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Determinant of Antiretroviral Therapy Adherence Through the Health Belief Model Theory in People Living with HIV/AIDS: A Systematic Review Supriyatni, Nani; Sumiati, Tati; Lestari, Tutik; Andiani, Andiani
Indonesian Journal of Global Health Research Vol 6 No S5 (2024): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v6iS5.4936

Abstract

Human Immunodeficiency Virus (HIV) and Acquired immunodeficiency syndrome (AIDS) are still threats to public health. Indonesia ranks third highest in the number of people living with HIV/AIDS (PLWHA) and new infection cases in the Asia-Pacific region after India and China. One of the sustainable development targets to improve health and well-being is to end the AIDS epidemic by 2030 which refers to the global policy of "Getting to Zeros" using antiretroviral therapy (ARV). This study aims to analyze the determinants of HIV/AIDS treatment adherence through ARV therapy using the Health Belief Model (HBM) theory. Methods: This study used Preferred Reported Items for Systematic Reviews and Meta-Analyses (PRISMA) for systematic review through keyword searches on 10 relevant articles. Databases used include journals from ScienceDirect, Google Scholar, and PubMed. Article submission took place in May–June 2023. The article used is an article that contains research in the range of 2015–2023. Results and Discussions: The findings of the article are then screened, filtered, and critically appraised through several inclusion and exclusion criteria. The search results found as many as 10 suitable articles. The results showed a relationship between perceived barriers, perceived benefits, self-efficacy, and cues to action with adherence to ARV therapy in PLWHA. Non-adherence to ARV treatment has multidimensional consequences at both the individual, community, and policy levels. Individually, it can lead to an uncontrolled viral load, increasing the risk of resistance and other factors, including mortality. Conclusions: So it is necessary to increase awareness of the importance of ARV therapy for PLWHA through HBM theory. In addition, it is expected for the closest people to always provide positive support to PLWHA to be compliant in carrying out ARV therapy.
Performance Assessment of ARIMA and LSTM Models in Prediction Using Root Mean Square Error (RMSE) Andiani, Andiani; Simanjuntak, Yoel; Wiliani, Ninuk
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 1 (2024): June 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i1.181

Abstract

Cryptocurrency is a digital financial asset that serves as a medium of exchange, with its ownership guaranteed using decentralized cryptographic technology, and it has become a growing investment tool. Solana is one of the highly sought-after Cryptocurrencies by investors. The market price of Solana exhibits highly volatile movements, which are considered risky for investment purposes, as it offers both high potential profits and losses. In this regard, time series data prediction models are used to analyze and forecast the price movements of Solana. By comparing the performance of ARIMA and LSTM models in predicting the closing price of Solana using RMSE as a testing metric, the aim is to determine the efficiency level of both ARIMA and LSTM models. The research results show that the ARIMA model with an order of (2,1,3) achieves an RMSE of 0.019 (1.9%) with an accuracy of 98.1%, while the LSTM model with a data training ratio of 70:30%, a batch size of 64, and 500 epochs has an RMSE of 0.075 (7.5%) with an accuracy of 92.5%. The conclusion drawn from the conducted experiments is that, in the case of using time series data samples from Solana, the ARIMA method demonstrates higher accuracy compared to the LSTM method.