Brain tumor detection using deep learning has become a focus of research due to its potential to improve patient diagnosis and management. This study presents a comparative analysis to evaluate how the fundamental design philosophies of convolutional neural network (CNN) architectures, namely sequential (VGG16), residual (ResNet50), and encoder-decoder (U-Net), influence performance on brain tumor classification tasks using a public MRI dataset. The data undergoes preprocessing, including normalization, data augmentation, and division into training and testing subsets. Evaluation is conducted using accuracy, precision, recall, and F1-Score metrics. The results show that ResNet50 consistently outperforms other architectures with an average accuracy of 95.35%, followed by VGG16 (93.93%). Conversely, U-Net, designed for segmentation, demonstrates the lowest performance (79%). The superiority of ResNet50 highlights the benefits of residual connections in addressing the vanishing gradient problem for classification tasks. The poor performance of U-Net confirms the hypothesis that architectural suitability for a specific task is more critical than complexity alone. This study highlights the strength of ResNet50 as a reliable approach for brain tumor classification. It underscores the importance of selecting an architecture specifically designed for the intended medical image analysis task. In addition, an analysis of model complexity and computational efficiency was conducted, showing that while ResNet50 achieved the highest accuracy, VGG16 provided a more favorable trade-off between performance and training time.

Whale shark boat operators are people or organizations that manage and operate boats for tourism purposes that involve interaction with whale sharks. The basis of this study was conducted to analyze the income earned by whale shark boat operators and their operational challenges. Several factors that need to be considered include the number of tourists, the rates charged by the operator, and the operational costs that must be borne. The purpose of this study is to analyze the income and evaluate challenges faced by whale shark tour boat operators. This study uses descriptive survey and observation methods using primary and secondary data, and quantitative income analysis, to identify respondents using the census sampling method. Based on the results of the study, the average net income of whale shark tour boat operators in Botubarani is Rp. 11,710,000 per year. As for the operational challenges in developing whale shark tourism, there are 3 things that affect income, namely the appearance of whale sharks, weather factors, number of visitors, and when there are fewer or no visitors during the wind and wave season which results in no income because whale sharks do not appear on the surface of the water

The rapid growth of the city in Pulubala Urban Village, Gorontalo City, has resulted in pressure on the environment and the use of green open space (RTH). This study aims to analyse the use of green spaces in the residential area of Pulubala Village, which is inhabited by various ethnic groups. The method applied was descriptive qualitative, with data collection through observation, interviews, and documentation. The research findings indicate that RTH in Kelurahan Pulubala, covering an area of 0.50 Ha, consists of two categories, namely RTH Settlement Area and Smart Park. The benefits of RTH include play areas for children, social activities, and improved environmental quality. However, problems such as lack of space, poor condition, and environmental pollution threaten the sustainability of RTH. To optimise the utilisation of green spaces, better planning, increased public awareness, and the development of attractive facilities are needed. This research is expected to contribute to the preservation and development of green open spaces in urban areas.

This study aims to analyze the level of attack by Macaca hecki on cultivated plants in Makarti Jaya Village, Pohuwato, Gorontalo. Agriculture is the main source of income for the local community, but the presence of Macaca hecki can threaten agricultural yields. The method used in this research is descriptive qualitative, with data collected through direct observation and interviews with farmers experiencing the attacks. The results indicate that corn (Zea mays) is the most consumed plant by Macaca hecki, followed by cocoa (Theobroma cacao) and several other types of fruit such as bananas and papayas. The high consumption rates of these cultivated plants negatively impact agricultural results, causing significant economic losses for farmers. Therefore, it is important to understand the attack patterns and the factors influencing the behavior of Macaca hecki. This research recommends the need for more effective protection strategies, such as the placement of physical barriers and diversification of plant types. Thus, it is hoped that this study can contribute to the management of conflicts between wildlife and agriculture, as well as enhance the economic sustainability of farming communities.

Rapid development and population growth in urban areas have caused various problems, one of which is the decreasing availability of clean water. This has an impact on the agricultural and fisheries sectors which are highly dependent on good water quality. As an alternative to overcome this problem, the aquaponic system offers a solution by combining fish and plant cultivation in one efficient water recirculation system. However, the quality and productivity of the aquaponic system are highly dependent on good management, which requires proper monitoring and control of environmental conditions such as temperature, pH, humidity, and water quality. This study aims to design and build a Node-RED-based aquaponic monitoring and control system. This system uses various sensors to monitor environmental conditions and provide automatic control of parameters that affect plant and fish growth. By using Node-RED as a platform for sensor and control integration, this system is expected to provide an efficient and affordable solution to increase the productivity of the aquaponic system. The results of the study show that the designed tool can carry out effective monitoring and control of parameters that affect the aquaponic system, and can be accessed in real-time to facilitate system management and supervision.

This research aims to develop a Task Management Application to assist lecturers in managing and monitoring student assignments. Currently, communication and coordination for assignments are conducted through platforms like WhatsApp, Google Meet, and Google Classroom, leading to challenges in task monitoring, execution, file storage, communication, and task management. These issues include ineffective group chats and a lack of information on ongoing or upcoming tasks. Using the Waterfall model methodology, the research focuses on creating an application that addresses these problems by providing task monitoring, a forum for student-lecturer communication, file storage, and a time schedule feature for project completion. The application is designed to facilitate better task management and improve the learning process for both lecturers and students.

This research aims to develop a Task Management Application to assist lecturers in managing and monitoring student assignments. Currently, communication and coordination for assignments are conducted through platforms like WhatsApp, Google Meet, and Google Classroom, leading to challenges in task monitoring, execution, file storage, communication, and task management. These issues include ineffective group chats and a lack of information on ongoing or upcoming tasks. Using the Waterfall model methodology, the research focuses on creating an application that addresses these problems by providing task monitoring, a forum for student-lecturer communication, file storage, and a time schedule feature for project completion. The application is designed to facilitate better task management and improve the learning process for both lecturers and students.

The learning process of physical education is similar to the learning process of other lessons, where there is interaction in the learning and also a change in attitude for the better. Facilities are all facilities needed for the teaching and learning process, both indoors and outdoors, so that the objectives of this learning research are achieved properly, organized, efficient, and effective. Educational infrastructure is a number of facilities that indirectly facilitate, such as school yards, gardens, and roads leading to school. This research aims to find out and examine how PJOK facilities and infrastructure in State Elementary Schools in Purwosari District, Pasuruan Regency. The data collected through interviews and observations were then analyzed through descriptive quantitative data processing using Microsoft Excel. The determination of the sample was carried out using the Slovin formula with a predetermined error rate of 20%, so the total sample was obtained from 14 State Elementary Schools. The results of the study showed that the existence, condition and ownership status of physical education, sports and health facilities in State Elementary Schools in Purwosari District were in category E with an average overall percentage of 42%. For infrastructure in category E with a percentage of 28.5% feasible, This shows that there are still many facilities that do not meet the requirements and completeness. Based on these results, the researcher suggested that there is a need for accuracy in the distribution of funds for facilities and infrastructure so that the existing facilities and infrastructure meet the standards reviewed from Permendiknas No. 24 of 2007. For teachers, it is also necessary to modify facilities and infrastructure so that existing facilities and infrastructure can still support learning properly.

The number of foods that are developing in the food sales industry. So that new innovations are needed both in terms of taste and packaging. Usually most people will eat dessert at the end of their meal. However, not infrequently many of us want to eat dessert eaten in our spare time or as we know when snacking. By using thinwall in various sizes, the author makes dessert food, namely cheesecake using thinwall to facilitate sales and consumption because the portion is right, meaning the portion is not excessive or not lacking at all. So in this writing this time we get to know the innovation of cheesecake snacks and how to make them which can be snacks in your spare time or become a sales idea for readers. The research method used is the literature review method and the method of opening a business. The literature review method itself comes from previous journals or books obtained by the author.

Penelitian ini bertujuan untuk mengkaji secara empiris faktor-faktor yang mempengaruhi Nilai Perusahaan pada perusahaan Industri Automotive and Component yang terdaftar di Bursa Efek Indonesia. Penelitian ini diuji dengan Tiga variabel independen yaitu Leverage, Pertumbuhan Penjualan, dan Market Share. Objek pada penelitian ini adalah perusahaan Industri automotive and component yang terdaftar di Bursa Efek Indonesia dengan menggunakan teknik purposive sampling. Penulis memilih 13 perusahaan sebagai sampel. Penelitian ini menggunakan analisis regresi data panel diperoleh dari laporan keuangan dan Indonesian Capital Market Directory (ICMD). Periode penelitian selama lima tahun. Penelitian ini menggunakan data sekunder dengan bantuan aplikasi Eviews 12. Hasil Penelitian menemukan bahwa, Leverage, Pertumbuhan Penjualan,  memiliki pengaruh signifikan terhadap Nilai perusahaan, sedangkan Market Share memiliki pengaruh yang tidak signifikan terhadap Nilai Perusahaan .