Institutional reconstruction of promoting and maintaining the level of compliance with health protocols in Indonesia during the pandemic

RS Adnan, SHB Harmadi, S Hardjosoekarto… - Systemic Practice and …, 2023 - Springer
This article aimed to observe the efforts of Indonesia and the problems faced in fighting the
COVID-19 pandemic regarding the indecisive public policy and the reluctance of people …

Forecasting model of COVID-19 pandemic in Malaysia: An application of time series approach using neural network

T Purwandari, S Zahroh, Y Hidayat… - Decision Science …, 2022 - growingscience.com
COVID-19 has spread to more than a hundred countries worldwide since the first case
reported in late 2019 in Wuhan, China. As one of the countries affected by the spread of …

Forecasting Inflation in Indonesia using Long Short Term Memory

FF Savitri, RF Siregar, FY Harianto… - … Intelligence and Big …, 2021 - ieeexplore.ieee.org
The problem of inflation has always been a macro problem that occurs in developing
countries, especially Indonesia. Observation of the inflation rate cannot be done by …

Application of Recurrent Neural Network Bi-Long Short-Term Memory, Gated Recurrent Unit and Bi-Gated Recurrent Unit for Forecasting Rupiah Against Dollar (USD) …

MF Fayyad, V Kurniawan, MR Anugrah… - … Research Journal of …, 2024 - journal.irpi.or.id
Foreign exchange rates have a crucial role in a country's economic development,
influencing long-term investment decisions. This research aims to forecast the exchange …

Steganalysis of an Image-Based Semantic Segmented and Binary Pattern Complex Stego File Using RNN And DenseNet

JN Ugwu, TT Odufuwa, SE Akinsanya… - FUOYE Journal of …, 2024 - fjpas.fuoye.edu.ng
Image steganalysis is a method for detecting concealed data within an input image,
regardless of the steganography technique employed. Unfortunately, many existing image …