Face Duplication Identifier Using Artificial Nerves

The facial recognition system develops a basic identity verification system based on the natural features of human faces. The study included duplicate passport identification, which checks each person's facial accuracy through a sample of facial data. The data used in this study were 180 face samples at the training stage and 30 face samples at the testing stage. The face sample taken is a forward-facing face that is not obstructed by an object. Face image recognition in this study combines GLCM method, color moment, shape extraction and backpropagation algorithm. The test process recognition rate is 78.83%

PENERAPAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TEMPAT TINGGAL STUDI KASUS : PERUMAHAN GRAND DEPOK CITY

Housing is currently growing rapidly, a person buying a home is often based on the criteria of price, location, public facilities, home facilities, access, type (buildings and land area), type of building, building specifications and design of the house. These criteria into consideration for buying a home and good livable. Decision support system offers solutions for reference in choosing a place to stay. By using Analytical Hierarchy Process (AHP) is able to resolve the issue. Using AHP can help customers by providing alternative housing (cluster) in accordance with the wishes of the customer. Consistensi vector calculation results, comparison of alternatives per criterion in obtaining the value of 0.0488699. The first priority is the price criteria weighting of 0.57, the second location criteria weighting of 0.20, the third criteria of land area weight of 0.03, the fourth criterion public facilities weights of 0.05, 0.05 weight fifth road access. The results of the weight value calculation alternative housg Anggrek3 first priority value of 0.39, the second anggrek2 value of 0.25, the third Viscany value of 024 and the latter Acacia value of 0.11

MORPHOLOGY OF FOLKLORE BATU NAGA LAMPUNG

The purpose of this study was to analyze the morphology of folklore based on Vladimir Propp's theory and method of researching Narratology structure including the structure of the actor's action function, the function in the action environment, and the scheme. This research method is descriptive qualitative and the method developed by Vladimir Propp. The object of research is the Batu Naga Lampung folklore. The technique of data collection is done by the documentation technique through a literature study. Data analysis techniques use the flow method that is data reduction, data presentation, and concluding. The results of the study found there are 26 functions of the perpetrators' actions that are distributed into 6 action environments

Decision Support System for Employee Performance Evaluation with Promethe Method. Case Study: Faculty of Engineering, Pancasila University

High competent human resources can support the level of employee performance. By conducting performance evaluation assessments it will be known the achievements of each employee. Assessment of employee performance evaluation carried out by the Faculty of Engineering, University of Pancasila uses criteria of diligence, teamwork, sincerity to work, skills, initiative, independence and attendance. The weights of criteria still determined by the Faculty authority. In this study, the authors used the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to assist in making employee performance evaluation decisions, so that it can be seen which employees get the reward with good performance. There are six stages of the ranking including determine criteria and its weights,  calculating the values of the requirements for each employee, preference value calculation between alternatives, calculating the value for the index, calculating entering flow, leaving flod and net flow. The data used is in the form of employee performance evaluation data that have range of 5 years consist of 16 samples taken from employee data from Faculty of Engineering, University of Pancasila. The calculation have been made using this six stages of the PROMETHEE method and after evaluation using precision approach have performance result of 96,364% accuracy compared with the conventional metho

Decision Support System for Employee Performance Evaluation with Promethe Method. Case Study: Faculty of Engineering, Pancasila University

High competent human resources can support the level of performance, by conducting performance evaluation assessments it will be known the achievements of each employee. Assessment of employee performance evaluation carried out by the Faculty of Engineering, University of Pancasila uses criteria of diligence, teamwork, sincerity to work, skills, initiative, independence and attendance. In this study, the authors used the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to assist in making employee performance evaluation decisions, so that it can be seen which employees get the reward with good performance. The data used is in the form of employee performance evaluation data using six stages of the PROMETHEE method

Perancangan Sistem Informasi Penjualan Online

Internet technology has proved to be one of the effective and efficient information media in the dissemination of information that can be accessed by anyone, anytime and anywhere. Internet technology has a tremendous effect on commerce or business. Only from home or office space, potential buyers can view the products on the computer screen, access the information, order and pay with the available options. Potential buyers can save time and money because they do not need to come to the store or place of transactions so that from their seats can make a decision quickly. Online transactions can connect sellers and potential buyers directly without being limited by space and time. That means online sales transactions have potential buyers from all over the world. In addition, the company's development is considered a bit slow. Therefore designed an online sales system by using web or internet media with the aim to minimize sales process time with the aim to increase sales volume so that company earnings can increase. In this study the authors use waterfall and observation methods. In the implementation is displayed login and registration process, inputting: product data, product ordering, sales, payments, complaints, testimonials. It can be concluded that this system get information and reports easily. This system also allows consumers to make purchases of desired products. Controlling in recording and data security can be handled properly because each user has their respective passwords and given a menu in accordance with the process to be executed. Website visitors who do not register as consumers, can still see the products that are sold and also testimonials that have been made by consumer

SERVICES CANCER DETECTION SYSTEM USING K-NEAREST NEIGHBOURS(K-NN) METHOD AND NAÏVE BAYES CLASSIFIER

According to WHO (World Health Organization) data, every 2 minutes a woman dies. In Indonesia alone, 40 - 45 women are diagnosed with cervical cancer every day. Of those diagnosed, around 20-25 die from cervical cancer. About 95% more cervical cancer is caused by infection with the HPV virus or the human papilloma virus and an estimated death rate reaches 270,000 deaths each year. Cervical cancer occupies the third rank type of cancer in the world after breast and lung cancer, because the symptoms are not very visible at an early stage, so it is referred to as "Silent Killer". Based on the data and cases above, the latest technology that is able to detect cervical cancer in order to speed up the detection process for someone to be quickly treated is an artificial intelligence application that serves to detect whether someone should run 4 cervical cancer testing techniques, namely Hinselmann, Schiller, Citology, and biopsy with K-nearest neighbors algorithm and Naive Bayes classifier is one of the latest technologies that can facilitate the work of a doctor and speed up the process of detecting someone whether to run 4 testing techniques or not. The correct amount of data classified by the K-Nearest Neighbors method is 558 data from 858 data. The classification accuracy of the Naïve Bayes method is 84.7%. The correct amount of data classified by the Naïve Bayes method is 558 data from 858 data. The classification accuracy of the Naïve Bayes method is 84%

Decision Support System for Final Assignment with Analytical Hierarchy Process (AHP) Method. Case Study: Informatics Engineering Faculty of Engineering, Pancasila University

In human life always faced with several choices. The right decision making will affect our lives in the future. In the bachelor degree program education Final Project is the closing course to get a Bachelor's degree. Many things need to be considered in determining the appropriate TA topic. Many people have a view, choose the topic of Final Assignment that is easy so easy, regardless of suitability with interests and talents. Actually this view needs to be reviewed because choosing the topic of Final Assignment has a significant impact on the lives of these students in the future. To determine the topic of Final Assignment in the Informatics Engineering Faculty of Engineering, the Pancasila University required mastering criteria, mastering memorization, mastering the count, mastering the design, value, and areas of interest. And has an alternative, namely Information Systems, Decision Support Systems using methods, Intelligent Systems/Expert Systems, Networks, Mobile Programming (Games), Mobile Programming (Applications), Use of Algorithms in Support Systems / Applications of this Decree using Analytic Hierarchy Process method for determine the exact topic of Final Assignment according to the ability of students. The AHP method refers to taking selected elective course

PERANCANGAN SISTEM INFORMASI PENJUALAN ONLINE

Internet technology has proved to be one of the effective and efficient information media in the dissemination of information that can be accessed by anyone, anytime and anywhere. Internet technology has a tremendous effect on commerce or business. Only from home or office space, potential buyers can view the products on the computer screen, access the information, order and pay with the available options. Potential buyers can save time and money because they do not need to come to the store or place of transactions so that from their seats can make a decision quickly. Online transactions can connect sellers and potential buyers directly without being limited by space and time. That means online sales transactions have potential buyers from all over the world. In addition, the company's development is considered a bit slow. Therefore designed an online sales system by using web or internet media with the aim to minimize sales process time with the aim to increase sales volume so that company earnings can increase. In this study the authors use waterfall and observation methods. In the implementation is displayed login and registration process, inputting: product data, product ordering, sales, payments, complaints, testimonials. It can be concluded that this system get information and reports easily. This system also allows consumers to make purchases of desired products. Controlling in recording and data security can be handled properly because each user has their respective passwords and given a menu in accordance with the process to be executed. Website visitors who do not register as consumers, can still see the products that are sold and also testimonials that have been made by consumer