cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Kesehatan Vokasional
Published by Universitas Gadjah Mada
ISSN : 25410644     EISSN : 25993275     DOI : -
Core Subject : Health, Science, Education,
Computer Science & IT Education Health Professions Nursing Public Health
Jurnal Kesehatan Vokasional (JKesVo) with registered number ISSN 2541-0644 (print), ISSN 2599-3275 (online) is a collection of health scientific articles, especially in the field of medical records and health information as well as applied health sciences such as midwifery, nursing and others who are initiated by the department of health services and information, vocational college of universitas Gadjah Mada (UGM). The initial frequency of publication in 2016 is in October and then the second issue in April 2017, by 2017 the frequency of issuance changes from October and April to May and November
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol 10, No 3 (2025): August" : 10 Documents clear
Awareness of Physical Activity as an Antidepressant Mechanism: A Literature Review Pratama, Aditya Denny; Nisrinaa, Nadaa Nadiyah
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August (In Process)
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.106242

Abstract

Background: According to WHO (World Health Organization), mental disorders such as depression affected 300 million people and became a leading cause of disability. Depression and anxiety were parts of mental illness that were very common in the Generation Z era and could have long-term impacts on human survival.Objective: This research aimed to determine the effectiveness of physical activity as an antidepressant and quality of life improvement as an effort to build the 2045 Golden Generation.Methods: This research was a descriptive literature review study using 10 articles that were reviewed according to criteria after searching and selection from several databases, namely Biomed, Pubmed, Google Scholar and Science Direct.Results: The recommended physical activity for people with depression and anxiety was jogging with moderate and vigorous intensity twice a week, or other physical activities that required a minimum of 600 METs-minutes per week, with 150 minutes of moderate-intensity activity or more than 75 minutes of vigorous-intensity activity each week.Conclusion: The implementation of physical activity was recommended because it could reduce symptoms of depression and anxiety, as well as improve quality of life.
Midwives Readiness Factors in Maintaining Patient Confidentiality in the Digital Medical Record Era Rahayu, Ayu Hendrati; Marlina, Lusi; Rochmawati, Rochmawati
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August (In Process)
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.108116

Abstract

Background: The digitalization of medical records in healthcare systems created new challenges in maintaining patient information confidentiality, particularly in midwifery practice. The transition from manual to electronic systems required midwives' readiness to understand and implement confidentiality ethics in accordance with digital technology developments.Objective: This research aimed to analyze the factors that influence midwives' readiness in upholding patient confidentiality ethics in the era of medical record digitalization.Methods: The research employed a cross-sectional design with a sample of 150 midwives. Data collection was conducted through structured questionnaires measuring variables of data protection regulation knowledge, digital competence, confidentiality ethics knowledge, and attitudes toward digitalization. Data were analyzed using multiple regression.Results: Regression analysis showed the research model explained 52.9% of variation in midwives' readiness to uphold confidentiality ethics. Three variables had significant influence: knowledge of data protection regulations (coefficient=0.316; p=0.001), digital competence (coefficient=0.131; p=0.001), and knowledge of confidentiality ethics (coefficient=0.084; p=0.027). Attitude toward digitalization did not have a significant effect.Conclusion: Midwives' readiness in upholding patient confidentiality ethics in the digital era was influenced by mastery of data protection regulations, digital competence, and understanding of confidentiality ethics. This research was beneficial for developing strategies to enhance midwives' competencies in facing healthcare system digitalization.
Hybrid Education Program for Couples: A Strategy to Enhance Pregnancy Quality of Life Widatiningsih, Sri; Mundarti, Mundarti; Handayani, Esti; Tungga Dewi, Christin Hiyana
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August (In Process)
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.106192

Abstract

Background: Pregnancy involved physical, emotional, and social changes, making spousal support crucial in reducing stress, anxiety, and improving maternal quality of life. However, participation of mothers and husbands in prenatal classes in Indonesia remained low. A hybrid education model (online and face-to-face) had the potential to address these limitations.Objective: This study aimed to assess the effectiveness of a digital-based hybrid companion class on improving the quality of life of pregnant women in Magelang City.Methods: This was a quasi-experimental study with a non-randomized pretest-posttest with control group design. The sample consisted of 60 couples of reproductive age (30 intervention, 30 control) selected through simple random sampling. The hybrid class intervention included modules, educational videos, and mentoring through WhatsApp, conducted in four sessions. Quality of life was measured using WHOQOL-BREF at three time points and analyzed with GLM-RM.Results: The intervention significantly improved the quality of life of pregnant women in the psychological domain (p = 0.001; η² = 69.3%), social domain (p = 0.021; η² = 34.2%), and environmental domain (p = 0.001; η² = 65.7%), while the physical domain was not significant (p = 0.510).Conclusion: The digital-based hybrid companion class was effective in improving the quality of life of pregnant women in psychological, social, and environmental aspects. Integration of the program into antenatal services was recommended to enhance the role of husbands in pregnancy care.
Hybrid Education Program for Couples: A Strategy to Enhance Pregnancy Quality of Life Widatiningsih, Sri; Mundarti, Mundarti; Handayani, Esti; Tungga Dewi, Christin Hiyana
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.106192

Abstract

Background: Pregnancy involved physical, emotional, and social changes, making spousal support crucial in reducing stress, anxiety, and improving maternal quality of life. However, participation of mothers and husbands in prenatal classes in Indonesia remained low. A hybrid education model (online and face-to-face) had the potential to address these limitations.Objective: This study aimed to assess the effectiveness of a digital-based hybrid companion class on improving the quality of life of pregnant women in Magelang City.Methods: This was a quasi-experimental study with a non-randomized pretest-posttest with control group design. The sample consisted of 60 couples of reproductive age (30 intervention, 30 control) selected through simple random sampling. The hybrid class intervention included modules, educational videos, and mentoring through WhatsApp, conducted in four sessions. Quality of life was measured using WHOQOL-BREF at three time points and analyzed with GLM-RM.Results: The intervention significantly improved the quality of life of pregnant women in the psychological domain (p = 0.001; η² = 69.3%), social domain (p = 0.021; η² = 34.2%), and environmental domain (p = 0.001; η² = 65.7%), while the physical domain was not significant (p = 0.510).Conclusion: The digital-based hybrid companion class was effective in improving the quality of life of pregnant women in psychological, social, and environmental aspects. Integration of the program into antenatal services was recommended to enhance the role of husbands in pregnancy care.
Awareness of Physical Activity as an Antidepressant Mechanism: A Literature Review Pratama, Aditya Denny; Nisrinaa, Nadaa Nadiyah
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.106242

Abstract

Background: According to WHO (World Health Organization), mental disorders such as depression affected 300 million people and became a leading cause of disability. Depression and anxiety were parts of mental illness that were very common in the Generation Z era and could have long-term impacts on human survival.Objective: This research aimed to determine the effectiveness of physical activity as an antidepressant and quality of life improvement as an effort to build the 2045 Golden Generation.Methods: This research was a descriptive literature review study using 10 articles that were reviewed according to criteria after searching and selection from several databases, namely Biomed, Pubmed, Google Scholar and Science Direct.Results: The recommended physical activity for people with depression and anxiety was jogging with moderate and vigorous intensity twice a week, or other physical activities that required a minimum of 600 METs-minutes per week, with 150 minutes of moderate-intensity activity or more than 75 minutes of vigorous-intensity activity each week.Conclusion: The implementation of physical activity was recommended because it could reduce symptoms of depression and anxiety, as well as improve quality of life.
Performance Evaluation of Machine Learning Algorithms for AIDS-Infected Patient Classification Kurniawan, Ardi; Marthabakti, Citrawani; Putri, Larisa Mutiara; Suyono, Billy Christandy; Alisiah, Rindiani Ahmada
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.107716

Abstract

Background: According to UNAIDS (2023), approximately 39.9 million people are living with HIV worldwide, with 1.3 million new cases and 630,000 AIDS-related deaths in 2023. This indicates that HIV/AIDS remains a serious global health threat. Machine learning methods have the potential to improve the accuracy of AIDS infection classification.Objective: This research is aimed to determine the best classification method based on prediction accuracy and to identify the method with the best performance for further analysis.Methods: This research used a quantitative approach by evaluating the performance of machine learning algorithms: Decision Tree, Random Forest, XGBoost, Naive Bayes, and Logistic Regression. Secondary data were obtained from the UCI Machine Learning Repository, comprising 2,000 observations of AIDS patients and 23 variables. Model evaluation used a confusion matrix to calculate accuracy, precision, recall, and F1-score. The best model, logistic regression, was further analyzed with parameter significance tests, odds ratios, and goodness of fit.Results: Logistic regression yielded an accuracy of 88.4%, precision and recall of 90%, and the highest F1-score. Variables significant to AIDS were: time, preanti, symptom, offtrt, and cd420. The model passed the Hosmer and Lemeshow test (p-value = 0.365) with a Nagelkerke R-Square of 0.642.Conclusion: Machine learning approaches, particularly logistic regression, support early detection of AIDS and data-driven medical decision-making.
Midwives Readiness Factors in Maintaining Patient Confidentiality in the Digital Medical Record Era Rahayu, Ayu Hendrati; Marlina, Lusi; Rochmawati, Rochmawati
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.108116

Abstract

Background: The digitalization of medical records in healthcare systems created new challenges in maintaining patient information confidentiality, particularly in midwifery practice. The transition from manual to electronic systems required midwives' readiness to understand and implement confidentiality ethics in accordance with digital technology developments.Objective: This research aimed to analyze the factors that influence midwives' readiness in upholding patient confidentiality ethics in the era of medical record digitalization.Methods: The research employed a cross-sectional design with a sample of 150 midwives. Data collection was conducted through structured questionnaires measuring variables of data protection regulation knowledge, digital competence, confidentiality ethics knowledge, and attitudes toward digitalization. Data were analyzed using multiple regression.Results: Regression analysis showed the research model explained 52.9% of variation in midwives' readiness to uphold confidentiality ethics. Three variables had significant influence: knowledge of data protection regulations (coefficient=0.316; p=0.001), digital competence (coefficient=0.131; p=0.001), and knowledge of confidentiality ethics (coefficient=0.084; p=0.027). Attitude toward digitalization did not have a significant effect.Conclusion: Midwives' readiness in upholding patient confidentiality ethics in the digital era was influenced by mastery of data protection regulations, digital competence, and understanding of confidentiality ethics. This research was beneficial for developing strategies to enhance midwives' competencies in facing healthcare system digitalization.
Role of Artificial Intelligence in the Risk Management at Construction Field: A Bibliometric Review Septiani, Anggita Puspita; Budi, Savitri Citra; Prihaswan, Irawadi
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.108171

Abstract

Background: The construction industry had high risks that required effective risk management to ensure safety and business sustainability. Artificial intelligence (AI) had the potential to improve analysis and decision-making in risk management. However, the trend of AI implementation in this field had not been extensively studied through bibliometric analysis.Objective: This study identified trends in scientific literature regarding the role of AI in risk management in the construction sector.Methods: This study used a quantitative bibliometric approach. Data from 76 articles in the Scopus database for the period 2014–2024 were analyzed statistically, and keyword co-occurrence was mapped using VOSviewer.Results: Publications showed a significant increase since 2015, especially after 2018. This reflected the increasing adoption of AI in risk analysis and incident prevention. Data analysis confirmed that AI proved helpful in managing risks in construction and project management.Conclusion: AI played a crucial role in improving construction risk management and was developing rapidly. This technology had great potential to reduce accidents and support sustainable practices. These findings provided insights for researchers and practitioners to optimize the utilization of AI in the construction industry.
Cotton Fabric-Lined Egg Tray Earmuff Intervention for Noise-Induced Hearing Loss Widjanarti, Maria Paskanita; Ismayenti, Lusi; Kartika, Ayu Prima; Azzahra, Nirwana Putri; Rha, Warda Yussy; -, Sumardiyono; Suratna, Farhana Syahrotun Nisa; gustav, Jordan syah; Rinawati, Seviana; Atmojo, Tutug Bolet; Utomo, Bekti
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.109277

Abstract

Background: Weaving workers are exposed to noise exceeding the Threshold Limit Value (TLV), putting them at risk of noise-induced hearing loss. Egg trays and cotton fabric have noise absorption capabilities. These materials have potential as eco-friendly noise dampening materials in earmuffs.Objective: This study aimed to analyze the effect of using cotton fabric-lined egg trays in earmuffs on noise-induced hearing loss among workers.Methods: The effectiveness of earmuffs was tested through a quasi-experimental design with pretest and posttest approaches in intervention and control groups with 82 respondents. Noise Induced Hearing Loss (NIHL) was measured through audiometric examination of both ears. Data were analyzed using Somers'd, Marginal Homogeneity, and Kolmogorov-Smirnov tests.Results: The modified earmuffs were able to reduce noise by up to 34 dB with an effective NRR of 20.25 dB. The experimental group experienced a significant decrease in NIHL (p=0.000), while the control group experienced an increase in NIHL. Age and length of employment had significant effects (p<0.05). There was a significant posttest difference between the experimental and control groups (p=0.008).Conclusion: Modified earmuffs containing cotton fabric-lined egg trays proved effective in reducing noise. The use of earmuffs by workers reduced the risk of Noise Induced Hearing Loss (NIHL).
Cost Analysis of Pulp Disease Treatment Using the Activity-Based Costing Method at XY Kajen Hospital Gunarti, Gunarti; Suryawati, Chriswardani; Arso, Septo Pawelas
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.111699

Abstract

Background: Dental pulp disease was the case with the highest prevalence at the Dental Clinic of XY Kajen Hospital. The main constraint in root canal treatment was the high procedural cost, which led to low patient acceptability.Objective: This study aimed to analyze and calculate the unit cost of dental pulp disease treatment at the Dental Clinic of XY Kajen Hospital using the Activity-Based Costing (ABC) method as a basis for rational tariff determination. Additionally, a comparative analysis of the Cost Recovery Rate (CRR) was conducted among JKN tariffs, the Double Distribution (DD) method, and the ABC method.Methods: This study employed a field study design with a qualitative descriptive approach. Primary data were collected through direct observation, in-depth interviews, and documentation review, while secondary data were obtained from the hospital information system. Data analysis was conducted systematically through the stages of data reduction, data presentation, and conclusion verification.Results: Unit cost analysis using the ABC method showed that the current general tariffs were lower compared to the ABC calculation results, and for some types of procedures, they were even lower than the INA-CBGs tariff package. These findings indicated that there were cost components and cost drivers that had not been comprehensively calculated in conventional tariff setting. In response to the low INA-CBGs CRR, hospital management implemented a cost containment strategy for service operational cost efficiency.Conclusion: The ABC method proved to be a valid analytical instrument for cost evaluation and strategic tariff setting in hospitals, as it was able to present resource cost allocation more accurately and transparently compared to conventional methods.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 10, No 4 (2025): November Vol 10, No 3 (2025): August (In Process) Vol 10, No 3 (2025): August Vol 10, No 2 (2025): May Vol 10, No 1 (2025): February Vol 9, No 4 (2024): November Vol 9, No 3 (2024): August Vol 9, No 2 (2024): May Vol 9, No 1 (2024): February Vol 8, No 4 (2023): November Vol 8, No 3 (2023): August Vol 8, No 2 (2023): May Vol 8, No 1 (2023): February Vol 7, No 4 (2022): November Vol 7, No 3 (2022): Agustus Vol 7, No 2 (2022): Mei Vol 7, No 1 (2022): Februari Vol 6, No 4 (2021): November Vol 6, No 3 (2021): Agustus Vol 6, No 2 (2021): Mei Vol 6, No 1 (2021): Februari Vol 5, No 4 (2020): November Vol 5, No 3 (2020): Agustus Vol 5, No 2 (2020): Mei Vol 5, No 1 (2020): Februari Vol 4, No 4 (2019): November Vol 4, No 3 (2019): Agustus Vol 4, No 2 (2019): Mei Vol 4, No 1 (2019): February Vol 3, No 2 (2018): November Vol 3, No 1 (2018): Mei Vol 2, No 2 (2017): November Vol 2, No 1 (2017): Mei Vol 1, No 2 (2017): April Vol 1, No 1 (2016): Oktober More Issue