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All Journal International Journal of Medicine and Health Nian Tana Sikka: Jurnal Ilmiah Mahasiswa International Journal of Health and Medicine
Ucok Ucok
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences

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Pengaruh Indeks Pembangunan Manusia Dan Pengangguran Terhadap Tingkat Kemiskinan Di Kota Palangka Raya Try Santi E. Situmorang; Desi Natalia; Lidya A. Simanjorang; Lara Lara; Mika Aulia; Nopreo Dandi; Ucok Ucok; Dicky Perwira Ompusunggu
Nian Tana Sikka : Jurnal ilmiah Mahasiswa Vol. 2 No. 2 (2024): Nian Tana Sikka : Jurnal ilmiah Mahasiswa
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/niantanasikka.v2i1.266

Abstract

Data registered at the Central Bureau of Statistics (BPS) from 2011 to 2022 were used for this study. The poverty rate and human development index (HDI) are used as independent variables against the dependent variable. To determine how much influence the independent variables have on the Linear Probability Model (LPM) regression coefficient, the data was used with the t-test, F-test, and the coefficient of determination and model fixity by performing the LPM model. Furthermore, the F test included HDI and poverty rate, which were measured through the test. The results showed that the human development index has a negative and insignificant impact on the poverty rate of Palangkaraya City, while unemployment has a positive and significant impact.
Artificial Intelligence -Based Apps to Manage Occupational Stress and Burnout : Scoping Review Hasnah Taureng; Intan Suhana Munira Mat Azmi; San San Oo; Moe Thwe Aung; Ucok Ucok
International Journal of Health and Medicine Vol. 2 No. 1 (2025): January : International Journal of Health and Medicine
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhm.v2i1.216

Abstract

Stress and burnout among healthcare workers represent a global crisis with significant implications for psychological and physical health, job performance, and interpersonal skills. These conditions are linked to anxiety, depression, suicidal ideation, substance use, poor quality of life, digestive disorders, and cardiovascular diseases. Burnout is characterized by emotional fatigue, depersonalization, and reduced personal accomplishment, often caused by chronic workplace stress. Factors such as demographics, fatigue, and resilience influence its development and severity. Traditional stress management interventions, such as counselling and leave, often prove insufficient in addressing these challenges. Recent advancements in Artificial Intelligence (AI) provide innovative tools for stress and burnout management, including mobile applications offering mindfulness, meditation, and self-care resources. AI systems like IBM Watson and Google DeepMind are being tested to enhance accessibility and effectiveness in stress management. Additionally, Stress Inoculation Training (SIT), involving methods such as meditation, yoga, cognitive-behavioural therapy, and biofeedback, has been recognized as a proactive approach to mitigating stress. This review explores the factors contributing to stress and burnout in healthcare workers and evaluates interventions aimed at improving well-being and productivity, emphasizing the potential of AI and SIT in preventing and managing these conditions.
Artificial Intelligence -Based Apps to Manage Occupational Stress and Burnout: Scoping Review Hasnah Taureng; Intan Suhana Munira Mat Azmi; San San Oo; Moe Thwe Aung; Ucok Ucok
International Journal of Medicine and Health Vol. 4 No. 1 (2025): International Journal of Medicine and Health
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijmh.v4i1.5557

Abstract

Stress and burnout among healthcare workers represent a global crisis with significant implications for psychological and physical health, job performance, and interpersonal skills. These conditions are linked to anxiety, depression, suicidal ideation, substance use, poor quality of life, digestive disorders, and cardiovascular diseases. Burnout is characterized by emotional fatigue, depersonalization, and reduced personal accomplishment, often caused by chronic workplace stress. Factors such as demographics, fatigue, and resilience influence its development and severity. Traditional stress management interventions, such as counselling and leave, often prove insufficient in addressing these challenges. Recent advancements in Artificial Intelligence (AI) provide innovative tools for stress and burnout management, including mobile applications offering mindfulness, meditation, and self-care resources. AI systems like IBM Watson and Google DeepMind are being tested to enhance accessibility and effectiveness in stress management. Additionally, Stress Inoculation Training (SIT), involving methods such as meditation, yoga, cognitive-behavioural therapy, and biofeedback, has been recognized as a proactive approach to mitigating stress. This review explores the factors contributing to stress and burnout in healthcare workers and evaluates interventions aimed at improving well-being and productivity, emphasizing the potential of AI and SIT in preventing and managing these conditions.
Co-Authors Desi Natalia Dicky Perwira Ompusunggu Hasnah Taureng Intan Suhana Munira Mat Azmi Lara Lara Lidya A. Simanjorang Mika Aulia Moe Thwe Aung Nopreo Dandi San San Oo Try Santi E. Situmorang