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INDONESIA
Jurnal Informatika
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Core Subject : Science,
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Articles 4 Documents
Search results for , issue "Vol 13, No 1 (2015): MAY 2015" : 4 Documents clear
KEAMANAN CITRA DENGAN WATERMARKING MENGGUNAKAN PENGEMBANGAN ALGORITMA LEAST SIGNIFICANT BIT Kurniawan, Kurniawan; Siradjuddin, Indah Agustien; Muntasa, Arif
Jurnal Informatika Vol 13, No 1 (2015): MAY 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.819 KB) | DOI: 10.9744/informatika.13.1.9-14

Abstract

Image security is a process to save digital. One method of securing image digital is watermarking using Least Significant Bit algorithm. Main concept of image security using LSB algorithm is to replace bit value of image at specific location so that created pattern. The pattern result of replacing the bit value of image is called by watermark. Giving watermark at image digital using LSB algorithm has simple concept so that the information which is embedded will lost easily when attacked such as noise attack or compression. So need modification like development of LSB algorithm. This is done to decrease distortion of watermark information against those attacks. In this research is divided by 6 process which are color extraction of cover image, busy area search, watermark embed, count the accuracy of watermark embed, watermark extraction, and count the accuracy of watermark extraction. Color extraction of cover image is process to get blue color component from cover image. Watermark information will embed at busy area by search the area which has the greatest number of unsure from cover image. Then watermark image is embedded into cover image so that produce watermarked image using some development of LSB algorithm and search the accuracy by count the Peak Signal to Noise Ratio value. Before the watermarked image is extracted, need to test by giving noise and doing compression into jpg format. The accuracy of extraction result is searched by count the Bit Error Rate value.
APLIKASI SURABAYA HERITAGE BERBASIS WEBSITE Handojo, Andreas; Lim, Resmana; Christian, Robby; Gosal, Robert; Bastion, Yulius
Jurnal Informatika Vol 13, No 1 (2015): MAY 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.716 KB) | DOI: 10.9744/informatika.13.1.15-19

Abstract

Utilization of communication and computer technology has spread into various fields. Begin from the world of entertainment, education, business, health, life-style, and also the tourist field. Nowadays, still lack of the information related to the city of Surabaya as historical information, information about tourist sites, and others. This research conduct to develop an application to explore the history of the city of Surabaya as historic sites, tourist sites, museums, and the event agenda in town. With this application, the user is expected to be able to learn about the history of the city of Surabaya in the interesting form by combining text, picture, sound, and Google map facilities, as well as well as the promotion of tourism and events agenda are hosted in the city of Surabaya. Surabaya Heritage Applications created on a web-based application that is intended for public to know better about the history, tourism objects, as well as the event agenda in the city of Surabaya. Based from the testing results, the application was able to perform functions such as pre-planned. Meanwhile, testing by sampling questionnaires to the user produce that the application is attracting interest from users by 85%. It can be concluded that the applications made quite meet the target research.
PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER Spits Warnars, Harco Leslie Hendric; Suria, Epafras; Jeremy, Darren Kent
Jurnal Informatika Vol 13, No 1 (2015): MAY 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (138.18 KB) | DOI: 10.9744/informatika.13.1.20-24

Abstract

As a Computer scientist, a computer science students should have understanding about database theory as a concept of data maintenance. Database will be needed in every single human real life computer implementation such as information systems, information technology, internet, games, artificial intelligence, robot and so on. Inevitably, the right data handling and managament will produce excellent technology implementation. Data warehouse as one of the specialization subject which is offered in computer science study program final semester, provide challenge for computer science students.A survey was conducted on 18 students of early year of computer science study program at Surya university and giving hypothesis that for those students who ever heard of a data warehouse would be interested to learn data warehouse and on other hand, students who had never heard of the data warehouse will not be interested to learn data warehouse. Therefore, it is important that delivery of the Data warehouse subject material should be understood by lecturers, so that students can well understoodwith the data warehouse.
SEGMENTASI OBYEK PADA CITRA DIGITAL MENGGUNAKAN METODE OTSU THRESHOLDING Syafi?i, Slamet Imam; Wahyuningrum, Rima Tri; Muntasa, Arif
Jurnal Informatika Vol 13, No 1 (2015): MAY 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.347 KB) | DOI: 10.9744/informatika.13.1.1-8

Abstract

Digital image has size and object in the form of foreground and background. To separate it, it is necessary to be conducted the image segmentation process. Otsu thresholding method is one of image segmentation method. In this research is divided into five processes, which are input image, pre-processing, segmentation, cleaning, and accuracy calculation. First process was input color images which consists of multiple objects. Second process was conversion from color image to grayscale image. Third process was automatically calculated threshold value using Otsu thresholding method, followed by binary image transformation. The fourth process, the result of third process is changed into negative image as the segmentation results, noise removal with a threshold value of 150, and morphology. The last accuracy calculation is conducted to measure proposed segmentation method performance. The experimental result have been compared to the image of Ground Truth as the direct user observation to calculate accuracy. To examine the proposed method, Weizmann Segmentation Database is used as data set. It conconsist of 30 color images. The experimental results show that 93.33% accuracy were achieved.

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