Growth rapid computing cloud, especially on academic, government, and service platforms. public, has trigger improvement frequency and complexity Distributed Denial of Service (DDoS) attacks. Intelligent DDoS attacks AI based capable copy pattern Then cross user valid, so that difficult detected and mitigated. The majority approach mitigation moment This nature reactive, no scalable, and tends to sacrifice availability service for authorized users. Research​ This aiming develop architecture proactive and adaptive defense​ For ensure continuity service during attack ongoing. Security model proposed hybrid​ integrating Zero Trust Architecture (ZTA), adaptive bandwidth control, and isolation service container -based. Architecture consists of from three layer Main: (1) ZTA Policy Engine which performs verification identity and assessment behavior through tokens and policies intelligent; (2) Adaptive Bandwidth Load Balancer which automatically dynamic separate and arrange Then cross based on reputation and level trust ; and (3) Containerized Service Cluster which groups request to in different containers For user trusted and not known . Components addition such as blockchain -based smart contracts are used For recording request and verification access , as well as lightweight AI module used for profiling then cross in real-time. Simulation results show that this model succeed increase availability service for user trusted during attack , press false positive rate , as well as optimize allocation source power. Integration of zero trust policies with intelligence Then cross and segmentation service in real-time forming framework effective and scalable defense​ to modern DDoS threats . In conclusion , the study This contributes a robust , adaptive , and modular architectural model for maintain continuity cloud services in condition network at risk .

The rapid growth of digital services has intensified the energy demands of data centers, significantly impacting operational costs and global carbon footprints. This study leverages Machine Learning (ML) and Big Data to optimize energy management in data centers, addressing limitations in prior approaches that overlooked real-time variability. A predictive model utilizing the Random Forest algorithm was developed to reduce energy consumption based on dynamic factors, such as workload and environmental conditions like temperature. The research used a six-month dataset consisting of approximately 3 million data points from an operational data center. After preprocessing the data, the model achieved a high predictive accuracy, reflected by an R-squared value of 0.87. The findings demonstrate that the model reduces energy consumption by an average of 11.17% daily, with peak savings of up to 15.56% during off-peak hours. Key metrics, including a Mean Squared Error (MSE) of 0.034 and a Root Mean Squared Error (RMSE) of 0.184, validated the model's effectiveness and reliability. Statistical tests further confirmed its precision within a 95% confidence interval. This study contributes to the academic field by integrating real-time environmental data into predictive modeling, offering a scalable solution for energy-efficient data center operations. The outcomes support sustainability initiatives by mitigating carbon emissions and reducing operational costs. The findings also provide a framework for applying ML in broader industrial contexts requiring efficient energy management. Future research may explore incorporating additional variables, such as user behavior, to further refine predictive capabilities.

The lack of awareness from Resto visitors in the process of disposing of garbage in its place makes the environment around the Resto polluted at least the awareness of Resto visitors to dispose of garbage in its place is still low. The purpose of this research is to create an automation system for the trash can. The problem that arises for Resto S2 is the lack of effectiveness, especially in the tissue waste section, one of the solutions that can be done for these problems, namely by designing a device in the form of a smart trash can that can open and close automatically, so that Resto visitors do not need to make direct contact with the trash can. Researchers aim to realize the design of the tool, as for the method carried out in this study is to implement the design of a smart trash can in the form of a box that has an input in the form of an ultrasonic sensor, and an output in the form of a servo motor. The results of input and output testing show that the ultrasonic sensor can detect movement in front of the trash can and the servo motor can move the trash can cover, so it can be concluded that the smart trash can work system as a whole can function properly in accordance with the design that has been made.

Peningkatan mobilitas kendaraan di perkotaan seringkali mengakibatkan kesulitan dalam mencari lokasi parkir yang tersedia. PT. ARISA MANDIRI PRATAMA (ARISA) sebagai sebuah perusahaan dengan jumlah karyawan yang besar, menghadapi tantangan serupa di mana karyawan mereka harus menghabiskan banyak waktu untuk mencari lokasi parkir yang masih kosong, yang pada akhirnya dapat mengganggu produktivitas dan kenyamanan kerja. Oleh karena itu, tugas akhir ini bertujuan untuk merancang, mengembangkan, dan mengimplementasikan alat informasi slot parkir otomatis menggunakan Arduino Uno dan sensor inframerah guna mengatasi masalah tersebut. Alat ini akan memanfaatkan teknologi sensor inframerah untuk mendeteksi ketersediaan slot parkir secara real-time. Sensor Inframerah akan ditempatkan pada pintu masuk dan pintu keluar yang akan mengirimkan informasi ke Arduino Uno ketika kendaraan memasuki atau meninggalkan slot tersebut. Informasi ini akan ditampilkan pada layar LCD, dengan bantuan alat ini, karyawan dapat dengan mudah mengetahui slot parkir yang masih kosong, menghindari pemborosan waktu, dan meningkatkan efisiensi dalam mencari lokasi parkir.

Of course, a soccer field needs water and the fertility of the field soil so that the grass can grow. The development of science and technology currently has a big influence on getting work done. A pump is a tool used to move liquids (fluids) from one place to another through pipes (channels) by adding energy to the fluid being moved and continuing continuously. Currently, many water pumps still use the manual method, namely using a switch or even just using a plug. Grass will also live if the soil has appropriate humidity, if the soil moisture level is low, the grass will die if there is excess moisture and it will not be able to grow. This problem certainly requires a solution that can help monitor soil moisture as well as control water pumps. By utilizing NodeMCU ESP8266 microcontroller technology as the control center, the YL-69 sensor measures soil moisture values ??and also relays as a replacement for manual switches. To control pump conditions via Blynk.

Using different programming languages when software advancement is a familiar method in current software advancement. Nevertheless, using various languages that can hinder developer capacity is not widely known. This research simulated an unplanned controlled study examining the adoption of various languages in the situation of a directory programming task. Participants in this study were given programming tasks written in Java and one of three SQL-like embedded languages.  Simple “SQL” over authority, “Java” program only, and a more Java-like hybrid embedded language. Furthermore, to transcribe the responses to the online quest and the participators' “task” solutions, the participators' eye movements were also recorded with an eye tracker.
 “Eye Tracker” or in this study call as “Eye-Trc” is the methodology of the study of software development that has developed nowadays and grants more in-depth info about how developers accomplish programming tasks. This Eye-Trc method is used as a data collection method in this study. Eye-Trc data was get by thirty-one participators (university background and Industrial Background) for different programming tasks. To analyze the impact of inter-group inconstant and professional experience and in-group “task” variables on the dependent variable Time in completion, this study used a mixed model ANOVA. The outcome of this study indicates that an important impact on productivity was not found, this is different from the initial research because of the language used.
However, the same effect was found from the participators' expertise in programming activity indicating that more competent programmers were easy to full fill “polyglot programming tasks” more efficiently. In addition, it was raised that participators viewed the specimen code with the same proportion (time) for bringing “task” reckless of skills or language alternative provided. dominant-stage exploration management also remains mostly consistent over the experiences or language alternatives. Overall, it can be concluded that the programming stage of the linguist doesn’t have an important impact. The top-stage strategies that participators used came to be identical reckless of the language alternative presented to them. As a suggestion for future research, the impact of various characteristics of polyglot programming languages should be studied in depth for the conclusions reached to remain correct across various polyglot programming contexts.

This study aims to build a library system application that can be used in the library of the Faculty of Engineering UNTAG Semarang based on an RFID card. From the background of the problem, namely, the process of borrowing and returning books is quite long, because to search for borrowed books the librarian must go to the bookshelf and look for the title of the book to be borrowed. The difficulty in making reports, because it is done after the library activities are finished, does not automatically coincide with the process of borrowing and returning services. Starting from the problems above, and paying attention to the number of daily visitors in the library that must be served, the authors propose to create a library service application using an RFID tag that can help the process of searching for member data and library books quickly.

In recent years IoT has developed very rapidly. IoT devices are used to monitor and control physical objects to transform the physical world into intelligent spaces with computing and communication capabilities. Compared to cloud computing, fog computing is used to support latency-sensitive applications at the edge of the network which allows client requests to be processed faster. This study aims to propose a monitoring framework for containerized black box microservices in a fog computing environment to evaluate CPU overhead, as well as to determine the operating status, service characteristics, and dependencies of each container.
This study proposes a monitoring framework to integrate computing resource usage and run-time information from service interactions using a black box approach that seeks to integrate service-level information and computing resource information into the same framework. The proposed framework is limited to observing information monitoring after the server receives a request. This study uses JMeter to simulate user actions, which send requests to the server, and this research assumes the user knows the IP address of the server. For container monitoring methods in fog computing, all are indirect monitoring methods.
The results of this study indicate that the proposed framework can provide operational data for visualization that can help system administrators evaluate the status of running containers using a black box approach. System administrators do not need to understand and modify target microservices to gather service characteristics from containerized microservices. Regarding future research, it is suggested to expand the exploration of modified system information, and that part of the container management tool code can be pre-tried so that the framework proposed in this study can provide real-time quantitative indexes for the load balancing algorithm to help optimize the load balancing algorithm.

Ternak lovebird sebagai pekerjaan sampingan tidak bisa merawat ataupun memberikan pakan secara tepat waktu. Karyawan juga harus masuk kedalam kandang untuk mengetahui kondisilingkungan kandang apakah panas atau dingin. Jika tidak membersihkan kandang burung ataupun mengetahui kondisi kandang, induk tidak akan bertelur lagi dikarenakan stess karenalingkungan kandang yang kotor dan tidak sesuai. Sedangkan terlambat memberi pakan bisa memberikan efek yang burung bagi burung karena bisa mengalami sakit dan tidak mau bertelur lagi. Oleh sebab itu dibutuhkan sebuah sistem atau alat yang dapat memonitoring pakan serta mengisi secara otomatis dan kondisi kandang setiap waktu menggunakan smartphone.

This study aims to design and develop an effective learning media and become a media to assist in studying Physics in depth at SMK Mataram Semarang, especially in the Impulse and Momentum material. Physics becomes a boring subject for students, because many students think that Physics is a lesson that is difficult to understand, less interesting and feels monotonous. This has an impact on decreasing students' interest and value in studying Physics.The research was conducted using the Research and Development (R&D) method with six stages, namely Research and Information Collecting (Research and Information Gathering), Planning (planning), Develop Premliminary Form of Product (Product Design Making), Premliminary Field Testing (Product Design Validation) , Main Product Revision (Design Revision), Main Field Testing (Product Testing of Products in the Field by Prospective Users). Determination of the feasibility level of multimedia-based learning media based on design validation by experts and product trials to students using a research instrument in the form of a questionnaire. The development of multimedia-based learning devices can develop devices that have been used so far, from conventional devices to become more interesting learning media. The application of multimedia-based learning media can help support the teaching and learning process to make it easier to explain or deliver material to students. In addition, it can help students to understand more deeply so that students' scores can be increased more than without using learning media.