DATA QUALITY ASSESSMENT: A CASE STUDY ON ASSET VALUATION COMPARISON DATA

To realize a data-driven organization, good data quality is needed as a foundation for solving various problems related to data management. The case study used in this research is asset valuation comparison data. The purpose of this research is to define dimensions, measure and analyze data quality on asset valuation comparison data. There are three dimensions used in measuring data quality in this study which are adjusted based on existing regulations at Ministry X, namely accuracy, completeness, and validity. This research uses the stages in the Total Data Quality Management (TDQM) framework to measure data quality. The results of measuring all dimensions, 29 out of 58 business rules cannot be fulfilled completely. The business rules that can be fulfilled in each dimension are 47.06% in the completeness dimension, 60% in the validity dimension, and 44.44% in the accuracy dimension. The main factor causing the existence of data attributes that have not met the data quality business rules is because the asset valuation comparison data comes from various data sources. In addition, there are methods or standards for recording data from data source units that are not uniform, so an evaluation of the uniformity of data standardization and the implementation of data governance is needed. The results of this study can be used as material for organizational consideration to be more aware of the current state of data quality. In addition, it can be used by organizations to design strategies and steps to improve data quality so that it can support leaders in making the right decisions

INTEGRATION OF BLOCKCHAIN TECHNOLOGY IN DIGITAL LIBRARIES: A SOFTWARE ENGINEERING DESIGN

This research aims to design software engineering that integrates blockchain technology in digital libraries to improve system security and reliability. This integration is expected to overcome challenges related to data security, service reliability, and efficiency in digital library management. The research methodology involves collecting data through literature, expert interviews, and observations, on the implementation of blockchain technology in digital libraries, then analyzing data to support data design such as etherum, smart contracts, address, node.js, solidity, metamask, and sublime text, then using the Agile Extreme Programming (XP) method for software development. The research results include the design of a decentralized blockchain architecture, the use of smart contracts, and the application of cryptographic techniques to enhance security. Immutability testing in the context of blockchain involves verifying data consistency, validating the process of adding data, testing the ability to delete data, testing against attacks, and activities on immutable data. These tests were conducted using the Truffle framework. The results show that the system is able to maintain data integrity well

PODCAST ROOM RESERVATION APPLICATION USING EXTREME PROGRAMMING METHOD

In the era of globalization, information technology has become crucial in enhancing the productivity of information processing across various industries. Data management ensures smooth operations and informed decision-making. Podcasts have emerged as significant mediums for information consumption and entertainment, with an increasing number of listeners seeking high-quality content. Producing quality podcasts requires adequate facilities such as advanced recording equipment and acoustically suitable studio spaces. Development methodologies like Extreme Programming emphasize improving functionality and technical implementation. Reservations for podcast studios play a crucial role in scheduling recordings, with online booking systems enabling easy and efficient reservations, albeit requiring intensive individualized services. The capability of reservation systems to provide quick, accurate, and precise information can influence customer experiences and purchasing decisions. The integration of information technology and online reservations is key to optimizing podcast production and distribution, enhancing operational efficiency for service providers, while providing a satisfying experience for listeners. Although the system has yet to be fully implemented, it is designed to streamline booking processes and reduce manual intervention, which is anticipated to lead to significant improvements in both operational efficiency and customer satisfaction

ENHANCING MOBILE CRYPTOCURRENCY WALLETS: A COMPREHENSIVE ANALYSIS OF USER EXPERIENCE, SECURITY, AND FEATURE DEVELOPMENT

The surge in cryptocurrency usage has increased reliance on cryptocurrency wallet applications. However, the usability, security, and feature richness of crypto wallets require significant enhancements. This research aims to identify critical factors that should guide the future design of mobile cryptocurrency wallets. The first step was to collect user reviews on several popular crypto wallets as the dataset. A total of 5,466 mobile wallet-related reviews from mobile application stores were filtered and analyzed. A machine-learning approach was used to cluster the user reviews. The analysis shows that customer issues are divided into four main themes: domain-specific challenges, security and privacy concerns, misconceptions, and trust issues. A software process assessment was also conducted to examine the current state of crypto wallets in terms of security, usability, and feature richness. Around 21 crypto wallet platforms were explored and assessed. Based on the thematic analysis and software process assessment, feature recommendations are proposed to address these shortcomings and enhance the credibility of mobile cryptocurrency wallets

PELATIHAN PEMBUATAN WEB COMPANY PROFILE UNIT KERJA KARANG TARUNA KELURAHAN TEGAL PARANG

Karang Taruna is an organization that exists in Indonesia. Because surely in every village there is this organization. Karang Taruna is a place for teenagers to develop themselves to be responsible and have a social spirit. Technological developments can now be enjoyed by everyone throughout the world. Looking for information, we just have to type in Google what we want, after that so many references appear so that we can read the latest information without fear of missing out on information and this is a very significant difference where in the past it was very difficult to get the latest information and You have to wait a while to get this information. Now a problem where people don't know about Karang Taruna Tegal Parang Village and the activities they carry out. The solution offered is training in creating a company profile website for Karang Taruna, Tegal Parang. The training is carried out using the Technical Assistance method in the form of Training. The results obtained from this training were that the youth organization administrators can understand how to create a company profile website and can host the website they created. So that it can produce the latest information to citizens

ABILITY CONVOLUTIONAL FEATURE EXTRACTION FOR CHILI LEAF DISEASE USING SUPPORT VECTOR MACHINE CLASSIFICATION

Chili plants are among the most commonly used food ingredients in various dishes in Indonesia. Leaves on chili plants are often affected by disease; if the disease is not treated immediately, it can damage the plant and cause crop failure. Early detection of chili plant diseases is important to reduce the risk of crop failure. The development of technology and the application of machine-learning algorithms can automatically monitor chili plants using a computer system. Using this algorithm, the system analyzes and identifies diseases that a camera can observe and record. In this study, the proposed method for feature extraction uses a convolutional neural network (CNN) algorithm with transfer learning using VGG19. For classification using SVM for training data, accuracy generated 95%, precision 95%, recall 95%, and F1-Score 95%, and testing data accuracy generated 90%, precision 89%, recall 90%, and F1-Score 89%, proving that the convolutional process with architecture VGG19 and SVM algorithm is acceptable for classification. In future research, other architectures or extraction fusions can be used to maximize the results

KAJIAN KEPUTUSAN PEMBELIAN KONSUMEN DI E-COMMERCE: STUDI PADA ERIGO STORE

The use of e-commerce in Indonesia has grown very rapidly and continues to increase. Erigo Store has become one of the leading e-commerce platforms in Indonesia. This study aims to analyze the factors influencing purchase decisions at Erigo Store. This research uses a qualitative method through interviews and observations. The research sample consists of 27 key respondents who are Erigo Store consumers. The results of this study indicate that Indonesian e-commerce consumers tend to look for quality products at affordable prices. Positive reviews from other consumers also become an important factor that can increase consumer trust and encourage them to make purchases. This research provides valuable insights for business owners and marketers in the e-commerce market. These findings affirm that companies need to understand the importance of maintaining a balance between price and product quality to enhance consumer appeal and trust

INTEGRATION OF TELEGRAM BOT AND UPTIME KUMA FOR WI-FI NETWORK MONITORING USING MIKROTIK

Wi-Fi network monitoring is a crucial aspect in ensuring the availability and security of widely used internet services. This research confirms the use of Telegram bots for notification integration with the Uptime-Kuma monitoring program and proxy devices for Wi-Fi network monitoring. The main router and network controller in this study were Mikrotik devices, while Uptime Kuma was used as a monitoring tool to track the performance and availability of the Wi-Fi network. When important events are discovered on the network, network administrators can receive quick notifications through integration with Telegram bots. In the context of Wi-Fi networks, the Security Policy Development Life Cycle (SPDLC) method is used to design relevant and effective security policies. It includes the stages of planning, implementation, monitoring, evaluation and regular updating of security policies to maintain optimal levels of security. The results  show that the integration of Telegram bots with the Kuma Uptime monitoring tool can improve network availability. This allows quick reaction to Uptime and Downtime reports in network conditions, which record the percentage of time network services are available. Thus, administrators do not need to wait for complaints from users if the connection is suddenly lost, because changes in connection status will automatically send a notification to Telegram

AUDIT SISTEM INFORMASI MANAJEMEN SEKOLAH MENGGUNAKAN FRAMEWORK COBIT 4.1

The School Management Information System (SIMS) has brought many benefits, even though it has been implemented, SMPIT Ajimutu Global Insani Bekasi faces several challenges and problems that require special attention, including limitations in IT Strategic Planning, Less Optimal IT Risk Management, Evaluation of Automation Solutions, Security Information Systems, IT Service Performance Measurement, IT Governance have not been fully implemented in their entirety. This article discusses the application of the COBIT 4.1 framework  in conducting SIMS audits at SMPIT Ajimutu Global Insani Bekasi. This research aims to assess the suitability of the information system with the school's strategic objectives, identify strengths and weaknesses in its management, and provide recommendations for improvement. The methodology used includes evaluation of the four main domains in COBIT 4.1: Planning and Organization (PO), Acquisition and Implementation (AI), Delivery and Support (DS), and Monitoring and Evaluation (ME). The audit results show that although SIMS has provided significant benefits, there are several areas that require improvement, such as IT strategic plan documentation, risk management, evaluation of automation solutions, information system security, IT service performance measurement, and IT governance. Based on these findings, recommendations for improvement are provided which include improving documentation and communication, developing formal processes for risk management, routine evaluation of automation solutions, improving security policies, establishing more comprehensive performance metrics, and strengthening IT governance

KNOWLEDGE MANAGEMENT SYSTEM PENGOLAHAN SAMPAH MENGGUNAKAN SOCIALIZATION, EXTERNALIZATION, COMBINATION, INTERNALIZATION MODEL

Garbage is an environmental problem that cannot be avoided, changes in human lifestyles cause an increase in the volume of waste, various ways are carried out to overcome the increase in the volume of waste, one of which is the Reduce, Reuse, Recycle (3R) technique which plays an important role in waste processing and can change waste. to be artistic and economical, to share knowledge about waste management requires a container that can accommodate and share knowledge. In this study, a Knowledge Management System (KMS) was developed using the Knowledge Management Life Cycle (KMSLC) method and capturing knowledge using the Sosialization Externalization Combination Internalization (SECI) model. The results of this study are web-based applications that can accommodate, add and share knowledge in the form of tacit and explicit and change the knowledge formed from the results of individual interactions into documented knowledge which is expected to help organizations manage all knowledge and develop it so that it can improve the abilities and knowledge of members organization for waste management