testing (UAT) and amount testing. UAT test to check buttons and features and calculate testing to check whether the results of the manual method are the same as the K-Nearest Neighbor (K-NN) method before making it in a graph. From the two tests carried out it can be seen that the results of the mixed test data testing with an average accuracy of 92.5%, whereas for all scholarship test data with an average accuracy of 97.5%

Co-Authors Aditya Halimawan Arifin Arifin Arifin Arifin Arnold Pramudita Tjiawi Arya Triansyah Bryan Albert Caesar Calendo Sumarga Christian Christian Cynthia Cynthia David David Edwin Leonardo Hongi Nagaputra I Dewa Ketut Satria Wahyu Perdana Ivan Wijaya Janson Hendryli Janson Hendyli Jaqnson Hendryli Jasmine Kezia Halim Jessen Yaputra Setiawan Kevin kevin Kristopher Halim Lely Hiryanto Leonardo Josua Lubby Gennady Manatap Dolok Lauro Sitorus Manatap Dolok Lauro, Manatap Dolok Mitchell Ryu Sopany Nadia Ramadhani Nickolas Cornelius Siantar Novario Jaya Perdana philip bryan halim Rizki Nofrian Wahyudi Stella Ester Rantung Stephen Adhikurnia Stephen Christian Tania Kantacarini Teny Handhayani Tony Tony TRI SUTRISNO Veri Wenda Kartika William Kristianto Willyanto Wijaya Yanto Yanto Yonico Ariando Pratama

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