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
123 Documents
<![CDATA[THE RELATIONSHIP BETWEEN EMPLOYEE COMPETENCE AND THE SUCCESSFUL IMPLEMENTATION OF A HOSPITAL MANAGEMENT INFORMATION SYSTEM AT ADINDA MEDICAL CENTRE HOSPITAL SIDENRENG RAPPANG REGENCY ]]>
<![CDATA[Hardiyanti]]>;
<![CDATA[Sunandar Said]]>;
<![CDATA[Zulkarnain Sulaiman]]>;
<![CDATA[Khaeriyah Adri]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.841
<![CDATA[Successful implementation of a Hospital Management Information System (HMIS) depends not only on technological infrastructure but also on the competence of employees who use the system. This study examined the associations between employee motivation, knowledge, and skills and the success of HMIS implementation at Adinda Medical Centre Hospital, Sidenreng Rappang Regency. An analytical cross-sectional study was conducted from February to March 2026 among 103 employees selected by simple random sampling from 138 HMIS users. Data were collected using a structured questionnaire and analyzed using the Chi-square test at a significance level of 0.05. Motivation was significantly associated with successful HMIS implementation (p = 0.042), as were technical skills (p = 0.044). Knowledge was not significantly associated with implementation success (p = 0.845). These findings indicate that willingness to engage with the system and practical operating ability may be more closely related to successful HMIS use than theoretical knowledge alone. Hospital management should strengthen hands-on training, user mentoring, supervision, and motivational support while continuing to improve system reliability and organizational support.]]>
<![CDATA[UTILIZATION OF HERBAL PADS TO PREVENT URINARY TRACT INFECTIONS IN WOMEN OF REPRODUCTIVE AGE IN BEJI VILLAGE JUNREJO DISTRICT BATU CITY ]]>
<![CDATA[Fitria Aisyah]]>;
<![CDATA[Mufida Annisa R]]>;
<![CDATA[Woro Tri Utami]]>;
<![CDATA[Susana Setyowati]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.851
<![CDATA[Urinary Tract Infection (UTI) is a general term used to indicate the presence of microorganisms in urine. Women at high risk for UTIs are menstruating women. In Indonesia, only a small percentage of women use herbal sanitary napkins during menstruation. Therefore, researchers wanted to explore the effect of herbal sanitary napkin use on UTI incidence by assessing urine profiles as an indicator for UTI diagnosis. The research method used in this study was an intervention study with a crossover design. A formula could not be used to determine the sample size because there had been no previous research. Therefore, a sample size of 30 individuals was selected as a preliminary study. The results of the study showed that 1 research subject had leukocytes >15 after using non-herbal sanitary napkins and negative nitrite based on the results of urinalysis using a urine dipstick test. Conclusion: 1. 1 research subject experienced an increase in the number of leukocytes after using non-herbal sanitary napkins. 2. There was no difference in urinary nitrite after using herbal sanitary napkins compared to non-herbal sanitary napkins.]]>
<![CDATA[IMPLEMENTATION OF HEALTH PROMOTION MEDIA POLICY AT HEALTH FACILITIES: A CASE STUDY AT RAPPANG PUBLIC HEALTH CENTER, SIDENRENG RAPPANG REGENCY ]]>
<![CDATA[Nurfadilah Ruslan]]>;
<![CDATA[Devy Febrianti]]>;
<![CDATA[Zulkarnain Sulaiman]]>;
<![CDATA[Sunandar Said]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.865
<![CDATA[Health promotion plays an important role in improving public health through the delivery of planned and sustainable health information. As a primary healthcare facility, community health centers (Puskesmas) have a strategic role in implementing health promotion media policies. This study aimed to analyze the implementation of health promotion media policies at Rappang Public Health Center, Sidenreng Rappang Regency, based on Warwick’s policy implementation theory, which includes organizational capability, support, information, and resource allocation. This study employed a descriptive qualitative method with a case study approach. Data were collected through in-depth interviews, observation, and documentation, and analyzed using thematic analysis with the assistance of NVivo 12 Plus software. The results showed that the implementation of health promotion media policies has generally been carried out well. Organizational capability was reflected in program planning and implementation based on activity targets, although specific standard operating procedures were not yet available. Support from leadership, adequate facilities, and cross-sector collaboration contributed to program implementation. Health information was disseminated through both printed and digital media, while resource allocation remained constrained by limited personnel and multiple responsibilities among health promotion officers. The study concludes that the implementation of health promotion media policies at Rappang Public Health Center has been effective; however, improvements in standard operating procedures and human resource capacity are needed to enhance program effectiveness.]]>
<![CDATA[FACTORS INFLUENCING STUDENT SATISFACTION WITH THE MENU OF THE FREE NUTRITIOUS MEAL PROGRAM (MBG) AT UPT SMP NEGERI 4 PANCARIJANG ]]>
<![CDATA[Mutiara Sani Irwan]]>;
<![CDATA[Pratiwi Ramlan]]>;
<![CDATA[Devy Febrianti]]>;
<![CDATA[Mardhatillah]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.867
<![CDATA[The Free Nutritious Meal Program (MBG) is a government intervention aimed at fulfilling the nutritional needs of school-age children. However, its success is not solely determined by nutritional adequacy, but also by student satisfaction as direct beneficiaries. This study aimed to analyze factors influencing student satisfaction with the MBG menu at UPT SMP Negeri 4 Pancarijang. A quantitative approach with cross-sectional design was employed. The population consisted of 181 students participating in the MBG program. Using Slovin's formula, 125 students were selected through stratified random sampling. Data were collected via questionnaire measuring knowledge, attitude, menu perception, and teacher support as independent variables, and student satisfaction as the dependent variable. Multiple linear regression was used for data analysis. Results showed that attitude (p = 0.033) and menu perception (p = 0.000) significantly influenced student satisfaction, while knowledge (p = 0.855) and teacher support (p = 0.131) did not show significant effects after controlling for other variables. Simultaneously, all four variables significantly influenced satisfaction (p = 0.000), explaining 59.4% of the variation in student satisfaction. Menu perception was the most dominant variable, emphasizing that improvement of menu quality in terms of taste, variety, and appearance is the primary priority for enhancing student satisfaction with the MBG program.]]>
<![CDATA[BENCHMARKING MACHINE LEARNING MODELS FOR INDONESIAN E-COMMERCE SENTIMENT CLASSIFICATION ]]>
<![CDATA[Muhammad Fairuzabadi]]>;
<![CDATA[Indo Intan]]>;
<![CDATA[Sitti Suhada]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.891
<![CDATA[Indonesia's expanding e-commerce sector generates a growing volume of customer-written product reviews that can reveal both satisfaction and dissatisfaction. Automatically determining sentiment in these reviews is nevertheless difficult because marketplace language commonly includes informal wording, inconsistent spelling, brief statements, and domain-specific terms. This research benchmarks conventional machine learning methods for classifying the sentiment of Indonesian e-commerce reviews in the PRDECT-ID dataset. The data were obtained from Tokopedia and contain sentiment and emotion annotations. Following preprocessing, the experiment used 5,305 reviews, comprising 2,752 negative and 2,553 positive instances. The processing pipeline included case folding, text cleaning, normalization, tokenization, selective removal of stopwords, and Term Frequency-Inverse Document Frequency (TF-IDF) feature construction. Multinomial Naive Bayes, Support Vector Machine, and Random Forest were then evaluated under the same experimental configuration. The TF-IDF and Support Vector Machine combination produced the strongest results, reaching 0.9595 accuracy, 0.9594 macro-F1, and 0.9595 weighted-F1. These findings establish a reproducible reference point for sentiment classification in Indonesian e-commerce reviews.]]>
<![CDATA[OPTIMIZATION OF FACIAL IMAGE RESOLUTION ON CONVOLUTIONAL NEURAL NETWORK FOR PRESENCE BIOMETRIC SYSTEMS ]]>
<![CDATA[Andhika Fajri Raihan Supadi]]>;
<![CDATA[Supatman]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.895
<![CDATA[Facial recognition-based biometric systems are widely used in attendance and security applications because they do not require physical contact and are easy to implement on various devices. However, image resolution can affect the accuracy and computation time of facial recognition systems. This study developed a system with varying architectures and input resolutions, namely 512×512, 256×256, 128×128, 64×64, and 32×32 pixels. The dataset consisted of 480 images, including 240 face images and 240 non-face images. Evaluation was conducted using accuracy and training and testing computation times. The results showed that the 512×512 pixel resolution yielded the highest training accuracy of 55.00%, and the 512×512-pixel resolution required the longest training time of 504.23 seconds. In testing using new data, the 256×256 pixel resolution demonstrated optimal performance with an accuracy of 72.50% and a computation time of approximately 0.1602 seconds. Based on these results, the 256×256 pixel resolution can be recommended as the preferred choice for implementing a CNN based facial recognition system with limited computational resources.]]>
<![CDATA[CLASSIFICATION OF RICE TYPE IMAGE USING RESNET18 ]]>
<![CDATA[Khelvin Osvaldo Welldhar]]>;
<![CDATA[Supatman]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.896
<![CDATA[Rice is the primary staple food and a source of carbohydrates for most people in Indonesia. Various types of rice available on the market have differences in shape, size, color, and texture. However, some rice varieties have similar characteristics, making the identification process through visual observation still quite difficult. This study was aimed at developing a rice classification program using the Convolutional Neural Network (CNN) method with the ResNet18 architecture based on digital images. The dataset used consisted of 3,120 images divided into six classes, namely Gentong, Naga Mas, Raja Merah, Setra Ramos Alfamart, SPHP, and Wong Tani rice. Before the training process, the images underwent preprocessing, including resizing to 256 × 256 pixels and data normalization. The model was trained using a transfer learning approach with a data split of 80% and 20% for testing. The results showed that the ResNet18 model achieved a training accuracy of 95.81% and a testing accuracy of 84.55%. Evaluation using a confusion matrix showed that the model was able to classify most rice varieties successfully, although several misclassifications were still found among rice varieties with similar shapes and textures. Based on these results, the Convolutional Neural Network (CNN) method with the ResNet18 architecture can be used to support the automatic recognition and classification of rice varieties.]]>
<![CDATA[YOLOV8-BASED VISITOR DENSITY DETECTION AND CLASSIFICATION SYSTEM IN ACCESSORY SHOPPING CENTERS (CASE STUDY: SUPER DAZZLE GEJAYAN) ]]>
<![CDATA[Lorensius Forbin Dapa]]>;
<![CDATA[Supatman]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.897
<![CDATA[Visitor density monitoring in commercial areas directly affects safety and facility comfort management. This study develops a visitor density detection and classification system based on a pretrained YOLOv8s model, with a case study at Super Dazzle Gejayan, Yogyakarta. The YOLOv8s model was used without retraining, leveraging weights pretrained on the COCO dataset to detect human objects in real time. Detection results were then classified into three density categories: Quiet (≤5 people), Moderate (6–10 people), and Crowded (>10 people), using a threshold-based rule approach. Testing was conducted on 707 static images collected directly from the store environment under various visitor conditions. The system achieved an overall accuracy of 89.39%. Based on the classification report, the Crowded class achieved the best performance with an F1-score of 0.94, followed by the Quiet class (F1-score 0.91), while the Moderate class obtained the lowest F1-score of 0.82 due to its position between the two other classes. The main limitations of the system include occlusion conditions, lighting variation, and threshold sensitivity. The results indicate that the pretrained approach without retraining saves time and computational resources for the training process, while still producing competitive accuracy for visitor density classification applications in real-world environments.]]>
<![CDATA[DEVELOPMENT AND USABILITY EVALUATION OF A WEB-BASED SALES AND INVENTORY MANAGEMENT INFORMATION SYSTEM FOR MSMES USING RAPID APPLICATION DEVELOPMENT ]]>
<![CDATA[Vina Ardelia Effendy]]>;
<![CDATA[Shindy Arti]]>;
<![CDATA[Nur Elah]]>;
<![CDATA[Wiranti Kusuma Hapsari]]>;
<![CDATA[Sarah Najla Hanifati]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.900
<![CDATA[Micro, Small, and Medium Enterprises (MSMEs) commonly face operational challenges in managing sales transactions and inventory records because of manual recording, non-integrated data, stock discrepancies, and delayed report preparation. This study aims to develop a web-based sales and inventory management information system for MSMEs using the Rapid Application Development (RAD) method and to evaluate its usability using the System Usability Scale (SUS). The RAD method was implemented through requirements planning, user design, rapid construction, and cutover stages, enabling iterative refinement based on user needs and feedback. The developed system includes dashboard monitoring, product management, customer and supplier management, sales and purchase transactions, automatic stock updates, inventory monitoring, low-stock detection, report generation, and user access management. System functionality was evaluated using black-box testing involving 20 test scenarios. The results showed that all tested functions were valid, resulting in a functional validity score of 100%. Usability evaluation was conducted using SUS with 15 respondents. The average SUS score was 85.33, indicating that the system was acceptable and had good usability. These findings show that the developed system can support MSMEs in improving transaction recording, inventory accuracy, stock monitoring, and report preparation. Therefore, integrating RAD-based development and SUS-based evaluation can produce a functional and usable information system for MSME sales and inventory management.]]>
<![CDATA[THE RELATIONSHIP BETWEEN TREATMENT ADHERENCE AND KNOWLEDGE WITH THE RECOVERY LEVEL OF TUBERCULOSIS PATIENTS AT LAWAWOI PUBLIC HEALTH CENTER SIDENRENG RAPPANG REGENCY ]]>
<![CDATA[Suarni]]>;
<![CDATA[Pratiwi Ramlan]]>;
<![CDATA[Mardhatillah]]>;
<![CDATA[Khaeriyah Adri]]>
<![CDATA[ JTH: Journal of Technology and Health Vol. 4 No. 1 (2026): July: JTH: Journal of Technology and Health ]]>
Publisher : <![CDATA[CV. Fahr Publishing ]]>
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DOI: 10.61677/jth.v4i1.854
<![CDATA[Tuberculosis (TB), an infection produced by Mycobacterium tuberculosis, continues to pose a substantial public health concern. The World Health Organization estimated that 10.7 million individuals developed TB globally in 2024, and Indonesia remained among the countries carrying the greatest disease burden. At primary-care facilities, the proportion of patients who recover has also not consistently met the national minimum standard of 90%. This research examined whether treatment adherence and patient knowledge were related to the recovery level of TB patients at Lawawoi Public Health Center in Sidenreng Rappang Regency. A quantitative, observational-analytic study with a cross-sectional design was applied. The study population included 115 patients listed in the center's TB register, from whom 89 respondents were selected by simple random sampling. Information was gathered through observation, structured questionnaires, and document review, then tested with chi-square analysis at a 0.05 significance level. Treatment adherence was significantly associated with recovery (p = 0.033), whereas knowledge showed no significant association (p = 0.108). The results suggest that consistently completing therapy is a central behavioral element of TB recovery, while knowledge by itself is inadequate when it is not followed by sustained treatment practices and supporting systems. Ongoing counseling, participation of family members, supervision of therapy, and regular patient monitoring are therefore required to reinforce adherence and optimize treatment success. In this context, recovery was treated as the principal outcome of the complete course of care, rather than as a consequence of knowledge alone. The analysis therefore distinguished what patients knew from what they consistently practiced throughout treatment.]]>
