Pub Date : 2024-08-08DOI: 10.59890/ijist.v2i7.2371
Samuel Ayodele Ojurungbe
This paper was inspired by the clear signals the researcher received in his first few weeks as a graduate student of Development Communication at the University of Philippines Los Banos (UPLB), which pointed in the direction that Rhetoric had no place or significant role to play in Communication for. Development/Development Communication practice. It aims at theorizing that Rhetoric has a place, and is relevant to Development Communication. It attempts this through an exploration of existing literature for foundations of a number of assumptions that appeared to have informed decisions on the usability of Rhetoric in Communication for Development. paper concludes that beyond answers to the discursive positions of the essay,a thorough understanding of the foundational elements of Rhetoric may help strengthen the quality of development practitioners by preparing and equipping them with the right measure of sensitivity, and an appreciation that the field of development is primarily made of ‘people’ and ‘communities’, and most especially in finding truthful answers to whether Rhetoric in its classical and contemporary incarnations, can offer an alternative way of addressing some of today’s issues of development/social change and/or ensure a better grasp of principles and concepts of social change.
{"title":"Reconciling the Issues And Concerns of the Place of Rhetoric in Communication for Development Practice: an Essay","authors":"Samuel Ayodele Ojurungbe","doi":"10.59890/ijist.v2i7.2371","DOIUrl":"https://doi.org/10.59890/ijist.v2i7.2371","url":null,"abstract":"This paper was inspired by the clear signals the researcher received in his first few weeks as a graduate student of Development Communication at the University of Philippines Los Banos (UPLB), which pointed in the direction that Rhetoric had no place or significant role to play in Communication for. Development/Development Communication practice. It aims at theorizing that Rhetoric has a place, and is relevant to Development Communication. It attempts this through an exploration of existing literature for foundations of a number of assumptions that appeared to have informed decisions on the usability of Rhetoric in Communication for Development. paper concludes that beyond answers to the discursive positions of the essay,a thorough understanding of the foundational elements of Rhetoric may help strengthen the quality of development practitioners by preparing and equipping them with the right measure of sensitivity, and an appreciation that the field of development is primarily made of ‘people’ and ‘communities’, and most especially in finding truthful answers to whether Rhetoric in its classical and contemporary incarnations, can offer an alternative way of addressing some of today’s issues of development/social change and/or ensure a better grasp of principles and concepts of social change.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"50 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141929276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study presents the development and evaluation of a CNN-based model for detecting safety helmets in industrial settings. Utilizing a dataset from GitHub, which includes images of individuals wearing safety helmets in various industrial environments, the model was trained using the YOLOv8 architecture over 100 epochs. The comprehensive training process involved data augmentation techniques to enhance generalization capabilities. The evaluation results demonstrated high precision (0.92) and recall (0.856) for helmet detection, with an overall mAP50 of 0.766. Visual analysis through precision-confidence curves confirmed the model's high reliability in detecting helmets at higher confidence thresholds. These findings suggest that the implementation of this model in real-time monitoring systems could significantly enhance industrial safety by reducing manual inspection efforts and ensuring compliance with safety regulations
{"title":"Industrial Safety Helmet Detection: Innovative CNN-Based Classification Approach","authors":"Febro Herdyanto, Muhamad Fatchan, Wahyu Hadikristanto","doi":"10.59890/ijist.v2i5.1925","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1925","url":null,"abstract":"This study presents the development and evaluation of a CNN-based model for detecting safety helmets in industrial settings. Utilizing a dataset from GitHub, which includes images of individuals wearing safety helmets in various industrial environments, the model was trained using the YOLOv8 architecture over 100 epochs. The comprehensive training process involved data augmentation techniques to enhance generalization capabilities. The evaluation results demonstrated high precision (0.92) and recall (0.856) for helmet detection, with an overall mAP50 of 0.766. Visual analysis through precision-confidence curves confirmed the model's high reliability in detecting helmets at higher confidence thresholds. These findings suggest that the implementation of this model in real-time monitoring systems could significantly enhance industrial safety by reducing manual inspection efforts and ensuring compliance with safety regulations","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1870
Ayu Fitriyani, Muhamad Fatchan, Wahyu Hadikristanto, Universitas Pelita Bangsa
Breast cancer detection is an important stage for early cancer diagnosis. In this study, a Convolutional Neural Network (CNN) algorithm is used to detect breast cancer. The dataset used consists of MRI scan images of benign and malignant breast cancer, which are processed through breast image cropping and data augmentation. The model was trained using CNN architecture with transfer learning method of VGG-16 model. The results of the model training showed good performance with an accuracy of 62%. These findings show the potential of using CNN and transfer learning in improving early detection of breast cancer.
{"title":"Detect the Activity of Benign and Malignant Breast Cancer","authors":"Ayu Fitriyani, Muhamad Fatchan, Wahyu Hadikristanto, Universitas Pelita Bangsa","doi":"10.59890/ijist.v2i5.1870","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1870","url":null,"abstract":"Breast cancer detection is an important stage for early cancer diagnosis. In this study, a Convolutional Neural Network (CNN) algorithm is used to detect breast cancer. The dataset used consists of MRI scan images of benign and malignant breast cancer, which are processed through breast image cropping and data augmentation. The model was trained using CNN architecture with transfer learning method of VGG-16 model. The results of the model training showed good performance with an accuracy of 62%. These findings show the potential of using CNN and transfer learning in improving early detection of breast cancer.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"115 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141408110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1797
Krizelle Joy Dupra, Robert Aceret
This study delves into the intricate dynamics of the skin microbiome, focusing on its susceptibility to infection when the skin's protective barrier is compromised. Through a comprehensive examination of wound infections, the research underscores the prevalence of acute wounds and their profound impact on morbidity and mortality rates, particularly in developing nations like the Philippines. Despite adherence to WHO protocols, surgical site infections (SSI) remain alarmingly high, necessitating innovative interventions. Enter topical antibacterial agents, offering targeted therapy with minimal systemic impact. Leveraging the medicinal properties of O. triangularis, the study formulates and evaluates a topical antibacterial gel, unveiling its remarkable efficacy in wound healing and bacterial inhibition. Findings reveal promising results, exhibiting accelerated healing and notable antibacterial activity against E. coli. Moreover, its stability and non-irritant nature further accentuate its potential as a cost-effective solution for wound management. This research heralds a promising paradigm shift in wound care, advocating for the integration of botanical extracts in topical formulations for enhanced therapeutic outcomes.
{"title":"Bioactivities of Purple Shamrock (Oxalis Triangularis) Crude Extract and Evaluation of Shamrock Topical Antibacterial Gel","authors":"Krizelle Joy Dupra, Robert Aceret","doi":"10.59890/ijist.v2i5.1797","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1797","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000This study delves into the intricate dynamics of the skin microbiome, focusing on its susceptibility to infection when the skin's protective barrier is compromised. Through a comprehensive examination of wound infections, the research underscores the prevalence of acute wounds and their profound impact on morbidity and mortality rates, particularly in developing nations like the Philippines. Despite adherence to WHO protocols, surgical site infections (SSI) remain alarmingly high, necessitating innovative interventions. Enter topical antibacterial agents, offering targeted therapy with minimal systemic impact. Leveraging the medicinal properties of O. triangularis, the study formulates and evaluates a topical antibacterial gel, unveiling its remarkable efficacy in wound healing and bacterial inhibition. Findings reveal promising results, exhibiting accelerated healing and notable antibacterial activity against E. coli. Moreover, its stability and non-irritant nature further accentuate its potential as a cost-effective solution for wound management. This research heralds a promising paradigm shift in wound care, advocating for the integration of botanical extracts in topical formulations for enhanced therapeutic outcomes. \u0000 \u0000 \u0000 \u0000","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"20 46","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141393719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1873
Dahyoung Yenuargo, Muhamad Fatchan, Wahyu Hadikristanto, Universitas Pelita Bangsa
In an era of increasing concern for environmental sustainability, waste management remains an important global issue. Efficient waste classification, in particular distinguishing between organic and recyclable materials, is essential for reducing environmental impact. Traditional manual classification methods are often error-prone and inefficient. This research evaluates the performance of SVM models with RBF and Polynomial kernels for waste classification, using SqueezeNet for feature extraction. Datasets from Kaggle were preprocessed and augmented to improve model training. The experimental results show that the SVM model with RBF kernel outperforms the Polynomial kernel in classifying organic and recyclable waste, with an accuracy of 97.9% compared to 97.3% for the Polynomial kernel. This finding underscores the importance of kernel selection and parameter tuning in optimising SVM models for non-linear classification tasks. This research contributes to the development of more efficient and accurate waste classification technologies, promoting better waste management practices. Further research is recommended to explore advanced feature extraction methods and expand the scope of classification to cover a wider range of waste categories.
{"title":"Valuation of Svm Kernel Performance in Organic and Non-Organic Waste Classification","authors":"Dahyoung Yenuargo, Muhamad Fatchan, Wahyu Hadikristanto, Universitas Pelita Bangsa","doi":"10.59890/ijist.v2i5.1873","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1873","url":null,"abstract":"In an era of increasing concern for environmental sustainability, waste management remains an important global issue. Efficient waste classification, in particular distinguishing between organic and recyclable materials, is essential for reducing environmental impact. Traditional manual classification methods are often error-prone and inefficient. This research evaluates the performance of SVM models with RBF and Polynomial kernels for waste classification, using SqueezeNet for feature extraction. Datasets from Kaggle were preprocessed and augmented to improve model training. The experimental results show that the SVM model with RBF kernel outperforms the Polynomial kernel in classifying organic and recyclable waste, with an accuracy of 97.9% compared to 97.3% for the Polynomial kernel. This finding underscores the importance of kernel selection and parameter tuning in optimising SVM models for non-linear classification tasks. This research contributes to the development of more efficient and accurate waste classification technologies, promoting better waste management practices. Further research is recommended to explore advanced feature extraction methods and expand the scope of classification to cover a wider range of waste categories.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141392542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1794
Siyamoy Ghory, Sayed Hamidullah Hamidi, Mohammad Amir Atee, Tamanna Quraishi
This study investigates the integration of Information and Communication Technology (ICT) in student learning at Kabul University through a survey-based methodology. The research explores students' perceptions of ICT integration, including its effectiveness, challenges, opportunities, and impact on engagement and academic performance. A sample of 120 students from diverse faculties participated, with representation across two age ranges: 20-25 and 25-30. The survey instrument, administered electronically, assessed various aspects of ICT integration in the learning environment. Following data collection, meticulous analysis of participant responses was conducted, employing statistical techniques such as frequency distributions and percentages. Results revealed diverse perspectives among students regarding the effectiveness of ICT integration and its influence on engagement and academic performance. Figures presented demographic distributions, perceptions of ICT effectiveness, challenges, opportunities, engagement levels, and academic performance influence among participants. The findings contribute valuable insights into the multifaceted nature of ICT integration in student learning at Kabul University, informing educational practices and policies aimed at optimizing technology-enhanced learning environments. This study underscores the importance of considering students' perspectives in the design and implementation of ICT initiatives, emphasizing the need for tailored strategies to address challenges and capitalize on opportunities for effective integration.
{"title":"ICT Integration in Student Learning: Perspectives from a Survey Analysis","authors":"Siyamoy Ghory, Sayed Hamidullah Hamidi, Mohammad Amir Atee, Tamanna Quraishi","doi":"10.59890/ijist.v2i5.1794","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1794","url":null,"abstract":"This study investigates the integration of Information and Communication Technology (ICT) in student learning at Kabul University through a survey-based methodology. The research explores students' perceptions of ICT integration, including its effectiveness, challenges, opportunities, and impact on engagement and academic performance. A sample of 120 students from diverse faculties participated, with representation across two age ranges: 20-25 and 25-30. The survey instrument, administered electronically, assessed various aspects of ICT integration in the learning environment. Following data collection, meticulous analysis of participant responses was conducted, employing statistical techniques such as frequency distributions and percentages. Results revealed diverse perspectives among students regarding the effectiveness of ICT integration and its influence on engagement and academic performance. Figures presented demographic distributions, perceptions of ICT effectiveness, challenges, opportunities, engagement levels, and academic performance influence among participants. The findings contribute valuable insights into the multifaceted nature of ICT integration in student learning at Kabul University, informing educational practices and policies aimed at optimizing technology-enhanced learning environments. This study underscores the importance of considering students' perspectives in the design and implementation of ICT initiatives, emphasizing the need for tailored strategies to address challenges and capitalize on opportunities for effective integration.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"15 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1754
Barge Gul Khalili, Behnaz Rahimi, Mursal Akrami, Musaka Hejran, Musawer Hakimi
The study explores the obstacles to entrepreneurship that young Afghans face in the context of the nation's political and socioeconomic conditions. It looks at how important social media is to helping young people overcome these obstacles and become economically independent. Using a mixed-methods approach, it aims to comprehend the viewpoints, experiences, and variables influencing the use of social media among Afghan youth entrepreneurs by combining quantitative surveys and qualitative interviews with 160 participants. The majority of participants (75%) are male, and 62.5% have an economic background. Most of them are in the 25–30 age range. Targeted solutions are critically needed as financial and infrastructural limitations severely hinder entrepreneurial endeavours. Although social media can be used to expand a market and engage customers, perspectives on its effects are divided. The impact of digital literacy and prior entrepreneurial experience on self-assurance in leveraging social media as an entrepreneurial tactic is highlighted by regression analysis. These results highlight the need for customised interventions to improve digital literacy and bridge infrastructure gaps in order to fully utilise social media's potential to support Afghan youth's entrepreneurship. The present study enhances the conversation on young entrepreneurship and social media in developing countries by providing significant perspectives to policymakers, practitioners, and scholars who seek to support entrepreneurial ecosystems in Afghanistan and comparable settings.
{"title":"Assessing the Impact of social media on Youth's Entrepreneurship Development in Afghanistan","authors":"Barge Gul Khalili, Behnaz Rahimi, Mursal Akrami, Musaka Hejran, Musawer Hakimi","doi":"10.59890/ijist.v2i5.1754","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1754","url":null,"abstract":"The study explores the obstacles to entrepreneurship that young Afghans face in the context of the nation's political and socioeconomic conditions. It looks at how important social media is to helping young people overcome these obstacles and become economically independent. Using a mixed-methods approach, it aims to comprehend the viewpoints, experiences, and variables influencing the use of social media among Afghan youth entrepreneurs by combining quantitative surveys and qualitative interviews with 160 participants. The majority of participants (75%) are male, and 62.5% have an economic background. Most of them are in the 25–30 age range. Targeted solutions are critically needed as financial and infrastructural limitations severely hinder entrepreneurial endeavours. Although social media can be used to expand a market and engage customers, perspectives on its effects are divided. The impact of digital literacy and prior entrepreneurial experience on self-assurance in leveraging social media as an entrepreneurial tactic is highlighted by regression analysis. These results highlight the need for customised interventions to improve digital literacy and bridge infrastructure gaps in order to fully utilise social media's potential to support Afghan youth's entrepreneurship. The present study enhances the conversation on young entrepreneurship and social media in developing countries by providing significant perspectives to policymakers, practitioners, and scholars who seek to support entrepreneurial ecosystems in Afghanistan and comparable settings.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"19 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141396817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rambak crackers are one of the food ingredients that have the characteristics of expansion and crispy texture. The general public often faces difficulties in distinguishing between pork and beef rambak crackers that have been processed, so it is important to rely on technology, especially artificial intelligence (AI), to help distinguish between them. This study was conducted to compare the capabilities of several CNN architectures in classifying images of pork and beef rambak crackers. The results of the study showed that the Xception architecture had the highest accuracy rate in classifying pork and beef rambak crackers, with an average accuracy rate of 98.24%.
{"title":"Comparative Analysis of Convolutional Neural Network (CNN) Architectures in Classification of Cattle and Pig Rambaks","authors":"Haryono Haryono, Cahya Rahmad, Banni Satria Andoko","doi":"10.59890/ijist.v2i5.1793","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1793","url":null,"abstract":"Rambak crackers are one of the food ingredients that have the characteristics of expansion and crispy texture. The general public often faces difficulties in distinguishing between pork and beef rambak crackers that have been processed, so it is important to rely on technology, especially artificial intelligence (AI), to help distinguish between them. This study was conducted to compare the capabilities of several CNN architectures in classifying images of pork and beef rambak crackers. The results of the study showed that the Xception architecture had the highest accuracy rate in classifying pork and beef rambak crackers, with an average accuracy rate of 98.24%.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"52 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141416264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1824
Paskah Gulo, Dyah Palupiningtyas
This research seeks to enhance the allure of Senjoyo Salatiga nature-based tourism by employing a sustainable development framework. The study utilizes a qualitative methodology with a case study approach. Data was gathered through a combination of direct observations, in-depth interviews, Focus Group Discussions (FGD), and analysis of relevant documents. The findings reveal that while Senjoyo Salatiga nature-based tourism boasts remarkable potential and appeal, it continues to face numerous obstacles in its growth, including inadequate infrastructure, ineffective management, the necessity for greater community engagement, risks to environmental sustainability, financial and human resource limitations, and rivalry from other tourist destinations. The proposed optimization strategies encompass upgrading eco-friendly infrastructure and support facilities, bolstering collaboration among stakeholders, building local community capacity and participation, creating innovative and sustainable tourism products and packages, implementing conservation and environmental protection principles, and encouraging responsible marketing and promotion. This study's discoveries contribute to the expansion of scientific knowledge in the domain of sustainable tourism and can function as a model for other nature-based tourism destinations in Indonesia. By embracing a sustainable development approach, Senjoyo Salatiga nature-based tourism has the potential to emerge as a paradigm for sustainable nature-based tourism development in Indonesia.
{"title":"Increasing the Attraction of Nature-Based Tourism in Senjoyo Salatiga by Embracing a Sustainable Development Framework","authors":"Paskah Gulo, Dyah Palupiningtyas","doi":"10.59890/ijist.v2i5.1824","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1824","url":null,"abstract":"This research seeks to enhance the allure of Senjoyo Salatiga nature-based tourism by employing a sustainable development framework. The study utilizes a qualitative methodology with a case study approach. Data was gathered through a combination of direct observations, in-depth interviews, Focus Group Discussions (FGD), and analysis of relevant documents. The findings reveal that while Senjoyo Salatiga nature-based tourism boasts remarkable potential and appeal, it continues to face numerous obstacles in its growth, including inadequate infrastructure, ineffective management, the necessity for greater community engagement, risks to environmental sustainability, financial and human resource limitations, and rivalry from other tourist destinations. The proposed optimization strategies encompass upgrading eco-friendly infrastructure and support facilities, bolstering collaboration among stakeholders, building local community capacity and participation, creating innovative and sustainable tourism products and packages, implementing conservation and environmental protection principles, and encouraging responsible marketing and promotion. This study's discoveries contribute to the expansion of scientific knowledge in the domain of sustainable tourism and can function as a model for other nature-based tourism destinations in Indonesia. By embracing a sustainable development approach, Senjoyo Salatiga nature-based tourism has the potential to emerge as a paradigm for sustainable nature-based tourism development in Indonesia.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"10 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.59890/ijist.v2i5.1907
Faza Ardan Kusuma, Muhamad Fatchan, Ahmad Turmudi Zy, Universitas Pelita Bangsa
The implementation of the artificial neural network (ANN) algorithm for detecting and classifying welding defects is detailed in this study. A total of 558 welding workpiece images were processed using techniques such as resizing, auto-orientation, flipping, rotation, and annotation, ultimately expanding the dataset to 1,288 images. Feature extraction identified 24 traits across 12,000 data points, which were then condensed to 5,735 data points for the ANN model. The model employed 100 hidden layers, the ReLU activation function, and the L-BFGS-B solver, running for 200 iterations. The configuration achieved near-perfect results, with metrics such as the area under the curve (AUC), classification accuracy, and F1 score averaging a precision of 0.97. These outcomes demonstrate the ANN model's high efficacy in detecting and classifying welding defects, underscoring its potential application for quality assurance in the welding industry. Further investigation into specific defect types, including porosity, spatter, cracks, and undercuts, could further improve detection accuracy.
{"title":"Advanced ANN Techniques for Precise Detection and Classification of Welding Defects","authors":"Faza Ardan Kusuma, Muhamad Fatchan, Ahmad Turmudi Zy, Universitas Pelita Bangsa","doi":"10.59890/ijist.v2i5.1907","DOIUrl":"https://doi.org/10.59890/ijist.v2i5.1907","url":null,"abstract":"The implementation of the artificial neural network (ANN) algorithm for detecting and classifying welding defects is detailed in this study. A total of 558 welding workpiece images were processed using techniques such as resizing, auto-orientation, flipping, rotation, and annotation, ultimately expanding the dataset to 1,288 images. Feature extraction identified 24 traits across 12,000 data points, which were then condensed to 5,735 data points for the ANN model. The model employed 100 hidden layers, the ReLU activation function, and the L-BFGS-B solver, running for 200 iterations. The configuration achieved near-perfect results, with metrics such as the area under the curve (AUC), classification accuracy, and F1 score averaging a precision of 0.97. These outcomes demonstrate the ANN model's high efficacy in detecting and classifying welding defects, underscoring its potential application for quality assurance in the welding industry. Further investigation into specific defect types, including porosity, spatter, cracks, and undercuts, could further improve detection accuracy.","PeriodicalId":503863,"journal":{"name":"International Journal of Integrated Science and Technology","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141396117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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