<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Application of Data Mining for Predicting Business Actors' Income Using\r\nMonte Carlo and Autoregressive Integrated Moving Average (ARIMA)"^^ . "Application of Data Mining for Predicting Business Actors' Income Using\r\nMonte Carlo and Autoregressive Integrated Moving Average (ARIMA)\r\nRistina Eka Salsabila1\r\n, Arie Qur’ania2\r\n, Siska Andriani3*\r\n1,2,3 Department of Computer Science, Faculty of Mathematics and Natural Science, Pakuan\r\nUniversity, Bogor, West Java, 16143, Indonesia\r\nAbstract\r\nThe rapid advancement of technology today, it is almost certain that all tasks can be optimized through\r\ntechnology, especially for predicting future figures. Considering the swift growth of Warung Bakso Berkah\r\nWonogiri, optimal management is crucial. This study aims to estimate future sales revenue at Warung Bakso\r\nBerkah Wonogiri 3 by comparing two methods: Monte Carlo and ARIMA. The prediction process will involve\r\ncollecting historical data (such as sales from two years ago) and projecting it into the future using the Monte\r\nCarlo method and Autoregressive Integrated Moving Average (ARIMA). This research utilizes revenue data\r\nover a period of two years (January 2022 to December 2023), totaling 730 data points. Using the Monte Carlo\r\nmethod, revenue predictions are based on random numbers, while ARIMA predictions rely on the best\r\npredictive modeling process. The model produced by the Monte Carlo method has an error value of 0.07% or\r\nan accuracy of 99.93%, whereas the model generated using ARIMA has an error value of 0.03% or an accuracy\r\nof 99.97%. The process and results of this study are visualized through a graph for easier understanding and\r\nto illustrate annual comparisons..\r\nKeywords: Prediction, Sales Revenue, Python, Monte Carlo, Autoregressive Integrated Moving\r\nAverage (ARIMA)"^^ . "2024-07-09" . . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Pengetahuan Alam, Universitas Pakuan"^^ . . . . . . . . . . . . . . . . . . "Siska"^^ . "Andriani"^^ . "Siska Andriani"^^ . . "Arie"^^ . "Qur’ania"^^ . "Arie Qur’ania"^^ . . "Arie"^^ . "Qur’ania"^^ . "Arie Qur’ania"^^ . . "Siska"^^ . "Andriani"^^ . "Siska Andriani"^^ . . "Ristina Eka"^^ . "Salsabila"^^ . "Ristina Eka Salsabila"^^ . . "Universitas Pakuan"^^ . . . "Fakultas Matematika dan Ilmu Pnegetahuan Alam"^^ . . . "Program Studi Ilmu Komputer"^^ . . . . . . . "Application of Data Mining for Predicting Business Actors' Income Using\r\nMonte Carlo and Autoregressive Integrated Moving Average (ARIMA) (Text)"^^ . . . "SKRIPSI_Ristina Eka Salsabila_065119116.pdf"^^ . . "HTML Summary of #8884 \n\nApplication of Data Mining for Predicting Business Actors' Income Using \nMonte Carlo and Autoregressive Integrated Moving Average (ARIMA)\n\n" . "text/html" . . . "Ilmu Komputer"@en . .