JTH: Journal of Technology and Health
The journal publishes writings on: Electrical Engineering such as: Signal Processing, Electronics, Electrical, Telecommunication, Instrumentation & Control, and Computing and Informatics. Automotive Engineering and Automotive Vocational Education such as: Automotive Engines (Petrol, Diesel, Electric, Hybrid, Gas/LNG), Drive System, Clutch and Cruise Control, Transmission (Toptronic Automatic, Direct Gear Automatic, CVT Automatic), Tranaxle, Chassis, Brakes (Conventional, ABS and ESP), Traction Control System, Electric Power System, Steering (Hydraulic, Autonomous, Four Wheel Drive), Advanced Driver Assistance Systems, Suspension (Active, Passive, Semi-active and Passive), Tires and Wheels, Frame, Electrical and Instrumentation, Systems Lighting and Signs, Instrumentation System Clusters, Filling and Strater Systems, System Networks Inverters, Electric Motor Converters, Batteries and Battery Management Systems, Control Systems (Conventional and Intelligent), Vehicle to Vehicle (V2V) Integration, Vehicle to Infrastructure (V2I), Air Conditioning and Heating, Body Design and Repair, Application Development and Smart Technology in Automotive, Evaluation of Automotive Engineering Education, Curriculum, Materials and Media of Automotive Engineering Education, and Management of Automotive Engineering Education. Nurses such as: Adult Nursing, Emergency Nursing, Gerontological Nursing, Community Nursing, Mental Health Nursing, Pediatric Nursing, Maternity Nursing, Nursing Leadership and Management, Complementary and Alternative Medicine (CAM) in Nursing, and Education in Nursing. Pharmaceuticals Sciences such as: Pharmacology and Toxicology, Pharmacokinetics, Community and Clinical Pharmacy, Pharmaceutical Chemistry, Pharmaceutical Biology, Pharmaceutics, Pharmaceutical Technology, Biopharmaceutics, Pharmaceutical Microbiology and Biotechnology, and Alternative Medicines. Sports and Exercise Sciences such as: anatomy, biomechanics, performance analysis, physiology, psychology, sports management, sports medicine, sports nutrition, health, and well-being, as well as coaching and talent identification and physical education. The Journal also publishes review articles and book reviews with the above themes.
Articles
68 Documents
THE EFFECTIVENESS OF GLUTEUS ACTIVATION AND CORE STABILITY FOR PATIENTS WITH LOW BACK PAIN: A LITERATURE REVIEW
Niam, Muhammad Azka;
Aditya, Ivan Fairuz;
Yulianti, Dwi;
Silmi, Roidha;
Rahman, Nurrozaan Hanif;
Akasi, Oriza Junio;
Pristianto, Arif
JTH: Journal of Technology and Health Vol. 2 No. 4 (2025): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v2i4.200
Low back pain (LBP) is a musculoskeletal pain condition in the lumbosacral area, located below the costal margin and above the inferior gluteal fold, commonly caused by unhealthy lifestyle habits and body mass index. This study aimed to examine the effectiveness of gluteus activation exercise and core stability exercise in patients with low back pain symptoms. The method involved administering trunk exercises in the form of core stability exercise (CSE), which is emphasized as a universal physiotherapy approach to optimize movement, transfer, pressure control, and activity performance. In addition, hip exercises in the form of gluteus activation were applied to activate weakened gluteal muscles due to prolonged static positions, which may lead to gluteal muscle alterations, thereby increasing the risk of lower extremity injuries and low back pain. The analysis showed that patients with low back pain who received gluteus activation intervention experienced a greater reduction in pain by -1.70 units compared to those who received trunk exercise (SMD = -0.46; 95% CI = -0.46 to 0.12), with results statistically significant (p < 0.00001). The heterogeneity of the studies was high (I² = 81%, random effects model). Conclusion: Gluteus activation exercise proved to be more effective in reducing low back pain compared to core stability exercise among patients with low back pain symptoms.
THE APPLICATION OF CONSTRAINT-INDUCED MOVEMENT THERAPY IN IMPROVING LOWER EXTREMITY FUNCTIONAL ABILITY IN POST-STROKE PATIENTS: A CRITICAL REVIEW
Rifai, Ahmad;
Amalina, Fildzah;
Atikasari, Dewi Ayu;
Nisa, Salma Fadila;
Anggraeni, Fitria Rizky;
Mahdiyah, Rahadyani Ridha;
Pristianto, Arif
JTH: Journal of Technology and Health Vol. 2 No. 4 (2025): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v2i4.201
Stroke is a disease that affects the arteries in the brain, often caused by a blood clot that blocks blood flow, disrupting the delivery of oxygen and nutrients to brain tissue. One of the common consequences in stroke patients is movement impairment, particularly walking difficulties due to muscle weakness and balance disorders. This study aims to evaluate the effectiveness of Constraint-Induced Movement Therapy (CIMT) compared to conventional therapy in improving lower extremity functional ability in post-stroke patients. The method used is a literature review with meta-analysis from seven studies obtained through a PICO-based search on PubMed and Google Scholar databases. The meta-analysis results showed that patients undergoing CIMT experienced significantly greater improvement in functional ability than those receiving conventional therapy (SMD = 0.74; 95% CI = 0.39 to 1.09; p < 0.00001). However, the high heterogeneity (I² = 96%) indicates substantial variability among studies in terms of design, population, and interventions. Therefore, the findings should be interpreted with caution and highlight the need for further research with more standardized designs.
SELF-REPORTED ANXIETY AND DEPRESSION SYMPTOMS UNDER COVID-19 LOCKDOWN: AN ALBANIAN EXPERIENCE
Akshija, Ilir
JTH: Journal of Technology and Health Vol. 2 No. 4 (2025): April: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v2i4.479
COVID-19 pandemic, a mostly similar public health issue from country to country represents social, economic and political specific conditions. We attempt through a questionnaire published in the social media Facebook during pandemic lockdown to give a scenery of anxiety and depression symptoms in an Albanian population segment. The questionnaire was constructed following the guidelines of an Islamic sacred text (hadith) known as “five before five”. The sample is considered a virtual snowball sample because some promoters served as seeds making possible to reach parts of the population otherwise impossible to reach making it a sequential experiment ended based on risk of questionnaire misuse. The number or responders (N=1,376) were female 66.6%, age (M=34.9; SD=10.2) and males, age, (M=38.2; SD=10.8). Increase in self-reported anxiety and depression symptoms was common, 851 (61.8%) of responders. Linear logistic regression model shows the relationship of each dimension (health, wealth and free time) to other dimensions’ questions making a presumption to use the present model while retrieving data from other sources for future evaluation of anxiety and depression in a population. For a cut-off value for all dimensions change from baseline of 0.425, Sensitivity (S) was 0.749 and specificity (Sp) was 0.429, raising the problem of missing false negatives with increasing symptoms of anxiety and depression. While television and social media are helpful during a pandemic, the risk of misuse for political and other gains is present too. The citizen in need of recommendations is expected to collaborate but attentive not to abuse his/her trust.
QUANTITATIVE ANALYSIS OF TECHNOLOGICAL DEVELOPMENT AND ITS IMPACT ON SOCIOECONOMIC GROWTH IN THE PHILIPPINES
Maria Ysabel Dela Cruz
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v3i2.256
This study investigates the impact of government investments in Information and Communication Technology (ICT) on digital inclusion and socioeconomic development in the Philippines. Despite increasing national attention to digital transformation, there remains limited quantitative evidence linking public ICT spending to tangible improvements in inclusive digital access and broader development outcomes. This study aims to fill that gap by providing a country-specific, data-driven analysis that evaluates both the economic and social dimensions of ICT policy effectiveness. Using a quantitative research design, secondary data from national and international sources were analyzed through multiple linear regression models. Key variables included public ICT investment, digital literacy rates, broadband access, GDP growth, employment rate, and income inequality (GINI index). The results indicate that government ICT investments significantly enhance digital inclusion, which in turn has a positive and statistically significant impact on GDP growth and employment, while contributing to the reduction of income inequality. These findings support the hypothesis that ICT policies, when properly designed and implemented, can drive inclusive economic growth. The study also reveals that digital inclusion acts as a mediating factor between technology infrastructure and socioeconomic outcomes. The novelty of this research lies in its integration of digital equity considerations with macroeconomic indicators within a single empirical framework, offering evidence-based insights for policy formulation. It contributes to the global discourse on digital development by demonstrating how national ICT strategies can be leveraged to promote both technological advancement and social equity.
THE ROLE OF INFORMATION TECHNOLOGY IN MALAYSIA’S DIGITAL EDUCATION POST-PANDEMIC
M. Khairi Mahyudin;
Sam Hermansyah
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v3i2.282
This study explores the evolving role of digital technology in Malaysia’s education system in the aftermath of the COVID-19 pandemic. The primary objective is to assess how information and communication technologies (ICT) have been integrated into teaching and learning practices across different educational levels, and to evaluate the effectiveness, challenges, and equity implications of digital transformation in Malaysian schools. Employing a qualitative research approach through a systematic literature review (SLR), this study synthesizes findings from recent academic research, policy documents, and empirical reports published between 2020 and 2025. Data were analyzed using thematic content analysis to identify patterns related to access, pedagogy, institutional readiness, and policy direction. The findings reveal that while Malaysia has made significant strides in digital infrastructure development and teacher ICT readiness, issues such as the digital divide, unequal access in rural areas, and gaps in digital pedagogy persist. Teachers generally report increased digital competency, but many still face challenges in implementing student-centered, technology-enhanced instruction due to limited resources and institutional support. Leadership and policy alignment play a critical role in the success or stagnation of digital initiatives. The novelty of this study lies in its integrated, multi-level analysis of Malaysia’s digital education transformation, incorporating recent developments in leadership, AI integration, and equity-focused policy. It offers a forward-looking perspective on building a sustainable, inclusive digital learning ecosystem. The study concludes that meaningful progress depends not only on technology availability but also on systemic reforms that prioritize equity, innovation, and capacity building at all levels of education.
DATA SECURITY STRATEGY BASED ON STORED PROGRAMS: A CASE STUDY OF DSS FOR TEACHING ASSISTANT SELECTION
Prahenusa Wahyu Ciptadi;
Tri Hastono;
Gema Kharismajati;
Firdiyan Syah;
Nayaka Anung Fahriza
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v3i2.365
Data security is increasingly crucial in managing information systems, especially in academic environments handling sensitive data. The reliance on digital systems demands protection of data integrity, confidentiality, and availability. Educational institutions must secure student, faculty, and administrative data to prevent unauthorized access and manipulation. One system requiring high security is the Decision Support System (DSS) for Teaching Assistant selection. DSS helps determine candidates based on GPA, experience, and skills. However, it is vulnerable to unauthorized data changes, access abuse, SQL Injection, and cyber threats that may affect decision accuracy. Stored Programs in databases provide an effective solution for enhancing data security. With Stored Procedures, Functions, Triggers, and Events, data management becomes more secure and structured. These features enable stricter access control, database operation automation, and direct validation to reduce errors and misuse. In the DSS case study, Stored Programs ensure that only authorized users can access and modify data. Authentication and authorization mechanisms restrict access based on user roles. This study analyzes security risks, system architecture design, Stored Program implementation, and its effectiveness in maintaining data integrity. Research results confirm that the developed Stored Programs meet expectations. The CRUD feature operates optimally with a processing time of 0.0059 seconds.
DEVELOPMENT OF A LOCATION AND WIFI-BASED SMART ATTENDANCE SYSTEM: A CASE STUDY OF EMPLOYEES AT UNIVERSITAS PGRI YOGYAKARTA
Khairul Nur Syahlan;
Wibawa;
Puji Handayani Putri
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v3i2.392
The development of information technology has brought significant changes in various aspects of life, including employee attendance systems. Conventional fingerprint-based attendance still has several issues, such as dependence on physical contact, which poses a risk for disease transmission, and accuracy problems due to the cleanliness and humidity of fingerprints. Therefore, this research aims to design and implement an attendance system based on location and WiFi, with the addition of face recognition technology to improve efficiency and accuracy in recording employee attendance at the Universitas PGRI Yogyakarta. The research methods used include literature study, interviews, and system testing through alpha testing with 20 respondents. The results show that this attendance system received positive feedback from users, with 98% of respondents stating that the system's interface was good, 90% evaluating the system as working optimally, and 89% expressing overall satisfaction with the user experience. This system is able to reduce the potential for fraud, improve attendance accuracy, and simplify the data recap process. However, there are some challenges in implementation, such as reliance on network connectivity and GPS accuracy, as well as difficulties in facial recognition under certain lighting conditions. Therefore, further development is needed, such as improving network stability, optimizing face recognition technology, and providing socialization and training for users. With the results obtained, this system is expected to be an effective solution to improve the efficiency and accuracy of employee attendance in the workplace.
UTILIZATION OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) FOR LANDSLIDE RISK MAPPING IN MOUNTAINOUS AREAS
Elenara Vassanti
JTH: Journal of Technology and Health Vol. 3 No. 2 (2025): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing
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DOI: 10.61677/jth.v3i2.482
This study aims to map landslide disaster risk in mountainous areas by integrating Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP) method. Using a spatially-based quantitative-descriptive approach, the study evaluates seven key parameters: slope, lithology, rainfall, land use, elevation, population density, and road proximity. Data were analyzed through spatial layer overlay and validated against 50 historical landslide points. Results indicate that 34.5% of the area falls under high to very high-risk zones. ROC validation yielded an Area Under Curve (AUC) score of 0.82, indicating high model accuracy. The study also assesses community risk perception and adaptive capacity, revealing a notable discrepancy between subjective awareness and objective risk maps. Few respondents were aware of official risk maps, and community preparedness remained limited. The novelty of this research lies in its systematic integration of physical, social, and adaptive capacity aspects within a spatial framework. The findings recommend the development of participatory, GIS-based early warning systems aligned with local policy frameworks. This model shows strong potential for replication in other disaster-prone mountainous regions globally.