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All Journal Jurnal Ilmiah Kedokteran Wijaya Kusuma IKRA-ITH Informatika : Jurnal Komputer dan Informatika Gorontalo Journal of Public Health JURNAL BIOSAINSTEK Jurnal Ners Indonesian Journal of Global Health research ENVIRONMENTAL OCCUPATIONAL HEALTH AND SAFETY JOURNAL Journal of Community Development EJOIN : Jurnal Pengabdian Masyarakat International Journal of Health Sciences Dedication: Jurnal Pengabdian Masyarakat Indonesian Journal of Community Empowerment Calvaria Medical Journal Jurnal Medika: Medika Journal of Applied Research In Computer Science and Information Systems
Andiani Andiani, Andiani
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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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.
Gambaran Status Gizi Balita di Posyandu Wilayah Kerja Puskesmas Gandasuli Novarina, Yulia Yogi; Andiani, Andiani; Lestari, Tutik
Gorontalo Journal of Public Health VOLUME 8 NOMOR 2, OKTOBER 2025
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/gjph.v8i2.4477

Abstract

Masalah gizi pada anak balita masih menjadi isu serius di Indonesia, dengan prevalensi stunting, wasting (gizi buruk), underweight (kurus), dan overweight (gizi berlebih) yang masih tinggi. Semua kondisi ini disebabkan oleh ketidakseimbangan antara nutrisi yang masuk dan kebutuhan tubuh anak, yang dapat berdampak buruk pada kesehatan dan perkembangan kognitifnya di masa depan. Lebih lanjut, hal ini juga dapat meningkatkan risiko anak terhadap penyakit dan kematian. Penelitian ini bertujuan melihat gambaran status gizi balita dengan menggunakan indikator TB/U, BB/TB dan BB/U. Penelitian ini bersifat deskriptif dengan teknik pengambilan sampel menggunakan total sampling yang dilakukan dengan cara mengambil seluruh responden yang berada pada saat penelitian dilakukan sebanyak 220 balita yang tersebar di Posyandu Kampung Makian, Gandasuli Mawar Merah Anggrek, Panamboang Melati dan Papaloang Puncak Sibela. Dari 220 balita di 4 posyandu, ditemukan 5.9% status gizi pendek dan sangat pendek 15%, status gizi buruk 3.2% dan gizi kurang 11.8%, berisiko gizi lebih 5.5% dan 1.4%, status gizi berat badan sangat kurang 3.6%, berat badan kurang 15.9% dan risiko berat badan lebih 3.2%. Diharapkan adanya pelatihan khusus bagi petugas kesehatan dan kader posyandu terkait dengan pengukuran antropometri, pembuatan MP-ASI, dan penanganan masalah gizi.
Co-Authors Aldjokdja, Retno Kartika Alim, Riska Andra Agnez Al Aska Anwar, Rezki Armain, Rukmina Arsad, Aswia Aulia, Rifanda Bada, Wahdi Basri, Della Daud, Ruslia Dewangga, Eka Wahyu Diman, Tiara Ernyasih, Ernyasih F, Fadila S. Hi. Fadilah Fadilah, Fadilah Fauzi, Murti Hasan, Risma Hi I Made Subhawa Harsa Iriyani, Julfa Ida Jafar, Monissa A.Hi. Laego, Riyanti Langasa, Siti Aigina M, Fitra Tunisyah Mansyur, Suryani Manteto, Tiara Minggu, Musdalifa Muhlis, Mudini Musiana, Musiana Muslim, Kiki Muslim, Riskal Novarina, Yulia Yogi Noveriera, Adinda Ayu Nurhidayanti, Siti Nurintani, Nurintani Nurwasilah, Nurwasilah Patisausiwa, Aulia Putri, Ayu Melisa Rahayu, Agustin Sahsun, Darmila Salasa, Rosfiah A. Salim, Nurmai Sanusi, Nurnia Shanty, Ni Putu Chintya Eka Simanjuntak, Yoel Siti Sulastri Soamole, Mayasari Sugeng Santoso Suharto Suharto Sukma Sahadewa, Sukma Sulistiawati Sulistiawati Sumarto, Sabaria Supriyatni, Nani Surasno, Diah Merdekawati Suryani Mansur Tanassi, Dessy Tati Sumiati Toduho, Norma Toduho, Norma B. Togubu, Novrianti Tutik Lestari Wambes, Rahmania N Wiliani, Ninuk Wiradinata, Harsono Yamko, Ridwan YUSNITA YUSNITA Zahiroh, Viky Nauvalia