International Journal of Health, Engineering and Technology
International Journal of Health, Engineering and Technology (IJHET) is to provide research media and an important reference for the progress and dissemination of research results that support high-level research in the field of Health, Engineering and technology. Original theoretical work and application-based studies, which contribute to a better understanding of all areas of Health, Engineering and Technology , the journal publishes articles six times a year in May, July, September, November, January and March. Scope: International Journal of Health, Engineering and Technology (IJHET) is to provide a research medium and an important reference for the advancement and dissemination of research results that support high-level research in the fields of Health, Engineering and Technology Research. Original theoretical work and application-based studies, which contributes to a better understanding all fields of Health, Engineering and Technology Research. Healt : Clinical Nutrition, Community Nutrition, Institutional Nutrition, Food Technology, Food Security, Pediatric Physiotherapy, Geriatric Physiotherapy, Cardiovascular and Pulmonary Physiotherapy, Musculoskeletal Physiotherapy, Sports Physiotherapy, Public Health, Community Sanitation, Environmental Health, Nursing, Biology, Medicine, Pharmacy. Engineering : The field of mechanical Engineering include expertise in energy conversion, construction machinery, manufacturing and materials. The field of Electrical Engineering which includes skills power engineering, telecommunications engineering and information, as well as control and instrumentation. The field of Chemical Engineering which includes expertise in the field of new and renewable energy, the environment field. The field of Civil Engineering which includes expertise in the fields of structural, geotechnical, transportation and water. The field of Metallurgical Engineering which includes expertise in extraction, manufacturing and characterization of materials. The field of Industrial Engineering which includes enterprise management system, working system and the ergonomics and manufacturing systems. Technology: Open Source Application, Information Management, Information System, IT & Social Impact, Geographical Information System, Web Engineering, Database Design & Technology, Data Warehouse, Network Security, Data Mining, Computer Architecture Design, Mobile Programming.
Articles
757 Documents
<![CDATA[Antioxidant Activity And Tirosinase Inhibition Extract Of Red Shoot Leaves (Syzygium myrtifolium) ]]>
<![CDATA[Inesha Viata Melika Purba]]>;
<![CDATA[Edy Fachrial]]>;
<![CDATA[Roy Indrianto Bangar S]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.927
<![CDATA[Skin aging is a natural process accelerated by free radical exposure, UV radiation, and environmental pollution, necessitating effective and safe anti-aging agents. This study aimed to evaluate the potential of red shoot leaves ethanol extract (Syzygium myrtifolium) as anti-aging through antioxidant activity and tirosinase enzyme inhibition assays in vitro. Extraction was performed by maceration using 70% ethanol (1:10) for 12 hours, centrifuged, sonicated, and concentrated using a rotary evaporator. Phytochemical skrining identified flavonoids, alkaloids, saponins, tannins, and triterpenoids. DPPH antioxidant assay showed inhibition percentages of 96.17–99.49% at concentrations of 200-800 ppm. Tirosinase inhibition test resulted in 82.54% inhibition. These results demonstrate that red shoot leaves extract has dual anti-aging potential through antioxidant protection and melanogenesis inhibition mechanisms. This study provides scientific basis for developing anti-aging cream formulations based on safe and sustainable local natural ingredients]]>
<![CDATA[The Relationship Between Work Posture And Repetitive Movements With Musculoskeletal Disorders (MSDs) Among Management Department Employees At Prof. Dr. H. M. Chatib Quzwain Regional General Hospital, Sarolangun ]]>
<![CDATA[Alda Deninta Regina]]>;
<![CDATA[Budi Aswin]]>;
<![CDATA[Hendra Dhermawan Sitanggang]]>;
<![CDATA[Muhammad Syukri]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.932
<![CDATA[Musculoskeletal Disorders (MSDs) are musculoskeletal system disorders affecting muscles, joints, tendons, and supporting tissues that may arise due to non-ergonomic working postures and repetitive occupational activities. Hospital management employees are considered a high-risk group for MSDs because their work predominantly involves prolonged sitting and extensive computer use. This study was conducted to examine the association between work posture and repetitive movements with the occurrence of Musculoskeletal Disorders (MSDs) among management employees at Prof. Dr. H.M. Chatib Quzwain Regional Hospital, Sarolangun. An analytical observational study with a cross-sectional design was employed. The study involved 31 respondents selected through purposive sampling. Data were obtained using the Nordic Body Map (NBM) questionnaire to identify MSD complaints, the Rapid Upper Limb Assessment (RULA) method to evaluate work posture, and direct observation to assess repetitive work activities. Data analysis was carried out using univariate and bivariate techniques with the Chi-Square test at a 95% confidence level. The findings revealed that 58.1% of respondents experienced moderate MSD complaints, 80.6% demonstrated high-risk work postures, and 54.8% engaged in repetitive work activities categorized as risky. The bivariate analysis showed that work posture was not significantly related to MSD occurrence (p = 0.656), whereas repetitive movements had a significant association with MSDs (p = 0.022). These findings indicate that repetitive work activities play a more substantial role in the development of MSDs than work posture among hospital management employees. Therefore, the implementation of ergonomic workplace practices and adequate rest periods is recommended to minimize the risk of MSDs.]]>
<![CDATA[Management Of Grade II Tooth Mobility Associated With Chronic Periodontitis Using A Fiber-Reinforced Composite Resin Extracoronal Splint: A Case Report ]]>
<![CDATA[Azzah Putri Farohyani]]>;
<![CDATA[Edi Karyadi]]>;
<![CDATA[Aprilia Yuanita Anwaristi]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.933
<![CDATA[Chronic periodontitis is defined as an inflammatory condition of the periodontal tissues caused by specific subgingival microorganisms, resulting in the progressive destruction of the periodontal ligament and supporting tissues of the teeth. The primary clinical characteristic of chronic periodontitis is detectable clinical attachment loss, often accompanied by periodontal pocket formation and changes in the density and height of the alveolar bone. This condition may lead to pathological tooth migration, resulting in diastema formation and increased tooth mobility, which can ultimately cause tooth loss. Increased tooth mobility may negatively affect masticatory function, aesthetics, and patient comfort. One of the treatment modalities used to stabilize mobile teeth is splinting. Splinting combined with occlusal adjustment is intended to reduce and control the progression of tooth mobility. Case Report: A 54-year-old female patient presented to Soelastri Dental Hospital with a chief complaint of mobility of the lower anterior teeth that had been present for approximately six months. The patient reported that the teeth felt loose during mastication, particularly when contacting the maxillary teeth. Intraoral examination revealed Grade 2 tooth mobility in teeth 32, 31, 41, and 42. Bleeding on probing was observed in the mandibular anterior region. Periodontal pocket depths around teeth 32, 31, 41, and 42 ranged from 5 to 6 mm. Radiographic examination demonstrated alveolar bone loss associated with these teeth. Management of this case involved the placement of a fiber-reinforced composite splint extending from teeth 33 to 43. Fiber splinting was selected because of its advantages, including high mechanical strength, excellent adhesive properties, biocompatibility, satisfactory esthetics, and ease of clinical application. Evaluation one week after splint placement showed favorable outcomes, with no signs of gingival inflammation or food impaction in the splinted area, as well as satisfactory occlusal relationships.]]>
<![CDATA[Success Rate And Survival Of Resin-Bonded Fixed Dental Prostheses In The Anterior Region: A Literature Review ]]>
<![CDATA[Galang Eka Nusa Wibowo]]>;
<![CDATA[Owin Bambang]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.934
<![CDATA[Loss of anterior teeth may affect mastication, phonetics, esthetics, and the patient’s quality of life, thereby requiring appropriate rehabilitation. One of the treatment options widely used is resin-bonded fixed dental prosthesis (RBFDP) due to its minimally invasive and conservative nature, as well as its favorable esthetic outcomes. This literature review aims to evaluate the success and survival rates of RBFDPs in the anterior region based on recent scientific publications. This study employed a qualitative descriptive approach through literature searches in PubMed, Google Scholar, ScienceDirect, and Wiley Online Library databases using articles published between 2020 and 2026. Article selection was carried out based on predetermined inclusion and exclusion criteria, and the data were analyzed descriptively. RBFDPs demonstrate high success and survival rates in the anterior region, particularly in ceramic-based restorations and cantilever designs. Factors influencing success include the type of material, retainer design, quality of adhesion, occlusal conditions, patient oral hygiene, and the clinical techniques applied. The most commonly reported complications are debonding and retainer fracture. RBFDPs represent an effective and conservative rehabilitation option capable of providing favorable long-term functional and esthetic outcomes in cases of anterior tooth loss.]]>
<![CDATA[Analysis Of Cpu And Memory Usage In Monitoring-Based Operating Systems Using Python ]]>
<![CDATA[Alviyyah Julianti]]>;
<![CDATA[Teti Desyani]]>;
<![CDATA[Tasya Putri Aini]]>;
<![CDATA[Irvan Maulana]]>;
<![CDATA[Didin Nugraha]]>;
<![CDATA[Rayhan Frenalzy]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.999
<![CDATA[Monitoring computer resource usage, particularly the central processing unit (CPU) and memory, is a crucial aspect in maintaining the performance and stability of an operating system. This study aims to analyze CPU and memory usage in real-time using the Python programming language as the primary tool. The method used involves collecting system resource usage data through Python libraries, such as psutil, followed by data processing and visualization to obtain an overview of usage patterns. The results show that Python is capable of providing accurate and efficient information regarding CPU and memory usage conditions, thus providing a basis for decision-making to optimize system performance. Furthermore, the developed monitoring system is flexible, easy to use, and can be implemented on various operating system platforms. Therefore, this study is expected to contribute to the development of a simple yet effective resource monitoring system. (Monitoring computer resource usage, particularly the central processing unit (CPU) and memory, is a crucial aspect in maintaining the performance and stability of an operating system. This study aims to analyze CPU, and memory usage in real time using the Python programming language as the primary tool. The method used involves collecting system resource usage data through Python libraries, such as psutil, followed by data processing and visualization to obtain an overview of usage patterns. The results show that Python is capable of providing accurate and efficient information regarding CPU and memory usage conditions, thus providing a basis for decision-making to optimize system performance. Furthermore, the developed monitoring system is flexible, easy to use, and can be implemented on various operating system platforms. Thus, this research is expected to contribute to the development of a simple yet effective resource monitoring system.]]>
<![CDATA[Mapping Of Aboveground Biomass Estimation Based On Vegetation Index In Banjarbaru City ]]>
<![CDATA[Sukmawati Sukmawati]]>;
<![CDATA[Muhammad Efendi]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.1016
<![CDATA[Climate change increases the importance of aboveground biomass information as an indicator of carbon stocks and a basis for urban vegetation management. This study aims to determine the best model for estimating aboveground biomass using Sentinel-2 imagery-based vegetation indices and to map biomass distribution in Banjarbaru City. The study uses a quantitative approach with remote sensing-based spatial analysis. The study population is all woody vegetation in Banjarbaru City, while the sample consists of 45 plots determined using stratified random sampling. The research instruments include Diameter at Breast Height (DHT), tree height, Global Positioning System (GPS), and Sentinel-2B Level-2A imagery. Data analysis was carried out through biomass calculations using allometric equations, Pearson correlation analysis, linear, exponential, polynomial, and power regressions, regression assumption testing, model validation using SA, SR, RMSE, bias, and chi-square, and spatial mapping. The results showed that the Linear SAVI model was the best model with the equation B = -287.341 + 517.644 SAVI and an R² value of 0.905. In conclusion, the Linear SAVI model is able to provide accurate and representative biomass estimates, while the application of masking improves the quality of biomass mapping, thereby supporting carbon inventory and green open space planning.]]>
<![CDATA[Determinants Of Fruit And Vegetable Consumption Based On The Health Belief Model In Students Of Dharma Karya Junior High School, South Tangerang City, Banten ]]>
<![CDATA[Keysha Adelya]]>;
<![CDATA[Rifa Salsa Nabilla]]>;
<![CDATA[Najwa Nurrahmah]]>;
<![CDATA[Luqman Effendi]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.1018
<![CDATA[Fruit and vegetable consumption among adolescents in Indonesia is still relatively low and has the potential to cause various health problems in the future. This study aims to describe the determinants of fruit and vegetable consumption based on the Health Belief Model (HBM) in junior high school students of Dharma Karya UT in South Tangerang City, Banten. The study used a descriptive method with a quantitative approach. The study sample consisted of 50 students selected using a total sampling technique. Data collection was conducted using a pre-test questionnaire that measured five HBM constructs: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and self-efficacy. Data analysis was conducted descriptively using frequency distributions, percentages, and average values. The results showed that the majority of respondents had good fruit and vegetable consumption behavior at 56.0%. In the HBM construct, perceived benefits had the highest percentage at 82.0%, followed by self-efficacy at 75.2%, perceived severity at 70.3%, and perceived susceptibility at 66.8%. Meanwhile, perceived barriers had the lowest percentage at 52.0%, indicating that there are still obstacles in getting used to consuming fruits and vegetables among adolescents. The conclusion of this study shows that the determinants of fruit and vegetable consumption based on the Health Belief Model in Dharma Karya UT Middle School students are generally in the quite good category, but perceived barriers are still a factor that needs attention in efforts to increase fruit and vegetable consumption among adolescents.]]>
<![CDATA[Design And Construction Of A Web-Based Point Of Sale Application For The Bakso Cirawang Rayu Business Using The Extreme Programming Method ]]>
<![CDATA[Katresna Asterina Latifa]]>;
<![CDATA[Yudhi Raymond Ramadhan]]>;
<![CDATA[Muhammad Rafi Muttaqin]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.1020
<![CDATA[Manual transaction management in culinary MSMEs still causes various obstacles, such as recording errors, transaction calculations, and sales data management. This study aims to design and build a web-based Point of Sale (POS) application at Bakso Cirawang Rayu using the Extreme Programming method. This study uses the Extreme Programming (XP) method in application development. The scope of the study focused on the process of recording orders, sales transactions, transaction history, sales reports, and estimating soup availability. The research instruments were in the form of interview guidelines, observations, and literature studies. Data were analyzed descriptively to identify user needs as a basis for system design. The results showed that the application was successfully developed with login features, dashboards, menu management, cashier management, sales transactions, reports, and soup availability estimation. Test results showed that all features functioned according to their functions, thus supporting the transaction process and sales data management. In conclusion, the web-based POS application developed using Extreme Programming was able to improve operational efficiency, reduce human error, and assist decision making at Bakso Cirawang Rayu.]]>
<![CDATA[Effectiveness Of Red Ginger Herbal Beverage As A Biomarker-Based Occupational Health Intervention On Blood Lactic Acid Levels Among Trans Metro Pekanbaru Bus Drivers With Low Back Pain ]]>
<![CDATA[Yuharika Pratiwi]]>;
<![CDATA[Bintang Ramadhani]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.1023
<![CDATA[Low back pain (LBP) is one of the most common musculoskeletal disorders among transportation workers, particularly bus drivers. Prolonged sitting posture, non-ergonomic working conditions, and continuous exposure to whole-body vibration contribute to impaired muscle perfusion and increased anaerobic metabolism, resulting in elevated blood lactate levels. Red ginger (Zingiber officinale var. rubrum) contains bioactive compounds such as gingerol and shogaol, which possess anti-inflammatory, antioxidant, and vasodilatory properties that may facilitate lactate clearance and reduce muscle pain. To evaluate the effectiveness of red ginger beverage on blood lactate levels among bus drivers with low back pain. This study used a quasi-experimental design with a pretest-posttest control group approach. A total of 60 Trans Metro Pekanbaru bus drivers with LBP were divided into an intervention group (n=30) and a control group (n=30). The intervention group received a red ginger beverage containing 10 g of red ginger in 100 mL of solution, while the control group received a beverage without the active components of red ginger. Blood lactate levels were measured before and after the intervention using the Accutrend® Plus device. Data normality was assessed using the Shapiro–Wilk test. Within-group differences were analyzed using the Wilcoxon signed-rank test, while between-group differences were analyzed using the independent t-test and Mann–Whitney test. Before the intervention, mean blood lactate levels were relatively comparable between the intervention group and the control group, with values of 3.01±0.65 mmol/L and 2.98±0.66 mmol/L, respectively. There was no significant difference in baseline blood lactate levels between the two groups (p=0.841 by Mann–Whitney test). After the intervention, blood lactate levels decreased in both groups. The intervention group showed a greater reduction, from 3.01±0.65 mmol/L to 1.99±0.31 mmol/L, with a mean decrease of 1.02±0.45 mmol/L. In the control group, blood lactate levels decreased from 2.98±0.66 mmol/L to 2.59±0.58 mmol/L, with a mean decrease of 0.39±0.22 mmol/L. The Mann–Whitney test showed a significant difference in post-intervention blood lactate levels between the intervention and control groups (p<0.001), with lower lactate levels observed in the intervention group. The administration of red ginger beverage had an effect on reducing blood lactate levels among TMP bus drivers with low back pain. The reduction in blood lactate levels was greater in the intervention group than in the control group, suggesting that red ginger beverage has the potential to be used as a supportive non-pharmacological intervention to reduce muscle pain among bus drivers with low back pain.]]>
<![CDATA[Explainable AI-Based Diabetes Mellitus Risk Prediction Using Naive Bayes and Support Vector Machine ]]>
<![CDATA[Putu Hawariyah]]>;
<![CDATA[Sudin Saepudin]]>;
<![CDATA[Gina Syabani Yuda]]>
<![CDATA[ International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026 ]]>
Publisher : <![CDATA[CV. AFDIFAL MAJU BERKAH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55227/ijhet.v5i2.1025
<![CDATA[Diabetes Mellitus (DM) is a chronic metabolic disease that continues to increase globally and requires effective early detection to reduce the risk of serious complications. Machine learning has been widely adopted as an approach for predicting diabetes risk; however, most existing models are still black-box in nature, making them difficult to interpret and less useful for clinical decision-making. In addition, the problem of class imbalance in medical datasets often causes models to be biased toward the majority class, reducing their sensitivity in detecting high-risk patients. This study aims to develop and compare diabetes risk prediction models using the Naive Bayes and Support Vector Machine (SVM) algorithms with an Explainable Artificial Intelligence (XAI) approach. Class imbalance was addressed using the Synthetic Minority Over-sampling Technique (SMOTE) applied to the training data. Interpretability was analyzed using SHAP (SHapley Additive exPlanations) for global feature importance and LIME (Local Interpretable Model-agnostic Explanations) for local instance-level explanations. The dataset used was the Diabetes Health Indicators Dataset from the BRFSS 2015 survey, publicly available on Kaggle, with a sample of 50,000 records and 22 variables. Evaluation results showed that SVM achieved an accuracy of 84.17%, while Naive Bayes achieved a higher recall of 77.76%, indicating better sensitivity in detecting diabetes cases. SHAP analysis identified GenHlth, HighBP, BMI, HighChol, and Age as the most influential risk factors globally, while LIME provided individual-level explanations. This research contributes a prediction model that is not only accurate but also transparent and clinically interpretable.]]>
