Journal of Informatics And Telecommunication Engineering
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Design and Build a Network Security System Using Port Knocking, DMZ and IDS Techniques at SMA Negeri 1 Warungkiara
Get PDFThe network security system of SMA Negeri 1 Warungkiara needs improvement to be more effective in safeguarding data integrity and confidentiality. Currently, it only relies on a filter rule security, which is not robust enough to fend off hacker attacks. Therefore, advanced security techniques such as Port Knocking, DMZ, and IDS are required. Port Knocking serves as additional authentication by accessing ports in a specific sequence to prevent unauthorized access. DMZ is used to isolate the internal network from direct attacks. IDS is used to detect suspicious activities and alert the administrator. The system was tested against various attacks such as port scanning, DDoS, and Ping of Death, and it was proven to reduce server resource usage from 34% to 6%. The test results show that this security system provides strong protection and preserves the integrity and confidentiality of data within the school network
Aspect-Based Sentiment Analysis On FLIP Application Reviews (Play Store) Using Support Vector Machine (SVM) Algorithm
Get PDFThe development of fintech has driven the rapid growth of e-wallets like Flip, offering a convenient solution for interbank transfers without administrative fees. User reviews on the Play Store serve as crucial feedback for understanding the user experience. This research utilizes aspect-based sentiment analysis (ABSA) in combination with the SVM method to detect opinions, perceptions, and reviews pertaining to Flip's speed, security, and cost aspects. The objective is to provide valuable insights to both users and companies regarding their experiences with Flip in conducting financial transactions. The study employs a dataset comprising 13,500 preprocessed and cleansed data points, followed by TF-IDF vectorization. The data is divided into training and testing sets, utilizing techniques such as the train-test split and K-Fold Cross Validation to assess model performance. GridSearch analysis reveals that specific parameter combinations, notably C=1.0 and test_size=0.1, yield high accuracy across all aspects, with the linear kernel displaying the highest overall accuracy. Model evaluation is conducted using the confusion matrix and classification report, presenting accuracy, precision, recall, and F1-scores for each aspect. Notably, the Support Vector Machine model performs well, particularly in the speed, security, and cost aspects, where the cost aspect demonstrates exceptionally strong results. In summary, this study employs ABSA to analyze Flip application reviews, with the Support Vector Machine model showcasing impressive performance across various aspects, providing valuable insights for users and companies engaging with Flip's financial transaction services.Keywords: aspect-based sentiment analysis, support vector machine, reviews, Fli
Performance Evaluation Of Variations Boosting Algorithms For Classifying Formalin Fish From Photos
Get PDFFish is one of the foods that are often consumed by humans to complete the protein in the body. Indonesia is rich in animal protein so some rogue traders to avoid losses due to rotten fish, sellers process fish to make it look fresh by fishing with formalin liquids so that buyers think the fish is still fresh, this problem is often found in the market so that it takes the right solution. The solution offered is to apply Machine Learning (Boosting Algorithm) to classify fresh fish and fish that have been planned with formalin by utilizing the extraction of GLCM features. The findings of this study indicate a variation of boosting algorithms can provide solutions to this problem. Accuracy, precision, recall, f1-score, f2-score, and Jaccard score in tilapia fish with a value of 0.95, 0.95, 0.95, 0.95, 0.95, 0.95 this result is obtained by extreme gradient boosting variations with the highest achievements compared to variations Other things are also similar to Tamban fish with a value of 0.78, 0.775, 0.78, 0.825, 0.77, 0.632. The effect of boosting algorithm on the measurement of model performance looks very increased in tilapia fish while in tamban fish do not provide maximum results, but these findings are bette
Development of Mobile-Based Crowdfunding Application
Get PDFCharity is a personality trait shared by those who want to serve others without being asked. Charity has been practiced for a long time all over the world, particularly in Indonesia. Due to the rapid advancement of digital technology, a new route for charitable programs has emerged: crowdfunding. Anyone who wishes to generate funds or make a donation can use crowdfunding. Crowdfunding is a collaborative effort of individuals who network and pool their money, usually over the Internet, to support projects, to help friends, family, or even strangers. The most common barrier that fund seekers experience is publication challenges. Publication is significant in fundraising since it increases the quantity of money raised. This research therefore presents an Android mobile app application that allows users to fundraise for charity activities, make donations to charity projects, search for donation, evaluate them (by interacting with donees), choose one or more charitable program, and make an online payment. This research adopt the Rapid Application Development (RAD) approach to develop this mobile app’s system. The RAD approach enabled the development of the mobile app prototype to be completed quickly and enabled end users to test the mobile app to provide recommendations and make changes easily. Our research contribute to crowdfunding success factors related to publication barrier, user trust, privacy protection, perceived security, information quality
Applications For Detecting The Rate Of Fruit In Mangrove Plants
Get PDFMangrove plants are one of the plants that really help aquatic ecosystems between the sea, coast, and land. Mangrove plants provide many ecological, social, and economic benefits. In Indonesia, mangrove plants have 202 species with the same anatomy as other plants in general, consisting of roots, fruits, stems and leaves. Nowadays, the location of mangrove plants in Indonesia has experienced the fastest damage in the world due to conversion to ponds, settlements, industry and plantations. One of the efforts to restore aesthetic value and restore the ecological function of mangrove forest areas is rehabilitation using mangrove fruit. In the rehabilitation process, farmers generally use the manual method with the naked eye to determine fruit ripeness on mangrove plants, so the resulting level of accuracy is not optimal. To overcome this problem, an application is needed that can facilitate farmers in determining fruit maturity in mangrove plants so that it can help determine the maturity level of mangrove fruit. The development of this application utilizes the Deep Learning method as well as the utilization of digital image processing techniques with Grayscaling, Adaptive Threshold, Sharpening and Smoothing techniques. The results of this study are an application that can detect the level of fruit maturity in mangrove plants with an accuracy of 99.11%. With this application, determining the maturity level of fruit on mangrove plants can be easily done
Web-Based Online Queuing Information System at the Lendang Nangka Health Center
Get PDFThe online queuing system is a system that can make it easier for users through the administration process at the Lendang Nangka health center. However, the system implemented at the health center is still done manually, such as patients coming directly to the health center to register, and officers taking notes, and taking queues. So, this takes a long time and makes the dating patient feel bored and bored. The purpose of this study is to create a web-based online queuing system, system feasibility tester, user response and performance of this system. The model used for this study is ADDIE with five stages, namely analysis, design, development, implementation, and evaluation. Data collection techniques use questionnaires given to system experts and users. Meanwhile, the data analysis is used descriptively and uses the GT Metrix tool to see the efficiency of the system that has been created. Our findings are in the form of a web-based online queue information system that can facilitate the administrative process at this health center. In addition, this system is also categorized as very feasible and has a very high response. This system also includes grade A, where the performance result is 90%, and the structure are 90%. So that the system can help make it easier for patients, staff, and doctors in the administrative process at this health center
Modeling Of Generator Neutral Ground System Using Labview 2017 Application IEEE std C62.92.2TM
Get PDFThe generator is a device for an important source of electrical energy, so the continuity of the generator operation must be maintained and well controlled, in controlling the grounding on the generator can use in control with software such as MATLAB and Modeling the design of the grid grounding system using LabView 2017, Determination of the grounding system for the neutral value of the generator through the distribution transformer, can be done through manual calculation. The use of many parameters considered in the calculation to obtain appropriate and measurable results there is a possibility of repeated calculations. This is very difficult and causes a large difference in calculation results. Therefore, a computer-based computing system is needed to overcome problems like this. Several papers have developed calculations of the amount of generator neutral grounding required that consider the voltage level, short circuit fault current and ground fault protection system. This paper discusses modeling and simulation in designing generator neutral grounding using LabView 2017 application. The goal is to be easier, faster and more accurate. As an implementation of modeling, data from std C62.92.2TM-2017 is used
Performance Analysis of Naive Bayes Variation Method in Spice Image Classification Using Histogram of Gradient Oriented (HOG) Feature Extraction
Get PDFIndonesia has a lot of natural wealth of spices. The diversity of spices is an inseparable aspect of Indonesian history. Spices and seasonings are biological resources that have long played an important role in human life. Indonesian spices have almost the same color and shape. The purpose of this study was to analyze the performance of the Naïve Bayes variation method in classifying spices using a Histogram Of Oriented Gradient (HOG) feature extraction. Based on 3 tests, the performance of the four Naïve Bayes variation methods carried out in this study, it can be seen that testing 5 types of spices using the Gaussian Naïve Bayes method obtained the best performance with an accuracy of 0.946, a precision of 0.95, a recall of 0.945, f1 score of 0.947, f beta score of 0.946, and Jaccard score of 0.90. Where as using the Complement Naïve Bayes method gets the lowest performance. From the results of this study it can be concluded that by utilizing HOG feature extraction and the Naïve Bayes variation method, maximum classification results are obtained in classifying spices. To obtain more accurate classification results, consider using other methods and other feature extractio
Comparative Performance Testing of the Impact of ACK Loss in TCP Tahoe, TCP Reno, and TCP New Reno on the ns-2 Simulator
Get PDFIn TCP/IP networks, TCP provides reliable delivery service with the guarantee that packets sent reach their destination. This is achieved through the use of acknowledgments (ACK) as a mechanism. In TCP/IP networks, TCP provides reliable delivery service with the guarantee that packets sent reach their destination. This is achieved through the use of acknowledgments (ACK) as a mechanism. In all three variants of TCP, they rely on the presence of ACK packets. Therefore, testing will be conducted to observe the effect of ACK loss on TCP performance. The testing involves introducing disruptive traffic on the ACK path with varying magnitudes. This disruptive traffic results in the loss of some ACK packets, depending on the magnitude of the disruptive traffic. The testing was conducted using the ns-2 simulator software. The research findings indicate that the loss of ACK packets leads to a decrease in TCP performance. TCP Reno successfully improves the performance of TCP Tahoe, but the algorithm improvement in TCP New Reno does not have an effect on TCP Reno.
Validation of the Haar Cascade Classification Method in Face Detection
Get PDFAs technology develops, faces are used as a tool for human interaction with computers for security systems. Face detection technology can also provide convenience to users in various fields, especially security systems. However, there are problems regarding accuracy, complexity in the face recognition process so that many methods have been developed to increase the accuracy and complexity of the face detection process. This study aims to validate the haar cascade classification method in detecting faces from various shooting angles, with a distance of one meter from the camera and the respondent is free to make movements as well as various facial expressions and various lighting conditions that are different for each respondent. The results of this study found that the haar cascade classification method showed that the higher the epoch value, the lower the mean square error (MSE). This study also found that the haar cascade classification method has good accuracy for detecting faces from various angles, different lighting and different facial expressions with a maximum distance of one meter from the camera. This study provides recommendations for making face recognition applications using the haar cascade classification method because it can be used well for lighting effects, facial expressions and a maximum shooting distance of one meter