Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal JURNAL PROMOSI KESEHATAN INDONESIA Jurnal Berkala Epidemiologi Window of Health : Jurnal Kesehatan Journal of Public Health for Tropical and Coastal Region
Tenrisau, Dhihram
Unknown Affiliation
Immunology & microbiology Medicine & Pharmacology Nursing Public Health

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Family Vulnerability and Children’ Nutritional Status during COVID-19 Pandemic Yusuf, Andi Mukramin; Tenrisau, Dhihram; Hidayanti, Healthy; Ibrahim, Abdul Haris; Bahar, Ardiansyah; Sarifudin, Sarifudin; Tahir, Yoesrianto; Adhyanti, Adhyanti; Alfiah, Elma
Journal of Public Health for Tropical and Coastal Region Vol 5, No 2 (2022): Journal of Public Health for Tropical and Coastal Region
Publisher : Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jphtcr.v5i2.13758

Abstract

Introduction: COVID-19 infected millions of people and became the main mortality worldwide. COVID-19 also affected other health problems, including nutritional problems. This study aimed to find the factors that affected the nutritional and socio-economic status during the COVID-19 pandemic in a neighborhood of DKI Jakarta.Methods: This study utilized a cross-sectional design. Total sampling method on all families who had children in the 9th Neighborhood, Cawang Sub-District, DKI Jakarta was used. A total of 72 families were involved in this study, and the informants of this study were mothers of under five children. This study utilized a modified questionnaire from the Indonesian National Socio-Economic Survey (Susenas) and the Indonesian Nutritional Status Study (SSGI). This study utilized bivariate and multivariate logistic regression analysis.Results: From all of 72 families with children, it was found that eight children were wasting. The Job-Loss (PHK) has an OR of 37.8 (95%CI: 5.87-748.53; p=0.001), while below poverty line had an OR of 14.24 (95%CI: 3.55-170.35; p=0.004) to be wasted. The multivariate analysis had included covariates such as parental occupation, parental education, and antenatal care (ANC). Job-Loss and Below Poverty Line were the main factors in increasing the risk of malnutrition cases after controlled by covariates. Conclusion: The decrease in socio-economic status of a family during the pandemic, increased the risk of wasted children. Improvements in policy interventions and socio-economic aids are necessary to improve the nutritional status of under five children in the lower-middle class during the COVID-19 pandemic.
Machine Learning Approach to Predict the Dengue Cases Based on Climate Factors Nasir, Muhammad; Aldillah Wulandhari, Shobiechah; Tenrisau, Dhihram; Haris Ibrahim, Muhammad; Rahastri, Ajeng; Sa’adatar Rohmah, Nilna; Surya, Asik; Thohir, Burhanuddin; Aryani, Desfalina; Firdaus Kasim, Muhammad
Window of Health : Jurnal Kesehatan Vol 7 No 2 (April 2024)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.1428

Abstract

Dengue is a global health issue threatening public health, particularly in developing countries. Effective disease surveillance is critical to anticipate impending outbreaks and implement appropriate control responses. However, delays in dengue case reporting are frequent due to human resource shortfalls. Improved outbreak predictive capacity also requires additional input on vector presence and abundance, which is currently not captured in the surveillance platform. Thus, we developed a prototype AI application, “Dengue Forecasting", that leverages machine learning methods in filing the dengue case report and incorporates dengue vector and climatic parameters. This application simplifies the recording of dengue cases, vector abundance (Angka Bebas Jentik/ABJ), and selected climatic variables (sun exposure, temperature, humidity, wind speed, and precipitation) in Bandung City. The relevant data were extracted from Indonesia’s Ministry of Health and the Meteorological, Climatological, and Geophysical Agency. The entire process, from developing the model to deployment, was conducted under R programming language version 4.2.2 using packages (caret, shiny.io). The linear regression model demonstrated the highest precision (RMSE= 268.32 and MAE= 164.1) in predicting the dengue cases and outbreaks. We also applied this to the application deployment. “Dengue Forecasting” has the potential to assist policymakers at the district level, complementing Dengue EWARS, in anticipating and mitigating dengue outbreaks, especially in Bandung City.
The Association between Adverse Childhood Experiences, Social Support, Body Mass Index, and Physical Activity among Adolescents Ifroh, Riza Hayati; Rabiautsani, Muhamad Aziz; Permana, Lies; Tenrisau, Dhihram
Jurnal Promosi Kesehatan Indonesia Vol 21 No 1: January 2026
Publisher : Master Program of Health Promotion Faculty of Public Health Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpki.21.1.9-16

Abstract

Background: Association with levels of social support and physical activity, which play a role in adolescents’ future health. This cross-sectional study aimed to examine the associations between ACEs, social support, Body Mass Index (BMI), and physical activity among adolescents in Samarinda, Indonesia.Method: A sample of 246 participants completed an online self-administered questionnaire. Descriptive statistics, Pearson correlation coefficients, and chi-square tests were used to explore associations among variables. Mediation and moderation analyses were conducted using the PROCESS macro.Result: The findings revealed that ACEs were negatively associated with perceived social support (β = -0.1949, p < 0.001) and positively associated with physical activity (β = 0.0834, p = 0.0062). Perceived social support was negatively associated with physical activity (β = -0.2002, p = 0.0004) and partially mediated the relationship between ACEs and physical activity, with a significant indirect effect (β = 0.0390, 95% CI [0.0156, 0.0675]). The moderated mediation analysis revealed that BMI did not significantly moderate the direct or indirect effects, although the indirect pathway remained significant across different levels of BMI. The study demonstrated that perceived social support partially mediated the relationship between ACEs and physical activity. This mediation pathway remained significant regardless of BMI level, while BMI did not show a moderating effect. Conclusion these findings suggest that social support partially explains how ACEs influence physical activity, regardless of BMI.
SOCIAL MEDIA USE INTENSITY AND ADOLESCENT ANTISOCIAL BEHAVIOR: A CROSS-SECTIONAL STUDY IN SIDOARJO: Intensitas Penggunaan Media Sosial dan Perilaku Anti Sosial Remaja: Studi Cross Sectional di Kabupaten Sidoarjo Nur Budiarti, Tamara; Andriani, Linda; Dewanti, Nisa; Rizka Rohmawati, Nina; Muthmainnah; Wagiu Basrowi, Ray; Tenrisau, Dhihram; Mohammed Ali Aldubaeiu, Haitham Taleb Salem
Jurnal Berkala Epidemiologi Vol. 13 No. 3 (2025): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V13I32025.219-228

Abstract

Background: Social media usage is rapidly increasing and has become integral to everyone. The increased use of social media among adolescents has generated substantial concerns regarding its potential effects on mental health disorders. Purpose: This study investigates how the intensity of social media use influences antisocial behavior. Methods: The research was conducted in Sidoarjo Regency, held from March to April 2025, as an analytical observational method with a cross-sectional design. The population consisted of adolescents aged 17 to 25, with a total sample of 384 respondents selected through simple random sampling based on defined inclusion and exclusion criteria. Variables assessed included social media usage intensity, sleep disorder, self-confidence, anxiety regarding the future, and antisocial behavior. Data were collected using a self-reporting questionnaire and path analysis. Results: Findings indicated that 21.40% of respondents had low social media usage intensity, 7.00% experienced low sleep disorder, 24.20% had high self-confidence, and 18.20% did not experience anxiety about the future. Antisocial behavior was predominantly low among respondents (69.50%). The intensity of social media use was found to influence antisocial behavior directly and indirectly. Conclusion: Adolescents in Sidoarjo Regency displayed mental health disorder symptoms such as sleep disorder, reduced self-confidence, anxiety about the future, and antisocial tendencies. These findings highlight the importance of responsible social media use education, digital literacy programs, stress management initiatives, and increased involvement from families and educational institutions to create supportive environments promoting adolescent emotional stability.
Co-Authors Adhyanti Aldillah Wulandhari, Shobiechah Alfiah, Elma Andriani, Linda Aryani, Desfalina Bahar, Ardiansyah Firdaus Kasim, Muhammad Haris Ibrahim, Muhammad Healthy Hidayanti Ibrahim, Abdul Haris Ifroh, Riza Hayati Lies Permana Mohammed Ali Aldubaeiu, Haitham Taleb Salem MUTHMAINNAH Nisa Dewanti Nur Budiarti, Tamara Rabiautsani, Muhamad Aziz Rahastri, Ajeng Rizka Rohmawati, Nina Rony, Zahara Tussoleha Sarifudin sarifudin, Sarifudin Sa’adatar Rohmah, Nilna Surya, Asik Tahir, Yoesrianto Thohir, Burhanuddin Wagiu Basrowi, Ray Yusuf, Andi Mukramin