International Journal of Engineering and Computer Science Applications (IJECSA)最新文献

{"title":"Bandwith Optimization on Hotspot using PCQ Method And L2tp VPN Routing for Online Game Latency","authors":"Usman Affan, Khairan Marzuki, Lalu Zazuli Azhar Mardedi","doi":"10.30812/ijecsa.v1i2.2379","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i2.2379","url":null,"abstract":"VPN L2TP (Layer 2 Tunneling Protocol) is available on one of the services at Mikrotik. L2TP is a development of PPTP and a combination of L2F. The network security protocol and encryption used for authentication is the same as PPTP. However, to communicate, L2TP requires UDP port 1701 so that the security is better, L2TP is connected to IPSec to L2TP/IPSec. An example of its use is for the Windows operating system, which by default the Windows OS uses L2TP/IPSec. However, the consequences in terms of configuration are not as simple as PPTP. The client side must also support IPSec when implementing L2TP/IPSec. In terms of encryption, of course, encryption on L2TP/IPSec has a higher level of security than PPTP which uses MPPE. Traffic passing through the L2TP tunnel will experience overhead. The L2TP protocol is more firewall friendly than other types of VPNs such as PPTP. This is a big advantage if using this protocol, because most firewalls do not support GRE. However, L2TP does not have encryption, so it requires additional services to support higher security. So the author concludes that it will be easier to configure with online games. Online game is a type of computer game that is currently growing and requires a computer network . The networks that are usually used are internet networks or internet wifi and the like and always use current technology, such as modems and cable connections. Therefore, internet service providers (ISPs) must provide stable and fast internet quality. Bandwidth Needs Online games must be supported by an internet network that supports the speed and stability of the internet connection, especially the stability of the latency of the online game itself","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116569063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing a Honey Quality Tool Based on Gas Sensor and Color Sensor","authors":"Al Bima, Sirojul Hadi, M. N. Fadli, Nurul Hidayah, Lalu Danu Prima Arzani","doi":"10.30812/ijecsa.v1i2.2407","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i2.2407","url":null,"abstract":"Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingredients that are very beneficial for the health of the body. Testing the authenticity of honey using two sensors, namely a gas sensor and a color sensor, the tool has been connected to a database and web application to display test data. The web application can be accessed from any location as long as it is connected to the internet network. The results of the research are the ideal distance for measurements is carried out as far as 2 cm. The success rate in testing pure honey with a mixture of honey has different values, such as the value of pure honey has a gas sensor voltage of 3.3 volts while the value of mixed honey with 50% pure honey and 50% sugar, the value of the gas sensor voltage is 2.54 volts. Mixed honey has a voltage below 3 volts. The results of the color sensor test, namely the sensor output have different values, the RGB value for pure honey is red 206, green 246, and blue 182 while the RGB value for mixed honey is for 20% pure honey and 80% sugar mixture produces an RGB value of Red 156, Green 210, Blue 171. The color sensor can distinguish between real honey and mixed honey for trigona honey.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128124596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Web-Based Application for Toddler Nutrition Classification Using C4.5 Algorithm","authors":"H. Hairani, Lilik Nurhayati, Muhammad Innuddin","doi":"10.30812/ijecsa.v1i2.2387","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i2.2387","url":null,"abstract":"Health is something that is important for everyone, from year to year various efforts have been developed to get better and quality health. Good nutritional status for toddlers will contribute to their health and also the growth and development of toddlers. Fulfillment of nutrition in children under five years old (toddlers) is a factor that needs to be considered in maintaining health, because toddlerhood is a period of development that is vulnerable to nutritional problems. There are more than 100 toddler data registered at the Integrated Healthcare Center in Peresak Village, Narmada District, West Lombok Regency. The book contains data on toddlers along with the results of weighing which is carried out every month. However, to classify the nutritional status of toddlers, they are still going through the process of recording in a notebook by recording the measurement results and then looking at the reference table to determine their nutritional status. This method is still conventional or manual so it takes a long time to determine the nutritional status. Therefore, the solution in this study is to develop a web-based application for the classification of the nutritional status of children under five using the C4.5 method. The stages of this research consisted of problem analysis, collection of 197 instances of nutritional status datasets obtained from Integrated Healthcare Center Presak, analysis of system requirements, use case design, implementation using the C4.5 method, and performance testing based on accuracy, sensitivity, and specificity. The results of this study are a website-based application for the classification of the nutritional status of children under five using the C4.5 method. The performance of the C4.5 method in the classification of the nutritional status of toddlers using testing data as much as 20% gets an accuracy of 95%, sensitivity of 100%, and specificity of 66.6%. Thus, the C4.5 method can be used to classify the nutritional status of children under five, because it has a very good performance.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization of Gastric Acid Reflux Using Mobile-Based Augmented Reality","authors":"Ahmat Adil, B. K. Triwijoyo, Miftahul Madani, Lalu Riyandi Damar","doi":"10.30812/ijecsa.v1i2.2370","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i2.2370","url":null,"abstract":"Interactive information media has many benefits in the process of conveying information, one of which is by visualizing objects in real time. Socialization activities at the Rensing Health Center in conveying information on gastric diseases still do not use visual aids as a medium for delivering counseling. Therefore, this study aims to develop information media in the form of an android application by utilizing Augmented reality (AR) technology to show the stomach acid process in real time which is visualized in the form of 3D animation. The method used in application development is Multimedia Development Life Cycle (MDLC). Where this method consists of 6 (six) stages of development, namely concept, design, Material Collecting, Assembly, testing and distribution. The results of this study are a visualization application of gastric acid reflux using mobile-based augmented reality built using Unity 2017.3.1f1 and the Vuforia Software Development Kit (SDK), with several stages of the process, namely entering the database and all assets into unity, lighting, creating a user interface, scripting and finally build the application to the android platform Based on the results of application trials that have been carried out at the Rensing Health Center, it shows that mobile-based augmented reality has succeeded in assisting officers in visualizing gastric acid reflux. The satisfaction of health officers in using the application can be seen from the results of the questionnaire to the respondents, where the results of the questionnaire 32% stated strongly agree, 59% agreed, 6% disagreed and 2% disagreed.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124669715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential of Cari Rumah Software to Brings House Product Consumer and Digital Marketing Tool","authors":"A. pribadi","doi":"10.30812/ijecsa.v1i2.2400","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i2.2400","url":null,"abstract":"Growth of residential areas in the city of Mataram and its surroundings has a tendency to continue to increase. The growth of residential areas is in line with population growth which reaches 1,842%. Emergence of new residential areas in the city of Mataram and its surroundings involve a lot of amount of housing developer companies. Wide distribution of new residential/housing areas has in potential consumers having to make special efforts to obtain information on the purchase of new house. Cari Rumah software provides online search services for new residential products to the public using smartphone devices. The software makes it easier for prospective consumers to get information on new residential products without having to go to the marketing office of housing developer companies one by one. On the other hand, Cari Rumah software can also function as a means of marketing new residential house products by housing developer companies. \u0000Cari Rumah software offers convenience in finding new residential house product provided by housing developer companies. The content owned by the Cari Rumah software has the possibility as a means of digital marketing in addition to the function of helping potential consumers. This search study aims to find out the potential of the Cari Rumah software to meet the information needs of potential consumers and possibilities be used as a means of digital marketing. Method used is an impression test of the Cari Rumah software. The main stages of this method are gathering information, impression test, and potential conclusion. Results obtained indicate that the Cari Rumah software is not sufficient to meet the information needs for users / potential consumers of residential house product. However, 83.94% of users of the Cari Rumah software recommend to developer criteria features. Potential use of the Cari Rumah software as a digital marketing tool only reaches 20.15%.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127149937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optic Disk Segmentation Using Histogram Analysis","authors":"B. K. Triwijoyo","doi":"10.30812/ijecsa.v1i1.1799","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1799","url":null,"abstract":"In the field of disease diagnosis with ophthalmic aids, automatic segmentation of the retinal optic disc is required. The main challenge in OD segmentation is to determine the exact location of the OD and remove noise in the retinal image. This paper proposes a method for automatic optical disc segmentation on color retinal fundus images using histogram analysis. Based on the properties of the optical disk, where the optical disk tends to occupy a high intensity. This method has been applied to the Digital Retinal Database for Vessel Extraction (DRIVE)and MESSIDOR database. The experimental results show that the proposed automatic optical segmentation method has an accuracy of 55% for DRIVE dataset and 89% for MESSIDOR database","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128576940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation Of The Simple Additive Weighting Method At Universitas Terbuka Mataram For New Employee Recruitment","authors":"Husain Husain, Heroe Santoso, Helna Wardhana, Muhammad Irwan Ardiasyah, N. Fitriani","doi":"10.30812/ijecsa.v1i1.1814","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1814","url":null,"abstract":"An agency will thrive if it is supported by qualified employees. So that employees are certainly one of the most important assets in an institution, both private and public institutions, so that agencies are required to recruit prospective contract employees who have competence and talent to support the implementation of work at the Open University of Mataram City. Skilled workers who can bring institutions forward and compete with other agencies so that they can keep up with the times, and the recruitment aspect is starting to get a special view, because the recruitment process is not in accordance with the needs at the Mataram Open University so that it can hinder the rate of development of the agency itself. Therefore, a decision support system is needed for the contract employee recruitment process at the Universitas Terbuka Mataram. Therefore, a decision support system is needed for the contract employee recruitment process at universitas Terbuka Mataram campus. This decision support system uses the Simple Additive Weighting SAW method. In this case, prospective employees are compared with one another so as to provide an output value of priority intensity which results in a system that provides an assessment of each employee. This decision support system helps evaluate each employee, make changes to the criteria, and changes the weight values. This is useful to facilitate decision making related to employee selection issues, so that the most appropriate employees will be received in the company. The purpose of this study was to select the best candidate for employees at the Universitas Terbuka Mataram. The results of this study indicate that the SAW method is appropriate for selecting the best prospective employees because it can obtain qualified employees in accordance with the expectations of the company and the leadership.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121591591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Home Security Voice Notification System With Arduino Sensor, PIR based SMS Gateway","authors":"Muh Thariq Ali Mujitomo, Heroe Santoso, Lilik Widyawati, Dadang Priyanto","doi":"10.30812/ijecsa.v1i1.1793","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1793","url":null,"abstract":"The level of crime that afflicts households such as theft and robbery is still common. Many thefts occur when the homeowner is away and the house is staying for a long time. Although some residential neighborhoods already have security officers, human limitations can be a gap for perpetrators of theft. To overcome this, we need a guard who is always there to monitor the house to avoid theft. In this case the risk of guards on duty to guard the house is very large, such as acts of theft accompanied by violence. The design and manufacture of this system uses the Network Development Life Cycle (NDLC) method. NDLC is a method that relies on previous development processes such as business strategy planning, application development lifecycle, and data distribution analysis. There are 6 stages in the Network Development Life Cycle (NDLC) namely Analysis, Design, Simulation Prototyping, Implementation, Monitoring, Management. The purpose of this research is Designing a home security system that can guard the house in real time and can be accessed remotely. The conclusion of this research is that the entire system is proven to be able to work in detecting, giving warnings, and making calls to the user.Network Development Life Cycle (NDLC) namely Analysis, Design, Simulation Prototyping, Implementation, Monitoring, Management. The purpose of this research is Designing a home security system that can guard the house in real time and can be accessed remotely. The conclusion of this research is that the entire system is proven to be able to work in detecting, giving warnings, and making calls to the user.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121571173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Electricity Usage with Back-propagation Neural Network","authors":"H. Hairani, Anthony Anggrawan, M. Candra","doi":"10.30812/ijecsa.v1i1.1722","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1722","url":null,"abstract":"The use of electricity has become a need that is increasing day by day. So it is not surprising that the problem of using electricity has attracted the attention of many researchers to research it. Electricity users make various efforts and ways to save on the use of electrical energy. One of them is saving electricity usage by electricity users using electrical energy-efficient equipment. That is why the previous research confirms the need for interventions to reduce the use of electrical energy. Therefore, this study aims to predict electricity use and measure the performance of the anticipated results of electricity use. This study uses the back-propagation method in predicting the use of electricity. This study concluded that the backpropagation architectural model with better performance is the six hidden layer architecture, 0.4 learning rate, and the Root Means Square Error (RMSE) value of 0.203424. Meanwhile, the training data test results get the best architectural model on hidden layer 8 with a learning rate of 0.3 with an RMSE performance value of 0.035811. The prediction results show that the prediction of electricity consumption is close to the actual data of actual electricity consumption.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ensemble Implementation for Predicting Student Graduation with Classification Algorithm","authors":"R. Rismayati, Ismarmiaty Ismarmiaty, Syahroni Hidayat","doi":"10.30812/ijecsa.v1i1.1805","DOIUrl":"https://doi.org/10.30812/ijecsa.v1i1.1805","url":null,"abstract":"Graduating on time at the higher education level is one of the main targets of every student and university institution. Many factors can affect a student's length of study, the different character of each student is also an internal factor that affects their study period. These characters are used in this study to classify data groups of students who graduated on time or not. Classification was chosen because it is able to find a model or pattern that can describe and distinguish classes in a dataset. This research method uses the esemble learning method which aims to see student graduation predictions using a dataset from Kaggle, the data used is a IPK dataset collected from a university in Indonesia which consists of 1687 records and 5 attributes where this dataset is not balanced. The intended target is whether the student is predicted to graduate on time or not. The method proposed in this study is Ensemble Learning Different Contribution Sampling (DCS) and the algorithms used include Logistic Regression, Decision Tree Classifier, Gaussian, Random Forest Classifier, Ada Bost Classifier, Support Vector Coefficient, KNeighbors Classifier and MLP Classifier. From each classification algorithm used, the test value and accuracy are calculated which are then compared between the algorithms. Based on the results of research that has been carried out, it is concluded that the best accuracy results are owned by the MLPClassifier algorithm with the ability to predict student graduation on time of 91.87%. The classification model provided by the DCS-LCA used does not give better results than the basic classifier of its constituent, namely the MLPClassifier algorithm of 91.87%, SVC of 91.64%, Logistic Regression of 91.46%, AdaBost Classifier of 90.87%, Random Forest Classifier of 90.45% , and KNN of 89.80%.","PeriodicalId":333075,"journal":{"name":"International Journal of Engineering and Computer Science Applications (IJECSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131671993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}