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.

This study aims to design and develop a prototype IoT-based archive room monitoring system to enhance security and efficiency in archive management at the Village Office of Desa Pingit, Pringsurat District, Temanggung Regency. The system utilizes a UV Flame Detector for fire detection and a DHT11 sensor for monitoring temperature and humidity, with an ESP32 as the main controller connected via Wi-Fi. Integrated with the Telegram app, users can receive real-time notifications and updates on archive room conditions, facilitating remote monitoring. Testing results indicate that the system effectively detects fire presence and accurately provides temperature and humidity updates. This innovation is expected to aid in risk management and archive protection, offering a practical solution for modern archive room management.

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.

Attendance is a data collection activity to determine the number of people present at an event. Every activity always requires information about participant attendance. This also happens in the learning process. The benefit of attendance using an Arduino based RFID scanner is that it makes it easier for attendance officers to input practical data because they can retrieve and store attendance data from RFID tags directly. Research on the development of attendance to become more effective in the education sector. Every activity that requires information about participant attendance will definitely utilize the use of tools that are used as proof of participant attendance, while teacher attendance currently used is using fingerprints. When absent, problems often occur, namely the finger that will be used to do the fingerprinting. Based on the background above, the author created automatic attendance to make attendance easier while at the agency where the teacher teaches. Meanwhile, the barcode scanner is a faster data input process compared to the manual method. This input process can be done with a scanner to record the data contained in the barcode quickly, so it doesn't need to take a lot of time.

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.

Dalam penelitian ini, sebuah aplikasi Android dikembangkan menggunakan MIT App Inventor untuk mengontrol robot mobile berpenggerak empat roda berbasis bluetooth. Pendekatan flowchart digunakan dalam merancang aplikasi ini. Percobaan dilakukan untuk memvalidasi pengendalian robot menggunakan aplikasi tersebut. Hasilnya menunjukkan bahwa robot dapat dikendalikan secara efektif dan aplikasi ini memiliki potensi pengembangan lebih lanjut. Penelitian ini memberikan kontribusi dalam bidang pengembangan aplikasi kontrol robot berbasis mobile dan meningkatkan pemahaman tentang implementasi teknologi dalam konteks robotika

Perkembangan teknologi informasi saat ini sangat bermanfaat bagi masyarakat terutama dikalangan instansi baik pemerintahan maupun swasta. Salah satu kemajuan tehnologi informasi yang sering digunakan oleh instansi swasta dalam memecahkan masalah terstruktur ataupun semi terstruktur adalah Sistem Pendukung Keputusan atau Decision Support System (DSS). Sistem Pendukung Keputusan dirancang untuk menunjang seluruh tahapan pembuatan keputusan, yang dimulai dari tahapan mengidentifikasi masalah, memilih data yang relevan, menentukan pendekatan yang digunakan dalam proses pembuatan keputusan sampai pada kegiatan mengevaluasi pemilihan alternative. Selainitu juga digunakan untuk menunjang sebuah keputusan seperti Pengambilan keputusantentang promosi jabatan.
Promosi jabatan merupakan salah satu bentuk apresiasi perusahaan terhadap Sumber Daya Manusia atas hasil kerjanya. Penilaian kinerja untuk promosi jabatan juga sudah banyak dilakukan oleh perusahaan swasta salah satunya adalah pada bidang Manufaktur garment di kota Semarang, PT. Richtek Garmindo adalah perusahaan swasta yang bergerak di bidang Manufaktur garmen. Untuk mendapatkan Sumber Daya Manusia Asisten Chief Supervisior Sewing maka penilaian kinerja untuk promosi jabatan akan diambil dari karyawan bagian sewing yang sudah berkompeten dalam hal sewing.
Saat ini promosi jabatan yang dilakukan oleh PT. Ricktek garmindo belum optimal dan masih bersifat subjektif karena masih menggunakan sistem manual yaitu masing-masing supervisior memilih atau menyeleksi langsung operator sewing yang dipromosikan dengan kriteria skill kerja saja, pemilihan yang dilakukan oleh supervisior juga masih menggunakan nilai kekerabatan dalam proses seleksi, dan karena terlalu banyaknya operator sewing serta belumadanya sistem yang terintregasi maka proses seleksi masih berjalan lama kurang lebih 1 bulan untuk mendapatkan operator sewing yang siap untuk dipromosikan.

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.