<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "\r\n\r\n \r\nIMPLEMENTASI METODE HYBRID AUTOREGRESSIVE INTEGRATED\r\nMOVING AVERAGE (ARIMA) – ARTIFICIAL NEURAL NETWORK (ANN) \r\nDALAM PERAMALAN HARGA MATA UANG KRIPTO\r\n\r\n"^^ . "\r\n \r\nCryptocurrencies are one of the most popular investment instruments, especially\r\nduring the COVID-19 pandemic. Investments made in cryptocurrencies or other\r\ninstruments are primarily aimed at making a profit. A step that can be used to earn\r\nprofits through investing in either cryptocurrencies or other instruments is to project\r\nprices over several periods in the future. The science that can be used to make price\r\nprojections is to use statistics. ARIMA is the most commonly used method in statistical\r\ndisciplines\r\nfor\r\nforecasting.\r\nThe\r\nlimitation\r\nof\r\nARIMA\r\nmethod\r\nis\r\ndifficult\r\nto\r\n\r\ndefine\r\nnon-linear\r\ncomponents\r\ncontained\r\nin\r\ndata\r\nthat\r\nhas\r\nhigh\r\nfluctuations,\r\none\r\nof\r\n\r\nwhich\r\nis\r\nfinancial\r\ndata.\r\nANN\r\nis\r\na\r\nmodel\r\nthat\r\nhas\r\nthree\r\nmain\r\nlayers,\r\nnamely\r\nthe\r\ninput\r\n\r\nlayer,\r\nhidden\r\nlayer\r\nand\r\noutput\r\nlayer.\r\nThese\r\nthree\r\nlayers\r\nin\r\nthe\r\nANN\r\nmodel\r\nare\r\nexpected\r\nto\r\nbe\r\nable\r\nto\r\ncapture\r\nnon-linear\r\ndata\r\npatterns\r\nin\r\ndata\r\nwith\r\nhigh\r\nvalue\r\nfluctuations.\r\nTherefore,\r\nthe\r\nARIMA\r\n-\r\nANN\r\nhybrid\r\nmethod\r\nwas\r\nintroduced\r\nwhich\r\nis\r\nexpected\r\n\r\nto be able to make predictions and forecasts. The ARIMA-ANN hybrid\r\nmethod consists of 2 main models. The first model is a model that predicts the prediction\r\nresults\r\nfrom\r\nARIMA.\r\n\r\nThe second model is a model that predicts residual\r\ndata from ARIMA predictions. The hybrid model in this study was able to produce\r\nan MSE value of 0.05557, an RMSE value of 0.2357 and a MAPE value of 0.08867. \r\n\r\nKeywords: hybrid ARIMA - ANN, ANN, ARIMA, neural network, time se-\r\nries, hybrid model, cryptocurrency, prediction, forecasting\r\n\r\n\r\n \r\nMata uang kripto merupakan salah satu instrumen investasi yang populer terutama\r\npada masa pandemi COVID - 19. Investasi yang dilakukan pada mata uang kripto\r\nataupun pada instrumen lainnya utamanya bertujuan untuk mendapatkan keuntungan.\r\nLangkah\r\nyang\r\ndapat\r\ndigunakan\r\nuntuk\r\nmendapatkan\r\nkeuntungan\r\nmelalui\r\ninvestasi\r\n\r\nbaik pada mata uang kripto ataupun instrumen lainnya adalah dengan\r\nmemproyeksikan harga pada beberapa periode kedepan. Ilmu yang dapat digunakan\r\nuntuk melakukan proyeksi harga adalah dengan menggunakan statistika. ARIMA\r\nmerupakan metode yang paling umum digunakan dalam disiplin ilmu statistika untuk\r\nmelakukan\r\nperamalan.\r\nKeterbatasan\r\nARIMA\r\nadalah\r\nsulit\r\nuntuk\r\nmendefinisikan\r\n\r\nkomponen\r\nnon\r\nlinear\r\n\r\nyang terdapat pada data yang memiliki fluktuasi nilai yang\r\ntinggi, salah satunya pada data finansial. ANN merupakan model yang memiliki\r\ntiga layer utama, yaitu input layer, hidden layer dan output layer. Ketiga layer pada\r\nmodel ANN diharapkan mampu untuk menangkap pola data nonlinear pada data \r\ndengan fluktuasi nilai yang tinggi. Oleh karena itu, dicetuskan metode hybrid \r\nARIMA - ANN yang diharapkan mampu melakukan prediksi serta peramalan.\r\nMetode hybrid ARIMA-ANN terdiri atas 2 model utama. Model pertama merupakan\r\nmodel\r\nyang\r\nmemprediksikan\r\nhasil\r\nprediksi\r\ndari\r\nARIMA.\r\nModel\r\nkedua\r\nmerupakan\r\nmodel\r\nyang\r\nmemprediksikan\r\ndata\r\nresidual\r\ndari\r\nprediksi\r\nARIMA.\r\nModel\r\nhybrid\r\n\r\npada penelitian ini mampu menghasilkan nilai MSE sebesar 0,05557, nilai\r\nRMSE sebesar 0,2357 dan nilai MAPE sebesar 0,08867. \r\nKata Kunci: Hybrid ARIMA - ANN, ANN, ARIMA, Neural Network, Deret\r\nWaktu, Model Hybrid, Mata uang kripto, prediksi, peramalan "^^ . "2022-08-03" . . . . . "FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM"^^ . . . . . . . "1817031048"^^ . "FARREL RIZKIANSYAH "^^ . "1817031048 FARREL RIZKIANSYAH "^^ . . . . . . "\r\n\r\n \r\nIMPLEMENTASI METODE HYBRID AUTOREGRESSIVE INTEGRATED\r\nMOVING AVERAGE (ARIMA) – ARTIFICIAL NEURAL NETWORK (ANN) \r\nDALAM PERAMALAN HARGA MATA UANG KRIPTO\r\n\r\n (File PDF)"^^ . . . "SKRIPSI TANPA BAB PEMBAHASAN.pdf"^^ . . . 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"\r\n\r\n \r\nIMPLEMENTASI METODE HYBRID AUTOREGRESSIVE INTEGRATED\r\nMOVING AVERAGE (ARIMA) – ARTIFICIAL NEURAL NETWORK (ANN) \r\nDALAM PERAMALAN HARGA MATA UANG KRIPTO\r\n\r\n (Other)"^^ . . . . . "HTML Summary of #65152 \n\n \n \n \nIMPLEMENTASI METODE HYBRID AUTOREGRESSIVE INTEGRATED \nMOVING AVERAGE (ARIMA) – ARTIFICIAL NEURAL NETWORK (ANN) \nDALAM PERAMALAN HARGA MATA UANG KRIPTO \n \n\n\n" . "text/html" . . . "000 Ilmu komputer, informasi dan pekerjaan umum" . . . "001 Ilmu pengetahuan" . .