Publication Search

Computer vision-based algorithms, especially Convolutional Neural Networks (CNN) and You Only Look Once (YOLO), have become the leading approaches in plant disease detection. CNN excels in extracting complex visual features for disease classification, while YOLO provides high-efficiency real-time object detection capabilities. Both algorithms have shown promising results in various studies, especially with controlled datasets. However, challenges remain in their application in real-world conditions, such as environmental diversity, overlapping symptoms, and poorly annotated data. Future research has the potential to optimize these algorithms through the development of lighter models, the use of transfer learning techniques, and multi-modal data integration. In addition, further exploration of a wider range of diseases, crops, and environmental conditions can expand the application of these algorithms. By leveraging these innovations, computer vision-based plant disease management can be improved to support sustainable precision agriculture.

In recognition of the need for sustainable design philosophies and practices that can be incorporated into the design of new products with an environmentally sustainable perspective throughout the life cycle, this research used a scoping review approach to x-ray the utility of the Sustainable Value Framework (SVF) in enhancing the application of reinforced composite products for ecological efficiency. An extensive search was performed using the electronic databases of articles such as PubMed, Google Scholar, Scopus, and Semantic Scholar. The study selected and extracted data from the literature according to the PRISMA-SCR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews) to map the current literature for gaps in knowledge. The research studies show that SVF promotes the product design by incorporating characteristics such as environmental, economic, and social factors to attain optimal reduction of resources and sustainable uses of the environmental resources as well as improving the quality of the products. The study discussed the principles of sustainable value creation and their work evaluates new solutions of composite material selection, design method and technology for sustainable products. It also discusses policy drivers as well as industry and consumer practices with regards to reuse of surfaces in sustainable design. This study is beneficial to various stakeholders like the policymakers, the professionals in industries and construction, and the scholars.

Cassia alata L or generally knowles as Chinese leaves contain phytochemical compounds, one of which is flavonoids which have the potential as antioxidants, antioxidants can be used to prevent diseases with oxidative stress. The purpose of this study was to determine the content of phytochemical screening and qualitative testing of antioxidant activity ethanol ekstract of Chinese leaves (Cassia alata L) using the DPPH method. This study is a qualitative study with an extraction process using the maceration method with 96% ethanol solvent. Phytochemical screening and antioxidant activity testing were carried out by adding specific reagents. The results of phytochemical screening and antioxidant activity testing of Chinese leaves (cassia alata L) ekstract contain bioactive compounds such as flavonoids, saponins, tannins and antioxidant activity testing with DPPH reagents showed that Chinese leaves (cassia alata L) extract has antioxidant activity which is indicated by a change of the color from purple to yellow. From the results obtained, it can be concluded that the flavonoid compound content in Chinese leaves (cassia alata L) extract can potentially act as an antioxidant.

Background: Digitalization is fundamentally reshaping health financing, enabling more efficient management of healthcare resources, improving service delivery, and increasing accessibility. This systematic review explores the intersection of digital tools and financial health systems, examining their transformative potential.Objective: The primary aim of this review is to identify the impact of digitalization on healthcare financial management, highlighting its benefits and addressing the challenges that arise during its implementation.Methods: A systematic review of 10 studies was conducted, focusing on digital health financing and employing PRISMA guidelines to ensure rigorous selection and analysis. The data extraction process identified thematic relevance, methodological rigor, and contextual insights.Results: The findings reveal that digitalization enhances resource allocation, patient accessibility, and administrative efficiency. Technologies such as blockchain and artificial intelligence optimize transparency and predictive financial modeling. However, significant challenges include data security vulnerabilities and the integration of digital tools with legacy systems.Conclusion: Digital technologies present transformative potential for healthcare financing. However, strategic implementation, robust governance, and cross-sector collaboration are critical to overcoming challenges and maximizing the benefits of digitalization. By addressing these needs, digitalization can create sustainable, inclusive, and equitable healthcare systems for the future.

The angulation of third molars plays a crucial role in dental health and orthodontic outcomes. This review examines changes in third molar mesioangulation after orthodontic treatment, comparing cases involving first premolar extractions with non-extraction protocols. Research has shown that premolar extractions often result in significant improvements in third molar angulation, promoting easier eruption and reducing the likelihood of impactions. Conversely, non-extraction cases generally demonstrate less favorable changes, with a higher frequency of impactions and limited spontaneous correction of molar positioning. The extent and direction of these changes depend on individual factors such as the degree of crowding and the developmental stage of the third molars at the start of treatment. Premolar extraction during orthodontic procedures appears to enhance third molar angulation, potentially lowering the risk of impaction and reducing the need for surgical removal. However, some studies highlight the influence of individual anatomical variations, suggesting that premolar extraction does not consistently produce uniform angulation changes in all patients. Therefore, orthodontic treatment planning should weigh the potential advantages of premolar extractions in improving third molar alignment, especially for patients with a higher risk of molar impaction

Opor is a very popular food, so it is served at almost every celebration. The main key to the deliciousness of opor lies in the spices used, but making opor seasoning is done by mixing many ingredients and spices so that the processing takes a long time. The resulting opor seasoning is also in the form of a paste, so it has a short shelf life and is less practical. This study aims to create instant opor seasoning in powder form so that it is more practical and can be stored for a long time. The method used in this study is an experiment to find a cause-and-effect relationship between the proportion of opor seasoning extract and maltodextrin added to the organoleptic properties of the resulting powdered opor seasoning. Organoleptic tests were conducted on 30 panelists. Based on the panelists' results, the best opor seasoning is produced by mixing 1.5 parts of opor seasoning extract with 1% maltodextrin. This powdered opor seasoning has a fat content of 11.85%, protein 17.63%, and calories 289.5 kcal/100g. The cost required to make powdered opor seasoning per package is IDR 13,000

Breadfruit (Artocarpus altilis) is a kind of consumable plant, generally peoples will process the fruit and discharge the peel. Effervescent granule is a practice of powder preparation. This study aim to create the effervescent granulation preparation to making the peel if breadfruit will easier to consumen with extract concentrations : F1 (5%), F2 (10%), and F3 (15%) and determine the characteristics of the resulting preparation. Making effervescent granules using the alkaline granulation method. Then the resulting preparation is evaluated by testing, including organoleptic test, pH, flow rate, angle of repose, dissolve time, water content, granule size distribution, and froth height. Breadfruit peel extract can be formulated into effervescent granule preparations. Effervescent granules of F1, F2, and F3 from breadfruit peel extract produce a brownish-white powder, characteristic of the extract. All of the formulas have qualified pH, water content, rest angle, dissolve time, and granule size. Flow velocity F1 7.99 g/sec and F2 7.21 g/sec, including flow velocity "good,” while F3 includes “poorly soluble’ 2.68 g/sec. However, the formulas do not meet the foam height requirements in the market with a foam height of 3 cm, where FI is 0.9 cm, F2 is 0.93 cm, and F3 is 0.96 cm.    

Snakehead fish (Channa striata) is a freshwater fish that is widely found in Indonesia. Snakehead fish has many benefits, including increasing albumin levels in the blood, increasing endurance, can heal wounds, both internal wounds, external wounds and post-operative wounds. The purpose of this study was to determine the character of the chemical compounds of snakehead fish extract in Lake Tondano. The method used for extraction is the Steaming method and analyzed using FTIR. The results of the study of Snakehead fish extract were analyzed in the FTIR computer application and obtained results showing 11 absorption band peaks. At the absorption band peaks of 3626.34 cm-1 and 3445.20 cm-1 indicate the O-H group suspected of having an alcohol compound. At the absorption band peak of 2097.19 cm-1 indicates the C = C group suspected of having an alkene compound. The peak of absorption band 1651.21 cm-1 and 1644.98 cm-1 indicates C=O group which is suspected to be amide compound I. The absorption band 1551.19 cm-1 indicates bending vibration of N-H group and stretching vibration of C-N which is suspected to be amide compound II. The absorption band 1458.33 cm-1 indicates CH3 group in the presence of collagen. The absorption band 1400.04 cm-1 indicates COO group which is suspected to be amino acid compound, aspartic acid and glutamic acid. The absorption band 1080.74 cm-1 indicates C-N group which is suspected to be amine compound. And the last absorption band is 562.15 cm-1 and 494.05 cm-1 indicates stretching vibration which indicates other compounds  

Background: Tofu is a food which has high protein content but it is quickly damaged, so natural ingredients are needed to extend the shelf life and minimize microbial growth. Objective: The study aims to analyze the total microbial and tofu storage period by immersing turmeric extract. The research methods were in the form of survey in tofu factory, purchasing tofu, making turmeric extract, tofu storage, microbial total test with Total Plate Count and the tofu storage period were observed starting from the third, fourth and fifth days every 24 hours. The parameters observed were total microbes and shelf life of tofu. The study used a simple randomized design (RAS) with 4 treatments, 2 experimental units and 2 repetitions. The data obtained were analyzed descriptively and presented in tabular form and carried out documentation. Results: The results showed that tofu with the highest concentration of turmeric extract which was 15%, had a total microbial of at least 7.2 x 1010 CFU / gram and the longest shelf life was three days of storage. Conclusion: The conclusions are the higher concentration of turmeric extract is given; the raising level of total microbes will be lowest and make the shelf life of tofu longer.

A peel-off facial mask is a cosmetic preparation in the form of a gel, which is applied to the skin of the face and left to dry so that a transparent film is formed that is elastic and easy to remove. One of the factors that influences the characteristics of peel-off gel face masks is the gel-forming ingredients which have different characteristic properties. The aim of this research was to determine the effectiveness of loaded red bracts of Kepok banana flowers (Musa paradisiaca L.) which were formulated into peel-off face maks with varying gelling agent concentrations. This research was carried out experimentally in the laboratory, including: taking plant samples using purposive sampling, sample processing and plant determination, making extracts using ultrasonic waves, making peel-off face mask preparations with gelling agent concentrations, physical evaluation of the preparations and stability test.  The research results showed that the physical preparation of the peel-off face mask loaded with red bracts of Kepok banana flowers (Musa paradisiaca L.) was brownish red in color, odorless, gel texture, transparent, sticky, thick, non-synergic and homogeneous. The stability results show that there is a change in pH before and after test.

Survey research is one of the methods often used in social sciences, education, and various other fields to collect data efficiently from large populations. This study aims to describe the concept, steps, types, advantages, and disadvantages of survey research, and provide guidance in selecting representative samples. The method used in this study is a literature review with a descriptive analysis of relevant theories. The results of the study indicate that survey research has the advantage of being able to collect large amounts of data quickly and support statistical analysis. However, this method also has weaknesses such as the risk of sampling bias and limitations in extracting in-depth information. The implications of this study are the need for careful design, including the selection of appropriate sampling techniques and the development of valid instruments, to improve the quality of survey research. This study is expected to provide practical guidance for researchers in designing and implementing effective and ethical survey research.

Lifestyle trends across generations have an impact on da'wah strategies. The approach with the stand-up comedy method or humor on the YouTube platform is the most up to date alternative. This phenomenon is directly proportional to the high prevalence of YouTube users in Indonesia. So this descriptive research aims to analyze the sentiment of public response to religious content delivered through stand up comedy. The data source for this research is a YouTube video uploaded by Dzawin Nur with the topic “Kuliah Antum - Ustad Kembali #2.1”. Sentiment analysis uses web scraping techniques from YouTube Comment Extractor and PredictEsay based on Natural Language Processing (NPL). From the 1.006 randomly analyzed comments, 300 comments showed positive sentiment reaching 99.6%. Meanwhile, neutral and negative sentiments are only 0.2% each. Da'wah through stand up comedy is effective as a da'wah strategy in a form that is more relevant to the transformation of social dynamics.

CV. Rasyid is a business unit specializing in the production of ecoprints. Currently, one of the most sought-after clothing colors by consumers is burnt coral red. However, CV. Rasyid has been unable to meet this demand due to challenges in the production process, specifically the deterioration of the color during the fixation stage. To address this issue, the community service team from the Industrial Engineering Study Program at Muhammadiyah University of Gombong (Unimugo) provided facilitation and support. The program aims to equip participants with the knowledge and skills needed to produce burnt coral red for ecoprints using secang dye. The activities include preparation, implementation, monitoring, and evaluation. The implementation process was conducted with guidance on color extraction, mordanting, design printing, and fixation. Monitoring results indicate that CV. Rasyid successfully carried out the burnt coral red ecoprint production process independently without significant issues. While the colors produced may vary slightly, this is not a concern, as such variations are a unique characteristic of ecoprint products.

Efforts to increase fish farming productivity, motivating farmers to enhance the fish farming population in Pulau Semambu Village. Inderalaya Utara Village, Ogan Ilir, can be implemented through village lecture provision, training, and demonstration of artificial feed production based on maggots with the addition of water spinach leaf extract. The objective of this activity is to enhance the growth and immune system of fish livestock.Based on that reasoning, the framework of thought that will be pursued through the model approach (1) The approach is carried out through direct observation of the community while simultaneously mapping the latest fish farms in Pulau Semambu Village, Inderalaya Utara, Ogan Ilir.(2) Assistance, this activity is carried out through village lectures that can be realized in the form of outreach to fish farmers about improving fish farming management and providing support in motivating fish farmers to start implementing the concept of an intensive maintenance system in fish farming in maintenance ponds that meet health standards. (3) Direct demonstration (practice) of making artificial feed based on BSF maggots, which includes how to make water spinach leaf extract, how to maintain maggots, and how to make flour and pellets for artificial feed. The village lecture activity was attended by 40 women in the fish farming group in Pulau Semambu Village and students taking the Entomology and Entrepreneurship courses.The result of the activity is to increase the productivity and population of fish livestock in Pulau Semambu. The provision of fish feed based on a mixture of maggot flour and water spinach extract can enhance the growth and immune system of fish livestock, resulting in heavier fish that are less prone to disease. Increasing the production and population of fish livestock will result in higher incomes for the fish farmers in Pulau Semambu village, Inderalaya Utara, Ogan Ilir.

Indonesia is renowned for its abundant and diserve natural resources, including various plants. Many medicinal plants are traditionally utilized due to their therapeutic benefits. The utilization of minnieroot leaves as a traditional medicine shuld be supported by comprehensive studies to identify the active compounds, thereby omproving their quality, safety and afficacy. Secondary metabolites in minnieroot, particularly in the leaves, contain polyphenolic compounds, while the roots are known to contain flavonoids. This study aims to identify secondary metabolite compounds in minnieroot (Reullia tuberosa L.) leafs methanol extract. The study utilized methanol as a solvent for the extract solution became colorless, resulting in a extract yield of 8,02% of the leaf’s weight. The qualitative test confirmed the presence of secondary matebolites, specifically flavonoids and tannin in the methanol extract of minnieroot leaves. The final result from column chromatography separation  shows that crystals are formed in the sixth vial. The crystals areb brownish blackn in color and weigh 0, 1235 g.

Skin cancer (SC) is a highly serious kind of cancer that, if not addressed swiftly, might result in the patient’s demise. Early detection of this condition allows for more effective therapy and prevents disease development. Deep Learning (DL) approaches may be used as an effective and efficient tool for SC detection (SCD). Several DL-based algorithms for automated SCD have been reported. However, more efficient models are needed to improve accuracy. As a result, this paper introduces a new strategy for SCD based on Grey Wolf optimization (GWO) methodologies and CNN. The proposed methodology has four stages: preprocessing, segmentation, feature extraction, and classification. The proposed method utilizes a Convolutional Neural Network (CNN) to extract features from Regions of Interest (ROIs). CNN is employed for feature categorization, whereas the GWO approach enhances accuracy by refining edge detection and segmentation. This technique utilizes a probabilistic model to accelerate the convergence of the GWO algorithm. Employing the GWO model to optimize the structure and weight vectors of CNNs can enhance diagnostic accuracy by a minimum of 5%, based on evaluation outcomes. The application of the proposed strategy and its performance comparison with other methods indicate that the proposed method with GWO predicted SC with an average accuracy of 95.11% and without GWO an Accuracy of 92.66%, respectively, enhancing accuracy by a minimum of 2.5% when we train our model with GWO.

This study enhances Jiang et al.'s compression-based classification algorithm by addressing its limitations in detecting semantic similarities between text documents. The proposed improvements focus on unigram extraction and optimized concatenation, eliminating reliance on entire document compression. By compressing extracted unigrams, the algorithm mitigates sliding window limitations inherent to gzip, improving compression efficiency and similarity detection. The optimized concatenation strategy replaces direct concatenation with the union of unigrams, reducing redundancy and enhancing the accuracy of Normalized Compression Distance (NCD) calculations. Experimental results across datasets of varying sizes and complexities demonstrate an average accuracy improvement of 5.73%, with gains of up to 11% on datasets containing longer documents. Notably, these improvements are more pronounced in datasets with high-label diversity and complex text structures. The methodology achieves these results while maintaining computational efficiency, making it suitable for resource-constrained environments. This study provides a robust, scalable solution for text classification, emphasizing lightweight preprocessing techniques to achieve efficient compression, which in turn enables more accurate classification.

Tempeh flour and telang flowers are food ingredients that contain antioxidants and can protect body cells from damage. Kue cubit is a snack that is assimilated by the Dutch, the development of which is found to be less visible in terms of its benefits for health, so it is necessary to develop a kue cubit with tempeh flour substitution and the addition of telang flower extract where both ingredients contain antioxidants. This research are to: (1) to determine the effect of tempeh flour substitution and the addition of telang flower extract on acceptability including the parameters of color, aroma, texture, and taste of kue cubit (2) to determine the antioxidant activity in kue cubit substituted with tempeh flour and the addition of telang flower extract from the best formula. This study includes a true experiment using a two-factor factorial Complete Random Design (RAL) research design, they are the variation in the amount of tempeh flour and the variation in the number of telang flowers that will be extracted as much as 40 ml, consisting of 6 formulas. The data were tested using Kruskal wallis if there was an influence followed by using the man whitney test. The results of the analysis showed there were significant differences in each kue cubit formula with color parameters and there were no effect on aroma, texture, and taste parameters. The best formula is X3Y3 (10%: 20gram), with an IC50 antioxidant activity value of 378.355 μg/mL included in the weak category.

The study entitled “Cream Formulation of Methanol Extract of Tapak Kuda (Ipomoea pes-caprae (L.) R. Br.) Leaves) As an anti-inflammatory in male white mice (Mus musculus)” using laboratory experimental methods with posttest control group design, data analysis using SPSS 25.0 with One Way ANOVA test and Duncan test. The percentage of extract yield obtained was 3.12%, phytochemical screening test showed the presence of secondary metabolite compounds alkaloids, terpenoids, flavonoids, saponins, tannins and steroids. Cream preparation of methanol extract of Tapak Kuda leaves at concentrations of 2.5%, 5% and 10% showed anti-inflammatory activity and the maximum dose to reduce edema diameter was 10% concentration with a percentage inhibition of 87.97%. Data analysis with One Way ANOVA test with a significance value ≤ 0.05 which indicates the presence of anti-inflammatory activity in Ipomoea pes-caprae tread leaf methanol extract cream.

Optical Character Recognition (OCR) systems often struggle to extract text accurately from images captured at various distances, particularly under challenging conditions such as blurriness, noise, or poor lighting. These issues are common in real-world scenarios and limit the effectiveness of existing OCR technologies. This study addresses these challenges by applying Gaussian blur after the grayscale conversion. This method reduces noise for the image's clarity without sacrificing the original algorithm's key features. Results revealed that the enhanced OCR algorithm significantly outperformed existing methods in terms of accuracy and confidence levels. It demonstrated the ability to read signages with higher precision, even in difficult conditions such as intricate designs, poor lighting, and long distances. This advancement enables more reliable text recognition and translation, offering practical applications for public signage translation, cross-cultural communication, and improved accessibility in multilingual environments.