Journal of Informatics And Telecommunication Engineering
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Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction
Get PDFIndonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naïve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naïve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords – Apple, Avocado, Apricot, Banana, Naïve Bayes, HOG
Design of Simulation Definite Integral Application learning Using Trapezoid Method based on VB.Net
Get PDFThe definite integral is one of the subjects that is difficult for students to understand because the process of calculating definite integral of functions is quite complicated and long because it requires mastery of some integrating rules so an interactive learning simulation application is needed to make it easier for students to calculate definite integral of functions and the depiction of the area the curve. One method for calculating definite integrals is the trapezoid method. The trapezoid method works by dividing the boundary into 2 intervals namely x = x0 to x = x1. Simulation media application learning will be designed with the VB.Net programming language. This simulation media learning starts with reading and checking data input. The process is continued by displaying the depiction of the input curve and ending with calculating the area of the curve. Simulation media learning provides a facility to store the input data, the results of the calculation of the area and the image of the curve function in the image format of * .bmp. In this media, the media and material expert’s the results of the average are produced by 88.68% included into media category is very valid media and the results of pre-test and post-test trials showed an increase with an average value of 48.3 for pre-test and 87 for the post-test of the passing grade requirement of 70.Keywords: Definite Integral, Trapezoid Method,VB.Net, Media Validation
The Application of Fuzzy-Analytical Hierarchy Process Method for Majors Selection at Public Universities
Get PDFThe purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data
Application of Apriori Algorithm Method in Sales Analysis of Mountain Bag Brands in Post Stores 1
Get PDFNowadays, climbing mountains has become a lifestyle for young people. Outdoor industries that produceclothing, bags and sports shoes participate in developing and following the desires of the market. Eachcompany in producing its products has a special brand. Shop Pos 1 is one of the shops that sell variousclimbing equipment commonly used by climbers to climb mountains. In addition, Pos 1 stores also find itdifficult to get updated information about the level of sales per period. Therefore, we need a decision support systems and methods that can be used to determine business strategies that can provide efficientand effective information, namely data mining using a priori technology association methods. The authorchooses mountain bag products only as research material by selecting brands, completing Avtech, Consina,Co-tracks, Cozmed, Eiger, Forester, Rei, Loss. In analyzing the data, the writer uses a priori algorithmcalculation by testing the hypothesis of two variables between the value of support and the value of trust.After that, a priori algorithm is calculated using Tanagra. Based on analysis conducted by the author, theoperator most preferred by climbers is Avtech, Consina, Cozmed. From these results, it can be used by Pos 1to prepare brand inventory of mountain bag products that are widely bought by buyers and increasebrand inventory.Keywords: Bag Brand, Data Mining, apriori algorithm
Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity
Get PDFData security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get face, eyes, nose, and mouth. The image detection results will be calculated the value of the texture characteristics with the GLCM (Gray Level Cooccurrence Matrix) algorithm. Image matching using cosine similarity will determine or match the data stored in the database with new image input until identification results are obtained. The results obtained in this study get the level of accuracy of the identification of the three algorithms by 77.20% with the amount of data that was correctly identified as many as 386 out of 500 images.Keywords: Security, face recognition, Viola-Jones, Cosine Similarity
Decision Support System for Selecting Doorprize Receipt Customers By Applying Promethee I Algorithm
Get PDFDoor prize is a prize given by Bank Mega Syariah for free through a lottery that has the category of a permanent customer. The permanent customer is a person who saves or saves his money in a mega Islamic bank and often deals regularly. This is what triggers Bank Mega Syariah to give awards to customers so that these customers will be more motivated to save at the Mega Syariah Bank. To determine the right decision in the selection of customers who deserve to get a door prize, then this research was conducted by applying the decision support system method with Promethee's Algorithm.Keywords: Decision Support System, Promethee I, and Doorprize
The Application of Mamdani Method for Predicting The Best Portable Computer Based on Hardware and Price
Get PDFA portable computer is a technology tool widely used among students and students. With a very helpful role as in typing needs, presentations, and math calculations. A variety of carry-on computers that many certainly make one difficult to determine a decent and good portable computer to use. In general, in the process of selecting a portable computer, there is no recognized standard to determine the recommended portable computer level. The purpose in this research is to produce predictive values that will be a reference in supporting decisions in determining a portable computer that complies with hardware component criteria and pricing. This study implemented FIS Mamdani models with the analysis stage of the formation of fuzzy sets, application of implications function, rule composition and defuzification. The result of this research is an output of predictive value based on hardware component inputs and prices that will assist the user in supporting decisions in determining the best carry-on computer and according to what they want.Keywords: Predictions, Fuzzy Inference System, Mamdani methods, portable computers, students
Analysis of Technology Acceptance Model Method To Predict A Person's Interest In The Acceptance of A Technology : A Literature Review
Get PDFThe Technology Acceptance Model (TAM) is a model used by researchers to predict and analyse factors that influence a person's interest in a technology. The purpose of this literature review is to find out how the interests of users of an information system are investigated. This literature review is based on a thorough review of the research and a descriptive discussion based on previous studies that investigate the acceptance of an information system. Previous researchers have used good research methods and research steps, so the results of the study can also give an idea of how user interests strongly influence the usefulness and actual actions when using an information system. The results of a systematic review show that the TAM method for predicting an individual's interest in accepting an information technology relationship between constructs used is a determinant that can measure interest in user behavior and also a determinant that can predict and explain interest in user behavior.Keywords: Technology Acceptance Model, Behavior Interests, User Behavior
Implementation Of The SAW Method For Selection Of Best Operational Vehicles
Get PDFOperational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method
Security Design And Testing of Lan and Wlan Network in Mikrotik Router Using Penetration Testing Method FROM Mitm Attack
Get PDFThe growth of device user is always increasing and the costs are not expensive. Users already have several sophisticated end user networking tools for daily use, including laptops, smartphones and tablets. For internet access users use LAN and WLAN network services in several public areas such as restaurants, schools / campuses, hotels and offices. Activities done by the users are data and banking transactions. These activities relate to crucial data such as user data including usernames, passwords, accounts, emails and other sensitive data. Mikrotik Router is a router with an affordable price and complete features for both LAN and WLAN networks so that many administrators use this device. The most common attack used on the network is Man in the Middle Attack, which is actively tapping on the user's network connection, where traffic from the user before reaching the destination or when going through a Mikrotik router will be diverted through the attacker's network without the user's knowledge so that user communication can be read. Therefore a network security system on a Mikrotik router is needed to avoid such attacks. In testing the security system that has been made, it needs the right method, one of which is penetration testing. From the results of testing using the penetration testing method, results and solutions will be obtained to maintain network security.Keywords: Penetration Testing, Man in The Middle Attack, Wireless Security, Router dan Wireless Mikrotik