Jurnal Transformatika
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OPTIMASI ALGHORITMA BREADTH FIRST SEARCH PADA GAME ENGINE 3D THIRD PERSON SHOOTER MAZE BERBASIS AGEN CERDAS ANDROID
Get PDF Game is currently very popular in the community at large, one of which is the game third person shooter (TPS) which can be run through a mobile phone or computer, making it very easy and affordable, one thrid person shooter game 3D maze.The labyrinth is a game to find the right path to achieve the objectives which the way players experience many obstacles to destination, so spend a lot of time,then in need of a settlement in order to facilitate the player in completing the levels on every obstacle, in need of a alghoritm Breadth First Search for ease in completing permainan.Cara employment levels every alghoritm Breadth First Search is a search method that starts with the roots off the road to the next.This search is done by looking at all the nodes or vertices have the same level to determine the final outcome at that level,if they do not find the will to move to the next level. so that the process backtrackto re-find the right path to achieve goals the appropriate time. Keyword: Games, Third person, Shooter, Maze, Breadth First Search.
PERBANDINGAN SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR UNTUK KLASIFIKASI TELUR FERTIL DAN INFERTIL BERDASARKAN ANALISIS TEXTURE GLCM
Get PDFFertility eggs test are steps that must be performed in an attempt to hatch eggs. Fertility test usually use egg candling. The purpose of observation is to choose eggs fertile (eggs contained embryos) and infertile eggs (eggs that are no embryos). And then fertilized egg will be entered into the incubator for hatching eggs and infertile can be egg consumption. However, there are obstacles in the process of sorting the eggs are less time efficient and inaccuracies of human vision to distinguish between fertile and infertile eggs. To overcome this problem, it can be used Computer Vision technology is having such a principle of human vision. It used to identify an object based on certain characteristics, so that the object can be classified. The aim of this study to comparasion classify image fertile and infertile eggs with SVM (Support Vector Machine) algorithm and K-Nearest Neighbor Algorithm based on input from bloodspot texture analysis and blood vessels with GLCM (Gray Level Co-ocurance Matrix). Eggs image studied are 6 day old eggs. It is expected that the proposed method is an appropriate method for classification image fertile and infertile eggs
PENGEMBANGAN METODE OTENTIKASI KEASLIAN IJASAH DENGAN MEMANFAATKAN GAMBAR QR CODE
Get PDF- QR Code is two-dimensional image that represents the data, particularly data-shaped teks. QR Code is an evolution of the first one-dimensional barcode into two dimentions. QR Code has the ability to store much more data than a barcode.One of the important data in the campus are collegers certificate. It is a document that serves as proof of authenticity that someone has undergone a formal education stage and successfully pass the exam. The collegers certificate conventionally used today is a collegers certificate in physical form so that there is the possibility of lost or damaged. Conventional collegers certificate verification process is difficult because the process is carried out only by the manufacturer of collegers certificate. The means used to verify the authenticity of the data collegers certificate today is to make direct contact to the manufacturer\u27s certificate regarding authenticity certificate holder, as well as the legalization process tertandatangan of collegers certificate maker.From the conduct of research and testing conducted it can be concluded that: QRCode can be used to accommodate large data information of graduate, Facilitate the detection of the authenticity of the certificate of ownership information from mobile devices, also QRCode can be quickly used to verify the certificates quickly and accurately
DESAIN SISTEM INFORMASI GEOGRAFIS PEMETAAN GIZI BURUK DI KOTA SEMARANG
Get PDFSevere Protein Energy Malnutrition (PEM) are four major problems in the nutrition world. Such as iodine deficiency disorders, and lack of vitamin A. It also often called malnutrition caused by shortages associated poor dietary intake in terms of quality and quantity. Based on data from Semarang Health Office in 2013, the scope of severe PEM in children under five with BGM (Down Red Lines) of 1,502 (1.7%) and children with severe malnutrition by 32 (0.04%). The number of infants with BGM (Down Red Lines) in Semarang in 2013 was 1,502 or 1.7%. Geographical Information Systems (GIS) is one of the information technology that was designed to use spatial and non spatial data. The system could report information and summarize the malnutrition data thus help to process analysis of the causes of malnutrition in the region. Geographic information systems development method used waterfall method with Unified Modeling tools laguage (UML). System testing was done by white box method for testing complexity groove siklomatis on system design and black box to test the input and output
Implementation of AJAX and JSON to improve web application performance
Get PDFAJAX is not a language programming, but a technic that possible to create interactive web application. With AJAX, web application can interaction with server in back screen, so not influence web page overall. The method of displaying the result request from user and viewed in to system without must reload page overall. AJAX representation performed with creating programming in the system. This research provides a bridge between the user request and server response, so as to ease the burden of the server as seen from the server memory in unused. The result from this research is system can provides a faster display from the previous system. Testing system based on a rapid access on each menu. The result comparison between the old system and the new system is 43,8 versus 78,4 and server memory used is 2.112 MB versus 2.095 MB with 8 users. This comparison provides information that system with AJAX better to be used on building a syste
Penentuan Error Dalam Peramalan Jumlah Korban Demam Berdarah Dengue Menggunakan Metode Neural Network (Kasus : Rumah Sakit Charitas Palembang)
Get PDFDengue Hemorrhagic Fever (DHF) is a type of disease that was ranked first in ASEAN and ranked second in the world. The number of victims of dengue in RS Charitas Palembang tend to increase in certain months and erratic every month. In addition, dengue casualty data is not used as an evaluation to reduce the number of victims. It became the basis for forecasting the number of victims of dengue in the next year. Research to predict the number of victims of dengue have been done with various techniques of artificial intelligence. Research conducted now use data RS Charitas Palembang patterned time series over the last 10 years by using Neural Network. The results obtained are patterns victim DBD significant start in December and then reach the peak in January, accompanied by figures forecast in each month of the following year. Furthermore, the calculation error using Neural Network obtained using the input layer 12, hidden neuron 28, and the output layer 1 and the error obtained 12.59%
ANALISA PENINGKATAN KUALITAS CITRA BAWAH AIR BERBASIS KOREKSI GAMMA dan HISTOGRAM EQUALIZATION
Get PDFUnderwater image of water quality in the dark, it depends on the depth of water at the time of image acquisition or image. The results of the image quality is adversely affecting the results matching the image pairs underwater with SIFT algorithm. This research aims to use the method of image preprocessing and Histogram Equalization Gamma Correction that works to improve the quality of images underwater. The results showed 27.76% increase using image preprocessing Gamma Correction and Histogram Equalization compared with no increase in image quality. Results of paired t-test has the null hypothesis is rejected so that there is a significant difference between the application of Gamma Correction Histogram Equalization with and without image enhancement
IMPLEMENTASI ORACLE SPATIAL UNTUK PEMETAAN KETAHANAN DAN KERAWANAN PANGAN DI KABUPATEN BREBES
Get PDFFood insecurity is a common problem in some areas and it must be taken into consideration for its involvement into human life. Food insecurity refers to the inability of people in local communities to secure adequate food. Food insecurity maps can be used to identify areas that tend to insecure. Based on Central Java Food Security and Vulnerability Atlas (FSVA) in 2010, Brebes has been in a food secure status and it makes difference from all districts and cities in Central Java province. The anomaly on food security status in Brebes is the main concern on this research by implementing Oracle Spatial to mapping the food security and vulnerability. Oracle Spatial combines the spatial data and food data for displaying information about food security status within each district in Brebes
PENERAPAN ALGORITMA COLLISION DETECTION DAN BAYESIAN UNTUK STRATEGI MENYERANG JARAK DEKAT PADA NPC (NON PLAYER CHARACTER)MENGGUNAKAN UNITY 3D
Get PDFThe game is a field of science is growing rapidly and very interesting to learn because review has potential good view of science and commercial aspect. To produce an attractive and realistic games, there are a few things to note. One of them is the attention to the attack strategy, especially for the NPC (Non Player Character). Referring to previous studies that discuss strategies melee attack for NPC (Non Player Character)[1]. This study combines two Collision Detection with Bayesian methods for attacking strategy melee. In this study is to divide some of the behavior of NPCs attack when in the position closest to the enemy. This study applies the algorithm for Bayesian classification assault NPC behavior and collision detection algorithms for decision-making behavior when NPCs hit the player. By merging algorithm aims to improve on the weaknesses of previous research. NPC assault classification is divided into two offensive behavior: attitudes and behavior kick smash. As for the variables used in Bayesian classification is health points, attack points player and the distance obtained from NPC conditions. The results of the implementation of collision detection and Bayesian methods have proved that the collision detection methods can take decisions NPC attack behavior although placed closest to the player. From the test results with the calculation methods confusion matrix gain as much as 90% accuracy
GAME SCORING SUPPORTING OBJECTS MENGGUNAKAN AGEN CERDAS BERBASIS ARTIFICIAL INTELLIGENCE
Get PDFGame are activity most structure, one that ordinary is done in fun and also education tool and help to develop practical skill, as training, education, simulation or psychological. On its developing current game have until 3D. In one game, include in First Person Shutter necessary scoring one that intent to motivate that player is more terpacu to solve game until all through, on scoring Super Mario\u27s game Boss, Compass does count scoring haven\u27t utilized Artifical Intelligent so so chanted, while player meet with supporting objects example ammor ability really guns directly dead, so is so easy win. Therefore at needs a count scoring interesting so more motivated in finishing problem Scoring accounting point for First Person Shutter\u27s game .This modelling as interesting daring in one game, since model scoring one that effective gets to motivate that player is more terpacu in plays and keep player for back plays. Besides model scoring can assign value that bound up with game zoom.On Research hits scoring this game will make scoring bases some criterion which is health Point, Attack point, Defence point, And Magic what do at have supporting objects ,then in this research do compare two method are methodic statistic and Fuzzy. Result of this research 83,4 % on testing\u27s examination and on eventually gets to be concluded that fuzzy\u27s method in trouble finish time more long time but will player more challenging to railroad.