Salud, Ciencia y Tecnología (Journal)
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Development of BETA learning applications (Balaghah and exploration Tadzawwuq Adabiy) on Balaghah subjects to realize pesantren Revolution 5.0
Full text linkIntroduction: pesantren education faces the greatest challenge of integrating traditional values with technological innovations in order to remain relevant to the needs of the times. This study aims to develop and test the feasibility of BETA learning applications as a balaghah learning medium in line with the concept of pesantren Revolution 5.0. Methods: research was conducted using the Borg & Gall R&D method. The initial trial involved 50 students, followed by a large-scale test with 100 students. The research instruments used were observation, testing, questionnaires and expert validation, as well as statistical and descriptive tests. Results: the study showed that experts declared the BETA application highly viable, with a feasibility rate above 90 %. Students showed over 80% active participation, increasing the average understanding and appreciation of Arabic literature to over 80 %. These findings suggest that using BETA applications effectively improves the quality of Balaghah learning while maintaining student engagement. Conclusions: the BETA application was proven to be a feasible and effective learning medium for Balaghah, increasing student motivation, participation and learning outcomes. Further research will focus on developing application features and adapting them for different levels of education, as well as conducting comparative studies with other digital learning media
Lettuce Plant Disease Recognition Using Android-Based CNN Algorithm Method
Full text linkIntroduction: Disease detection in lettuce (Lactuca sativa L.) is crucial to enhance crop yields and prevent losses caused by bacterial, fungal, and weed-related infections. This study aimed to develop an Android-based lettuce disease detection application using a Convolutional Neural Network (CNN) algorithm to assist farmers in identifying plant diseases in real time.
Method: The research used a dataset of 2,320 lettuce leaf images obtained from Kaggle, categorized as healthy, bacterial, fungal, and shepherd’s purse weed. The dataset was preprocessed through labeling, normalization, and augmentation to improve model robustness. The CNN architecture comprised four convolution layers followed by max-pooling, dense, and softmax output layers. The model was trained using TensorFlow and deployed through TensorFlow Lite for mobile implementation.
Results: The CNN model achieved 93,67 % training accuracy and 93,99 % validation accuracy, demonstrating good generalization without overfitting. The evaluation using confusion matrix and classification reports showed high performance, particularly in identifying healthy and shepherd’s purse weed categories with F1-scores of 0.94 and 0.99, respectively. The Android application successfully detected diseases in real time and provided users with diagnostic results, historical data, and treatment suggestions.
Conclusions: The developed CNN-based Android application proved effective for automatic lettuce disease detection with high accuracy and practical usability for farmers. Future studies could enhance performance through more advanced CNN architectures such as VGG16 or ResNet50 and the use of more detailed datasets for improved disease classification
Regional Collaboration in Public Health Policy: Evaluating Family Assistance Team Involvement in Stunting Reduction
Full text linkIntroduction: The study examined regional collaboration in public health policy by assessing the involvement of Family Assistance Teams (FATs) in accelerating stunting reduction in Lampung Province, Indonesia. It aimed to identify FATs’ roles, performance, and operational challenges in implementing integrated health and nutrition programs under decentralized governance.
Methods: A qualitative approach was used through focus group discussions with 23 FAT members from North Lampung, West Lampung, and Way Kanan Regencies. Participants were purposively selected based on program intensity. Data validation was conducted through interviews with family planning field officers to ensure accuracy and policy relevance.
Results: The findings revealed variation in role comprehension, sectoral coordination, and digital data use. Key challenges included limited technical skills, scarce resources, and weak integration with Regional Stunting Reduction Teams. Nonetheless, locally driven strategies supported by village funds, structured task allocation, and active engagement in health posts enhanced program performance and outcomes.
Conclusions: The study concluded that strengthening institutional capacity, improving digital data management, enhancing coordination mechanisms, and introducing performance-based incentives were vital to increase FAT effectiveness. These insights provided strategic guidance for refining collaborative governance and expanding sustainable stunting reduction initiatives across regions
Saccharum spontaneum: for protection against complications associated with high fat diet induced obesity and hyperlipidemia in experimental rodents
Full text linkIntroduction
Saccharum spontaneum Linn. (Family: Poaceae) known as Kasa or wild sugar cane. It is considered as a preciousremedial herb in traditional systems of medicine in India.The aim of this study was to determine the antiobesity and antihyperlipidemic activity of hydro-alcoholic root extractof Saccharum spontaneum (SPRE) in high fat diet (HFD) inducedobese rats.
Methods
The female Sprague-Dawley (SD) rats were divided into six groups (n = 6). SPRE at a dose of 100, 200, 400 mg/kg, p.o. and Sibutramine (5 mg/kg,p.o.) as reference drug was administered daily using animal feeding needles for 60 days. The experimental animals were allocated into normal control group (Group I) administered with regular lab. diet, control obese group (Group II) induced with HFD, reference drug sibutramineplus HFD group (Group III) and SPRE (100, 200 and 400 mg/kg) plus HFD group(Group IV, V and VI respectively). Its effect on body weight, organ fat pad, serum lipid profile (TC, HDL, TG, LDL, and VLDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), blood urea nitrogen(BUN) and creatinine level were estimated in HFD induced obese rats.
Results
The administration of SPRE (200 and 400 mg/kg) supplemented with HFD showed controlled body weight and organ fat pad increment, and reduced the TC, LDL, VLDL, TG,and increased the HDL levels as well as reduced the AST, ALT, and BUN significantly (P< 0,01). The creatinine levels showed less significant effects when compared with HFD treated group. While SPRE at 100 mg/kg did not display any significant (P> 0.01) effect on these parameters.
Conclusion
The results of the present study scientifically proven the traditional use of Saccharum spontaneumas an antiobesity and antihyperlipidemic agent as it normalized the raised body weight and organ fat pad weight as well as antihyperlipidemic property by lowering the changed levels of lipid profile in female SD rats
The Influence of Workload, Work Shifts, Dual Role Conflict on Performance Through Work Stress In Female Nurses of RSUD Makassar City 2025
Full text linkIntroduction: The nursing profession has a high risk of experiencing work stress due to large workloads and responsibilities, which have a negative impact on the quality of their services and performance. Method: This study used a quantitative approach with a cross-sectional design. The sample of this study was 104 respondents selected by probability sampling technique. Physical workload was measured by %CVL (Cardio Vascular Load), NASA-TLX mental workload, work shift, dual role conflict, work stress and performance using measured using a questionnaire. Data analysis using AMOS-based path analysis. Results: Based on the analysis at 95% confidence level (Cl = 0,05), nurses\u27 performance was significantly affected by physical workload (p = 0,000), mental workload (p = 0,007), work shift (p = 0,031), as well as work stress (p = 0.000), while work stress was mainly mediated by mental workload (p = 0,015); indirect effect = -0,022) and dual role conflict (p = 0,000; indirect effect = -0,042), while physical workload (p = 0,112; indirect effect = -0,111) and work shifts (p = 0,075; indirect effect = -0,064) had no significant effect on stress nor indirectly on performance. Conclusion: Nurses\u27 performance is influenced directly by workload, work shift and work stress and indirectly by mental workload and dual role conflict.
Harmonic control in a photovoltaic microgrid and prediction using Monte Carlo simulation
Full text linkIntroduction: Photovoltaic systems are a key alternative for electricity generation, although they present harmonic distortion due to inverters. However, this study presents alternatives to avoid continuity problems in the grid.Objective: For this reason, this study analyzes harmonic mitigation in a microgrid modeled in real time at Redes y Telecomunicaciones Cotopaxi to ensure the stability, efficiency, and longevity of the equipment connected to the grid.Method: Evaluating three control strategies: conventional MPPT, MPPT with passive filter, and a fuzzy controller, using data measured in real time over a period of seven days.This study was based on seven scientific articles, three websites, and regulations related to the topic. Results: The results show that the fuzzy controller is the best option, reducing THDv to 4.09% and THDi to 4.41% with a stability time of 0.028 s, remaining within the limits established by the IEEE 519 standard and being a more economical alternative. while passive filters reduced THDv from 13.19% to 0.69% and THDi from 22.81% to 0.03%. However, this option involves a higher economic cost.Conclusions: Finally, the Monte Carlo method allowed the THD to be predicted with results similar to the FLC, validating its effectiveness under variable conditions and confirming its stability and efficiency
Ethnochemistry-Based Chemistry Learning Media for Creativity: A Cognitive Analysis of Fermented Products from Riau, Indonesia
Full text linkIntroduction: This study explores the integration of local wisdom from the Coastal Riau community, Indonesia, into chemistry education through an ethnochemistry approach focused on traditional fermentation practices. Locally produced fermented foods such as dadih (fermented buffalo milk), durian acid (fermented durian), rebung acid (fermented bamboo shoots), jeruk maman (fermented Cleome leaves), and bekasam (fermented fish) embody valuable biochemical processes rarely addressed in formal curricula. Incorporating these cultural contexts into chemistry learning aims to make abstract concepts more meaningful and foster students’ creativity and scientific literacy.Methods: The research employed a Mixed Methods Sequential Explanatory Design. The qualitative phase involved interviews and participatory observations with traditional food producers in three regencies—Meranti, Pelalawan, and Rokan Hilir—to identify fermentation-based products and analyze their chemical principles. The quantitative phase involved expert validation (N=16) of the developed ethnochemistry-based learning media using the Content Validity Ratio (CVR) and Content Validity Index (CVI), followed by classroom implementation with 45 chemistry education students.Results: Five traditional fermentation products were identified, each illustrating chemical processes such as acid–base reactions, enzymatic catalysis, and microbial metabolism. The developed learning media achieved a CVI and CVR validity score of 91%, confirming scientific accuracy and pedagogical suitability. Student creativity scores averaged 80, categorized as high, indicating that contextualized ethnochemistry learning effectively enhances creative performance.Conclusion: Ethnochemistry-based learning media grounded in local fermentation practices effectively bridge cultural experience and scientific theory, fostering creativity, scientific competence, and appreciation for Indonesia’s cultural heritage
Transformational Teaching and Flow with Parallel and Serial Mediation Mechanism to Explain Student Performance in Political Education
Full text linkIntroduction: research on transformational teaching has not yet clarified whether its effects arise through parallel cognitive and affective routes that emanate from flow, or through a sequential chain in which political expertise precedes political efficacy and then shapes performance. Resolving this issue matters for political education because it identifies the instructional levers most likely to cultivate democratic competence and durable academic gains.Objective: this study positions flow as the proximal hub in the learning process and contrasts a parallel mediation model with a serial alternative that situates political expertise before political efficacy and, in turn, academic performance, estimating the relative strength of these pathways in political education.Method: a cross-sectional survey of 312 undergraduates in West Sumatra was analyzed using partial least squares structural equation modeling with bias-corrected bootstrapping. The four dimensions of transformational teaching, namely Intellectual Stimulation, Inspirational Motivation, Individual Consideration, and Idealized Influence, were modeled simultaneously.Results: Intellectual Stimulation, Inspirational Motivation, and Individual Consideration were positively associated with flow, whereas Idealized Influence showed no direct association when the other dimensions were entered jointly. Flow related positively to political expertise and to political efficacy, and both outcomes predicted academic performance. The indirect association from flow to performance via political expertise exceeded the association via political efficacy, indicating a dominant cognitive route; a complementary serial chain from flow to expertise to efficacy to performance was also supported.Conclusions: in political education, transformational teaching most reliably improves performance by activating flow that strengthens political expertise, with affective efficacy contributing a smaller share and a serial mechanism operating alongside. Emphasizing Intellectual Stimulation, Inspirational Motivation, and Individual Consideration appears to be an effective strategy for triggering consequential learning states and enhancing outcomes
Mapping the factors influencing artificial intelligence adoption in auditing: a bibliometric analysis
Full text linkArtificial intelligence has emerged as a decisive force in the auditing profession because it enhances automation, improves fraud detection, and strengthens professional judgment. However, the academic literature still lacks an integrated view of the factors that shape its adoption in auditing. This study addresses this gap by examining the intellectual structure and research trends on artificial intelligence adoption in auditing from 2016 to 2025 through a bibliometric approach. Data were obtained from the Dimensions database, and 210 English-language journal articles were retained after screening. The analysis employed text-based co-occurrence techniques to identify the main research themes and conceptual linkages. The results reveal five dominant lines of work: the transformation of internal and financial audits, the use of data analytics and digital tools, the adoption of new technologies and their effects on efficiency within audit firms, auditors’ perceptions and behavioral responses, and the broader opportunities and challenges facing the auditing profession. These findings show a progression from conceptual discussions toward empirical examinations that consider organizational, ethical, and strategic implications. The study offers a consolidated overview of how artificial intelligence adoption has evolved in auditing and provides a reference point for future investigations seeking to promote responsible and sustainable technological integration in assurance practices
Taxonomy and chemical composition of genus Apium
Full text linkFamily Apiaceae (Umbelliferae) is a unique family in the flowering plants due to its characteristic inflorescences and fruits besides the distinctive chemistry reflected in odor, flavor and even toxicity of many of its members. Plants of the family Apiaceae are usually used medicinally as a cure for gastrointestinal complaints, cardiovascular ailments, they are also used as antispasmodics, sedatives and a source of resins, gum resins, flavouring agents, flavonoids, coumarins , foods and even poisons. Subfamily Apioideae comprises numerous members reputed for their high content of coumarins, flavonoids and volatile oils. One member belonging to this subfamily were chosen as a subject for the present work, viz. Apium. Taxonomy, phytochemicals and biological activities of genus Apium were listed here