This research examines the effectiveness of Barium Ferrite and PANI/Fe?O? composite as Radar Absorbing Material (RAM) to reduce radar detection. Barium Ferrite has high absorption at high frequencies as well as good thermal stability, making it suitable for applications under extreme and long-term conditions. In contrast, PANI/Fe?O? composites exhibit high flexibility, the ability to absorb waves over a wider frequency range, as well as light weight, ideal for requirements with lightweight materials, such as aircraft. The analysis shows that the selection of RAM depends on the application requirements regarding frequency range and thermal stability. This study recommends the development of composite materials that combine the advantages of both materials as well as field tests to ensure optimal performance in stealth applications.

Village development is an effort to improve the quality of life and life for the greatest welfare of village communities. Meanwhile, the aim of village development is stated in article 78 paragraph 1, namely improving the welfare of village communities and the quality of human life as well as overcoming poverty through fulfilling basic needs, developing village facilities and infrastructure, developing local economic potential, and using natural resources and the environment in a sustainable manner. As is the case with village development, Watu Wona Village is one with a majority of farmers, which is an example of a road access development plan that really needs assistance from the government in its construction to support the production and sale of agricultural products. Infrastructure is still lacking, damaged infrastructure roads make access to the village difficult. As a result, the flow of goods and services to villages to transport agricultural products is also lacking and hampered. Based on the existing problems, village development planning is needed using a decision support system (SPK) so that village selection in Watu Wona village is faster and more accurate. By using the SAW method comparison

With the development of an era that increasingly prioritizes technology, the curiosity of a human mind expects technology that can help human work, so it is undeniable that human work can be replaced by technology. This thesis proposal will design a device that can automatically water plants in pots. In plant maintenance, not many people can care for the garden healthily and properly, especially when watering the plants. By making this automatic plant design, it will provide assistance and convenience for ornamental plant lovers. This device aims to facilitate human work that was originally done manually, to be done automatically. By using Arduino Uno as its microcontroller, Soil Moisture Sensor to assess the level of moisture in the soil, as well as motors and Infra Red Sensors to determine the location of the pot that needs water
 
 

Tea plantations are an important sector in Indonesia's agricultural industry that contributes significantly to the country's economy. The success of tea cultivation is highly dependent on the quality of the seedlings, making data collection and management of tea seedlings a crucial element. However, the manual data collection process still used at PTPN4 faces various challenges such as recording errors, data loss, and information delays, which will have an impact on operational efficiency and decision making. This study analyzes the application of a web-based information system for data collection of tea seedlings in PTPN4 plantations, with a focus on the provision or stocking of seedlings. The results show that a web-based system using the waterfall method can improve the efficiency, accuracy, and transparency of data management, while facilitating integration between units in the organization.
Abstrak. Perkebunan teh merupakan sektor penting dalam industri pertanian di indonesia yang memberikan kontribusi signifikan terhadap ekonomi dalam negara. Keberhasilan budidaya tanaman teh sangat bergantung pada kualitas bibit, sehingga pendataan dan pengelolaan bibit teh menjadi elemen krusial. Namun, proses pendataan manual yang masih digunakan di PTPN4 menghadapi berbagai tantangan seperti kesalahan pencatatan, kehilangan data, dan keterlambatan informasi, yang nantinya akan berdampak pada efisiensi operasional dan pengambilan keputusan. Penelitian ini menganalisis penerapan sistem informasi berbasis web untuk pendataan bibit teh di perkebunan PTPN4, dengan fokus pada penyediaan atau stok terhadap bibit. Hasil penelitian menunjukkan bahwa sistem berbasis web dengan menggunakan metode waterfall dapat meningkatkan efisiensi, akurasi, serta transparansi pengelolaan data, sekaligus memfasilitasi integrasi antar unit dalam organisasi.

The development of digital technology has transformed how companies present themselves online, with company profile and portfolio websites becoming crucial tools in building image and credibility in the digital market. This research aims to identify business opportunities in the website development industry, particularly for small and medium enterprises (SMEs), using NestLink as a case study. Utilizing the Business Model Canvas (BMC) method, the research analyzes the business model components of NestLink in providing website development services.The research results show that NestLink offers customized website solutions, including company profile website creation, ready-to-use templates, and portfolio websites. Distribution channels include social media, official websites, and digital advertising. The main strategy focuses on responsive design, good user experience, and flexible templates. The primary revenue comes from website development services and template sales.
 
 

This study aims to measure the level of participant satisfaction with learning services at LKP Multi Talenta Komputer Purwokerto. Participant satisfaction is an important indicator in assessing the effectiveness of the learning curriculum implemented. Factors such as facilities, services, and obstacles in learning become the main benchmark. Data from 54 respondents were processed using K-Means Clustering algorithm to identify the most superior and weak factors. The results of this study provide recommendations for future service improvements, in order to increase participant loyalty and learning effectiveness.

Estimating the effort, time, and cost needed to build a software project is an important task in software engineering. Estimating software prior to development can help to reduce risk and improve the project success rate. Researchers have developed numerous traditional and machine learning models to estimate software effort, but it has always been difficult to estimate effort precisely. This paper presents a predictive model based on artificial neural networks namely ANNs to predict the software effort. The NASA dataset is applied to construct the proposed model. The system was trained using 50 data points, and the remaining 10 were used for testing. It was concluded that the ANN approach could estimate the software effort with high accuracy. A comparative study with other published equations was also performed, and it was found that ANN had less error and produced better results than other existing methods.

This study aims to use the fishbone diagram as a tool to identify the causes of damage to the feeder mechanism of scrap machines and to develop Standard Operating Procedures (SOP) that can improve performance and reduce the level of damage. This diagram is used to evaluate various elements that contribute to the damage of the feeder mechanism, such as human, machine, material, method, and environmental factors. Through this evaluation, the main causes of the damage can be identified, and appropriate corrective actions can be formulated. In addition, this research also aims to design SOPs that ensure more efficient operation of the scrap machine and reduce the likelihood of operational errors. The implementation of mechanism improvements and SOPs is expected to enhance the reliability of the scrap machine, reduce downtime, and increase productivity in the mechanical technology laboratory. The findings of this study are expected to make a significant contribution to the development of management systems and equipment maintenance in both industrial and educational sectors.
 

This report is titled "Development of an Application System to Improve the Efficiency of Food Distribution in Nutritious Healthy Community Groups." This research aims to design and implement a technology-based application system that manages the food distribution process for healthy and nutritious community groups, especially for the elderly. The Healthy and Nutritious Community Group is an organization that is committed to providing and distributing nutritious food to the community. One of the main challenges faced by this organization is the lack of efficiency in the distribution process which is still carried out conventionally. This conventional practice often leads to delays in delivery as well as inaccuracies in the distribution of groceries. Data was collected through direct observation and in-depth interviews with the organization's managers as well as the couriers involved in the distribution process.

File systems are key operating system components because they store and retrieve files as needed. Traditional hierarchical file systems no longer suit current users’ expectations in organizing extensive collections of files for easy retrieval based on intrinsic and user-defined properties. The number of files in users’ collections is growing substantially, partly because of the ease with which consumer devices capture information. With the enormous capacity of contemporary storage devices and the rising trend of users storing their data in the cloud, they only fuel the number of files needing to be managed. We suggest that current file systems require an enhanced technique of data organization and access so that users can properly handle these ever-increasing data collections. File systems are key operating system components because they store and retrieve files as needed. This study offers improvements to the conventional Hierarchical File System to improve file organization and retrieval through built-in querying capabilities and support filesystem-level operations that execute significant amounts of metadata updates. This is accomplished using attributes (name-value pairs) in a file collection hierarchy. A series of improvements to the HFS introduce the “AttFS” file system. These improvements include using attributes rather than names, logical collections rather than directories, and introducing a query language to the API. We assess the expressive capacity of the resulting model, demonstrate that it solves the relevant shortcomings of traditional file systems in this space, and compare our new approach to those provided by others and our earlier work. We conclude that attributes are better suited than tags to overcome traditional HFS shortcomings.