JUSTINFO | Jurnal Sistem Informasi dan Teknologi Informasi

Prototype of Sales Information System Based on Educational Book Consultan Data and Senior Educational Book Consultant

Sri Kuswayati, Muchamad Rusdan — Wed, 19 Jun 2024 00:00:00 +0700

The purpose of this study is to provide a solution to the problem of the risk of loss of sales data and EBC personal data and the possibility of data duplication that results in incompatible data points for each EBC, faster data retrieval than before the manual becomes computerized, simplifies data processing and means for leaders to get real-time sales information. The study was conducted with a qualitative approach that emphasizes a deep understanding of a particular problem. This study chooses the type of research design with primary and secondary data. Primary data sources were obtained from observations on KudeStation. Secondary data sources were obtained from literature studies related to the research conducted. The system development method used is the prototype method. The results showed that the problem of the risk of losing sales data and EBC personal data can be solved by using data stored in the database. With the application information system, data search becomes faster than before (manual) compared to after computerized with the data search feature. They are simplifying data processing by creating a sales information system. Provide a means for leaders to get real-time sales information by selecting a web-based sales information system so that after hosting this sales information system, all data can be accessed from anywhere in real-time.

Strategy of Implementing Green Networking in Computer Networks at Bandung Technology University

Muchamad Rusdan — Wed, 19 Jun 2024 00:00:00 +0700

This research aims to identify and analyze strategies for implementing green networking on BTU computer networks. The research methods used include literature studies, surveys, and interviews with various stakeholders at BTU, as well as analysis of energy usage data from existing computer network infrastructure. This study investigates various technical and operational aspects of implementing green networking, including appropriate technology, implementation strategies, and challenges faced. The research results show that implementing green networking at BTU can reduce energy consumption and operational costs, as well as support the global commitment to reduce greenhouse gas emissions. However, the main challenges faced include initial investment costs, the need for increased technical skills, and resistance to change. Based on the research findings, it provides practical recommendations for BTU to implement green networking effectively, including increasing awareness and education about green networking, investing in environmentally friendly technology, and developing policies and procedures that support sustainability. We anticipate that this research will significantly contribute to environmental preservation, enhance BTU operational efficiency, and serve as a model for other educational institutions to adopt sustainable technological practices.

Analysis and Design of a Web-Based Counseling Guidance Management Information System at ABC High School

Diah Ayu, Yahfizham Yahfizham — Thu, 20 Jun 2024 00:00:00 +0700

Counseling is a professional support process aimed at helping individuals or groups overcome various personal, emotional, social, or psychological problems. This process involves trained counselors who utilize specialized techniques to provide guidance, support, and advice, facilitating better coping mechanisms and overall well-being. Given the critical role of counseling in fostering mental health and personal development, it is essential to continually improve and enhance counseling services for students. By doing so, counselors can ensure they are providing the most effective and comprehensive support possible. At present, SMA ABC relies on traditional methods such as Microsoft Word and Microsoft Excel to record and store data related to counseling and guidance. While functional, these tools are not optimized for the dynamic and multifaceted nature of counseling work. This traditional approach can be time-consuming and prone to errors, hindering the efficiency and effectiveness of the counseling services provided to students. To address these challenges, a web-based management information system is needed. Such a system would streamline the process of recording, storing, and retrieving information, enabling counselors to complete their tasks more quickly, accurately, and on time. A well-designed web-based system would also facilitate better data analysis and reporting. The development of this system will use the waterfall method, a systematic and sequential approach to software development. This method ensures that all data and information related to the counseling procedures and the system's technical implementation are thoroughly processed and accurately integrated, resulting in a reliable and efficient management tool.

Identification of Skin Color Images in Humans Using Principal Component Analysis Method

Aurelia Fermina Kambri, Mardiani Bana, Yampi R. Kaesmetan — Thu, 20 Jun 2024 00:00:00 +0700

Skin detection is an important process for classifying human skin color. Some phone cameras produce images in RGB (Red, Green, Blue) format. Various cases of skin detection often perform a transformation from the RGB color space to another color space, such as YCbCr or HSV, to improve detection accuracy. In this journal, we conduct research on skin detection using Teachable Machine, a platform that utilizes machine learning to teach computers to recognize visual patterns. The term "accuracy per epoch" refers to how well the model is at telling which pixels in an image are skin color during each training iteration (epoch) when skin color identification using the Principal Component Analysis (PCA) method on a teachable machine is being done. PCA helps reduce the dimensionality of data, enabling more efficient analysis and increased model accuracy. Teachable Machine makes this process simple by providing a user-friendly interface for training models without requiring in-depth knowledge of code or algorithms. Measuring accuracy per epoch is crucial in the training process because it shows the development of the model's ability to detect human skin over time. We expect the model to improve its accuracy in identifying skin-color pixels with each epoch, thereby enhancing the overall performance of the skin detection system. This research shows the great potential of the teachable machine in skin detection applications, providing a more efficient and accurate solution than traditional methods.

Designing of Project Management Information System for Web-Based OSIS Saturday Clean-Up Attendance Data

Tasya Syalsabilla, Yahfizham Yahfizham — Mon, 24 Jun 2024 00:00:00 +0700

The rapid progression of technology in today's globalized era has created a heightened demand for efficiency and effectiveness in various aspects of life. This demand is particularly evident in the management of student activities, such as the OSIS clean-up events held on Saturdays. These events, while important for fostering a sense of community and responsibility among students, often face challenges due to manual and non-systematic data management processes. We developed a project management information system to manage attendance and data related to Clean Saturday activities, addressing these challenges. This system utilizes the waterfall method, a structured approach that allows for quickly identifying and resolving issues that may arise during the management process. By implementing this system, Clean Saturday activity management becomes more streamlined and efficient, resulting in improved overall effectiveness. The outcomes of this research are twofold. Firstly, it simplifies the data processing involved in managing attendance at Clean Saturday events, making it easier for OSIS personnel to track and analyze participation. Secondly, it enhances the overall efficiency of the OSIS clean-up program, allowing for better resource allocation and improved outcomes for both students and the community at large.

Design of a Website-Based Project Management Information System at Warung Nasi Kak Jum Saridah

Maulidya Putri Kinanti Ritonga, Yahfizham Yahfizham — Mon, 24 Jun 2024 00:00:00 +0700

Concept, testing, and service are the main priorities in the Warung Nasi Kak Jum Saridah business. Considering the use of paper media in order recording, table monitoring, and product data systems, problems often arise such as data duplication, misplaced documents, and errors in orders. Therefore, to overcome this problem, Warung Nasi Kak Jum Saridah needs a cashier management information system. This system will help business owners manage product data, monitor the dining table, and manage transactions more efficiently. Prototype analysis using the waterfall method in developing the cashier management information system at Warung Nasi Kak Jum Saridah. The hope is that this system will facilitate the overall cashier supervision and management process, increase efficiency in daily operations, and reduce errors that often occur in recording and monitoring data. Thus, the implementation of the cashier management information system will have a positive impact on the productivity and quality of Warung Nasi Kak Jum Saridah services to customers.

Influence of Market Segmentation on Fashion Products on Profitability Levels with Marketing Strategies Through Social Media and E-Commerce

Mon, 24 Jun 2024 00:00:00 +0700

This research shows that market segmentation and marketing strategies through social media and e-commerce can increase the profitability of fashion products. According to BPS data for 2023, there is a significant increase in the purchase of fashion products in Indonesia. Based on the literature, this research discusses the concepts of market segmentation and marketing strategy. The approach through social media and e-commerce is one of the most effective ways to reach a wider target market and increase profitability. The results show a strong relationship between market segmentation, digital marketing strategy, and the profitability of fashion products. With fierce competition, changing trends, and expanding market reach, implementing these strategies is critical to the success of fashion companies in increasing sales and profitability. Players in the fashion industry anticipate this research to offer valuable insights for enhancing their marketing strategies.

Identification of Distorted Fingerprints Using Wavelet Method and Convolutional Neural Network (CNN)

Marwondo, Sardjono, Ruslan Efendi — Tue, 25 Jun 2024 00:00:00 +0700

Biometrics offers a valuable tool for disaster victim identification, particularly through fingerprints. However, distorted or damaged fingerprints pose a significant challenge for recognition. This study explores the potential of Wavelet and Convolutional Neural Network (CNN) techniques to enhance the accuracy of distorted fingerprint recognition. Wavelet transform addresses the non-stationary nature of images and reduces detected noise. Convolutional Autoencoder, a CNN component, generates simplified feature representations from input images and attempts to reconstruct them. Utilizing 500 fingerprint samples, the testing results demonstrate accuracy variations ranging from 11% to 59.2%. Image reconstruction achieved 7.16% to 12.47% accuracy, while fingerprint matching attained accuracies between 92.71% and 93.96%. Averaging across all damage levels, the overall accuracy reached 37.65%, with average fingerprint reconstruction at 9.31% and average matching accuracy at 93.03%. The successful reconstruction and matching of distorted fingerprints within a certain range of damage using Wavelet and Convolutional Neural Network highlights the promising potential of these techniques for improved fingerprint identification in forensic and security contexts.

Strategies for Enhancing Information System and Internet Security Towards Adware Threats

Shelvia Nur Widiastuti, Anisa Indriani, Ucu Nugraha — Thu, 27 Jun 2024 00:00:00 +0700

Adware has emerged as a significant concern in today's information systems and internet security landscape. This malicious software type illicitly injects unwanted advertisements into user devices, disrupting user experience and posing threats to privacy and data security. Effective strategies are essential to mitigate adware threats and enhance information systems and internet security.This article explores several strategies to combat adware threats. Firstly, adopting a preventive approach is crucial. Utilizing reliable and regularly updated security software, alongside frequent updates of operating systems and applications, can effectively prevent adware infections. Secondly, avoiding clicking on suspicious links and pop-ups can minimize the risk of adware infiltration. Thirdly, regular clearing of cookies and caches aids in purging adware from user devices. Lastly, employing ad blockers serves as an additional measure to thwart adware presence on user devices. By implementing these strategies, organizations, and individuals can significantly reduce their vulnerability to adware attacks, thereby safeguarding both user experience and data integrity in the evolving landscape of information technology and internet usage.

Payment and Transaction Risk Management at Coffeeshop X Using NIST 800-30 Framework

Thu, 27 Jun 2024 00:00:00 +0700

Information technology enables efficient and effective completion of activities, saving both time and energy. However, this convenience comes with inherent risks that need to be managed to prevent severe consequences such as information leaks, financial losses, and disruptions to business processes. This research focuses on implementing the NIST 800-30 framework as a risk management framework for Coffeeshop X. The objective is to provide concrete steps and recommendations for mitigating potential risks. The analysis identifies several risks that could threaten the business continuity of Coffeeshop X, including natural disasters, operating system vulnerabilities, physical security breaches, and damage to software and hardware. By applying the NIST 800-30 framework, the research highlights specific control measures necessary for Coffeeshop X to mitigate these risks. These measures aim to reduce the likelihood and impact of such events, ensuring that business activities can proceed smoothly and securely. The study's findings underscore the importance of a robust risk management strategy to safeguard the operations of Coffeeshop X and maintain its business continuity.