This research introduces an innovative approach for pattern recognition in medical images through the application of Robert's edge detection method. Pattern recognition in medical images has great significance in disease diagnosis and patient care management. Edge detection is an important stage in image processing which aims to determine the boundaries of objects in the image. Robert's edge detection method is one of the classic methods that has been used in image processing. However, improving edge detection performance is needed to improve accuracy in pattern recognition in medical images. In this study, we propose a modified variation of Robert's method to increase the accuracy in finding edges in medical images. The proposed innovative approach is tested using a large and diverse medical image dataset. Evaluation is carried out by comparing the edge detection results using the conventional Robert method with the results using the proposed modified method. Quantitative analysis is carried out to measure the performance improvements achieved. Experimental results show that the modified Robert edge detection method produces significant improvements in precision and accuracy in finding edges in medical images. These results indicate that the proposed innovative approach has the potential to improve pattern recognition in medical images and can make valuable contributions in the diagnosis and management of diseases.

The Medan City Sanitary and Parks Department has the responsibility of carrying out the waste transportation process from the source of waste to the location of the Sanitary Landfill. Every day, the waste transportation vehicle receives a Road Order Letter from the sub-agency located in the sub-district, which contains information on waste transportation information. After the transportation is complete, the letter is submitted to the landfill scale department for tonnage and origin data collection. However, at present, all waste transportation data collection activities are carried out manually, including the provision of assignment letters and data collection of waste tonnage and fleet routes at the landfill. This results in ineffectiveness in the data collection operations. This encourages researchers to design a monitoring and fleet assignment information system at the Medan City Sanitary and Parks Service. Data collection is done by observation and interviews. The system development model in this system uses SDLC (System Development Life Cycle) Waterfall and uses UML (Unified Modeling Language) as a method of describing the flow of the system by applying the Use Case Diagram, Activity Diagram and Sequence Diagram models. The system is designed to run on a website system and is built using the PHP programming language with MySQL as a database. With this system, it is hoped that it can help in facilitating fleet assignments and monitoring the amount of waste entering the Sanitary Landfill .

This paper presents a comprehensive analysis of the performance and efficiency of two widely used compression software, WINRAR and 7-Zip, across various data types. The study focuses on evaluating their effectiveness on different operating systems, specifically Windows 11 and Ubuntu 23.10. The analysis encompasses considerations such as compression ratios, resource utilization, and processing times. WINRAR and 7-Zip are examined in diverse scenarios, including the compression of text files (.txt), image files (.png), audio files (.flac), and video files (.mp4). The study reveals notable variations in compression outcomes influenced by intrinsic complexities of each file format. Moreover, the investigation extends beyond the initially studied operating systems, suggesting potential applications on other platforms like Kali Linux. The findings contribute insights into the nuanced performance of compression software across varied data types and operating environments, facilitating informed decision-making for users seeking optimal compression solutions.

Civil servant career development through talent management is an entity that is prioritized by the government. Talent management is a strategic approach to identifying, developing, and retaining individuals with exceptional potential and performance for critical organizational positions. The purpose of this study is to investigate and describe talent management-based state civil apparatus (ASN) career development in the context of a contemporary public service system. This study employs a qualitative approach and descriptive methodologies. The study's findings indicate that the Implementation of Talent Management adheres to the merit system's objective, planned, transparent, timely, accountable, political intervention-free, and KKN-free principles. Talent development in ASN is carried out through three main approaches: career acceleration, competency development, and qualification improvement. Although talent management-based ASN career development sounds good, there are several inhibiting factors that need to be addressed, such as leadership commitment and less than optimal follow-up assessments. It takes strong leadership commitment and policies in implementing a merit system and proper follow-up on ASN assessment results so ASN career development can run well.
 

Data security and confidentiality is one of the most important aspects in the field of communication, especially communication using computer media. One of the fields of science that is used to secure data is cryptography. Cryptography is a science that uses mathematical equations to encrypt and decrypt data. Encryption is the process of converting plaintext (readable data) into ciphertext (unreadable data) and decryption is the opposite of encryption, which changes ciphertext back into plaintext. In this study, the RC4 algorithm will be discussed to encrypt and decrypt mp3 files stored on the computer.

Mutual exclusion is one of the mechanisms that can be used to solve concurrency problems in the operating system. In the operating system, there are resources that cannot be shared at the same time, such as printers. These kinds of resources are called critical resources. Programs that use critical resources are called entering critical regions/sections. Programmers cannot rely on the operating system to understand and enforce these limits. The mutual exclusion settlement process was submitted by several experts. One of them is Lamport with a method known as Lamport's Bakery Algorithm. The work process of Lamport's Bakery Algorithm starts from the buyer entering the store and receiving the sequence number. If there is a waiter who is idle (not being / will serve other buyers), then the buyer directly asks for service from the waiter. If not, then the buyer sits in the buyer's waiting area and waits until his turn. Shoppers who have finished being served out of the store and waiters who are idle serve the lowest numbered buyers who are waiting at the waiting place of the buyer

. Data confidentiality and security are critical in data communication, both for the purpose of shared security, and for individual privacy. Computer users who want their data unknown to unauthorized parties are always trying to work out how to secure the information that will be communicated or that will be stored. Protection against data confidentiality is increasing, one way is by applying cryptographic science. Cipher Block Chaining (CBC), this mode is a feedback mechanism on a block, and in this case the result of the previous block encryption is feedback into the current block encryption. The trick is to block the current plaintext in XOR first with the ciphertext block of the previous encryption result, then the result of this XOR-ing goes into the encryption function. With CBC mode, each ciphertext block is calculated not only on its plaintext block but also on the entire previous plaintext block. The author tries to co-create a text encoding to secure the data with the Cipher Block Chaining (CBC) cryptographic method.

. In maintaining the confidentiality of SMS, it takes a way to secure information that is important or confidential, namely by encrypting the SMS text, the level of information security of the message can be increased. One way to use for data and or information security is to use cryptographic system, this application uses RC4 algorithm which has the advantage of having a high level of security and speed process. This makes RC4 the best choice for the encryption process required by the information world towards the next century. The purpose ofbya is to prevent the occurrence of information / data taker without being known by the owner.

The need for large data storage capacity seems increasingly important. This need is caused by the data that must be stored more and more. The storage is not allocated in one place only. But they will also store data or files elsewhere as data backups. How much storage capacity must be provided to hold all the data. Half Byte algorithm is one of the data compression algorithms. The Half Byte algorithm utilizes four left bits that are often the same sequentially especially text files. When the first four bits of the character are received in a row seven or more times, the algorithm compresses the data with marker bits, then the first character of the same four-bit series is followed by the last four-bit pair of the next series

For a secret message to be read and understood by a specific person only, a way is needed to hide the message, namely by steganography. Steganography is the concealment of secret messages in other media, such as images, audio, or video, so that the media inserted into the message looks as usual. Digital photos are one of the container media that are widely used for data hiding. However, when processing images such as compression, rotation, noise, and so on, confidential messages in the picture are prone to damage or loss. Then it takes the correct steganography method to hide secret messages into images to keep messages safe, not damaged even if the container image is manipulated, and the hidden message can be extracted again. on this thesis, applied masking method – filtering. Masking-filtering is included in the spatial domain. Message hiding is done by manipulating the luminance value of the image. Its use is applied to color or grayscale images. Masking serves as a tagging place on the picture that can be inserted message. Filtering passes a value to the marked section. the result is a stego image where the news is integrated with the container image, more robust to image processing when compared to methods that are also classified in the spatial domain, such as the least significant bit.