This research aims to find out how effective and efficient correspondence management is after the use of online-based electronic information and communication technology (paperless office system) in processing incoming letters. Utilization of information technology in correspondence management is management of an agency's correspondence system by utilizing information technology in the form of computer media, the internet or other media using either manual or electronic systems. The main discussion in this research is how effective the delivery of incoming mail services is with an electronic system and the obstacles faced in implementing these two systems in mail management. The research results show that the application of information technology in correspondence management is able to speed up the administration process, reduce human error, and increase data accessibility and security. However, several obstacles such as limited skilled human resources and inadequate technological infrastructure are still challenges. Recommendations are provided to overcome these obstacles, including training for staff and improving technological infrastructure. Thus, it is hoped that the use of information technology in correspondence management can continue to be improved to support a more modern school administration and efficient.

PT BrickBern is a distribution company specializing in LEGO (Leg Godt) toy products. An efficient inventory information system is crucial for managing the diverse range of LEGO products and enables the company to meet customer demand effectively. The V-Model method was chosen as a structured development approach due to its advantages in well-defined development and testing stages, allowing for early error detection and correction. The research began with a needs analysis that included an in-depth understanding of the company's requirements for LEGO product inventory management. The system design phase followed, covering database design, user interface design, and adequate system architecture. Subsequently, the system was implemented and tested, and training was provided to users. The research outcome is a web-based inventory information system that supports PT BrickBern in managing LEGO product inventory more efficiently and in real-time, thereby enhancing PT BrickBern's operational efficiency in distributing LEGO products and increasing customer satisfaction. Furthermore, these findings can serve as a reference for similar companies looking to develop web-based inventory information systems using the V-Model method.
 

The diversity in societal exercise preferences has increased significantly, with fitness emerging as a favored modern activity, particularly in urban areas of Indonesia. Fitness is valued for its effectiveness in restoring body fitness and achieving ideal body shapes swiftly. However, in the era of Industry 4.0, technological advancements have revolutionized the approach to fitness. Smartphone fitness applications have replaced the role of personal trainers by providing tailored exercise and dietary programs. User Interface (UI) plays a pivotal role in fitness applications, influencing User Experience (UX). The challenge lies in designing UI to accommodate user heterogeneity, both internally and externally. Adaptive UI emerges as a solution, capable of altering layout and content according to user characteristics. Kernwerk® Functional Fitness exemplifies a fitness application utilizing AI to optimize fitness routines. To enhance Kernwerk's UI adaptability, UX evaluation is conducted using UEQ+ modular extension, a comprehensive instrument for effectively and efficiently measuring user experience. Through this evaluation, components of UI and UX requiring further development to enhance Kernwerk's adaptability can be identified.

Dinas Perpustakaan dan Kearsipan Kota Surabaya (DISPUSIP) is one of the Surabaya city government institutions whose role is to provide and manage public service facilities in the library and archives sector in the City of Surabaya. DISPUSIP has an IT Team that manages information technology including the development of Management Information Systems (MIS). In working on MIS development, the DISPUSIP IT Team experienced problems related to the division of job desks between members and the MIS work flow was unclear and undocumented because there were no procedures and documentation for MIS development activities. Therefore, MIS development governance is needed in the form of a Standard Operating Procedure (SOP) to manage MIS development activities. The preparation of SOPs in this thesis uses the gap analysis method to determine the gap between current conditions and ideal conditions. Current conditions were obtained from interviews and observations, while ideal conditions were obtained from activities in the System Development Life Cycle (SDLC), the COBIT 5 domain BAI03 framework, and ITIL v3 change management. The output produced from this thesis is a MIS development SOP document which consists of 5 procedures, namely: New MIS Planning SOP, New MIS Analysis SOP, New MIS Design SOP, New MIS Implementation SOP, and MIS Module Addition SOP verified using the interview method and validated with SOP test simulations to find out whether the SOP is appropriate.

Abstract The utilization of information technology plays a crucial role in the operations of organizations or companies, including the Communication and Informatics Agency of East Java Province. The utilization of information technology is governed by Presidential Regulation No. 95 of 2018 on the Electronic-Based Government System (SPBE). The purpose of conducting risk management evaluation is to reduce the impact of risks within the organization and to determine the level of SPBE risk management capability. This research uses the Control Objectives for Information and Related Technologies (COBIT) 5 framework. The current assessment results for EDM03 Ensure Risk Optimization (as is) have reached Level 2 – Managed Process with a score of 74.9%, and APO12 Manage Risk (as is) has reached Level 1 – Performed Process with a final score of 79.39% with the category of L (Largely Achieved). Based on this assessment, the gap for EDM03 is one level, and the gap for APO12 is two levels

In the rapidly developing digital era, social media such as Twitter has become part of everyday life and facilitates the rapid dissemination of information, including information about criminals. This research aims to analyze public sentiment towards information about criminals spread on Twitter using the Naive Bayes algorithm. This algorithm was chosen because of its simplicity and effectiveness in text classification. Data was collected through a crawling process from Twitter, followed by a preprocessing stage to remove noise. The research results show that public sentiment towards information about criminals on Twitter is divided into three categories: positive, neutral and negative. After classification, it was found that neutral sentiment increased significantly to 63.4%, while positive and negative sentiment decreased to 10.5% and 26.1%. These findings indicate that people tend to be more careful in reacting to sensitive information. This research provides important insights for related parties in managing information about criminals on social media and can be a reference for developing further policies and strategies.

The advancement of information technology and globalization has transformed shopping behaviors, with social media becoming the primary platform for online shopping. This study aims to analyze the online shopping preferences of residents in Binjai City through social media using clustering methods, specifically the K-Means algorithm. Data were collected via a questionnaire targeting 523 respondents in Binjai City, focusing on variables such as gender, age, and the social media platforms used. Clustering methods are employed to group online shopping data into representative clusters, helping identify community preferences for specific social media platforms for shopping. Matlab is used to process the data and generate relevant insights into online shopping patterns, facilitating decision-making regarding the selection of the most suitable social media platform for transactions.The findings of this study are expected to provide valuable insights for both sellers and buyers in determining the most effective social media platforms for online shopping. Additionally, the results will be useful for residents of Binjai City to understand and choose the social media platforms that best meet their online shopping needs.
 
 
 

In the current era of technological advancement, deep learning has become a widely discussed and utilized topic, particularly in image classification, object detection, and natural language processing. A significant development in deep learning is the Convolutional Neural Network (CNN), which is enhanced with various optimizations such as Adam, RMSProp, and SGD. This thesis implements the Inception v3 architecture for the deep learning model, utilizing these three optimization methods to classify malaria disease. The study aims to evaluate performance and determine the best optimization based on classification accuracy. The results indicate that the SGD optimization with a learning rate of 0.001 achieved an accuracy of 94%, RMSProp with learning rates of 0.001 and 0.0001 achieved an accuracy of 96%, and Adam with learning rates of 0.001 and 0.0001 achieved an accuracy of 95%.

The management of data collection of research activities, community service, and publications that occur at the National University of Karangturi Semarang is still done manually using Microsoft Excel, which still has various problems related to collecting, storing, searching, processing, and presenting data when needed for the accreditation process. Based on these problems, an information system is needed that can accommodate all the problems experienced by users. Therefore, an information system will be developed to manage all data related to research activities, community service, and publications carried out by lecturers and improve the efficiency of data management. System design is one of the stages of developing an information system. Simlitabmas design has two main objectives, namely to fulfill the needs of users and to provide a clear picture to all personnel involved in system development. System design is one of the important steps in a system development in which a visual representation of a series of processes or activities in an institution or organization is made. One of the modeling or design tools that can be used is the Unified Modeling Language (UML). UML helps describe and design systems, especially in object-oriented programming. In this research, UML diagrams made consist of use case diagrams, activity diagrams, and sequence diagrams.

The policy of shutting down TikTok Shop has sparked both pros and cons. On one side, it eliminates jobs for content creators whose income relies on TikTok Shop, while on the other side, it saves UMKM  from predatory pricing wars that harm them. Utilizing the Naive Bayes algorithm, a classification method capable of predicting the likelihood of a class and making decisions based on learning data, the Emotion Recognition research on YouTube comments related to the closure of TikTok Shop is conducted. Data will be classified into five classes: happy, angry, sad, afraid, and surprised. The objective of this research is to find the best emotional model using the Naive Bayes method. The results of user testing with Naive Bayes and Tf-Idf show that the precision values for sad, happy, afraid, and surprised emotions are high, while for anger, the percentage is 59%. The percentages for afraid, happy, sad, and surprised emotions are 91%, 87%, 84%, and 79%, respectively. The overall accuracy is 82%.