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Air Quality Control System With Gas Leak Detection In Rooms With Fuzzy
Full text linkIndoor air quality is an important factor affecting human health and safety, especially in industrial and laboratory environments that are at risk of hazardous gas leaks. To overcome this problem, a system is needed that is able to monitor air quality in real time and detect gas leaks with a high level of accuracy. One of the artificial intelligence methods that can be used in air quality control systems is fuzzy logic, which is able to process sensor data with a high level of uncertainty and produce optimal decisions.This study aims to design and develop an air quality control system with fuzzy logic-based gas leak detection. This system uses various sensors, such as gas sensors (MQ-series), temperature sensors, and humidity sensors, whose data is processed using a fuzzy algorithm to determine the level of air quality and detect gas leaks automatically. If a gas leak or a decrease in air quality is detected below the set threshold, the system will activate a warning alarm and control ventilation to maintain safe air conditions.The test results show that the developed system is able to detect gas leaks with a high level of accuracy and provide a quick response to changes in indoor air conditions. The use of fuzzy logic allows the system to adjust actions based on the severity of the leak or air pollution, thereby increasing efficiency and reliability in air quality control. Thus, this system can be an effective solution in improving indoor safety and comfort, especially in environments that are vulnerable to gas leaks
The Role Of Volunteers In Encouraging Youth Empowerment Through Social Media In Philanthropic Organizations
Full text linkThis thesis is titled "The Role of Volunteers in Empowering Youth through Social Media at the Filantroop Organization." The purpose of this research is to understand the role of volunteers in promoting youth empowerment through social media at the Filantroop organization, to identify the reasons why young people choose to become volunteers, and to determine the challenges faced by volunteers at Filantroop. This study employs a qualitative approach with a descriptive research design. Data collection methods include participatory observation, in-depth interviews, and documentation to obtain a comprehensive understanding of the actual conditions in the field regarding the role of volunteers in promoting youth empowerment through social media at the Filantroop organization. The findings of this research indicate that volunteers at Filantroop fulfill three types of roles in youth empowerment: active roles, participatory roles, and passive roles. The active role involves creating and sharing beneficial content for Filantroop's social media followers. The participatory role includes contributing creative ideas and engaging in the planning, implementation, and evaluation of events. The passive role involves accepting partnerships or collaborations with other organizations, where volunteers participate only as attendees during collaborative activities. Additionally, this research identifies various perspectives on youth empowerment applied by volunteers at Filantroop, including pluralist, elitist, structuralist, and post-structuralist perspectives
An Analysis and Design of an Iot Based Automated Wood Drying System With Real Time Humidity Monitoring
Full text linkWood drying is an important process in the wood processing industry to improve its quality and durability. However, conventional methods are often inefficient due to the lack of real-time control of moisture levels. This study aims to analyze and design an au-tomatic wood drying system with Internet of Things (IoT)-based moisture monitoring. This system uses a moisture sensor to measure the water content in wood periodically, which is then sent to an IoT platform for remote monitoring. The data obtained is used to automatically control the heating element to maintain optimal conditions in the drying room. With the implementation of this technology, the drying process becomes more ef-ficient, energy efficient, and produces wood with more consistent quality. The test results show that this system is able to adjust the temperature and drying duration adaptively based on the actual condition of the wood, thereby increasing efficiency compared to conventional methods. It is hoped that this research can be an innovative solution for the wood industry in increasing productivity and quality of the final product
Steganography Test for Exif Metadata on JPEG Files With AES-256 Encryption for Secret Message Security
Full text linkOne of the main challenges is hiding secret messages in media such as JPEG images. However, embedding messages directly into EXIF metadata can pose detection risks and vulnerability to forensic analysis attacks, and this technique faces challenges in security, resistance to metadata manipulation, and message extraction accuracy. The method used in this study involves embedding a message encrypted using AES-256 ECB mode and Base64 into the EXIF metadata of JPEG files, so that only those with the decryption key can access the message content. This system is designed to be compatible with standard image processing software without changing the main structure of the JPEG file, making it difficult to detect by conventional metadata analysis techniques. Test results show that this method is able to embed secret messages with a high level of security without changing the visual quality of the image. AES-256 encryption encoded in Base64 is proven to be effective in maintaining the confidentiality of messages, so that only users with the correct decryption key can access them. Thus, the combination of EXIF metadata steganography and AES-256 encryption in Base64 provides an effective solution for securing secret messages in JPEG files, improving data protection against the threat of information theft and manipulation
An Increasing The Effectiveness Of Electrical Energy Use Effectiveness Of Electric Energy
Full text linkIncreasing the effectiveness of electrical energy use is an important step in reducing excessive energy consumption, and reducing operational costs. This research aims to identify and analyze various efforts that can be made to increase the effectiveness of electrical energy use. The research method used is a literature study by collecting data from various journals and scientific articles related to energy saving. The research results show that the application of energy-saving technology such as LED lights, the application of an automatic control system that can regulate energy use according to needs, and the application of an energy management system based on Internet of Things (IoT) technology have also been proven to increase energy effectiveness. This research also found that public education and awareness about energy savings has a very important role in optimizing the use of electrical energy. With proper implementation and supporting policies, this effort can provide significant cost saving
An Effectiveness Of Mycorrhia And Lime Application On The Growth Of Oil Palm Seedlings (Elaeis Guineensis Jacq) In Peat Soil
Full text linkHigh interest in developing oil palm plantations increases land value and relaxes land suitability criteria. Flat topography, specifically peatlands, has been targeted as potential new areas for development since the 1990s. Peatlands are acidic, so improving soil pH with lime, specifically CaCO3, is crucial for oil palm seedling growth. Mycorrhiza presents an effective alternative for nutrient absorption. The study found that mycorrhiza and CaCO3 did not significantly affect plant height and stem girth in oil palms. Lime application especially increased soil pH, with the best treatment being 400 gr of CaCO3 per polybag. Meanwhile, mycorrhiza significantly infected oil palm roots, with the best treatment being 40 gr per polybag. The combination of mycorrhiza and lime did not significantly affect plant growth parameters, but the best treatment was 40 gr of mycorrhiza and 400 gr of lime per polybag
Vitamin C Administration Method On Osteoblast Healing In Rats Femur Bone
Full text linkBone, as an important organ in the body, has a fundamental role in supporting biomechanical functions, carrying out the hematopoiesis process, and maintaining calcium homeostasis. The cellular components of bone involve various types of cells, including osteogenic precursor cells, osteoblasts, osteoclasts, osteocytes, and hematopoietic elements from the bone marrow. Vitamin C, or ascorbic acid, is a water-soluble vitamin that plays an important role in the formation of collagen, skin, tendons, ligaments, blood vessels, as well as in wound healing and maintenance of cartilage, bones, and teeth. This study aims to analysed mean value and difference in the number of osteoblast cells in the femur of rats exposed to alcohol between groups receiving vitamin C. Based on the results of the One Way ANOVA test, the p value = 0.018 <0.05 was obtained, which indicated a significant difference in the average osteoblasts between groups. Furthermore, in the Post Hoc test, a difference in the mean osteoblasts was found between groups T3 and T5 with a p value = 0.029 < 0.05 and between groups T4 and T5 with a p value = 0.044 < 0.05. Conclusion: Administration of vitamin C can affect the increase in the number of osteoblast cells in the bone healing process in mice exposed to alcohol
Implementation of the Preparation of Local Government Implementation Reports (LPPD) by the Government Section of the Regional Secretariat of West Sumba Regency
Full text linkThis research is motivated by the fact that the preparation of LPPD reports in West Sumba Regency is still not optimal. The purpose of this research is to analyze and determine the implementation of the preparation of the Regional Government Administration Report (LPPD) by the Government Section of the Regional Secretariat of West Sumba Regency. The theory used in this research is the theoryImplementation of policyAccording to Edward III (1980), there are five indicators, namely communication, resources, andisposition;and structure birocracy.Then using descriptive qualitative methods. The data sources used are primary data and secondary data. Data collection techniques through observation, interviews and documentation. Data analysis methods with data reduction, data presentation and drawing conclusions. The results of this study indicate that the Implementation of the preparation of the Regional Government Administration Report (LPPD) by the Government Section of the Regional Secretariat of West Sumba Regency. In the Communication indicator, it is still not optimally carried out by the Regional Secretary of West Sumba Regency, this is proven based on the results of the study that the communication carried out has not been consistent in compiling the LPPD report in West Sumba Regency. In the resource indicator, it is still inadequate, proven based on data on the number of apparatus of the Regional Secretariat of West Sumba Regency, it is still inadequate in maximizing the preparation of the LPPD report. In the disposition and bureaucratic structure indicators, it has been implemented quite well, proven based on the results of research related to the preparation of the LPPD report in West Sumba Regency. Inhibiting FactorsImplementation of the preparation of the Regional Government Administration Report (LPPD) by the Government Section of the Regional Secretariat of West Sumba Regencynamely the still limited number of human resources and budget allocation
Building A Polite Digital Culture: The Impact Of Netiquette Implementation In Mitigating Hate Speech On Whatsapp And Its Effect On The Reputation Of Medan Aviation Polytechnic Educational, Cybersecurity, Social Responsibility, Compliance, And Mental Healt
Full text linkThis study aims to analyze the implementation of netiquette (internet etiquette) in building a respectful digital culture, particularly within the academic community of Medan Aviation Polytechnic, through the WhatsApp social media platform. Using both quantitative and qualitative approaches, this research evaluates the understanding of netiquette among students, lecturers, and staff, as well as its effectiveness in mitigating hate speech that could tarnish the institution's reputation. The results show a significant increase in the level of understanding of netiquette after education, with 85% of respondents stating that discussions became more conducive and professional. Observations over three months revealed a 53% reduction in the frequency of hate speech in WhatsApp groups. Regression analysis uncovered a positive relationship between the application of netiquette and the reduction of digital conflicts (r=0.72, p<0.01). Additionally, the implementation of netiquette contributed to the improvement of the institution's digital reputation, with a positive increase in perceptions from students and external partners towards Medan Aviation Polytechnic. This research emphasizes that the application of netiquette is not only effective in creating polite digital communication but also serves as a crucial strategy in maintaining the image of higher education institutions. Recommendations include integrating digital literacy into the curriculum and providing regular training on digital ethics for the academic community
Application of K-Means Algorithm for Segmentation Analysis of Youtube Viewers in Indonesia
Full text linkThe application of K-Means as a clustering method in segmentation analysis is common. However, academic research on YouTube audience segmentation in Indonesia is still limited. YouTube audiences in Indonesia are diverse, ranging from entertainment, education, to news, so more in-depth analysis is needed to identify user segments more specifically. YouTube audience segmentation can provide a deeper understanding of people's video consumption behavior. This understanding can help content creators and digital industry players develop more effective content strategies. K-Means was chosen as the clustering method in this study because it can group YouTube viewers in Indonesia based on their interaction patterns with YouTube content. In addition, K-Means' ability to handle large data is suitable for segmenting platforms with a large number of users such as YouTube. This research uses three main features, namely views, duration, and engagement rate to group viewers into five clusters. Cluster evaluation using Silhouette Score (0.3445), Davies-Bouldin Index (0.9576), and Calinski-Harabasz Index (481.4730) shows that the resulting segmentation is of good quality. The analysis shows that there are differences in video consumption patterns across clusters, reflecting variations in viewer preferences and engagement levels