Muh. Amri Arfandi
Unknown Affiliation

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

Development of Cross-Sector Collaboration Indicators for Accelerating the Reduction of Stunting in South Sulawesi, Indonesia Balqis, Balqis; Suci Rahmadani; Muh. Yusri Abadi; St. Rosmanely; Arif Anwar; Laksmi Trisasmita; Ni Made Viantika Sulianderi; Faizal Fahmi; Arsunan Arsin; Muh. Amri Arfandi; Nur Annisa Hamka; Amaliah Amriani. AS
Journal of Public Health and Pharmacy Vol. 4 No. 3: NOVEMBER 2024
Publisher : Pusat Pengembangan Teknologi Informasi dan Jurnal Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jphp.v4i3.5924

Abstract

Background: To reduce stunting, the government of Indonesia, which has the fifth-highest prevalence of stunting in toddlers, launched the National Strategy for the Acceleration of Stunting Prevention (StraNas Stunting). Despite involving multiple sectors, stunting rates remain high. This research aimed to develop cross-sector collaboration indicators to assess the effectiveness of cross-sector efforts in reducing stunting. Method: This qualitative study utilized a rapid assessment procedure (RAP) to generate cross-sector collaboration indicators through in-depth interviews with five key informants and four experts. The recurring themes from these interviews were identified as indicators, which were further refined. In the second phase, quantitative analysis was conducted with 50 respondents to test the developed indicators using Confirmatory factor analysis (CFA) methods. Result: A total of 15 indicators and 41 sub-indicators of cross-sector collaboration were developed across five key dimensions: governance, administration, autonomy, mutuality, and norms. Confirmatory Factor Analysis (CFA) was performed to validate the indicators, with the results showing that the Average Variance Extracted (AVE) for each dimension was greater than 0.5, and the Composite Reliability (CR) exceeded 0.7. These findings confirm the validity and reliability of the developed indicators. Conclusion: As recognized by experts, the theory of cross-sector collaboration has been further advanced by the cross-sector collaboration indicators generated in this study. Additionally, these indicators, which were based on five dimensions of collaboration, may be used to assess cross-sector performance for the Stunting Acceleration Program in Indonesia. The framework of this study for defining and assessing collaboration was expected to provide a foundation for further research.
Geo-Spatial Exploration of Tuberculosis in Samarinda Ulu Sub-Distric, Samarinda City, East Kalimantan Muhamad Zakki Saefurrohim; Muh. Amri Arfandi; Akhmad Azmiardi; Siswanto; Siti Maria Ulfa
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): [The 3th MICTOPH] Fullpaper
Publisher : Faculty of Public Health Mulawarman University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background : This research investigates the spatial distribution of tuberculosis (TB) cases in Samarinda Ulu, a sub-district with the second-highest percentage of detected TB cases in Samarinda City. Despite the availability of geographic analysis tools, no prior studies have focused on this area. Objective : This research aims to identify, describe, and analyze the spatial distribution patterns of tuberculosis cases in the Samarinda Ulu Sub-district, Samarinda City, East Kalimantan. Research Methods/ Implementation Methods : The study uses a descriptive-analytical, cross-sectional approach, utilizing secondary data from the TB03-SO form for 2023. The total sample includes 322 TB cases, with GPS and Google Maps used to locate case coordinates based on respondents’ addresses. Spatial analysis was conducted using QGIS software with overlay, buffer, and nearest neighbor analysis techniques. Results : The results shows that TB cases in Samarinda Ulu are distributed in a clustered pattern (NNI<1), with clusters forming primarily in densely populated areas. The spatial analysis results also indicate that the majority of TB cases spread through close contact with index cases. Teluk Lerong Ilir Village emerges as a TB "hotspot," with the highest concentration of cases Conclusion/Lesson Learned : This study suggests strengthening spatial-based TB surveillance and intensifying control efforts, such as enhancing early detection and promoting community-based health education programs in highly populated areas. This would allow health institutions to better target high-risk regions and improve TB prevention and control strategies.
Analysis of Factors Associated with Malnutritions Among Children Under Five in East Kalimantan Province: A Secondary Data Study Muh. Amri Arfandi; Siswanto; Irfansyah Baharuddin Pakki; Risva; Muhamad Zakki Saefurrohim
Panakeia Journal of Epidemiology Vol. 2 No. 1 (2025): Panakeia Journal of Epidemiology
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/panakeia.v2i1.3093

Abstract

This study aims to analyze factors associated with malnutrition among children under five in East Kalimantan Province using secondary data from 2021-2023. The dependent variable is the proportion of malnutrition, including underweight, stunting, and wasting. Independent variables include the proportion of low birth weight (LBW), complete basic immunization (CBI) coverage, adolescent pregnancy (<19 years), sanitation access, and poverty rate. Multiple linear regression analysis found that these five variables simultaneously have a significant effect on malnutrition prevalence (p=0.025) with a coefficient of determination of 39.5%. CBI coverage was identified as the most significant predictor of malnutrition (p=0.02). These findings highlight the importance of immunization, prevention of adolescent pregnancy, improved sanitation, and poverty reduction to address malnutrition. The study provides a policy basis for enhancing nutrition intervention programs in the region.
Gambaran kondisi kesehatan mental mahasiswa Muh. Amri Arfandi; Rifka Anita Rahman; Regina Lenik Gah; Nur Asma; Ahnaf Zaky Mahendra; Adella Nadhif Rosandini
JOURNAL OF Mental Health Concerns Vol. 4 No. 2 (2025): July Edition 2025
Publisher : Indonesian Public Health-Observer Information Forum (IPHORR) Kerjasama dengan Unit Penelitian dan Pengabdian Kep Akademi Keperawatan Baitul Hikmah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56922/mhc.v4i2.1194

Abstract

vulnerable to mental health problems. Academic, social, and financial pressures can lead to depression, anxiety, and stress, negatively affecting their well-being and academic achievement. Purpose: To find out the mental condition of students. Method: A descriptive quantitative study used a cross-sectional design. A total of 275 students from 13 universities in Samarinda participated. Data were collected online using the DASS-21 questionnaire and analyzed univariately. Results: Most respondents were in the normal range for depression (67.3%) and anxiety (61.5%), but over half experienced stress (58.9%). Severe depression was found in 9.8%, severe anxiety in 13.8%, and severe stress in 16.7%. Female students tended to report higher levels of depression, anxiety, and stress compared to males. Students from private universities had higher anxiety and stress levels than those from public universities. Third- and fourth-year students reported higher stress levels than first-year students. Conclusion: Mental health problems among students are relatively high, especially stress, with differences observed based on gender, type of university, and year of study. Higher education institutions should provide psychological support services and implement promotive and preventive programs to improve student mental well-being. Keywords: Anxiety; College Students; Depression; Mental Disorders; Stress.   Pendahuluan: Mahasiswa berada pada masa transisi remaja akhir menuju dewasa awal, yang membuat mereka rentan terhadap gangguan kesehatan mental. Tekanan akademik, sosial, dan ekonomi dapat memicu gangguan seperti depresi, kecemasan, dan stres, yang berdampak negatif pada kesejahteraan dan prestasi akademik. Tujuan: Untuk mengetahui gambaran kondisi mental mahasiswa. Metode: Deskriptif kuantitatif dengan desain cross-sectional. Sebanyak 275 mahasiswa dari 13 perguruan tinggi di Kota Samarinda menjadi responden. Data dikumpulkan secara daring menggunakan kuesioner DASS-21 dan dianalisis secara univariat. Hasil: Mayoritas responden berada dalam kategori normal untuk depresi (67.3%) dan kecemasan (61.5%), namun lebih dari separuh mengalami stres (58.9%). Depresi berat dialami oleh 9.8%, kecemasan berat 13.8%, dan stres berat 16.7%. Berdasarkan jenis kelamin, mahasiswa perempuan cenderung memiliki proporsi depresi, kecemasan, dan stres lebih tinggi dibandingkan laki-laki. Mahasiswa perguruan tinggi swasta menunjukkan tingkat kecemasan dan stres lebih tinggi dibandingkan mahasiswa negeri. Sementara itu, mahasiswa pada masa studi tahun ketiga dan keempat cenderung mengalami stres yang lebih tinggi dibandingkan tahun pertama. Simpulan: Gangguan kesehatan mental cukup tinggi pada mahasiswa, terutama stres, dengan perbedaan yang tampak berdasarkan jenis kelamin, jenis perguruan tinggi, dan masa studi. Institusi pendidikan tinggi perlu menyediakan layanan dukungan psikologis serta program promotif dan preventif untuk meningkatkan kesejahteraan mental mahasiswa. Kata Kunci: Depresi; Gangguan Mental; Mahasiswa; Kecemasan; Stres.
Geo-Spatial Exploration of Tuberculosis in Samarinda Ulu Sub-District, Samarinda City, East Kalimantan Muh. Amri Arfandi; Muhammad Zakki Saefurrohim; Akhmad Azmiardi; Siswanto; Siti Lutfiyah Ulfa
Panakeia Journal of Epidemiology Vol. 1 No. 1 (2024): PANAKEIA
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research investigates the spatial distribution of tuberculosis (TB) cases in Samarinda Ulu, a sub-district with the second-highest percentage of detected TB cases in Samarinda City. Despite the availability of geographic analysis tools, no prior studies have focused on this area. The study uses a descriptive-analytical, cross-sectional approach, utilizing secondary data from the TB03-SO form for 2023. The total sample includes 323 TB cases, with Google Maps used to locate case coordinates based on respondents’ addresses. Spatial analysis was conducted using QGIS software with overlay, buffer, and nearest neighbor analysis techniques. Results shows that TB cases in Samarinda Ulu are distributed in a clustered pattern (NNI<1), with clusters forming primarily in densely populated areas. The spatial analysis results also indicate that the majority of TB cases spread through close contact with index cases. Teluk Lerong Ilir Village emerges as a TB "hotspot," with the highest concentration of cases. This study suggests strengthening spatial-based TB surveillance and intensifying control efforts, such as enhancing early detection and promoting community-based health education programs in highly populated areas. This would allow health institutions to better target high-risk regions and improve TB prevention and control strategies.