Articles
<![CDATA[APLIKASI MOBILE BERBASIS CBIR UNTUK PENCARIAN PRODUK PONSEL PADA ONLINESHOP ]]>
<![CDATA[Nickolas Cornelius Siantar]]>;
<![CDATA[Janson Hendryli]]>;
<![CDATA[Dyah Erny Herwindiati]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 1 (2019): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v7i1.5925
<![CDATA[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%]]>
<![CDATA[PENGENALAN TULISAN TANGAN HANGUL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK ]]>
<![CDATA[Oktavianus Oktavianus]]>;
<![CDATA[Chairisni Lubis]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v9i1.11589
<![CDATA[The effect of the Korean Culture for the past few years has been increasing whereas the culture has been a part of the people’s daily lives especially for the youth. Unlike the Latin alphabet, the Hangul alphabet has the characteristics resembling strokes that’re written in blocks that make a syllable. Therefore, on this occasion a system will be made to recognize Hangul as an alternative for learning Hangul. The application design uses pre-processing such as grayscaling, thresholding, dilation and contouring. The data collected in this design uses as much as 3.960 images of the Hangul Alphabet. After GAN is used to generate images as well as Data Augmentation, the dataset reaches a total of 5.303 images which are separated into training set and testing set. The testing is done 2 times whereas the first test is tested on single letters and reached 55,58% accuracy. The second test is done with the letters that got segmented by the application which consists of 1-4 syllables whereas it reached 55,7-60% accuracy. ]]>
<![CDATA[SISTEM REKOMENDASI DRAMA KOREA MENGGUNAKAN METODE USER-BASED COLLABORATIVE FILTERING ]]>
<![CDATA[William Kristianto]]>;
<![CDATA[Dyah Erny Herwindiati]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v9i1.12668
<![CDATA[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.]]>
<![CDATA[PENGGUNAAN METODE COLLABORATIVE FILTERING BASED UNTUK REKOMENDASI KENDARAAN BERMOTOR ]]>
<![CDATA[Erwin Erwin]]>;
<![CDATA[Viny Christanti Mawardi]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v10i1.17796
<![CDATA[Motorized vehicles are one of the main needs of every human being and also the most common form of transportation used by people. To choose a motorized vehicle, people should not choosing it in a hurry because it takes good consideration to choose the right brand, type, and the need for the vehicle. In making their choice, usually people will read the reviews from vehicle review sites such as Carmudi.co.id, OTO.com, KobaYogas.com, and so on. The purpose of this thesis is to help provide web-based vehicle recommendations using the values of rating and criteria selected by the user. User rating values are calculated with collaborative filtering. In addition to the rating value, users can also get vehicle recommendations by providing specifications of the vehicle needs. Rating values from the program users will be processed by using adjusted cosine similarity to determine their similarity score to the rating values from vehicle review sites and other users so the vehicle recommendations can be obtained according to the similarity of the other user ratings. Based on the results of User Acceptance Testing (UAT) from 21 respondents, the testing got an average score of 83.95% so the program can be categorized as “Very Good”.]]>
<![CDATA[APLIKASI RESOURCE MANAGEMENT BERBASIS WEB DAN MOBILE PADA PT ASPIRASI LUHUR ]]>
<![CDATA[Stephanie Budianto]]>;
<![CDATA[Lely Hiryanto]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v6i1.2607
<![CDATA[Every company surely need a competent and full skill emloyees to develop and follow time progress in the field of Human Resources. The problems of employees recruitment in a company is an important thing. One way to fix the problem is apply a online recruitment system with curriculum vitae that had been prepared in web application. Because employees recruitment with manual system in a company are considered hard enough. The purpose from a new employees recruitment system is to collect suitor’s data who potensial into organization. Employees recruitment system do with recommendation system based on criterias which made according companies required and expected to provide a good recommendation. To follow up an employees recruitment, in this web application is also add some features to ease Human Resource Development , that is employees data management who had worked in the company.]]>
<![CDATA[SMART PRESENSI MENGGUNAKAN QR CODE DENGAN SECURE HASH ALGORITHM 2 (SHA-2) ]]>
<![CDATA[Ivan Wijaya]]>;
<![CDATA[Dyah Erny Herwindiati]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v9i1.11576
<![CDATA[This research was motivated by problems during the process of attendance at the Mid-Semester Examination (UTS) and Final Semester Examination (UAS). The problem begins when the student attendance process is still manual and not online or connected to the database. This study aims to determine the online student attendance system so that exam supervisors no longer give signatures on student exam cards so that the exam runs well and efficiently. The data that will be used are student data taken when the administrator fills in the student detail data. The system design made is by using a QR Code Scanner and data encryption using the SHA 512 method. Using this application system includes the QR Code Scanning process, inserting a QR Code into the student exam card. Then the smart phone application is used as a QR Code scanner. The test used to give a test the feasibility of the system in this study is to use system error level testing, black box testing and the presence of QR Code testing in certain cases. In the testing that has been done, it can be concluded that the Smart Presensi application can make it easier to do attendance and student attendance data recapitulation because the system application is directly connected to the database.]]>
<![CDATA[Pembuatan Aplikasi MOSTRANS Transporter Berbasis Mobile Menggunakan React-Native JavaScript ]]>
<![CDATA[Rubin Salim]]>;
<![CDATA[Desi Arisandi]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v10i1.17856
<![CDATA[MOSTRANS Mobile Transporter, the mobile application in this paper aims to advance technology in the health supply chain ecosystem so that every part of the operation can be more efficient and modern. In dealing with this problem as well, MOSTRANS Mobile Transporter aims to meet the needs of MOSTRANS Software as a Service (SaaS) clients by assisting them in carrying out their daily operational activities by answering problems such as what features are needed. This application is built using JavaScript and React-Native for the front-end. With GraphQL as a complementary component for the back-end. To test this application, the Black Box Testing method is used as well as testing by the user with the User Acceptance Test to ensure the application can be used for everyday use. From the test results, it was concluded that the application created had fulfilled the purpose of assisting the operational activities of the MOSTRANS SaaS client by facilitating the features required by the MOSTRANS SaaS client. By making this application, the daily operational activities of the parties involved will be much more efficient and mobile..]]>
<![CDATA[APLIKASI HUMAN RESOURCE DEVELOPMENT DENGAN FITUR PEREKRUTAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEB ]]>
<![CDATA[Wimvy Nanda Tanius]]>;
<![CDATA[Bagus Mulyawan]]>;
<![CDATA[Janson Hendryli]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v6i2.2659
<![CDATA[Human Resource Development (HRD) is required as a forum for development of all Human Resources (HR) in the company. The task of HRD itself is to conduct attendance per employee, number of employees, accept and reject employees, and perform tasks from interviews for the company itself. Every company must have a division of HRD. Each company is engaged in different fields. Companies are required to recruit employees by HRD departments. The process of selecting prospective employees in a position that is done manually by reading the background of each prospective employee. Therefore, an application for HRD in which the application can determine the right position for prospective employees. Thus it can simplify and accelerate the work of HRD in determining the right job for prospective employees. In the process of placement of this position using the Naïve Bayes method. This app can put everyone in their job positions based on the personality descriptions and skills of each prospective worker.]]>
<![CDATA[KLASIFIKASI CITRA BATIK INDONESIA DAN MALAYSIA DENGAN METODE MODIFIED DISCRIMINANT ANALYSIS ]]>
<![CDATA[Cynthia Cynthia]]>;
<![CDATA[Janson Hendryli]]>;
<![CDATA[Dyah Erny Herwindiati]]>
<![CDATA[ Computatio : Journal of Computer Science and Information Systems Vol 3, No 1 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS ]]>
Publisher : <![CDATA[Faculty of Information Technology, Universitas Tarumanagara ]]>
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DOI: 10.24912/computatio.v3i1.2973
<![CDATA[The application of Indonesian and Malaysian batik image classification using the Linear Discriminant Analysis (LDA) and Modified Discriminant Analysis (MDA) method is an introduction application that is used to classify images in the form of batik. Making this application uses the Java programming language to run feature retrieval methods, namely Color Histogram and Daubechies Wavelet and classification methods, namely LDA and MDA. Testing is done by blackbox testing method and confusion matrix. Tests are performed using color features, texture features, and a combination of training images and new test images. The best percentage test results are testing using color features, whereas with texture and the combination of both features get a slightly lower test percentage result.Aplikasi klasifikasi citra batik Indonesia dan Malaysia dengan metode Linear Discriminant Analysis (LDA) dan Modified Discriminant Analysis (MDA) merupakan aplikasi pengenalan yang digunakan untuk mengklasifikasi citra berupa batik. Pembuatan aplikasi ini menggunakan bahasa pemrograman Java untuk menjalankan metode pengambilan fitur yaitu Color Histogram dan Daubechies Wavelet dan metode pengklasifikasian yaitu LDA dan MDA. Pengujian dilakukan dengan metode blackbox testing dan matriks konfusi. Pengujian dilakukan dengan menggunakan fitur ciri warna, ciri tekstur, dan gabungan dari citra latih dan citra uji baru. Hasil persentase pengujian terbaik adalah pengujian dengan menggunakan ciri warna, sedangkan dengan ciri tekstur dan gabungan mendapatkan hasil persentase pengujian sedikit rendah.]]>
<![CDATA[KLASIFIKASI KAIN TENUN BERDASARKAN TEKSTUR & WARNA DENGAN METODE K-NN ]]>
<![CDATA[Kevin Kevin]]>;
<![CDATA[Janson Hendryli]]>;
<![CDATA[Dyah Erny Herwindiati]]>
<![CDATA[ Computatio : Journal of Computer Science and Information Systems Vol 3, No 2 (2019): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS ]]>
Publisher : <![CDATA[Faculty of Information Technology, Universitas Tarumanagara ]]>
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DOI: 10.24912/computatio.v3i2.6028
<![CDATA[Image classification of woven cloth based on texture and color using Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments and classification method KNearest Neighbour (KNN) is an application for classifying motive on woven cloth. The development of this application is using Python language programming for classification system and Android studio which using Java language programming as Front-end. Classification system consist of two main process namely feature extraction process and classification process. Feature extraction process is using GLCM, LBP and Color Moments which produce feature vector for every method and classification process is using KNN method. Feature used for classification process is feature vector which has best result. Based on experiment result, the best method that produce best feature vector is LBP method with accuracy percentage higher than other method. Klasifikasi citra kain tenun berdasarkan tekstur dan warna dengan metode Gray Level Cooccurrence Matrix (GLCM), Local Binary Pattern (LBP), Color Moments dan metode klasifikasi K-Nearest Neighbour (KNN) merupakan aplikasi yang digunakan untuk mengklasifikasi motif yang ada pada kain tenun. Pembuatan aplikasi ini menggunakan bahasa pemrograman Python sebagai sistem klasifikasi dan Android studio yang menggunakan bahasa pemrograman Java sebagai Front-end. Sistem klasifikasi dibagi menjadi dua proses utama yaitu proses ekstraksi fitur dan proses klasifikasi. Proses ekstraksi fitur dilakukan dengan metode GLCM, LBP dan Color Moments yang menghasilkan fitur vektor untuk setiap metode dan proses klasifikasi dilakukan dengan metode K-NN. Fitur yang digunakan dalam proses klasifikasi adalah fiturvektor yang memiliki hasil terbaik. Berdasarkan hasil pengujian yang telah dilakukan, metode yang dapat menghasilkan fitur terbaik adalah metode LBP dengan persentase akurasi lebih tinggi dibandingkan dengan dua metode lainnya.]]>
