Penentuan Penerima Bantuan Rumah Tidak Layak Huni Menggunakan Metode Simple Additive Weghting

Uninhabitable Housing Assistance (RTLH) is a government program which distribute to village office, it has purpose to improve the life quality of community. Poor people can life convenient with Uninhibitable Houses Assistence. Determination of social assistence construction of Uninhabitable Houses is going to do by relying on the intitution. The purpose of this research is creating a decision support system that can help to determine the appropriate poor people are receiving social assistence of Uninhabitable House (RTLH) using simple additive weighting (SAW) method. It is used the creteria such as, the monthly income, the occupation, the total of burden, the condition of house wall, the condition of house floor, the condition of house roof, and the condition of bathroom. The result of this research is the beneficial system for receiver of Uninhabitable Houses.

Analisa Perbandingan Squid 2.7, Squid3, Dan Squid Lusca Sebagai Cache Proxy Server Pada Ubuntu Server

RT/RW Net Joho Baru is one of the internet service provider organizations. As one of the growing internet service provider RT/RW Net Joho Baru has to give the best and the quickest services to the customers. So that it need appropriate technology which is support to the best networks to give good services to the customers. The Important factors are cost and speed factors which related to the material efficiency and time. This research is comparing about proxy server operating systems such as Squid 2.7, Squid3, and Squid Lusca, so that it can easier to find out the appropriate operating systems to build the best network. SDLC Method has several steps. The first step is the analysis of feasibility study which included software and hardware. The second step is the analysis of needs which is planning relate to the system project. Then network planning design is going apply. Next, continuing design system to system testing. Based on these steps, the proxy server is successfully to shorten time management on accessing the website. The results of the efficiency acquisition are Squid 2.7 at 75,1%, Squid3 at 83,5%, and Squid Lusca at 86,9%.

Measuring User Satisfaction Online-KRS Using End User Computing Satisfaction Method

Evaluation of User Satisfaction with the Online KRS System at XYZ Health College using the End User Computing Satisfaction method. XYZ Health College in the KRS process has been supported by the KRS Online information system, but the KRS Online user satisfaction level has never been measured. The purpose of this study was to determine the level of user satisfaction of KRS Online College of Health XYZ in terms of several factors, namely content, accuracy, form, ease of use, and timeliness in assessing user satisfaction of KRS Online. The results of the research using instrument tests, data quality tests, multiple linear regression analysis, coefficient of determination, t test and f test are known based on the results of the analysis that the effect of the independent variable on the dependent variable is expressed by the coefficient of determination (R2) which is 0.471 or 47.1% . And the value > Fcount (13.904) > Ftable (2.76) so that the content, accuracy, form, ease of use and timeliness together have an effect on satisfaction.

Implementasi Metode Penghalusan Ekponensial Tunggal Dalam Prediksi Penjualan Buku

The prediction of the quantity of product sales in the future is intended to control the amount of existing product stock, so that product shortages or excess stock can be minimized. When the quantity of sales can be predicted accurately, the fulfillment of consumer demand can be sought on time and the cooperation of the store with the relationship is maintained well so that the store can avoid losing both sales and consumers. The purpose of this study is to compare the effectiveness of the use of the Single Exponential Smoothing method and methods Double Exponential Smoothing with a smoothing parameter value a = 0.5 for forecasting sales by comparing the error values in the two methods using the Mean Squared Error (MSE) method, the MSE results of the Single Exponential Smoothing method is 4967.75 while the MSE Double Exponential Smoothing is 5113.03. Thus, the Single Exponential Smoothing method is more accurate than Double Exponential Smoothing in calculating book sales forecasting because it has a low MSE value.

Metode K-Means Untuk Pemetaan Persebaran Usaha Mikro Kecil Dan Menengah

Developments in the current era of globalization are very dependent on the economic sector which is the benchmark of success carried out by the government. The role of the community in national development in the economic field is the existence of Micro, Small and Medium Enterprises (MSMEs). To increase the role of MSMEs as a benchmark for the success of the economic sector, there must be support from the government, such as assistance for business owners with limited costs. The purpose of this study is to determine community business groups as a measure of the level of business, making it easier for the government to provide assistance. The K-Means Clustering method is a method used for grouping business levels based on the income that exists in today's society. The result of this research is a website-based business-level grouping system used by the Cooperatives and SMEs Office by grouping them into micro, small and medium-sized businesses based on income/assets.

Application Of Fuzzy C-Means Clustering for Mapping Agent

Strict business competition in the field of mountain equipment providers and selling the same product makes the mapping of onsight agents needed to determine the priority of agents prioritized. Fuzzy C-means is one of the data grouping techniques in which the existence of each data point in a cluster is determined by the level of membership. The purpose of this study is to design and make applications for grouping agents. The research method used is direct interview to obtain information in the form of ordered item data. The design model uses the System Development Life Cycle (SDLC). The system design method used is the Unified Modeling Language (UML). Agent mapping system with web-based fuzzy c-means clustering uses the PHP and MySQL programming languages as the database. The results of this study are in the form of three data clusters that can be used to support decisions for priority and from 30 data agents, the first cluster consists of 15 agents, the second cluster consists of 1 agent, and the third cluster consists of 14 agents

Analisis Forensik Pada Aplikasi Peduli Lindungi Terhadap Kebocoran Data Pribadi

PPeduli Lindungi Application is an application coming from the Ministry of Communication and Information Technology Indonesia which has function to tracking and stop spread of Coronavirus Disease (COVID-19). Its application has personal data which includes, registration number, date of birth, full name, address and telephone number. However, Peduli Lindungi Application is one of the factors which are caused of personal data breach. Digital forensics is a scientific field that has functions to find out facts and finding a crime case. It wishes that will get directions whether this application is safety or not. The researchers hope that the people will not be afraid to use Peduli Lindungi Application and also can support the government programs to prevent the spread of Covid-19. The result of forensic analysis with static and dynamic analysis models, it shows that Peduli Lindungi Application is safe to used and it is not as dangerous applications. The results of this analysis show that Peduli Lindungi application has their own permission configurations based on the users. There is no malware in the script or activities and there is no database and data stored in smartphone memory as well as some encrypted program data. Personal data breach is caused by lacking of people knowledge to protect their personal data. Moreover , sometimes people forget to protect their security of their smartphones.

Sistem Pengelompokan Siswa Berdasarkan Tingkat Kedisiplinan Menggunakan Metode Naïve Bayes Classifier

Discipline is a very important thing in the educational process. Discipline will succeed if it is applied to students correctly. Student discipline is that every student follows every rule and order that has been set by the school. At SMK Muhammadiyah 2 Sukoharjo student discipline. Declining discipline at SMK Muhammadiah 2 Sukoharjo is marked by the increase in points of violation from students. The purpose of this study was to apply the nave Bayes method in the classification of student discipline levels at SMK Muhammadiyah 2 Sukoharjo. With this information will be obtained that can be used for information on which students need to be given Counseling Guidance to provide direction and guidance to students. The attributes used are cases of fights, not attending apples, not carrying out picket, not entering without explanation, arriving late, noisy in class. Test results with 490 records with a portion of 75% training data and 25% test data. And produces an accuracy of 76%.

Penerapan Navmesh Dengan Algoritma A Star Pathfinding Pada Game Edukasi 3d Go Green

Cleanliness is one of the requirements to create a healthy living environment. But in reality, not everyone have a concern for environmental hygiene and health. For this reason, learning about the importance of caring for environmental cleanliness must be instilled early on. One interesting method to provide learning about environmental cleanliness can be through games. With the 3D visualization of this environmental cleanliness game, it is an effort to raise awareness of the importance of environmental hygiene and health in the community. The location used in making this game is Campus 1 Poltekkes Surakarta. The purpose of this study is implementation of Navmesh with the A Star (A*) Pathfinding Algorithm on the characters so that players can find the trash location point and the location point of the tree with the shortest route. Making this game uses the GDLC (Game Development Life Cycle) method with stages of Initiation, Pre Production, Production, Testing, Beta and Release. This game can be played on desktop and mobile devices. The results of the research that has been done are seen from the algorithm simulation testing is the nodes that are passed by as many as 50 nodes, where there are duplicate data as many as 7 nodes due to real time systems that read nodes over and over. Thus, the application accuracy rate reaches 86%.Keywords: Educational Games, A * Pathfinding, Navmesh

Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes

Humans being are faced with non-natural disasters which have bad effect for population on the world. This non-natural disaster is called Corona Virus Disease (COVID-19). This COVID-19 will become a pandemic in 2020. This types of COVID-19 is coming from the Orthocronavirinae. It belongs to the Coronaviridae and the Nidovirales. This type of that virus has caused some disease to birds, mammals and also human being. Therefore, the research was conducted. The result of this research will give the information about system which related the classification human being according to their transmission to the body. This research used naïve bayes method. The result of this research is diagnostic system with the level of accuracy 94%. Thus, COVID-19 diagnostic expert system used to know the level of COVID -19 infections to human being. It can help the user knowing the next treatment.Keywords : Expert System, Naïve Bayes, Coronavirus, Covid-19