Identity recognition is an important process because many systems require a valid user identity for security and access control. I dentity recognition such as passwords, signatures, id cards have some weaknesses that are they can be duplicated, stolen, forgotten, and even lost. Identity recognition using biometric techniques is known to be more reliable. Biometric technique is a recognition and classification technique that uses human behavior and physical atributes. In this research, a non-realtime simulation system is designed to identify a person by biometric of retina image. The s ystem can identify one's identity through pattern of retinal blood vessels. The processes of this system divided into two stages that are training stages and testing stage. The identification process begins with prepocessing retinal photo. Biometric features extracted by using Discrete Orthonormal S Transform (DOST) . Biometric classification by using Adaptive Resonance Theory 2 (ART 2) with unsupervised learning process that can recall previously learned patterns . The results obtained from this study showed 65% of accuracy for the right retina image and 50% of accuracy for the left retina image. Computing time is about 6 seconds. Further development is needed to improve the accuracy of the system as a security and access control systems.

Campak masih menjadi masalah kesehatan di berbagai belahan dunia, terutama di negara berkembang, salah satunya Indonesia. Pada tahun 2022, Sumatera Utara akan menjadi salah satu provinsi yang masuk dalam daftar daerah dengan status kejadian luar biasa (KLB). Menurut data yang diperoleh dari Dinas Kesehatan Provinsi Sumatera Utara, pada tahun 2022 terdapat 127 kasus campak yang tersebar di 33 kabupaten/kota di Sumatera Utara. PLSR dapat menangani masalah multikolinearitas yang dapat menghasilkan estimasi titik. Untuk mengukur akurasi estimasi pada PLSR, diperlukan teknik analisis atau teknik empiris seperti Jackknife, yaitu teknik untuk menaksir standar error suatu estimator melalui proses resampling. Maka penggabungan estimasi interval Jackknife dan PLSR menjadi metode yang tepat untuk menangani data yang bersifat multikonferensi. Berdasarkan pemaparan hasil dan pembahasan di atas, maka dihasilkan pemodelan proporsi kasus campak di Sumatera Utara tahun 2022 dengan menggunakan metode Jack-Knife Partial Least Squares. Jack-Knife Partial Least Squares dimaksudkan untuk membentuk model yang lebih kuat dan sederhana, sehingga dapat memberikan prediksi secara efisien dengan melibatkan penjelasan yang minimal. Model Jack-Knife Partial Least Squares berhasil menunjukkan nilai tertinggi dari masing-masing variabel, variabel y = 0,9744, variabel y = 0,9472, variabel y = 0,9933, variabel y = 0,9962, variabel y = 0,9957, variabel y = 0,8912.

All information in data exchange transactions on communication networks travels through the network infrastructure. The network infrastructure sends various types of data, including text, images, and documents with various extensions. These documents may be private and confidential. Therefore, it is crucial to have a message security option that is not only user-friendly but also has a high level of security system complexity. The purpose of this research is to build a text message security system using the Advanced Encryption Standard (AES) algorithm on mobile devices. We can utilize it as a security solution to safeguard text messages received through mobile devices. The AES security algorithm is known to have reliability in processing data encryption and decryption. The research will describe components such as the design, implementation, and analysis of application requirements. Important features include encryption, decryption, and key management in addition to an easy-to-use UI. The research findings show that this program successfully secures text messages while maintaining the confidentiality and integrity of the data sent. Additionally, we adjusted the application's parameters to align with mobile device standards, ensuring consistent encryption and decryption procedures that users can easily operate. For application testing, we use the black box testing method to ensure that the design and application function as intended, adhere to security regulations, and provide a positive user experience. This study's results suggest that AES-based mobile messaging security applications can serve as a tool to fulfill the secure communication expectations of mobile users.

Well - established family communication will give attachment and mutual need to form communication patterns . For children who live far from their parents, communication is relied on media intermediaries and quite a few experience a lack of communication effective . The urgency of this research is seen long- distance interpersonal communication patterns of parents and children especially for Communication Science students at Medan Area University class of 2022 who come from from outside Medan and its obstacles . This qualitative research method uses Focus Group Discussion which involves ten parents and ten child as a participant. The result is the long- distance interpersonal communication patterns of parents and children use secondary communication patterns that is via cellphone. Characteristics of interpersonal communication can be strengthen interpersonal relationships between parents and children especially in context parenting . Ten parent participants applied authoritative communication patterns , meanwhile authoritarian communication patterns , permissive communication patterns No found. However, communication is established tend to only fulfill material needs and focus more on the mother. The role of fathers is still minimal, what can be done impact on fatherless parenting. Obstacle factor long distance communication patterns viz internet connection , busy parents and children making communication limited. It is important for parents and children to maintain effective communication in order to benefit the not lost because distance physique .

This research presents a systematic review of cloud computing adoption trends from an organizational perspective. Leveraging a rigorous research methodology, we collect and analyze related literature studies to identify common patterns in organizations' adoption of cloud computing. The theoretical foundation covers the basic concepts of cloud computing and organizational technology adoption models, providing a framework for understanding these changes. Through an in-depth review, we uncover common trends in cloud computing adoption, such as the evolution of business models and attention to security and compliance aspects. Organizational factors, such as organizational structure and culture, play an essential role in the decision-making process regarding adopting these technologies. In addition, we explore the benefits and challenges that organizations face during the adoption process. The research also includes case studies or examples of successful cloud computing deployments, providing in-depth insights into how specific organizations overcame challenges and leveraged the benefits of the cloud. The findings pave the way for further discussion regarding practical implications for business stakeholders and future research directions. By investigating these essential elements, this research provides a comprehensive overview of cloud computing adoption trends and contributes to understanding how organizations can manage the transition to an ever-evolving technological environment.

The classification process is also used in artificial intelligence (AI), which is intelligence created by a computer, so that it can mimic actions like humans in general and can capture events that occur in the surrounding environment. Seeing the very high development of the international coffee trade, it can be concluded that if there is a type of coffee that has the best quality, it will be sought after by coffee importing countries. Batik is cloth that is painted using canting and liquid wax to form motifs or patterns that have high artistic value. Batik has a variety of unique and distinctive patterns that reflect the region where the batik motif originates. One area that has batik motifs in Indonesia is batik in the North Coastal Region of Java Island. In this area, various batiks are produced according to the characteristics of the area itself. Regarding information related to the introduction of types of batik motifs, perhaps it comes from people who have batik skills and batik craftsmen who best understand batik as a whole, while the general public does not really know about batik motifs. Because batik has different motifs and batik motifs in some areas have motifs that are almost uniform but not the same. One of the technologies that can be used is deep learning. The purpose of this study is to propose a Convolutional Neural Network (CNN) and Transfer Learning (TL) model to be implemented in an intelligent system for the process of image classification of coffee bean types. The method used in this study is the PSOCNN transfer learning model VGG16 From the results of tests carried out on 2 models, namely the CNN model, the PSOCNN transfer learning model VGG16. it was found that the highest accuracy was obtained when classifying batik motives images using the PSOCNN-transfer learning model VGG16, which was 83%. The level of accuracy that is increased when compared to the usual CNN model indicates that the use of transfer learning has a good effect on the level of accuracy obtained. Although an increase of 6% is significant, but with this increase it opens up opportunities to increase even higher by using other transfer learning models

Increased global warming and awareness of the need to reduce greenhouse gas emissions have strengthened the focus on energy efficiency in various sectors, including the HVAC (Heating, Ventilation, and Air Conditioning) industry. In this context, the selection of air conditioning (AC) systems becomes crucial in providing thermal comfort. However, decisions regarding air conditioning systems are often complex as they involve considerations of energy efficiency, operational costs, system reliability, and environmental impact. To address this complexity, Complex Proportional Assessment (COPRAS) emerged as an effective multi-criteria analysis method. However, the application of COPRAS in determining AC system traffickers is still limited. This research explores the possible application of COPRAS in this context and identifies key factors to consider. The evaluation results show that Medan Elektronik and Citra Inovasi Prima are the top choices in the selection of AC system traffickers. This research is expected to contribute to the development of more sophisticated analysis methods in the HVAC industry as well as assist decision makers in selecting more appropriate and sustainable air conditioning systems.

The birth rate of babies in Indonesia tends to increase every month, based on this fact, the population in Indonesia is increasing over time. One of the contributing factors is increasingly sophisticated technology, so that a country's birth rate can be accelerated, and if this event occurs continuously it will have an impact on population density which will occur notlonly inlIndonesia, butlalso throughoutylthelworld. Therefore, birth rate predictions are needed for planning and public policy in the fields of health and social welfare. One of them is using data mining techniques to predict the number of births in Medan City using the KNN method. KNN is a classification method based on the neighborhood value between training data and test data. Thelpredictioniresults will beicompared withlactual datalto measure thekaccuracy of predictions on birth data totaling 131 data. The accuracy results obtained were 83.9% with a total of 4,413 births and 8,485 pregnant women

Analysis for Pneumatic Systems using the Python programming language on Google Colab has been carried out. The steps taken before the simulation are to design a pneumatic system and then determine the Laplace equation based on Bernoulli's law equation. The Python programming language on Google Colab was chosen because it allows users to type Python code in a web browser and can be used for free. The simulation is carried out by varying the value of capacitance (C) from 50 kPa -300 kPa with an increase of 50 kPa. This aims to determine the effect of changes in capacitance variations on the pressure exerted on the pneumatic system. Based on the simulation results, the greater the capacitance variation given, the resulting graph will be more sloping or closer to the x-axis. The C = 50 kPa variation has a steeper graph, while the C = 300 kPa variation has a more sloping graph and is closer to the x-axis.