Plagiarism is the act of taking part or all of one's ideas in the form of documents or texts without including sources of information retrieval. This study aims to detect the similarity of text documents using the cosine similarity algorithm and weighting TF-IDF so that it can be used to determine the value of plagiarism. The document used for comparison of this text is an abstract of Indonesian. The results of the study, namely when stemming the similarity value is higher on average 10% than the stemming process is not done. This study produces a similarity value above 50% for documents with a high degree of similarity. Whereas documents with low similarity levels or no plagiarism produce similarity values below 40%. With the method used in the preprocessing consisting of folding cases, tokenizing, removeal stopwords, and stemming. After the preprocessing process, the next step is to calculate the weighting of TF-IDF and the similarity value using cosine similarity so that it gets a percentage similarity value. Based on the experimental results of the cosine similarity algorithm and weighting TF-IDF, it can produce similarity values from each comparative document
RT047/RW008 or Jl. Aries is a Neighborhood Association located in Sungai Besar Village, Banjarbaru City, South Kalimantan province. Within this RT environment, weekly and monthly activities are often held. One of the activities in this area is the monthly waste fee. This activity has been around for a long time when this environment was formed. However, in this monthly waste fee activity, we still use the recording method by recording data on a physical citizen membership fee card. In addition, the manufacture of this garbage contribution card still uses the service of making a contribution card which requires traveling and also incurs some costs. In the process of monthly waste contribution activities, it often results in the loss or damage of the citizen membership dues card, in which the treasurer has to make another card at the contribution card making service. Based on the problems found, a solution to the problem that can be found is to design an Android-based application that can run on Android Smartphone devices. This application will be designed using the Rapid Application Development method which will go through the process of data collection to application design. This application can perform the administrative process of digital waste dues. In addition, in the application there is also a reminder feature that will be sent to Whatsapp for every registered member of the group. Because this application runs on Android Smartphone devices, it can make it easier for users to input data and change data anywhere and anytime. The method used for designing this application is to analyze to find out what is needed in an application that you want to build. The final result of the implementation process in the form of Java programming and test results by users. By using the white box testing and black box testing methods, the result is that the application can run well and in accordance with the needs required by the user. With this android application, the RT environment can be more focused and become an RT that can be in line with current technological developments
Public transportation as one of the most easily found transportation for tourists to visit a tourist destination. There are 12 public transportation lines in Magelang. The large number of public transport lines caused problems for tourists to choose which lines of transportation to get in. The purpose of this research is to develop a guide for public transportation for tourist destination in Magelang usin Floyd Warshall Algorithm. Floyd Warshall's algorithm provides the shortest path recommendation by calculating all vertices, then calculating all possible routes from the initial location to the final destination to determine the total distance travelled on each route. After knowing the total distance on all routes, the system will display the shortest path as a recommendation. From the test results obtained that the system being built is feasible to be used and is able to find the shortest route for determining public transport lines in the city of Magelang Angkutan umum sebagai salah satu transportasi yang paling mudah ditemui untuk digunakan wisatawan dalam mengunjungi suatu objek wisata. Terdapat 12 jalur angkutan umum yang ada di Kota Magelang. Banyaknya jumlah jalur angkutan umum tersebut menjadikan permasalahan bagi wisatawan dalam memilih angkutan yang akan digunakan. Tujuan dari penelitian adalah membangun aplikasi panduan jalur angkutan umum untuk tempat wisata di Kota Magelang dengan menggunakan Algoritma Floyd Warshall. Algoritma Floyd Warshall memberikan rekomendasi jalur terpendek dengan melakukan perhitungan dari semua simpul, kemudian melakukan perhitungan pada semua kemungkinan rute dari lokasi awal sampai lokasi akhir untuk mengetahui total jarak yang dilalui pada masing-masing rute. Setelah diketahui total jarak pada semua rute sistem akan menampilkan jalur terpendek sebagai rekomendasi. Dari hasil pengujian diperoleh bahwa sistemyang telah dibangun layak digunakan dan mampu mencari rute terpendek untuk penentuan jalur angkutan umum di Kota Magelang
Shares are securities as proof of ownership of investors in a company. Stocks have a volatile nature, this makes stocks difficult to predict. Stock prediction is an effort to estimate the stock price, especially in the Bank Rakyat Indonesia company that will appear in the future, and to increase investors' profit opportunities in making investment decisions. During the COVID-19 pandemic, Bank BRI's shares experienced significant ups and downs in four months, which illustrates the sensitivity of the stock to an event. Therefore, it is important to predict stock prices to reduce the risk accepted by investors. The prediction itself requires time series data. Time series is data that is collected sequentially from time to time. The method used for time series data is Linear Regression because this method can handle time-series data. Based on these problems, stock prediction research will be conducted at the Bank Rakyat Indonesia company using the Linear Regression method. Bank Rakyat Indonesia share price data were obtained from the investing.com website from the period starting on January 1, 2008, to June 1, 2020. The data is processed starting from preprocessing to determine attributes, remove unnecessary attributes, and change the contents of the data type, then process split data to divide the dataset into training and test data. The attributes used in this study are Date and Price and the distribution of the data used is 60:40, 65:35, 70:30, 75:25, and 80:20. The best ratio is at 80:20 which produces train and test accuracy of 0.89 and 0.91, Then each training data and testing data are entered into the linear regression model for prediction. The error results from the predictions were calculated using MAPE and yielded a percentage of 13.751% for training data, 13.773% for test data, and 13.755% for overall data. The MAPE results indicate that the linear regression method can be used to predict the stock price of BRI Bank.
Shallots are tubers commonly consumed by Indonesians. Shallots are one of the three members of the Allium genus that are much-loved and have high economic value. In the process of cultivating shallots susceptible to pests and diseases. Onion caterpillars, leaf flies, earthworms, purpura, fusarium wilt, onion mosaic and leaf spot are some of the pests and diseases that often attack shallot plants. Farmers will immediately give pesticides or methods that are sometimes not suitable for pests and diseases that attack. As a result, maintenance is not optimal and new pests or diseases often arise. This study aims to help farmers find early symptoms of shallot pests and diseases, so that pest and disease control is more optimal and on target. Processed as many as 10 attack data using Case Based Reasoning method. This method will process data in the form of symptoms seen in shallots, so that they can detect types of pests and diseases of shallots and their handling steps with 100% accuracy. Therefore, this method is relevant for the identification of shallot disease
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.