Jurnal Informatika
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APLIKASI SURABAYA HERITAGE BERBASIS WEBSITE
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
THE CPA QUALIFICATION METHOD BASED ON THE GAUSSIAN CURVE FITTING
The Correlation Power Analysis (CPA) attack is an attack on cryptographic devices, especially smart cards. The results of the attack are correlation traces. Based on the correlation traces, an evaluation is done to observe whether significant peaks appear in the traces or not. The evaluation is done manually, by experts. If significant peaks appear then the smart card is not considered secure since it is assumed that the secret key is revealed. We develop a method that objectively detects peaks and decides which peak is significant. We conclude that using the Gaussian curve fitting method, the subjective qualification of the peak significance can be objectified. Thus, better decisions can be taken by security experts. We also conclude that the Gaussian curve fitting method is able to show the influence of peak sizes, especially the width and height, to a significance of a particular peak
AUDIT AWAL SISTEM INFORMASI PADA PT. X BERDASARKAN STANDAR CONTROL OBJECTIVES FOR INFORMATION AND RELATED TECHNOLOGY (COBIT 4.1)
PT. X is a company engaged in the field of iron and steel construction, located in Surabaya. Not easy for a large company with business processes that are also wide enough to carry out all processes in the company by way of the manual. This is because in the era of globalization, companies must be able to address the issues and changes that occur quickly and on target. Therefore, companies urgently need an integrated application. However, the factor that must be considered not only focuses on the acquisition of application systems needed by the company alone. But companies also need to focus on maintaining the quality of the application system. Because the application system useful to support and enhance the company's management in order to improve company performance and effectiveness in delivering services to the public. Therefore, the researcher wants to conduct the audit planning of application system for PT. X with analysis on the condition of IT at PT. X to determine the COBIT domains that need to be audited
LOAD BALANCING DINAMIS MENGGUNAKAN ALGORITMA DYNAMIC DISTRIBUTION UPON DEMAND PADA SISTEM ENKRIPSI/DEKRIPSI DATA TERDISTRIBUSI
The diversity of capability of computers worker in distributed system influences resource allocation and completion time for each jobs on the system. This study aims to implement a dynamic load balancing technique using dynamic distribution upon demand (DDD) algorithm to optimize the resource allocation in distributed data encryption/decryption system. Evaluating was performed by comparing the proposed system with two other models that is a system without load balancing and with static load balancing method. Evaluation result showed that the resource allocation in the proposed system using DDD algorithm more optimized and at the decryption process of three and four characters with proper workload initialization values presented that the job completion time much faster than the two other systems
IOS APPLICATION FOR FINDING HALAL FOOD, MOSQUE, QIBLA DIRECTION AND PRAYER TIME
Muslim sometimes has trouble when they travel to a new place for find where the location of the halal food and mosque near their location is. Other things that Muslim will have difficulty when they travel in to a new place are find the Qibla direction, pray time in local time and the mosque location near their location. From that problem MLH (Muslim Little Helper) want to help them to solve their problem. The process is carried out as follows: The app get the user location, send the location to the YELP API server and muslimshalat.com API to get the location of halal food, and mosque (using YELP) and for find the direction of Qibla and the prayer schedule (by using muslimshalat.com API). After the system get the data, then it will show on the Map (using apple map inside the app) and put the data as marker. For the Qibla direction and prayer time, it will show in arrow image and listview. This app will be use Swift for the development language. The test result shows that the YELP API can be use only in USA, and internet play as the main rule in this app, because to create connection to the server to pull the data, the system need internet to pass all the data to server
PEMBUATAN APLIKASI AUDIENCE RESPONSE SYSTEM BERBASIS WEB DAN ANDROID
Audience Response Systems are widely used in various events as a media to gather information, to collect data, and to know the opinions of the general public towards particular issues, topics, news. Audience Response System can also be used to find out the client or customer satisfaction to the quality of products or services. Unfortunately most of the audience response systems that exist today are in the form of a physical (or remote) device which is severely limited in use. Along with the development of technology, almost all people have a smartphone to support their daily activities. The physical remote device called a clicker can be replaced with an application or program that can be installed on smartphones, while the polls are created through the website. In this research, the Audience response system was built using Node.js, PhoneGap platform, and the WebSocket Socket.IO as Javascript library to support bi-directional data communications. Based on testing result, this application can run properly all the functionalities that have been mentioned such as login to the system, create a poll, join a poll, and give a vote. The realiability of the system is 93%.
REKAYASA PERANGKAT LUNAK DETEKSI DINI KECENDERUNGAN GANGGUAN KESEHATAN MASYARAKAT TERTINGGAL DAN PESISIR DENGAN BAYESIAN NETWORK
This study was conducted to see the trend of diseases caused by unhealthy lifestyles on disadvantaged communities and coastal villages around Gresik and Tuban using hybrid algorithms through the construction of the structure of Bayesian Network. The problem to be solved in this study is no system that can detect a relationship between unhealthy behavior that caused the disease. Model of this structure has never been applied directly in the field to detect a causal events for example, if a behavior is unhealthy will arise disease. Application of this model needs to be done with a field study to determine and prove the actual benefits of the concept of a hybrid construction of Bayesian network structure. The purpose of this research is to produce a software model capable of early detection of disease risk propensity underdeveloped rural and coastal communities who have unhealthy lifestyles in the form of construction of the structure and generates a probability value with a tendency disease. The comparison between the structure of the origin of the structure of the trial results indicate the level of suitability for complete test data difference of 10% to the original structure, and suitability for the test data is incomplete for more than 20% depending on the amount of his missing value. The validity of that smoke will have the tendency has tuberculosis disease, bronchitis or Lung Cancer through the test system is 80% to 90%
SEGMENTASI OBYEK PADA CITRA DIGITAL MENGGUNAKAN METODE OTSU THRESHOLDING
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
PEMAHAMAN TEORI DATA WAREHOUSE BAGI MAHASISWA TAHUN AWAL JENJANG STRATA SATU BIDANG ILMU KOMPUTER
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
SKIN SEGMENTATION AND SKULL SEGMENTATION FOR MEDICAL IMAGING
In this paper aims we present tools for medical imaging applications to do skin and skull segmentation in a short time. The desired output for skin segmentation is a 3D visualization of the facial skin without any cavities or holes inside the head, while skull segmentation aims to create a 3D visualization of the skull bones. The algorithm used for skin segmentation is thresholding the image, extracting the largest connected component, and holefilling to fill the unnecessary holes. As for the skull segmentation, the process is done by removing the spines which is connected to the skull, and then extracting the largest connected component. Afterwards, mesh generation is done to produce the 3D objects from the processed images. This mesh generation process is done using the marching cubes algorithm. The testing results show that the skin and skull segmentation process will work well when there are no other objects that are connected to the skin or the skull. Skin segmentation process takes a significant amount of time, primarily caused by the holefilling process