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[Scoping Review: The Effectiveness Of Sanitation Interventions In Addressing Waterborne Diseases In Vulnerable Communities ]]>
<![CDATA[Yusrina Nur Rahma]]>;
<![CDATA[Dewi Purnamawati]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.947
<![CDATA[Waterborne diseases remain a serious public health concern in vulnerable communities, particularly in areas with inadequate sanitation. WHO reported approximately 505,000 diarrhea-related deaths annually due to unsafe drinking water. Indonesia's 2023 Health Survey showed diarrhea prevalence of 4.3% across all age groups. This scoping review aims to critically map and evaluate the effectiveness of various sanitation interventions in combating waterborne diseases in vulnerable communities based on current scientific evidence. The scoping review followed the Arksey and O'Malley (2005) framework, strengthened with JBI guidance, and reported using PRISMA-ScR guidelines. Searches were conducted through Google Scholar, PubMed, and Scopus (2020-2025). Sixteen articles were analyzed using descriptive thematic analysis. Multi-component sanitation interventions combining behavioral change with infrastructure provision demonstrated higher effectiveness than single interventions. Point-of-use water treatment reduced diarrhea risk by up to 50%, while handwashing with soap reduced risk by 30%. CLTS/STBM programs significantly improved latrine coverage and reduced diarrhea prevalence. Intervention effectiveness was moderated by seasonal variation, geographic context, and community participation levels. Multi-component approaches integrating behavioral change, infrastructure improvement, and institutional strengthening proved most effective. Significant research gaps exist regarding long-term sustainability, cost-effectiveness analysis, and climate change adaptation.]]>
<![CDATA[Signalized Intersection Optimization Using PKJI 2023 And Webster For Emission Reduction ]]>
<![CDATA[Novian Auruma Ramdhan]]>;
<![CDATA[Irfan Hardiansyah]]>;
<![CDATA[Veronica Veronica]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.951
<![CDATA[This research is motivated by the increasing traffic volume in Bantul Regency, which has led to a decline in the performance of signalized intersections and an increase in motor vehicle emissions. The purpose of this study is to evaluate the performance of Klangon 3-way intersection, Sedayu 4-way intersection, and Pedes 4-way intersection and to analyze the effectiveness of optimization using PKJI 2023 and the Webster method on traffic performance and emissions. This study uses a quantitative, descriptive, evaluative approach. The study population is all vehicle flows at signalized intersections, while the sample is determined by purposive sampling based on high-volume intersections during peak hours. The research instruments include a CTMC survey, intersection inventory forms, and geometric measurements. Data analysis techniques are carried out using PKJI 2023 to calculate capacity, degree of saturation, delay, and queue length, as well as the Webster method for signal time optimization, followed by emission estimation based on the LAPI-ITB model. The results showed that the Webster method significantly reduced delays and queue lengths, while the combined scenario provided the best results, with a delay reduction of up to 66.29 percent and reduced emissions due to reduced vehicle idle time. The study concluded that signal optimization and intersection geometric improvements are effective in improving traffic performance while reducing vehicle emissions.]]>
<![CDATA[Design Of A Drinking Water Feasibility Identification System Using The Random Forest Algorithm And Principal Component Analysis (PCA) ]]>
<![CDATA[Khusnul Karomah]]>;
<![CDATA[Asrul Abdullah]]>;
<![CDATA[Barry Ceasar Octariadi]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.952
<![CDATA[Clean and safe drinking water is a basic need for society. Based on clean water statistical data from Statistic Indonesia (BPS), the average percentage of households in West Kalimantan Province with access to safe drinking water sources in urban areas was 89.21%, while in rural areas it was 77.76% in 2023. With a population growth that outpaces the available reserves of safe drinking water, there is a clear need to monitor and analyze water quality more carefully and on a data-driven basis. This research aims to design and implement a drinking water suitability classification system using the Random Forest method as the main classification algorithm, with Principal Component Analysis (PCA) serving as the data dimensionality reduction technique. The interactive visualization was built using Python and Streamlit, taking into account User Interface (UI) and User Experience (UX) aspects, which are divided into two access levels: Public Access (for the community) and Officer Access (for agencies). Water quality data is identified based on standards from the Ministry of Health (Permenkes No. 492/MENKES/PER/IV/2010), reduced in dimensionality using PCA, and subsequently classified for its suitability using Random Forest. The test results demonstrate that this system is capable of classifying the suitability status with an accuracy of 95.35%. to ensure the model does not experience overfitting, K-Fold Cross-Validation (5-Fold) testing was conducted, yielding an average accuracy of 94.94% and proving the model’s stability. Furthermore, the User Acceptance Testing (UAT) results indicate an excellent level of user acceptance regarding the bulk upload feature and the monitoring of drinking water quality in a fast, accurate, and data-driven manner.]]>
<![CDATA[The Role Of Periapical Radiography In Identifying Channel Configurations Type II Vertucci Root In The First Premolar Tooth Of The Maxim ]]>
<![CDATA[Radetyo Bhumyang Pandu Wirayudha]]>;
<![CDATA[Nilasary Rochmanita Suparno]]>;
<![CDATA[Aditya Varenka Putra Niardhy]]>;
<![CDATA[Cahyani Cahyani]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.953
<![CDATA[The first premolar maxillary has a complex diversity of root canal configurations. Identification of the proper root canal configuration greatly determines the success of endodontic treatment. Periapical radiography remains an easily accessible and useful examination to detect the possibility of more than one root canal through radiograph retrieval with the principle of Same Lingual Opposite Buccal, i.e. horizontal angulation changes and canal shadow variation analysis. To report the role of periapical radiography in identifying the configuration of the Vertucci root canal type II in the first premolar of the maxillary and its implications for endodontic management. A 39-year-old male came in with a complaint of cavities in the first premolar tooth of the left maxillary (Tooth 24). Initial periapical radiographs show the suspicion of the presence of more than one root canal. Taking radiographs with angulation variations helps to clarify the relationship of the root canal, which appears to be separate in the coronal and middle part of the root and then merge before reaching the apex, according to the Vertucci type II configuration. The radiography findings were used as a basis for determining treatment strategies and were confirmed on postoperative radiographs. Periapical radiography with angulation variations and SLOB principles remains valuable in detecting type II Vertucci configurations and aiding in the planning and implementation of more accurate root canal treatments.]]>
<![CDATA[The Effect Of Educational Videos About Anemia On The Knowledge Of Pregnant Women In The Working Area Of Telaga Dewa Public Health Center, Bengkulu City ]]>
<![CDATA[Helfeni Helfeni]]>;
<![CDATA[Asmariyah Asmariyah]]>;
<![CDATA[Suriyati Suriyati]]>;
<![CDATA[Linda Yusanti]]>;
<![CDATA[Rini Mustikasari Kurnia Pratama]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.954
<![CDATA[Anemia in pregnant women remains a significant health problem that can increase the risk of complications for both mother and fetus. Low levels of knowledge among pregnant women are one of the contributing factors to the occurrence of anemia. Therefore, effective educational media are needed, one of which is video-based education. This study aimed to determine the effect of an educational video about anemia on improving the knowledge of pregnant women at Telaga Dewa Public Health Center, Bengkulu City. This study used a pre-experimental design with a one-group pretest-posttest approach. A total of 107 pregnant women were selected using purposive sampling technique. Data were collected using a questionnaire to measure the level of knowledge before and after the intervention. Data analysis was conducted using normality test and paired t-test. The results showed that before the intervention, most respondents had a moderate level of knowledge with a mean score of 21.03. After receiving education through video, all respondents were categorized as having good knowledge with the mean score increasing to 26.79. The normality test indicated that the data were normally distributed (p=0.178 > 0.05). The paired t-test showed a significance value of 0.000 (<0.05) with a mean difference of -5.757, indicating a significant increase in knowledge after the intervention. In conclusion, educational videos about anemia are effective in improving the knowledge of pregnant women and can be used as an alternative method of delivering health education to prevent anemia during pregnancy.]]>
<![CDATA[Literature Review: The Relationship Between Dietary Patterns, Physical Activity, And Medication Compliance With The Increase In Blood Sugar Levels In Diabetes Mellitus Patients ]]>
<![CDATA[Rahayu Rahayu]]>;
<![CDATA[Hana Putri Pratiwi]]>;
<![CDATA[Rifky Adhitya Abdillah]]>;
<![CDATA[Ni Wayan Wiwin Asthiningsih]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.958
<![CDATA[Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia due to impaired insulin secretion or action. Blood glucose control in patients with type 2 diabetes mellitus is influenced by various factors, including dietary patterns, physical activity, medication adherence, as well as psychosocial factors such as stress and family support. This study used a literature review method by searching scientific articles through Google Scholar, PubMed, and ScienceDirect within the publication period of 2022–2026. Selected articles focused on the relationship between diet, physical activity, and medication adherence with blood glucose levels in patients with type 2 diabetes mellitus. The review findings indicate that most studies show a significant relationship between dietary patterns, physical activity, and medication adherence with blood glucose levels. Physical activity and dietary adherence contribute to better glycemic control, while medication adherence shows inconsistent results. Other factors such as family support, stress levels, and smoking habits also influence blood glucose stability. Blood glucose control in diabetes mellitus is multifactorial. Proper diet and regular physical activity improve insulin sensitivity and glucose metabolism. Medication adherence is important, but not always directly associated with glycemic control due to the influence of individual and lifestyle factors. Dietary patterns, physical activity, and medication adherence play important roles in controlling blood glucose levels in patients with type 2 diabetes mellitus, although results are not always consistent. Diabetes management requires a comprehensive approach including lifestyle modification and psychosocial support.]]>
<![CDATA[The Relationship Between Vitamin D Intake In Toddlers Aged 6–24 Months And The Severity Of Stunting ]]>
<![CDATA[Baiq Viona Arij Inas Zahra]]>;
<![CDATA[Lina Nurbaiti]]>;
<![CDATA[Amelia Ramdani Hasby]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.959
<![CDATA[Stunting is one of the major nutritional problems in Indonesia, with a prevalence of 21.6% based on the 2022 Indonesian Nutritional Status Survey (SSGI). Vitamin D deficiency may contribute to impaired child growth and increased severity of stunting. To analyze the relationship between vitamin D intake and the severity of stunting among children aged 6–24 months in the working area of Bagu Public Health Center, Central Lombok Regency. Methods: T This study used a cross-sectional design involving 43 mothers with stunted and severely stunted toddlers selected through total sampling. Vitamin D intake was assessed using a 24-hour food recall method and analyzed with NutriSurvey 2007. Data were analyzed using Spearman’s Rank Correlation test with a significance level of α = 0.05. This study used a cross-sectional design involving 43 mothers with stunted and severely stunted toddlers selected through total sampling. Vitamin D intake was assessed using a 24-hour food recall method and analyzed with NutriSurvey 2007. Data were analyzed using Spearman’s Rank Correlation test with a significance level of α = 0.05. There was no significant relationship between vitamin D intake and the severity of stunting (p = 0.595; rₛ = 0.083). Most toddlers were aged 12 to <24 months (97.7%), male (58.1%), had received supplementary feeding programs (100%), and had a history of recurrent infections (67.4%). All toddlers had vitamin D deficiency (100%), with the main dietary sources derived from animal-based foods (74.4%). Vitamin D intake was not significantly associated with the severity of stunting among toddlers in the working area of Bagu Public Health Center, Central Lombok Regency.]]>
<![CDATA[The Effect Of Audio-Visual-Based Education About Spinal Anesthesia On The Level Of Anxiety Of Pre-Operative Patients At Kardinah Tegal Hospital ]]>
<![CDATA[Ihyaul Arofah]]>;
<![CDATA[Amin Susanto]]>;
<![CDATA[Atun Raudotul Ma’rifah]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.960
<![CDATA[Preoperative anxiety is a condition that can potentially endanger patients and is often caused by a lack of information regarding anesthesia procedures. The advancement of technology enables the delivery of health education through audiovisual media that combines moving images and sound. At RSUD Kardinah Tegal, preoperative education is still delivered through anesthesia information forms and has not yet utilized video-based media. This study aims to analyze the effect of audiovisual-based education about spinal anesthesia on the level of preoperative patient anxiety at RSUD Kardinah Tegal. This study employed a quantitative method with a quasi-experimental design using a pretest-posttest with control group approach. The sample consisted of 76 respondents divided into intervention and control groups, each consisting of 38 respondents, selected using a non-probability purposive sampling technique. The anxiety level was measured using the APAIS scale. Data analysis was conducted using the Wilcoxon test and Mann–Whitney U test. The results showed that before the intervention, most respondents in the intervention group experienced severe anxiety (78.9%), while in the control group it was 92.1%. After the audiovisual education was provided, anxiety levels in the intervention group decreased to mild anxiety (76.3%), whereas the control group mostly remained at moderate anxiety (55.3%). There was a significant difference in anxiety levels between the two groups (p-value = 0.001 < 0.05).In conclusion, audiovisual-based education is effective in reducing preoperative anxiety levels in patients undergoing spinal anesthesia at RSUD Kardinah Tegal.]]>
<![CDATA[Physical Activity, Sleep Quality, And Gadget Use As Risk Factors For Anemia In Adolescent Girls: A Systematic Literature Review ]]>
<![CDATA[Yuni Purwanti]]>;
<![CDATA[Dewi Purnamawati]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.961
<![CDATA[Anemia among adolescent girls remains a significant public health problem because it can adversely affect growth, learning capacity, productivity, and future reproductive health. In addition to nutritional factors, modern lifestyle changes—including physical activity, sleep quality, and gadget use—are increasingly recognized as potential contributors to anemia risk. This study aimed to synthesize scientific evidence regarding the association of physical activity, sleep quality, and gadget use with anemia among adolescent girls. This study aimed to analyze and synthesize scientific evidence regarding the association of physical activity, sleep quality, and gadget use with anemia among adolescent girls and to identify the underlying mechanisms linking these factors to anemia. This study employed a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines. Literature searches were conducted in the PubMed, Scopus, ScienceDirect, ProQuest, Google Scholar, and Garuda databases for articles published between 2020 and 2025. Studies were selected based on predefined inclusion and exclusion criteria, assessed for methodological quality, and analyzed using narrative synthesis and thematic analysis. A total of 25 articles met the eligibility criteria and were included in the final synthesis. The review findings indicated that unbalanced physical activity, poor sleep quality, and excessive gadget use were associated with an increased risk of anemia among adolescent girls. Both insufficient and excessive physical activity without adequate nutritional support may affect hemoglobin levels. Poor sleep quality was linked to impaired iron metabolism and hemoglobin synthesis, while excessive gadget use indirectly contributed to anemia through increased screen time, sedentary behavior, and reduced sleep quality. These findings suggest that these three lifestyle factors interact and collectively influence the risk of anemia. In conclusion, preventing anemia among adolescent girls requires a comprehensive approach that addresses not only nutritional factors but also healthy physical activity, adequate sleep, and responsible gadget use. The findings provide evidence for developing adolescent health programs and future research on lifestyle determinants of anemia.]]>
<![CDATA[Fruit Freshness Classification Based On A Custom Sequential Convolutional Neural Network ]]>
<![CDATA[Muhammad Fathan Syarif]]>;
<![CDATA[Didi Juardi]]>;
<![CDATA[Iqbal Maulana]]>
<![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 ]]>
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DOI: 10.55227/ijhet.v5i2.962
<![CDATA[To date, merchants and consumers in both traditional and modern markets generally still rely on direct visual observation to determine fruit freshness, a method that is highly subjective and often inconsistent. Deep Learning (DL) offers a relevant automation solution to this problem. This study applies a custom Sequential Convolutional Neural Network (CNN) architecture to simultaneously classify the type and freshness level of apples, bananas, and oranges into six classes. Using a Research and Development (R&D) approach, the model was trained on 8,400 images from Kaggle, divided into 80% training, 10% validation, and 10% testing data. The architecture consists of five convolutional layers (32 to 512 filters), reinforced with a 0.5 dropout rate and an EarlyStopping mechanism to prevent overfitting. The model achieved a test accuracy of 98.92% with a loss value of 0.1404. The trained model was integrated into a web application named "Know Your Fruits" using the Flask framework. Black Box Testing on 30 independent images from the internet showed that the application could adaptively predict fruit freshness across various backgrounds, with a misprediction rate of 6.67% caused by early-stage decay and geometric distortion from advanced rotting.]]>
