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PENINGKATAN KEMAMPUAN DIGITAL MARKETING PELAKU USAHA DI DESA WISATA BEJIHARJO
Get PDFBejiharjo Tourism Village, located in Karangmojo Subdistrict, Gunungkidul Regency, possesses significant natural and cultural tourism potential. However, limited capacity among local business actors in utilizing digital marketing has hindered the optimal promotion of tourism products. Properly managed, this tourism potential could drive various aspects of community development, particularly in the economic sector, and contribute to local welfare. Effective tourism management relies on the ability of managers to package and present these potentials in ways that positively support community empowerment in Bejiharjo Village. In response to this condition, a community service program was implemented with the theme of enhancing the digital marketing skills of local business actors. The objective was to raise awareness and improve the ability of these actors to utilize digital marketing for promoting tourism products, an increasingly vital skill in the context of global competition. The program was carried out through planning, implementation, evaluation, and follow-up stages. Training employed adult learning methods, combining lectures, discussions, and hands-on practice, with a focus on social media-based promotion strategies. The results indicated high participant enthusiasm during training and mentoring sessions, improved understanding of digital platforms, and greater awareness of the importance of technology-based marketing. Some participants began applying social media management to promote their products, although further assistance remains necessary. This program demonstrates that digital marketing training can serve as an effective strategy to strengthen the marketing capacity of tourism village entrepreneurs, ultimately contributing to tourism development and the improvement of local community welfare
ARTIFICIAL LEARNING BASED ON KERNEL SVM FOR THE PREDICTION OF CARDIOVASCULAR DISEASE HYPERTENSION
Get PDFHypertension, a critical risk factor for cardiovascular diseases, requires accurate early detection for effective management. This study examines the application of kernel-based Support Vector Machines (SVM) for predicting hypertension, utilizing advanced machine learning techniques to address the complex, non-linear relationships inherent in healthcare data. By employing various kernel functions, such as the radial basis function (RBF) and polynomial kernels, the study aims to enhance the model's ability to capture and interpret the nuanced patterns associated with hypertension risk. The research utilizes a diverse dataset that includes demographic, physiological, and lifestyle variables, applying kernel SVM to predict hypertension outcomes. Performance is evaluated through rigorous cross-validation, with metrics including accuracy, precision, recall, and F1-score. The findings indicate that kernel SVMs significantly outperform traditional linear models, offering superior prediction accuracy and robustness. This study highlights the potential of advanced machine learning methods in improving early detection and personalized risk assessment for hypertension, ultimately supporting more effective management strategies and better cardiovascular health outcomes
DESIGN AND DEVELOPMENT OF AN INTERNAL QUALITY AUDIT INFORMATION SYSTEM BASED PPEPP CYCLE
Get PDFThe Mataram University of Technology Quality Assurance Institute already has and has established national education standards plus the standards set by universities following Permendikbud number 3 of 2020. However, there are problems with the implementation of Internal Quality Audits, where the implementation of internal quality audits is very less effective and efficient, good in terms of time, cost, and energy. This is because the Mataram University of Technology Quality Assurance Institute only has 3 auditors to audit 12 study programs in one year and even spends two months in a row. This is an important concern for researchers to build and produce an internal quality audit information system application program that can help implement the internal quality audit process carried out by the Mataram University of Technology Quality Assurance Institute. The design of the internal quality audit information system was carried out using the prototyping method. The application of the prototyping method in system design will make information system builders better and more structured. The internal quality audit information system was built using the PHP programming language with the CodeIgniter framework and MySQL as the database and implementing Code-View-Controller (MVC). The main objective of this research is to produce an internal quality audit information system so that it can assist the Mataram University of Technology Quality Assurance Institute in documenting and optimizing higher education quality management in a planned and sustainable manner following the PPEPP cycl
EXPLORING THE ECONOMIC IMPACT OF SMART CITY INVESTMENT: A LITERATURE REVIEW
Get PDFThe current implementation of smart cities aims to enhance the quality of life for their communities. Smart city investments can be achieved through collaborative efforts between information and communication technology and human resources, transforming areas into sustainable cities. Many countries are becoming increasingly interested in smart city investments. However, it remains unclear how these investments can achieve their intended goals. The primary issue lies in the lack of effective methodologies to measure the economic impact of such investments. Many cities lack comprehensive assessment tools to gauge the economic impact of smart city implementations, making it difficult to determine whether these investments deliver the desired benefits. This article aims to provide references regarding the economic impacts of smart city investments and the frameworks that can be used to measure them. The methodology employed in this research is a literature review based on references published over the past five years. According to findings, smart city investments have been found to impact aspects such as e-commerce and e-business, the creation of environmentally friendly environments, cost savings and economic benefits, GDP growth, and increased income for regions/cities through effective smart city utilization. Several frameworks have been gathered to measure economic impact, such as Computable General Equilibrium (CGE), Energy Efficient Integrated Planning Framework (EEIPF), and Open Data Impact for Smart Cities Framework (ODISC). Each framework serves to illustrate how examples of smart city investments can influence the economy of a region or city
BERKAH JAYA ELECTRIC SHOP APPLICATION IS BASED ON ANDROID
Get PDFBerkah Jaya Electric Shop is a shop engaged in the sale of various kinds of electrical equipment. Goods sold by the store such as cables, sockets, and switches. The process of selling goods at the store is only done offline, namely by means of buyers coming directly to the store location. The process of managing store goods is still done by manually recording. This certainly causes problems such as the obstruction of buyers by time, and inefficient management of stock items. With this research, a sales application will be created that can make it easier for buyers to order goods, make product complaints, get information on the goods needed, and assist sellers in managing stock items and reports. This application will be built using the Waterfall method, utilizing the PHP, Laravel, and Kotlin programming languages. Making this application makes it easier for buyers to place orders via smartphones and sellers can more easily manage goods
DEVELOPMENT OF RESPIRATORY SYSTEM RPG GAME USING UNITY WITH A* (A STAR) ALGORITHM
Get PDFThis research addresses the need for more engaging and interactive methods to improve elementary students' understanding of complex scientific concepts, particularly the respiratory system. To overcome the limitations of traditional teaching methods, an educational Role-Playing Game (RPG) incorporating the A* (A-Star) algorithm was developed for optimal game navigation. The study followed the ADDIE development model, which involves Analysis, Design, Development, Implementation, and Evaluation. During the analysis phase, learning needs were determined through interviews and classroom observations. The design phase involved creating game scenarios and integrating educational content with interactive elements. The A* algorithm was applied during development to ensure efficient navigation. The game was implemented in a 5th-grade classroom in Kuningan, and its effectiveness was evaluated using pre-tests, post-tests, and student questionnaires. Results demonstrated a significant increase in students' understanding, with average post-test scores rising from 58 to 85. Feedback from both students and teachers was very positive, with the game receiving a 94.2% acceptance rate. The study suggests that RPG-based educational games with intelligent algorithms like A* can greatly enhance science education by offering a more engaging and effective learning experience, contributing to advancements in technology-based learning and setting a standard for future educational game development
ANALYZING THE COMPARATIVE METHODS OF PREWITT, ROBINSON, KRISCH AND ROBERTS IN DETECTING THE EDGES OF RICE LEAVES
Get PDFThis research explores the vital role of rice in Indonesia as a staple food and primary source of income for farmers. Efforts are being made to increase rice production to meet the growing demand. The study focuses on object edge detection in image analysis, evaluating methods like Prewitt, Robinson, Krisch, and Roberts. Digital imaging plays a crucial part in visually presenting information, and image processing improves image quality for human and machine recognition. Detecting object edges, particularly in rice leaf images, is essential for computer inspection. The experiment on fifteen rice leaf images shows that the Krisch method performs better in edge detection, with a 52% average accuracy and smoothness. Other methods, such as Prewitt (6%), Robinson (11%), and Roberts (14%), have lower accuracy rates. These findings provide a foundation for enhancing edge detection in rice leaf image analysis. The study also emphasizes the need for refining classification models. Overall, this research provides insights into the effectiveness of edge detection methods in rice leaf image analysis
The APPLICATION OF GDSS USING AHP AND BORDA METHODS IN HYDROPONIC PLANT QUALITY DETERMINATION
No full textHydroponic cultivation in Gowa Regency, South Sulawesi, experienced serious failure. This failure occurred during the seeding process, caused by the use of poor quality seeds and a lack of consistent attention and control over the environmental conditions of plant growth. The aim of this research is to apply the AHP and Borda methods in a group decision support system to contribute to determining the best plant quality for hydroponic cultivation. In evaluating plant quality, assessment criteria are used which include leaf growth, stem strength, stem quality, planting media, and use of vitamins. There are also 6 alternative plants being evaluated, namely lettuce, bok choy, kale, kale, spinach and celery leaves. The AHP method is used to outline the hierarchical evaluation of hydroponic plant quality, facilitating priority-based decision making through determining relative weights between criteria. Meanwhile, the Borda method is used to integrate the ratings of the three decision makers, producing reference values for each alternative and helping determine the overall quality of hydroponic plants. The calculation results show that the selected alternative, namely spinach, was ranked first with a value of 10.23, while the alternative lettuce plant was ranked sixth or last with a value of 3.69 as the best quality plant. With these findings, spinach plants are considered an effective solution for hydroponic cultivation in Gowa Regency and can be applied more widely in the context of modern agriculture. So that it can increase the yield and sustainability of hydroponic cultivation in Gowa Regenc
ACHIEVEMENT STUDENT SELECTION SYSTEM USING THE SAW METHOD AND WSM METHOD
Get PDFHigher education is an academic establishment that prepares students for the workforce by imparting both theoretical knowledge and practical skills, shaping them into educated individuals ready for professional life. One way to encourage increased student competence is to implement a selection of students with good achievements in terms of academic and non-academic abilities. The assessment of outstanding students has been widely implemented, but the system needs to be criteria-based. This research develops a Decision Support System, which makes it easier and helpful for the Dean and head of the department to decide on outstanding students. The study used 2 Multi-Criteria methods. The two methods of the applied multi-criteria concept The Simple Additive Weighting and Weighted Sum Model are applied to assess 22 students UIN Sayyid Ali Rahmatullah Tulungagung, enhancing their readiness for the job market by refining their theoretical understanding and practical capabilities through higher education. Students come from 4 different faculties taken randomly. These faculties include tarbiyah, ushuluddin, economics and sharia each semester 6. The outcomes from both techniques exhibit a high level of similarity. MHS8 and MHS10 secure the top two spots, with variations emerging in subsequent rankings when considering the combined criteria of the two methods. Based on the system test results, the system's output using these two methods produces students with achievements in almost the same order, and students with achievements made from the system are in accordance with conditions in the field that these students really have achievements
OPTIMIZATION OF LIVESTOCK MONITORING SYSTEM IN OUTDOOR BASED ON INTERNET OF THINGS (IOT)
Get PDFLivestock businesses are often underestimated by the public because they are associated with less hygienic working environments. However, the demand for livestock products such as meat and milk is increasing, providing significant business opportunities. Several obstacles, such as livestock loss and the capital required for cage construction, are barriers to starting a livestock business. Livestock losses, especially in outdoor farms, often occur because of the lack of proper monitoring and data collection. Therefore, technology is required to overcome this problem. The application of IoT technology is an effective solution for overcoming this problem. By utilizing sensors, such as GPS, temperature, and heart rate, farmers can monitor farm animals remotely using Android applications. In this study, a U-blox Neo6m GPS sensor was used to track the location of farm animals, a temperature sensor was used to monitor the temperature conditions of farm animals, and a heart rate sensor was used to determine the health of farm animals that had been tested. The use of a 1500 mAh LI-ION LITHIUM battery as a power source proved to be sufficient for 7 h. The results showed that this IoT-based Outdoor Livestock Monitoring System can provide information on the last location of livestock as well as real-time heart rate and temperature data in the database. This innovation opens opportunities for farmers to improve livestock management and monitoring efficiently, minimize losses, and increase the productivity of their livestock busines