Claim Missing Document
Check
Articles

Found 13 Documents
Search

Program Evaluation of the Monthly Health Review Program: A Strategy to Protect High-Risk Field Workers in the Manufacturing Industry from COVID-19 Melati Yalti Kautsar Syahrial; Dewi Sumaryani Soemarko; Agus Sugiharto; Nuri Purwito Adi; Boy Subirosa Sabarguna
The Indonesian Journal of Community and Occupational Medicine Vol. 6 No. 1 (2026): ijcom
Publisher : ILUNI MKK FKUI and PRODI MKK FKUI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53773/ijcom.v6i1.217.25-36

Abstract

Background: The Indonesian government has issued guidelines for companies during the COVID-19 pandemic to monitor high-riskemployees due to the severe complications associated with COVID-19. The study aims to identify the cause of program issues and determinepotential improvements to achieve the program’s target of a monthly health review, protecting high-risk field workers in the manufacturingindustry from COVID-19.Methods: A mixed-methods approach combining quantitative and qualitative data was employed, utilizing the Problem-Solving Cycle.Quantitative data were obtained from document reviews, which revealed the characteristics of the Implementers (n=5) and program participants(n=58). Qualitative data are collected through in-depth interviews with policy stakeholders, program implementers, and program participantsto identify the causes of program problems. These problems are then prioritized as main issues using the USG method, and alternative solutionsare discussed. The selected solutions are evaluated based on their effectiveness and efficiency using the Reinke method.Results: On average, 89.58% of participants attended the program throughout the past two years, and only 59.98% of individuals had ahealth condition under control. The interviews revealed that the absence of a Standard Operating Procedure (SOP) was the primary cause ofthe failure to achieve the attendance and under control health condition targets, which were also impacted by a lack of coordination. Nonadherence to medication contributes to discordant comorbidities.Conclusion: Creating an SOP with a relevant target program is the primary solution, and internal meetings to create a monthly schedule.Additionally, the company doctor and program implementers regularly educate program participants to raise awareness of the benefits oftaking the medication regularly.
The Need For Marine Medicine Specialists for An Integrated Service Network Towards Advanced Indonesia 2045 BOY SUBIROSA SABARGUNA; HARMIN SARANA; KEES DE ROODE; DJATIWIDODO EDI PRATIKNYA; RISMA
Hang Tuah Medical Journal Vol 22 No 1 (2024): Hang Tuah Medical Journal
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/htmj.v22i1.668

Abstract

Need for Marine Medicine Specialist Doctors: I. Hospital-Based Study Program, starting to run in 8 study programs, July 2024. II. Service Needs: 1) Regulations, 2) Development of Remote and Coastal Areas, 3) The existence of a Sea Highway, 4) The existence of marine tourism, 5) Fisheries, 6) Defense, 7) The existence of a New National Capital. III. Service Network: 1) Marine Medicine Service Center in the National Capital, 2) Frontline Areas, 3) Coastal Areas, 4) Hospital Ships. IV. Integrated Systems Network: 1) Defense System, 2) Transportation System, 3) Tourism System, 4) Fisheries System, 5) Telemedicine System, 6) Coastal Area Development, 7) Education, Research, Community Service and Innovation Systems. On August 25, 2023, the Marine Medicine Study Program was approved for a SCOR of 0.001/1,000 population, including efforts to accelerate the achievement of meeting needs. Calculation of Minimum Needs: calculated as 50% of the optimal value, 50% x 319 = 159.5 Rounded to 160, UNRAM and UHT Production Three more years: 3 +5 = 8, then it will only be achieved 20 to 40 years later. Proposed Solutions: 1) PRODI at UNRAM and UHT; There are 2 PRODIs with 3 classes: Regular, Parallel, and Scholarship, projected graduates 9+15 =24; 2) Immediately establish 10 Hospital Based PRODIs, this will meet the increasing needs, so produce 10 PRODIs, projected graduates 10 x 10 = 100; 3) Immediately form a Service Network and System Network, spread throughout Indonesia. 9 types, so there are 9 PRODI. Projection of graduates 9 x 10 = 90. Total projection: 24 + 100 + 90 = 214 per semester. Keywords: need for specialist doctors, study program, student class, graduate projections.
A PREDICTION-ORIENTED ACCEPTANCE SCORE FOR SUSTAINED mHEALTH USE: INTEGRATING HOT – FIT AND TAM IN COMMUNITY-BASED DENGUE SURVEILLANCE Sugiharto, Agus; Nahdah, Khansa Shafiqa; Maryanto, Dede Irving; Sabarguna, Boy Subirosa
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 5 (2026): Volume 10, Nomor 5, October 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i5.58850

Abstract

Sustaining the use of mobile health (mHealth) applications is an important challenge in community-based dengue surveillance. However, the combined roles of human capabilities, technology quality, and organizational support in shaping continued use require further examination in this setting. This study evaluated mHealth acceptance among dengue larvae monitoring cadres by integrating the Human-Organization-Technology Fit (HOT-Fit) framework and the Technology Acceptance Model (TAM), and explored a preliminary Acceptance Score (AS) for prediction-oriented decision support. A cross-sectional study involving 60 dengue larvae monitoring cadres used a questionnaire comprising 18 indicators across six constructs. We analyzed the hypothesized relationships using partial least squares structural equation modeling (PLS-SEM) in SmartPLS4. Predictive performance was assessed using PLSpredict. The Pearson correlation and regression analyses were used to examine the relationship between the proposed AS and continuance intention using SPSS 25.  Human literacy (β = 0.32), technology quality (β = 0.35), and organizational support (β = 0.44) were positively associated with perceived usefulness. Perceived usefulness was positively associated with user satisfaction (β = 0.62) and continuance intention (β = 0.57); all reported paths were statistically significant (p < 0.001). The model explained 62% of the variance in perceived usefulness, 58% in user satisfaction, and 52% in continuance intention. The AS was positively correlated with continuance intention (r = 0.488, p < 0.001). Integrating HOT-Fit and TAM offers a framework for examining continued mHealth use in community-based dengue surveillance. The preliminary AS may inform future implementation support, but independent validation is required before operational use.