Journal of Computer Networks, Architecture and High Performance Computing
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Case Study: Mobile-Based Application for The Election of The Student Council President in Tegal City
Get PDFThe development of information technology at this time has brought big changes for humans, including the way to implement voting. The use of computer technology in the conduct of voting is known as electronic voting (E-Voting). With e-voting, the voting process and vote counting have become more effective and efficient. Election of the head of the student organization at school (OSIS) is an annual event that is held regularly at schools. However, elections are still carried out traditionally. In fact, in the technological era, it should be made more practical. This article discusses the making of a mobile-based application for the student council president election in schools in the city of Tegal. The method used is Waterfall. The resulting mobile application is an application that can be used by the school to make elections, where students can choose directly using a smartphone. The blackbox test results show that the application made is in accordance with the initial design. The whitebox test results show that the application has not found an error. As for the usibility test results, the application made was accepted 80%. However, the user does not like the application interface display with a satisfaction score of only 60%
Door Security Design Using Fingerprint and Buzzer Alarm Based on Arduino
Get PDFThe level of crime of theft in people's homes from time to time is increasing and increasingly unsettling for many people and various groups, from leading sources claiming that there has been an increase in theft in people's homes from the previous year, by conducting research objects in the community by identifying existing problems. It can be concluded that this happens because the house door security system still uses conventional which is classified as unsafe or easily broken into, by carrying out research method steps in the form of analysis and data collection and in the form of designing tools by describing some of the main supporting tools that the problem can be minimized by using technology that is currently developing that is already well systemized, namely using a microcontroller or Arduino as the main control center, assisted by using a fingerprint sensor as a process for recording and identifying fingerprints and NodeMCU for to connect to a WiFI network where later on that the door can also be controlled using android via a wifi network as a remote control and an alarm buzzer which will function if when the fingerprint identification process fails, the alarm will sound as a warning sign, it will be concluded to design a door safety device using arduino based fingerprint and alarm buzzer for better system. Which only fingers that have been registered and registered android can open the door. This research is expected to be able to optimize door security in people's homes to avoid crimes such as thieves
Centralized and Mapped GIS Web-Based Covid-19 Data Reporting Application with The Waterfall Method: (Case Study: Information Communication Department of North Sumatra Province)
Get PDFCovid-19 pandemic cases are currently increasing and expanding throughout the world, especially in Indonesia in the province of North Sumatra. Data on the number of cases spread in the province of North Sumatra which is summarized and published, sometimes there are still disputes over the number and lack of organization in the number of records and their distribution, so there are often errors in the data collected by the health department and which will be published to the public. The case study in this research is the design of an information system that regulates the process of recording, moving, accumulating, and mapping GIS data maps to the publication of Positive case data, Patient Under Surveillance, Polymerase Chain Reaction, and Rapid Test results directly through a web-based covid-19 data reporting application. Sourced from each user of every health facility in each district and city from each sub-district in the province of North Sumatra to support the accuracy of data in decision-making built at the North Sumatra Province Information and Communication Office. The method used in developing the application uses the waterfall method, starting from the needs analysis stage, design, implementation to testing until maintenance. The results of the implementation and testing were carried out using the Blackbox and Whitebox methods. Presentation of GIS web data using google maps has not used a threshold value based on a calculated algorithm, but still uses the determination of crisp values so that the results cannot be said to be relevant as a determinant
Rain Monitoring System for Nutmeg Drying Based on Internet of Things
Get PDFOne of the stages in drying the nutmeg is drying the nutmeg in the afternoon which is directly illuminated by the sun. The nutmeg owners in South Aceh is very difficult to get information about rain falling during the day if they are outside or are not in the nutmeg drying area. The process of monitoring the occurrence of rain during the drying of the nutmeg has been done manually by monitoring or seeing the state of the sky when it is cloudy. The purpose of this research is to create a rain monitoring system based on the “Internet of things” internet to make it easier for nutmeg owners to get information about rain falling from a distance. This research uses nodeMCU which functions as a controller of a rain monitoring system, a raindrop sensor as a rain detection sensor. The working system of the rain monitoring tool is by connecting the nodeMCU to the led light and if the raindrop sensor is exposed to rain then the led light will turn on or light up and the raindrop sensor reads the data point. If the data point is read 1024, it indicates that the condition is not raining, while if the data point value is 700 -1023, it indicates the condition of the drizzle, and the data point value from 0-600 indicates the heavy rain condition. The raindrop sensor sends data points to the ThingsIO.AI website as a condition notification that the nutmeg drying area is drizzling, heavy rain, or no rain. For monitoring of nutmeg drying area, it can be accessed remotely via the “website ThingsIO.AI” using smartphones and computers that are connected by the internet. Based on the results of testing the average data point delivery time is 1 minute and the value of the data point obtained is 488-100
Decision Support System Determining Computer Virus Protection Applications Using Simple Additive Weighting (SAW) Method
Get PDFThe use of information technology devices such as computers or laptops is currently increasing. The increased use is due to the fact that these devices are very supportive of our daily work activities. With the increasing use of these computers, data security on a computer or laptop device must be completely safe from virus attacks. To ward off viral attacks m aka requires the application of anti-virus to inhibit and prevent a variety of viruses that enter into the computer system so that the computer user's activity was not bothered by the many viruses are easily spread. Because there are too many antiviruses on the market, it is necessary to choose a good antivirus. One of the ways to choose antivirus is the existence of a decision support system . In this study, the Simple Additive Weighting (SAW) method was applied for the anti-virus application selection system. This data assessment analysis aims to produce the best anti - virus application options that computer users can use to secure their computer data. The criteria and weights used are K1 = application rating (5%) , K2 = completeness of features (30%) , K3 = price / official license (5%) , K4 = malware detection (45%) and K5 = blocking URL (15%). Of the 25 alternatives used, the results of the study, namely alternative A1 = Kaspersky anti-virus get the highest ranking result
Design of Expert System for Diagnosis of Gonorrhea Disease by using Web-Based Naïve Bayes Method
No full textGonorrhea is a sexually transmitted disease caused by the bacterium Neisseria gonorrhea that infects the lining of the bladder, cervix, rectum, throat, and the whites of the eyes. This disease is spread through the bloodstream to other parts of the body, especially the skin and joints and is generally transmitted through sexual contact. Gonorrhea not only affects adult men and women, but babies and even newborns can get gonorrhea from their mothers. An expert system is a system that seeks to adopt human knowledge into computers, so that computers can solve problems like an expert. With this expert system, the public can obtain information or can solve the problems they face which can only be obtained with the help of experts in their fields. This study explains how the expert system diagnoses Gonorrhea using the Naïve Bayes method. By using the Naïve Bayes method, it can predict future probability values based on previous experiences experienced by people with gonorrhea, Document classification can be personalized, tailored to the needs of each person. By using this expert system application, it can provide information and make it easier for the public to be more familiar with Gonorrhea and can handle problems based on the expertise of doctors who are experts in their fields. This expert system can provide solutions and prevention of gonorrhea disease with the diagnosis process carried out efficiently and save time in helping the community in the prevention that occurs. This web-based expert system application is built with the PHP programming language and MySQL data storage
College Ranking Analysis Using VIKOR Method
Get PDFCollege ranking is the main thing used as a basis to attract prospective new students. Prospective new students will generally look for related information from which universities are the best to choose in the future. In the ranking of universities based on the official page of the Ministry of Research, Technology and Higher Education, the ranking of universities, both public and private, can be a reference for recruiting prospective students. The better the college ranking, the more attractive prospective new students are. To determine the ranking of a university, a decision support system is needed. There are many methods available from the decision support system, but in this study, the author will use the VIKOR method (Visekriterijumsko Kompromisno Rangiranje), which is part of the MCDM (Multi-Criteria Decision Making), as a solution to these problems. The VIKOR method is a multi-criteria optimization method that can be used on fairly complex systems. In this study, the sample data used came from 10 universities in the city of Medan, where the initials of each naming were colleges A to J. From the results of research analysis using the VIKOR method, the ranking results were as follows, where college B got the first rank with the lowest score of 0. Then the second rank was college G and in the third rank was college H with each score of 0.248211396 and 0.304702661. For the fourth, fifth, sixth, seventh to tenth ranks, they are sorted from colleges A, I, C, E, F, D, and J
Information Technology Governance Analysis Of Stmik Palcomtech In The New Normal Era Using Cobit 2019 Method
Get PDFThe pandemic conditions experienced by the world today inevitably force us to practice social distance so that gatherings involving large numbers of people must be avoided first. In universities, especially in the city of Palembang, the use of information technology and learning media is mandatory due to the decision of the minister of education which requires universities to carry out online learning activities. So that information technology governance during a pandemic also has a major influence in the implementation of teaching and learning activities in universities to ensure the quality of the learning and teaching process carried out so that it must be known the shortcomings and advantages of governance which is carried out by conducting further analysis of technology governance in accordance with with the initial goal of education at the university. The method that can be used is to apply the Cobit 2019 where with this method the current maturity level can be known in the application of information technology. The research method in this study uses a descriptive-quantitative method by describing the indicators used as the basis for measurement taken by the Cobit 2019 literature. This study discusses information technology governance form of Design Factor 1 (Enterprise Strategy) to Design Factor 10 (Technology Adoption Strategy) with the result that there are 13 important processes out of 40 total processes in the Cobit 2019 domain that must be considered at STMIK Palcomtech, namely EDM03, APO08, DSS05 EDM02, APO04, APO09, APO12, APO13, BAI01, BAI02, BAI03, BAI06 , MEA0
Lecturer Attendance System using Face Recognition Application an Android-Based
Get PDFIn the field of industries, businesses, and offices the use of security systems and administrative management through data input using a face recognition system is being developed. Following the era of technological advances, communication and information systems are widely used in various administrative operational activities and company security systems because it is assessed by using a system that is based on facial recognition security levels and more secure data accuracy, the use of such systems is considered to have its characteristics so it is very difficult for other parties to be able to engineer and manipulate data produced as a tool to support the company's decision. Related to this, causing the author is to try to research the detection of facial recognition that is present in the application system through an Android device, then face recognition detection will be connected. and saved to the database that will be used as data about the presence of teaching lecturers. Using the local binary pattern histogram algorithm method to measure the face recognition system that can be applied as a technique in the attendance system of lecturers to be more effective and efficient. Based on testing by analyzing the false rate error rate and the false refusal rate can be seen that the average level of local binary pattern histogram accuracy reaches 95.71% better than through the Eigenface method which is equal to 76.28%
Application of The Levenberg Marquardt Method In Predict The Amount of Criminality in Pematangsiantar City
Get PDFCriminality is an act that violates the law that can disturb society and even harm society both economically and psychologically. The number of crimes cannot be ascertained over time because the numbers are uncertain. So that the police have difficulty in overcoming criminal acts. With this research, the police can find out the number of criminals that will occur through the prediction that has been made. So that the police can prevent the number of criminals and increase security in Pematangsiantar city. This study uses an artificial neural network with the Levenberg Marquardt method. The research data is sourced from the Pematangsiantar Police Criminal Investigation Agency (Reskrim) in 2014-2019. The data is divided into 2 parts, namely training data and testing data. There are 5 architectural models used in this study, namely 3-30-1, 3-31-1, 3-32-1, 3-36-1 and 3-38-1. Of the 5 architectural models used, the best architecture is 3-36-1 with an accuracy rate of 85%, MSE 0.1465119, and a maximum iteration of 10000, the results obtained from the best architecture in 2020 are 85% with the number of criminals 394 people, in 2021 it is 62 % totaled 238 people, in 2022, namely 69% amounted to 170 people, so this model is good for predicting the number of crimes in Pematangsiantar City