Decision-Making Techniques using LSTM on Antam Mining Shares before and during the COVID-19 Pandemic in Indonesia

Badri, Ahmad Kamal; Heikal, Jerry; Terah, Yochebed Anggraini; Nurjaman, Deden Roni

doi:10.33050/atm.v6i2.1776

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…Long short-term memory (LSTM) is a variant of RNN that solves problems such as vanishing gradients and is suitable for processing and forecasting important events with relatively long intervals and delays in time series [43]. LSTM-based concept drift adaptation methods are mainly used in the fields of anomaly detection, photovoltaic power generation prediction, and industrial prediction, and their typical algorithms include DL-CIBuild, I-LSTM, multi-objective metaheuristic optimization-based big data analytics with concept drift detection (MOMBD-CDD), adaptive LSTM (AD-LSTM), DCA-DNN, etc.…”

Section: • Lstm-based Concept Drift Adaptation Methodsmentioning

confidence: 99%

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

Xiang

Cong

et al. 2023

Applied Sciences

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With the advent of the fourth industrial revolution, data-driven decision making has also become an integral part of decision making. At the same time, deep learning is one of the core technologies of the fourth industrial revolution that have become vital in decision making. However, in the era of epidemics and big data, the volume of data has increased dramatically while the sources have become progressively more complex, making data distribution highly susceptible to change. These situations can easily lead to concept drift, which directly affects the effectiveness of prediction models. How to cope with such complex situations and make timely and accurate decisions from multiple perspectives is a challenging research issue. To address this challenge, we summarize concept drift adaptation methods under the deep learning framework, which is beneficial to help decision makers make better decisions and analyze the causes of concept drift. First, we provide an overall introduction to concept drift, including the definition, causes, types, and process of concept drift adaptation methods under the deep learning framework. Second, we summarize concept drift adaptation methods in terms of discriminative learning, generative learning, hybrid learning, and others. For each aspect, we elaborate on the update modes, detection modes, and adaptation drift types of concept drift adaptation methods. In addition, we briefly describe the characteristics and application fields of deep learning algorithms using concept drift adaptation methods. Finally, we summarize common datasets and evaluation metrics and present future directions.

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Section: • Lstm-based Concept Drift Adaptation Methodsmentioning

confidence: 99%

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

Xiang

Cong

et al. 2023

Applied Sciences

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“…Utilize the metaphysics area to upgrade arranging space revelation by adding limitations [55]. Proposes using a proposed relapse strategy that can involve a heuristic specialist for the course of the concentration in the setting space [56]. Method for producing composite administrations utilizing powerful high-level statements.…”

Section: Ai-driven Approachmentioning

confidence: 99%

New Personalized Social Approach Based on Flexible Integration of Web Services

Rashi

Lohani

Luftiani³

et al. 2022

ITALIC

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Dynamic design or coordination stays one of the significant difficulties of web administration innovation. This article gives an inventive way to deal with the robust making of web administrations given practical and non-utilitarian properties and individual inclinations. This approach utilizes long-range informal communication web administrations to help the connection between web administrations, choice, and formation of web benefits all the more firmly connected with client inclinations. We utilize the web administration local area idea of the web administration informal community to essentially lessen the inquiry space. This people group was made with the immediate interest of web specialist co-ops.

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“…In-house properties create work. There are several things that affect the performance of Indonesian Islamic banks [11]. This includes motivating employees to perform their duties and functions as members of the Islamic Bank.…”

Section: Introductionmentioning

confidence: 99%

Factor Affecting Employee Motivation to Increase Performance of Sharia Bank in Indonesia on Islamic Perspective

Afif

Mariyanti

Septiani³

et al. 2022

ATM

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There is still a lack of market share for Islamic banking in Indonesia, so the purpose of this study is to analyze the effect of leadership style, job satisfaction, and work environment on employee motivation to improve the performance of Islamic banks in Indonesia. The methodology used is quantitative with the SEM Smart PLS analysis tool. The study was conducted on 200 employees of Islamic banks in Indonesia as representatives of 14 Sharia Commercial Banks (BUS) and 20 Sharia Business Units (UUS). The results of this study are the positive influence of leadership style, job satisfaction, and work environment on employee motivation and the influence of employee motivation on the performance of Islamic banks in Indonesia. Novelty in this study is leadership style, job satisfaction, and work environment in accordance with Islamic principles will be able to increase employee motivation at work, so that the performance of Islamic banks will be better and the market share of Islamic banking will also increase.

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Decision-Making Techniques using LSTM on Antam Mining Shares before and during the COVID-19 Pandemic in Indonesia

Cited by 9 publications

References 16 publications

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review

New Personalized Social Approach Based on Flexible Integration of Web Services

Factor Affecting Employee Motivation to Increase Performance of Sharia Bank in Indonesia on Islamic Perspective

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