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Synthesis Global Health Journal
Published by Syntific Publisher
ISSN : -     EISSN : 29883970     DOI : -
Core Subject : Health,
Health Professions Nursing Public Health
SYNTHESIS Global Health Journal, with ISSN 2988-3970 (Online) is an international journal and double-blind peer-reviewed biannually journal published by SYNTIFIC Publisher cooperated with ICMJE. SYNTHESIS is open access journal to communicate high-quality research articles, systematic reviews, literature reviews, case studies, case series, and articles about community services. SYNTHESIS only receive original paper and has never been published in a previous journal or considered to be published in another journal.
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "volume 4, issue 1, 2026" : 5 Documents clear
THE RELATIONSHIP BETWEEN KNOWLEDGE AND FAMILY SUPPORT AND COMPLIANCE WITH MEDICATION IN MENTAL DISORDER PATIENTS Berna Detha M Nowo Dihardjo; Ferry Diana Karmilasari; Heryadi Heryadi; Heri Suroso; Mareta Deka Paraswati; Andan Liries
SYNTHESIS Global Health Journal Volume 4, Issue 1, 2026
Publisher : SYNTIFIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61543/syn.v4i1.163

Abstract

Background. Mental disorders are a form of deviant behavior patterns that occur in individuals and result in discomfort, stress pressure, body dysfunction, decreased quality of life, and their role in society. Treatment and care must be carried out continuously to prevent recurrence so that the patient can live their life. The purpose of this study was to identify the relationship between knowledge and family support with medication adherence in people with mental disorders at the Sanur health center. Research Method. This study used a cross-sectional approach. Using Kendall's Tau bivariate test. The sampling technique used was total sampling with a sample of 33 respondents. The variables are knowledge, family support, and the use of the MMAS instrument. Findings. The results of the analysis showed a relationship between knowledge and adherence to taking medication, which had a significance value of 0.044 < 0.05 and had a correlation coefficient value of 0.334. There is a relationship between family support and medication adherence, which has a significance value of 0.016 and has a correlation coefficient value of 0.407. While the closeness of the relationship shows that the variables of family support and knowledge have a correlation coefficient of 0.407, the knowledge variable has a correlation coefficient value of 0.334. Which means that the two variables have a strong, close relationship. Conclusion. There is a relationship between knowledge and family support with adherence to taking medication in people with mental disorders at the Sanur health center, Nunukan Regency, North Kalimantan.
INFLUENCE OF COMPLEMENTARY FEEDING PRACTICE EDUCATION ON MOTHERS’ RESPONSES TO FEEDING TODDLERS: Elok Yulidaningsih; Tunik Tunik; Yuyun Putri Mandasari
SYNTHESIS Global Health Journal Volume 4, Issue 1, 2026
Publisher : SYNTIFIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61543/syn.v4i1.164

Abstract

Background. Adequate nutrition is essential for the growth of neonates, infants, and toddlers, beginning with exclusive breastfeeding for the first 6 months. After this period, complementary feeding becomes necessary as breast milk alone is insufficient. This approach can lower child mortality under 5 by 6%. Careful introduction of complementary foods is crucial, as errors such as early initiation and inadequate nutrition can lead to health issues. The purpose of this study was to examine the influence of complementary feeding practice education on mothers' responses to feeding toddlers. Research Method. The study employed a pre-experimental one-group pretest-posttest design conducted at the Integrated Health Post (Posyandu) within the Suruh Community Health Center in 2024. The targeted mothers of toddlers under 5 years, utilizing a total sampling method with 50 respondents. Key variables included education on complementary feeding practices, actual feeding practices, and sociodemographic factors such as age, education level, employment status, family income, family size, and toddler characteristics like age, height, and nutritional status. Data collection utilized a comprehensive feeding practices questionnaire (CFPQ) consisting of 54 items, with statistical analyses performed using the Wilcoxon tests. Findings. The test obtained p= 0.000, there is an influence of complementary feeding practice education on mothers' feeding practices for toddlers in the Suruh Community Health Center area. Conclusion. Educational interventions provided by health service providers can effectively change the practice of providing complementary feeding for mothers and improve the growth status of toddlers.
THE DIFFERENCE EFFECT BETWEEN AUTO STRETCHING AND MYOFASCIAL RELEASE ON IMPROVING HIP RANGE OF MOTION IN PIRIFORMIS SYNDROME Hilda Dea Revani; Dina Istiana; Firnanda Erindia
SYNTHESIS Global Health Journal Volume 4, Issue 1, 2026
Publisher : SYNTIFIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61543/syn.v4i1.165

Abstract

Background. Piriformis syndrome is a neuromuscular disorder linked to tightness or spasms of the gluteal muscles, leading to hip pain and restricted range of motion (ROM). Physiotherapy methods like auto stretching and myofascial release (MFR) are frequently used to enhance hip ROM. This study aimed to determine difference effect between autostretching and myofascial release on improving hip ROM in piriformis syndrome. Research Method. This study employed a quasi-experimental design involving 30 participants selected using a matching allocation technique. Subjects were divided into two groups, each consisting of 15 participants: Group I received auto stretching, and Group II received myofascial release. The interventions were conducted for four weeks, three times per week. Hip ROM was measured using a goniometer before and after the intervention. Data were analyzed using paired t-tests and independent t-tests with a significance level of p<0.05. Findings. The Shapiro–Wilk test indicated the data were both normally and non-normally distributed, while Levene’s test showed homogeneity of variance. Hypothesis testing using paired sample t-tests demonstrated significant improvements in hip ROM in Group I (p = 0.000; p < 0.05) and Group II (p = 0.000; p < 0.05). Independent t-test analysis revealed a significant difference between the two intervention groups (p = 0.007; p < 0.05), indicating a statistically significant difference in outcomes. Conclusion. Both myofascial release and self-stretching are effective in improving hip range of motion in cases of piriformis syndrome, but myofascial release results in a more significant improvement in range of motion in the short term.
THE GOAL OF HPDSAR (HIGH PRECISION DENTAL SURGERY ASSISTING ROBOT) TO IMPROVE THE ACCURACY OF NON-INVASIVE ORAL CAVITY SURGICAL PROCEDURES Goalbertus Goalbertus; Ho C.M. Brian
SYNTHESIS Global Health Journal Volume 4, Issue 1, 2026
Publisher : SYNTIFIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61543/syn.v4i1.166

Abstract

Background. The High Precision Dental Surgery Assisting Robot (HPDSAR), a novel, miniaturised system designed to revolutionise oral and maxillofacial procedures with paramount precision and minimal invasiveness. HPDSAR's operational superiority is established through an integrated system comprising advanced robotic auxiliary instruments and a Digital AI component. The system initiates with high-resolution imaging via CBCT scans and intraoral imaging, which is processed through deep learning mechanisms, specifically Convolutional Neural Networks (CNN), to generate a single, accurate surgical diagnosis. This study aim to determine the goal of HPDSAR to improve accuracy of non-invasive oral cavity surgical procedures. Research Method. This study used a scoping review approach to systematically map the scientific evidence related to the use of high-precision surgical robots (HPDSAR) in improving the accuracy of non-invasive surgical procedures in the oral cavity. Findings. The system incorporates haptic feedback and force-sensing to enhance the operator's control and prevent tissue damage, thus ensuring adherence to safety standards. By enabling minimally invasive surgery and drastically improving the visual field and procedural efficiency, HPDSAR offers significant medical advantages, leading to faster patient recovery and a reduced risk of complications such as post-operative infection and nerve damage, which are frequently reported in conventional oral surgery. Conclusion. In essence, HPDSAR represents a critical advancement, utilising a human-intelligence-mimicking system to deliver exceptional accuracy and performance in complex dental operative procedures.
CNN-POWERED ARCHWIRE ROBOTICS TO TRANSFORM ORTHODONTIC APPLIANCE MANUFACTURING WITH STATE-OF-THE-ART AUTOMATION Fadliyah Fadliyah; Ayesha Noor
SYNTHESIS Global Health Journal Volume 4, Issue 1, 2026
Publisher : SYNTIFIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61543/syn.v4i1.167

Abstract

Background. Malocclusion, a prevalent dental disorder, disrupts tooth alignment, mastication, speech, and aesthetics, significantly affecting self-confidence. Its high prevalence in Asian populations, particularly in Indonesia, where 80% of individuals are affected, necessitates more precise and efficient orthodontic solutions. Conventional archwire bending methods remain prone to inaccuracies, contributing to treatment failures in over 37% of cases. This study explores the integration of Convolutional Neural Networks (CNNs) into robotic archwire bending systems as a transformative innovation to enhance orthodontic precision and efficiency. Research Method. A comprehensive literature review was conducted using major scientific databases, including PubMed, ScienceDirect, SCOPUS, ProQuest, and EBSCO, focusing on studies published from 2017 onward. Ten relevant articles were analyzed to evaluate CNN applications in robotic systems and their potential to improve orthodontic appliance production accuracy. Findings. The CNN-driven robotic system operates through two primary subsystems—data processing and mechanical execution supported by 3D modeling, CAD-based stress analysis, and Finite Element Method (FEM) validation. In the mechanical phase, robotic arms guided by sEMG signals and optimized through CNN-based motion recognition ensure superior precision in archwire shaping. This system minimizes human error, enhances treatment accuracy, and significantly reduces clinical time. Conclusion. CNN-integrated robotic archwire bending represents a breakthrough in orthodontic practice, enabling highly accurate, efficient, and patient-centered treatment outcomes. This innovation aligns with Sustainable Development Goal (SDG) 3 on Good Health and Well-Being, offering a substantial leap toward the future of digital orthodontics.

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