Article Per Year (5 Year)
p-Index From 2020 - 2025
1.168
P-Index
This Author published in this journals
All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Agus Budi Dharmawan Agus Budi Dharmawan
Unknown Affiliation
Computer Science & IT Mathematics Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
KAJIAN TENTANG PERANCANGAN TRACKING SYSTEM PEMANTAUAN PERGERAKKAN OBYEK MENGGUNAKAN LUCAS-KANADE Randy Oetoroputra; Lina Lina; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): 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.v1i2.3145

Abstract

This application is developed for tracking object movements with Lucas-Kanade method.  The input data are of the positions of the targeted object and their RGB values. The process started by recording the position of the selected object. After an object is selected by the user, this application will start tracking  the object’s position. Kata Kunci : Tracking system, Lucas-Kanade, Jacobian matrix, greyscale, RGB.
SISTEM PAKAR DIAGNOSIS PENYAKIT TELINGA HIDUNG DAN TENGGOROK Sifra M.B. Pattiasina; Chairisni Lubis; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 2 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (87.471 KB) | DOI: 10.24912/jiksi.v4i2.128

Abstract

Expert system is a system that is trying to adopt human knowledge into a computer, so that the computer can resolve the issue like done by experts. System design expert for disease diagnosis ear, nose and throat with the utilization of the basis knowledge on file in database. Expert systems to diagnose diseases of ear, nose and throat using Forward Chaning methods and Generate and Test Algorithms which aims to carry out a search about indications in order to diagnose type of disease. Forward Chaining using Certainty Factor to calculate the level of certainty of the disease diagnose.Generate and Test Algorithm to do a searching for indication in the form of question. The system will provide questions to be answered. Data that is recognizable will adjust the rules to matched then be calculated using Certainty Factor and gives weight of the resulting answers to diseases diagnose.
PERANCANGAN APLIKASI AUDIO WATERMARKING DENGAN SPREAD SPECTRUM DAN KOMPRESI DENGAN HUFFMAN DAN RLE Mulyadi Mulyadi; Susany Soplanit; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): 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.v1i1.3083

Abstract

Adanya penyimpangan terhadap kepemilikan hak cipta dan kebutuhan akan kapasitas penyimpanan sehingga dirancangnya program aplikasi penyisipan data ke dalam data audio dengan metode Spread Spectrum dan aplikasi kompresi pada data audio dengan metode Huffman dan Run Length Encoding. Program aplikasi tersebut, bertujuan untuk melakukan penyisipan data ke dalam data audio sehingga dapat dijadikan sebagai tanda yang membuktikan kepemilikan suatu data. Program ini juga dapat digunakan untuk memperkecil ukuran data pada data audio, sehingga dapat menghemat ukuran data audio pada ruang penyimpanan. Audio yang diproses pada program aplikasi ini adalah audio wav mono 8bit 8000Hz. Dengan perancangan aplikasi ini dapat menghasilkan audio wav yang sudah disisipkan tanda dan audio wav yang telah diperkecil ukurannya.
SEGMENTASI DOKUMEN DENGAN MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK Veronica Santoso Khalim; Chairisni Lubis; Agus Budi Dharmawan
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.v3i1.3289

Abstract

The development of knowledge in the field of artificial intelligence is highly developed, such as research on segmentation of documents. Segmentation of documents makes the user becomes easy to obtain the required information. Segmentation is to divide an image into several regions based on the similarity of the form or object. Segmentation can also means, an image recognized into small blocks and recognized into a kind whether text or not. The design of this application that have utility as a maker of computer programs that can automatically segmenting types contained in the mixture and recognize text document or image automatically as well, make the document easier to be taken and analyzed its contents. Segmentation this document is based on a block by using backpropagation and histogram smoothing for smoothing the histogram. Input form document image obtained with the help of the scanner with JPEG and BMP file formats. After testing by using the Automatic Cropping, it is known that the accuracy rate of 82.1% for the first size is 1048x195 and 58.7% for the second size is 1048x52. While testing using Windowing process, known accuracy rate of 21%. The introduction of more accurate to type text rather than images. Key wordsBackpropagation, Histogram, Segmentation, Smoothing 
DETEKSI KONDISI ORGAN GINJAL DAN LAMBUNG MELALUI IRIS MATA MENGGUNAKAN METODE BACKPROPAGATION NEURAL NETWORK Fanjie Hidayat; Chairisni Lubis; Agus Budi Dharmawan
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.v3i2.3307

Abstract

     Iridology is a science based on analysis of signs contained in the network structure of the human body such as iris as a reflection of the health condition. According to the science of iridology, iris eye is an extension of the brain. The organs in the body sends vibrations to the body cells and is recorded in the brain. These recordings can then be viewed through the iris of the eye that relate directly to the brain. This project build software for detection of kidney and stomach conditions through the iris with Backpropagation Neural Network. The first process in this application is looking for feature extraction on the iris image by preprocessing stage. The value from feature extraction will be calculated by Backpropagation Neural Network to find the kidney and stomach conditions,  normal or abnormal from the iris image. The test results reached 94.44% from data in database and 72.22% from the untrained data. Key wordsIridologi, Gray Level Cooccurrence Matrix, Backpropagation Neural Network
KAJIAN TENTANG APLIKASI MOBILE INTERFACE PENCARIAN CITRA PADA BASIS DATA ONLINE BERBASIS iOS Daniel Antineus; Lina Lina; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (2014): 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.v2i2.3198

Abstract

The use of the mobile phone as an information retrieval system nowadays has become a frequently performed task. Mobile phone that is easy and practical to carry anywhere, lightweight and with advanced technology makes the device more efficient to use than a desktop or a laptop. On these basis, we designed a simple application to recognize objects using the image histogram method for helping people especially to those affected by Alzheimer ,Aphasia, and those who are computer illiterate. This application is made using XCode with Objective-C programming language. The application is built in the iOS platform used on the mobile device technology company Apple, the iPhone. Key words Image Histogram, iOS, Xcode, Objective-C, Object, iPhone.
KAJIAN TENTANG PERANCANGAN APLIKASI PENDETEKSI SEL DARAH PUTIH MENGGUNAKAN METODE COLOR HISTOGRAM Alvin Christo Tjiptiadi; Lina Lina; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): 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.v1i2.3112

Abstract

We developed a white blood cell detection system using Color Histogram method. The images which are taken automatically by a servo motor consist of the red blood cells and the white blood cells. The white blood cells’ positions are detected based on their RGB color intensities. The main target of the system is to detect the location of the white blood cells in a given blood cell pictures.
KAJIAN TENTANG SISTEM PENGENALAN BUAH PADA PLATFORM IOS MENGGUNAKAN METODE COLOR HISTOGRAM Bryce Clement Sutedja; Lina Lina; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 2 (2013): 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.v1i2.3117

Abstract

Today the use of the mobile phone as an information retrieval system has become a frequently performed. Mobile phone that is easy and practical to carry anywhere, lightweight and increasingly advanced technology makes the device more efficient to use a mobile phone than a desktop or laptop. On basis of these, designed an application to recognize fruit using color histogram method for people affected by Alzheimer. This application is made using xcode with objective-c programming language. The application is built in the iOS platform, the operating system used on the mobile device technology company Apple, the iPhone. Keywords : Color Histogram, iOS, Xcode, Objective-c, Fruit,iPhone.
SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT KEJIWAAN BIPOLAR DENGAN MENGGUNAKAN METODE BAYESIAN NETWORK Olivia Prima Putri; Chairisni Lubis; Agus Budi Dharmawan
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.v3i2.3323

Abstract

Expert System is one of artificial Intelligence which uses the knowledge of an expert as its knowledge base. In this research, expert system  designed to diagnosing bipolar disorder  using the method of bayesian network. The result of this application is  the type of psychiatric diseases  bipolar and the value of the probability of each disease. In this research, the  probability of bipolar disorder test data according to medical records obtained yield was 39.39% and the results of testing using test data with new symptoms obtained yield was 55.55%. Key words Bayesian network, bipolar disorder,expert system
STUDI KASUS SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT PERNAPASAN Christ Bastian Waruwu; Chairisni Lubis; Agus Budi Dharmawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 4, No 1 (2016): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (86.53 KB) | DOI: 10.24912/jiksi.v4i1.140

Abstract

In coping with a disease usually go to the doctor or to a health clinic to get the healing, especially respiratory diseases. Because so many respiratory diseases and symptoms, so an expert or a doctor needs to examine more deeply the symptoms experienced by patients to be able determine the illness. Therefore made respiratory expert system using Dempster Shafer and Naïve Bayes Classifier. In the research, the results of testing both methods are respectively 90% in Dempster-Shafer method and 94,28% in Naïve Bayes Classifier method.
Co-Authors Adrian Primanta S Alvin Christo Tjiptiadi Asep Darmawan Benny Karnadi Bryce Clement Sutedja Chairisni Lubis Chavia Rossyerin Prabowo Sutjiadi Christ Bastian Waruwu Daniel Antineus Debora Melinda Dedi Trisnawarman Donni Suharyanto Fanjie Hidayat Filipus Hanung Nugroho Immanuel Chandra Jun Can Kelvin Samuel Lina Lina Matthew Patrick Mulyadi Mulyadi Nikolas Patrick Fernando Novario Jaya Perdana Olivia Prima Putri Randy Oetoroputra Renaldy Ronald Ronald Satria Ramadhan Sifra M.B. Pattiasina Susany Soplanit Tony Tony Veronica Santoso Khalim Willy Wijaya Yusten Wuntoro