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ARCHITECTURE OF SMART TOURISM APPLICATION: A DEVELOPING COUNTRIES’ PERSPECTIVE A CASE STUDY IN INDONESIA
Get PDFBeautiful, comfortable, safe, and affordable tourist attractions are every tourist's dream. Meanwhile, tourism in developing countries, the authenticity and uniqueness of nature and culture are the main attractions for tourists. The lack of accurate information that can accommodate tourist locations, local culture, unique tourism, transportation, and accommodation of a tourist attraction for developing countries is an obstacle to the success of tourist visits. The role of technology and society can help the concept of smart tourism governance for developing countries. Therefore, a framework model is needed that can explore the advantages of tourism in developing countries. The success of Smart Tourism cannot be separated from the development of the application architecture that is used as the basis for developing the Smart Tourism system application. So, the purpose of this study is to create an informative, accurate, safe, and easy smart tourism application architecture. This study uses a qualitative method, namely with literature studies and in-depth interviews were also conducted with tourism and informatics experts. The Mc Farlan Matrix used in the Ward and Peppard method and the TOGAF framework are used in the formation of smart tourism applications. The results of this study are The results of this study are in the form of an application architecture that focuses on stakeholder interests in the form of Smart Tourism Service Application Architecture for various Stakeholders which is an integration of smart tourism organization, smart destination, smart service, smart decision, smart share, smart experience, smart recommendation
EXPERT SYSTEM FOR DISEASE IDENTIFICATION BASED ON HEMATOCHEZIA SYMPTOMS WITH NAÏVE BAYES METHOD
Get PDFHematochezia is a common clinical symptom in various gastrointestinal diseases, requiring accurate diagnosis for effective treatment. This study aims to develop an expert system for the rapid and precise identification of hematochezia-causing diseases. The expert system is designed to assist patients in efficiently recognizing diseases, minimizing treatment failure risks. It employs the Naïve Bayes method, a data calculation approach involving summing combinations and frequencies of each dataset. The expert system methodology begins with training using a dataset comprising hematochezia symptoms and corresponding disease diagnoses. The dataset is input into a database as training data. Subsequently, it undergoes classification and training stages. Symptom data can then be processed using the Naïve Bayes method. The system's end result displays probability values for each disease based on provided symptoms. This analysis relies on specific symptoms selected by the user, such as Rectal Pain, Hematochezia, Constipation, Fatigue, and Abdominal Cramps. It yields a Hemorrhoids diagnosis with a posterior probability of 0.514738. In testing with 35 sample cases, the expert system exhibited a remarkable accuracy rate of 94.29%. This expert system efficiently supports disease diagnosis based on hematochezia symptoms, aiding in swift and accurate identification
DEVELOPMENT OF A SYSTEM TRANSFORMATION OF NEW STUDENT ADMISSION SERVICES AND VALUE MANAGEMENT
Get PDFService activities at Tegal Dinamika Vocational School still use a manual system which has a high risk of data being lost and the authenticity of its value is doubtful. Based on these conditions, it is necessary to create a web-based grade processing information system to help convey information on student grades and attendance, as well as online registration data. The aim of this research is to provide a breakthrough in the transformation of services at Vocational School Dinamika Tegal in terms of registering new students, conveying information on exam results and attendance recaps to students and parents, which can be accessed online via the website, so that all users, even people with physical limitations, can access the website. that easily. The research method for web design uses the SDLC waterfall method. Apart from that, to determine website performance, researchers conducted sample usability testing to find out whether the website was user friendly. The results of this research with the creation of this application, the process of conveying value information from teachers to students has become more effective and efficient, this evidence can be seen from the distribution of questionnaires in the school environment which shows that 97% agree with this research, increasing the success of data processing and making it easier for the administrative side to be more organized and no more data errors. The uniqueness of this research focuses on more disability-friendly web design and user experiences that are accessible to all individuals including those with disabilities. The conclusion of this research is that the website is able to manage grade data and student attendance recaps that have been input by the teacher, making it easier for prospective new students to obtain registration information and register online and can be accessed anywhere and at any time through the syste
COMPARATIVE ANALYSIS OF CANNY, SOBEL, PREWITT AND ROBERTS EDGE DETECTION OPERATORS ON EYE IRIS IMAGES
Get PDFThe iris is a part of the human anatomy that can be used as a biometric identifier. Data obtained from the iris can be converted into information through iris image processing, and in order to obtain accurate iris pixel results, an edge detection operator is required that can provide detailed and good image quality effects. In this research, a comparative analysis of the Canny, Sobel, Prewitt and Roberts edge detection operators was carried out on iris images. The purpose of performing a comparative analysis of edge detection methods is to compare the detection results of each edge detection operator on iris recognition detected by each operator. The results of the comparison of edge detection methods using precision tables can be analyzed to show that the Canny edge detection operator provides better, smoother and sharper edge results in actual edge point detection, namely 0.357867, while Sobel =, 0.210212, Prewitt = 0.212452 and Roberts = 0.279196. From these results it can be concluded that the edge detection results provided by Sobel and Prewitt are less sharp and sensitive to noise, and the comparison results can vary depending on the intensity of the image and the image object being compared
HERBAL LEAF CLASSIFICATION USING DEEP LEARNING MODEL EFFICIENTNETV2B0
Get PDFScience regarding plants has experienced significant progress, especially in the study of medicinal plants. Medicinal plants have been used in medicine and are still an important component in the world of health today. Among the various parts of the plant, the leaves are also one that can be used as medicine. However, not many people can recognize these herbal leaves directly. This is because the herbal leaves at first glance look almost the same, so it is difficult to differentiate them. The aim of this research is to classify herbal leaf images by identifying the structural features of the leaf images. The dataset in this study uses 10 classes of leaf images, namely, starfruit, guava, lime, basil, aloe vera, jackfruit, pandan, papaya, celery, and betel, where each class uses 350 images with a total of 3500 images of data. The EfficientNetV2B0 model was chosen because it has a minimalist architecture but has high effectiveness. Based on the results of research using the EffiecientNetV2B0 model, the accuracy was 99.14% and the loss value was 1.95% using test data
PENERAPAN METODE ASOSIASI PADA ANALISA POLA PEMINJAMAN BUKU PERPUSTAKAAN
Get PDFThe library produces a lot of book loan transaction data every day, but the data has not been maximally utilized due to the limited knowledge of the data, therefore the librarian cannot provide the right book recommendations for readers. The research aims to analyze book loan data by applying the Knowledge Discovery in Database (KDD) method. The research stages are observation and interviews, data selection and data preprocessing, data transformation. Data processing using the apriori algorithm association rule mining approach to provide an overview in seeing the pattern of book loan transactions. This is to provide book recommendations that match the reading interests of library members, so that it can become a reference in the layout of books on the shelf according to the results of the rules formed. The book loan transaction data used is the September period of 2023, the implementation uses the rapidminer application to find association rules. The results obtained as many as 77 rule recommendations with the highest support value of 10.7%, the highest confidence value of 100% and the highest lift value of 14. The rule formed is that if a library member borrows a book by Dale Carneige, the chances that the library member will also borrow a book by George Orwel are 100%. The results obtained can be a reference for the library to provide book recommendations to readers, maintain the availability of book stock and arrange the placement of these books on adjacent shelves
ANALISIS SENTIMEN PERKEMBANGAN MOTOR LISTRIK MENGGUNAKAN SUPPORT VECTOR MACHINE DAN OPTIMASI PARTICLE SWARM OPTIMIZATION
Get PDFInnovation in electric motor technology such as increased range, speed, and battery endurance can attract interest from individuals fascinated by the latest advancements. Sentiment analysis enables a profound understanding of consumer perceptions towards electric motors. In this study, Support Vector Machine (SVM) is employed as a classification tool to evaluate opinions on current developments in electric motors. SVM seeks an optimal hyperplane that maximizes the distance between sentiment categories. The development of sentiment analysis methods utilizes SVM with Particle Swarm Optimization (PSO) to successfully achieve an accuracy of 80.33% and obtain a Good Classification category based on ROC Curve results. This research provides insights into consumer perceptions of electric motor technology, offering valuable feedback for manufacturers in the development of superior electric motor products. Leveraging sentiment analysis, manufacturers can enhance product improvements, increase quality, and expand functionality to meet the evolving market demands
PELATIHAN PEMANFAATAN DIGITAL PARENTING CONTROL MENGGUNAKAN GOOGLE FAMILY LINK PADA IBU TAMAN KAMPUNG TANGGUH
Get PDFThe use of digital technology is increasingly widespread in the modern era, which is changing the way parents educate their children. "Google Parenting" emerged as a term that reflects parents' efforts to face the challenges of parenting in the digital era. This concept emphasizes the importance of parents understanding the impact of technology on children's development as well as appropriate development strategies to use it wisely while maintaining balance in family life. This service activity aims to provide understanding to parents about using the Google Family Link application. The first stage includes theoretical explanations, direct practice using the application, and interactive discussions. The material is delivered through multimedia techniques using a laptop and the internet. This activity is not only informative but also involves active participants through modules, pretests, posttests and discussions. The results of the training for PKK RW 012 Taman Kampung Tangguh mothers showed an increase in their awareness and understanding of digital risks for children as well as their ability to control children's online activities. This helps reduce the risk of exposure to age-inappropriate content and improves communication between mother and child regarding digital safety
PELATIHAN PEMBUATAN WEB COMPANY PROFILE UNIT KERJA KARANG TARUNA KELURAHAN TEGAL PARANG
Get PDFKarang Taruna is an organization that exists in Indonesia. Because surely in every village there is this organization. Karang Taruna is a place for teenagers to develop themselves to be responsible and have a social spirit. Technological developments can now be enjoyed by everyone throughout the world. Looking for information, we just have to type in Google what we want, after that so many references appear so that we can read the latest information without fear of missing out on information and this is a very significant difference where in the past it was very difficult to get the latest information and You have to wait a while to get this information. Now a problem where people don't know about Karang Taruna Tegal Parang Village and the activities they carry out. The solution offered is training in creating a company profile website for Karang Taruna, Tegal Parang. The training is carried out using the Technical Assistance method in the form of Training. The results obtained from this training were that the youth organization administrators can understand how to create a company profile website and can host the website they created. So that it can produce the latest information to citizens
EFEKTIVITAS PELATIHAN PEMBUATAN KONTEN DIGITAL DALAM MENINGKATKAN PEMASARAN PRODUK KELOMPOK WANITA TANI (KWT) PANCASONA
Get PDFThe Women Farmers Group (KWT) Pancasona, located in the Dephan Pondok Rajeg Asri complex, manages 5 plot areas and 1 greenhouse, focusing on providing organic vegetables. However, they face challenges in effectively utilizing social media to promote their harvests and sales, particularly in digital content creation. This community service initiative aims to provide training in digital content creation using the Canva application to enhance product marketing through social media. The methods used include observation to identify the problems faced by the partners, preparation of appropriate training materials, conducting training and mentoring in technology-based content creation with Canva, and evaluation to measure participants' understanding after the training. The results show that participants' understanding of the Canva application increased from 61% in the pretest to 92% in the posttest. Feedback from questionnaires indicated high satisfaction with the materials, facilities, and benefits of the training. Overall, this activity was effective in improving the knowledge and skills of participants, helping to provide solutions to marketing problems by optimizing social media use