Penerapan Crisp-Dm Menggunakan Mlr K-Fold Pada Data Saham Pt. Telkom Indonesia (Persero) Tbk (Tlkm)(Studi Kasus: Bursa Efek Indonesia Tahun 2015-2022)
A Pambudi - Jurnal Data Mining dan Sistem Informasi, 2023 - ejurnal.teknokrat.ac.id
Teknik data mining telah diadopsi secara luas selama beberapa dekade terakhir, terutama
dalam domain bisnis dan keuangan. Untuk mencapai manfaat berkelanjutan dari teknik ini …
dalam domain bisnis dan keuangan. Untuk mencapai manfaat berkelanjutan dari teknik ini …
Penerapan metode Regresi Linear untuk prediksi penjualan properti pada PT XYZ
GN Ayuni, D Fitrianah - Jurnal telematika, 2019 - journal.ithb.ac.id
The purpose of this research is to obtain property sales predictions based on property sales
data at PT XYZ. Linear regression is used as a prediction method with the quantity or …
data at PT XYZ. Linear regression is used as a prediction method with the quantity or …
Penerapan Metode Regresi Linear Berganda untuk Prediksi Kerugian Negara Berdasarkan Kasus Tindak Pidana Korupsi
AN Maharadja, I Maulana… - Journal of Applied …, 2021 - jurnal.polibatam.ac.id
Tindak pidana korupsi merupakan kegiatan yang dapat mengakibatkan kerugian keuangan
negara atau perekonomian negara serta dapat menghambat pembangunan nasional …
negara atau perekonomian negara serta dapat menghambat pembangunan nasional …
PHOTOGRAPHY IN TOURISM
APD Putra, CIP Nindhia - Ride: Journal of Cultural Tourism …, 2024 - ojs.uhnsugriwa.ac.id
Basically, humans are social creatures that cannot be separated from the people around
them. This affects a person's lifestyle, be it a lifestyle that is closely related to the …
them. This affects a person's lifestyle, be it a lifestyle that is closely related to the …
Perbandingan algoritma linear regression, LSTM, dan GRU dalam memprediksi harga saham dengan model time series
Penelitian ini bertujuan untuk memprediksi harga saham dengan membandingkan
algoritma Linear Regression, Long Short-Term Memory (LSTM), dan Gated Recurrent Unit …
algoritma Linear Regression, Long Short-Term Memory (LSTM), dan Gated Recurrent Unit …
Mobile app for stock prediction using Improved Multiple Linear Regression
Stock Prediction is developed in both of two studies, economics, and data mining. Stock
predictions got special attention due to its importance for creating a more effective and …
predictions got special attention due to its importance for creating a more effective and …
Analisa Perbandingan Model Prediction Dalam Prediksi Harga Saham Menggunakan Metode Linear Regression, Random Forest Regression Dan Multilayer …
Stock is one type of long-term investment that is quite in demand by the public because this
investment brings quite a large profit for its investors. However, in relation to this, stock price …
investment brings quite a large profit for its investors. However, in relation to this, stock price …
Penerapan Metode Regresi Linear Sederhana Untuk Prediksi Harga Beras di Kota Padang
LH Hasibuan, S Musthofa - JOSTECH Journal of Science and …, 2022 - ejournal.uinib.ac.id
The purpose of this research is to get predictions of rice prices. Linear regression is used as
a method of predicting rice prices in the next X (t) period. In this study, the actual rice price Y …
a method of predicting rice prices in the next X (t) period. In this study, the actual rice price Y …
Analisis Perbandingan Algoritma Forecasting dalam Prediksi Harga Saham LQ45 PT Bank Mandiri Sekuritas (BMRI)
VP Ramadhan, FY Pamuji - Jurnal Teknologi dan Manajemen …, 2022 - jurnal.unmer.ac.id
Economic development in Indonesia has slowed in recent years. This resulted in the
movement of the index for several stocks listed on BEIm, especially LQ45 which also …
movement of the index for several stocks listed on BEIm, especially LQ45 which also …
Data Mining Menggunakan Regresi Linear untuk Prediksi Harga Saham Perusahaan Pelayaran
EPA Akhmad - Jurnal Aplikasi Pelayaran dan …, 2020 - pdp-journal.hangtuah.ac.id
The movement of the closing price of BULL shares tends to experience price variations
every day. Investors need appropriate action, so that existing risks can be reduced by …
every day. Investors need appropriate action, so that existing risks can be reduced by …