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Jurnal ULTIMA InfoSys
Published by Universitas Multimedia Nusantara
ISSN : 20854579     EISSN : 25811851     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal ULTIMA InfoSys merupakan Jurnal Program Studi Sistem Informasi Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Informasi, serta isu-isu teoritis dan praktis yang terkini, mencakup sistem basis data, sistem informasi manajemen, analisis dan pengembangan sistem, manajemen proyek sistem informasi, programming, mobile information system, dan topik lainnya terkait Sistem Informasi. Jurnal ULTIMA InfoSys terbit secara berkala dua kali dalam setahun (Juni dan Desember) dan dikelola oleh Program Studi Sistem Informasi Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 227 Documents
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Systematic Literature Review of Knowledge Management in Students Based on Education Level in Indonesia Amelia, Dina Nur; Amrozi, Yusuf; Milad, M Khusnu
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3836

Abstract

Knowledge Management (KM) is a rapidly developing concept across various disciplines and business practices. KM encompasses the collection, storage, dissemination, and utilization of knowledge to enhance learning effectiveness. This study aims to examine the implementation of knowledge management in education across different educational levels using the Systematic Literature Review (SLR) method to analyze a number of related articles. The research findings indicate that the implementation of KM is significantly more prevalent in secondary (approximately 65%) and tertiary education levels (around 70%) compared to basic education (about 30%). Key factors influencing the success of KM implementation include the availability of infrastructure, student participation, support from teachers and staff, and a learning culture that fosters collaboration.
Web-Based ERP System Prototype for Enhanced Inventory and Supply Chain Management in the Logistics Industry Hadikin, Valdy Beniah; Wiratama, Jansen
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3839

Abstract

Technological advancements have driven companies to adopt innovative solutions to improve efficiency and streamline operations. PT Kesuma Express, a logistics company in Indonesia, faced inefficiencies and frequent errors due to its reliance on manual processes such as transaction recording, document management, and income reporting. This research developed a web-based Enterprise Resource Planning (ERP) system prototype to address these challenges, focusing on Inventory and Supply Chain Management (SCM) modules. The prototype uses the Rapid Application Development (RAD) model and the Laravel framework and includes key features such as transaction recording, customer data management, and financial reporting. The inventory module enhances truck data management, monitors truck availability, and alerts users about data discrepancies, ensuring accuracy and timely actions. The SCM module supports the delivery process by providing real-time delivery status tracking that is accessible to both warehouse staff and administrators, enabling transparency and efficiency in goods distribution. The system replaced PT Kesuma Express manual processes, significantly improving operational efficiency and reducing errors. By integrating inventory and SCM capabilities, the ERP system has streamlined operations, enhanced data accuracy, and improved customer service quality. This research demonstrates the transformative potential of ERP systems for logistics companies aiming to modernize their operations.
CodeGuardians: A Gamified Learning for Enhancing Secure Coding Practices with AI-Driven Feedback Hadiprakoso, Raden Budiarto; Sihombing, Rudolf Paris Parlindungan
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3858

Abstract

This paper introduces CodeGuardians, a gamified platform designed to improve secure coding practices using AI-driven, real-time feedback. The platform focuses on key secure coding concepts, such as input validation, authentication, session management, and cryptography. Developed using the ADDIE (Analyze, Design, Develop, Implement, and Evaluate) instructional model, CodeGuardians enhances engagement and knowledge retention by incorporating interactive challenges. The AI component, powered by OpenAI, provides adaptive feedback on user-submitted code, helping users to learn secure coding practices more effectively. To assess its impact, a one-group pretest-posttest design was conducted. The results of a paired sample t-test showed a significant improvement in secure coding knowledge (t = 19.50, p = 0.048), confirming the platform’s effectiveness. In addition, the system’s usability was rated highly, with a score of 0.93 on the Computer System Usability Questionnaire (CSUQ), classifying it as "Very Good." The practical implications of this research suggest that CodeGuardians could be implemented in both educational and professional settings to enhance secure coding skills and reduce software vulnerabilities. From a theoretical standpoint, this study advances cybersecurity education by integrating AI-driven feedback into gamified learning environments. The research supports the theory that gamification improves engagement and learning retention, while also highlighting the value of adaptive technologies in addressing real-world security challenges. Future work will examine the long-term retention of knowledge and scalability across diverse learning environments.
Goal Directed Design Method on UI/UX Design Mobile-Based Application for Preventing Waste Dumping Aliyah, Raden Ayu Alfirah; Indah, Dwi Rosa; Firdaus, Masagus Afriyan
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3864

Abstract

The issue of waste dumping persists a significant challenge in Indonesia, particularly in the context of South Sumatra Province. In 2022, the quantity of unmanaged waste in South Sumatra Province was documented at 521,075 tons per year. In the course of 2024, South Sumatra was subjected to a total of 58 floods. This illustrates that flooding remains a significant challenge that necessitates the development of innovative solutions, as it can impede the attainment of the Sustainable Development Goals (SDGs), particularly those pertaining to SDG 11, namely the maintenance of sustainable cities and communities. The act of discarding refuse into air ducts represents a significant contributing factor to the occurrence of flood disasters. Accordingly, this research was undertaken with the objective of designing an interface for the Jagoan Sungai application, which is intended to prevent waste dumping. The application was designed with the specific purpose of facilitating the reporting of instances of littering in river environments by individual communities. The application was designed using the Goal Directed Design method and subsequently evaluated using the User Experience Questionnaire (UEQ) method and the Think Aloud method. The UEQ test results indicate that the scores for the six scales exceed 0.8, indicating a high level of user satisfaction. The Think Aloud test results demonstrate that while no significant improvements are necessary, additional information should be incorporated into the application to enhance the user experience further.
Implementation of Convolutional Neural Network Algorithm for Apple Leaf Disease Classification Widjaya, Ageng Cahyo; Wijaya, Kimi Axel; Soegono, Joaquin Noah; Varrel, Primus Kartika; Johan, Monika Evelin
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.3842

Abstract

Apple leaf diseases can cause significant economic losses to apple farmers. Early detection and treatment of apple leaf diseases are essential to minimize crop losses. However, traditional methods for detecting apple leaf diseases, such as manual visual inspection by experts, can be time-consuming and laborious. Therefore, this study aims to develop a robust and efficient method for detecting diseases in apple tree leaves using Convolutional Neural Networks (CNNs). By using deep learning, the disease detection process becomes automated, saving time and resources. The CRISP-DM methodology was used in conducting this study. The results of the CNN model's performance in predicting disease types have a high level of accuracy and can be used as a model for detecting disease types in apple plant leaves.
Improving the Mie GACOAN Online Food Ordering Application Using the System Usability Scale (SUS) Sarungu, Cornelius Mellino; Hatrinidinar Rasya, Raihannissa; Devina Tiara Maharani, Denta; Alfianto, Royan
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.4132

Abstract

Improvement of the online food ordering application through the System Usability Scale (SUS) method to enhance user satisfaction and streamline the ordering process. Driven by the rapid expansion of online food ordering in Indonesia, this study aims to address long queues and improve customer convenience through optimized digital solutions. Current challenges include delayed ordering processes and limitations in existing application features, such as navigation issues, unclear language, and limited ordering options for dine-in, takeaway, and delivery. The research employs a mixed-methods approach, combining survey and interview data with competitive analysis, to identify critical areas for enhancement. Design improvements focus on user interface (UI) and user experience (UX) to simplify navigation, optimize payment processes, and make language more user-friendly. Initial usability tests resulted in a SUS score of 48, categorizing the application as "poor." After iterative improvements based on Agile Development, the score rose to 70, indicating an "acceptable" level of usability. This research highlights the importance of continuous UI/UX refinement to meet consumer expectations, with recommendations for ongoing updates and professional design involvement to maintain and enhance app performance. Findings suggest that improving usability and functionality can significantly elevate customer satisfaction, positioning online food ordering competitively within the digital food service sector.
Examining the Role of Social Media in Shaping Undergraduate Students' Study Preferences Halim, Fransiscus Ati; Nandini, Gusti Ketut Siska Sri; Lumbantoruan, Nova Indah
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.4136

Abstract

Abstract – Social media has become an essential aspect of daily life, particularly for students who rely on these platforms to access information related to their educational assignments and course materials. Driven by this trend, the author conducted a study using a quantitative approach and survey research to explore how students' interest in learning is influenced by their use of social media. The study focused on students from the UMN Information Systems Study Program, Class of 2022, examining two main variables: the independent variable, social media use, and the dependent variable, students' interest in learning. Various statistical tests were applied to analyze the relationship between these variables, including normality, residual, and correlation analyses. The results indicated heteroscedasticity in the residuals of the social media and interest variables; however, no autocorrelation was observed between the residuals of variables such as social media and interest, interest and time, and interest and productivity. Keywords - Interest in Learning, social media, educational assignment, Normality Analysis
Project Management and Cost Optimization in QR Code-Based Parking Reservation System Development: A PERT, Monte Carlo and PMBOK Approach Yostian Ari Sujarwo; Samidi
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.4170

Abstract

This paper explores the project management practices and cost optimization outcomes associated with the development of an in-house parking reservation system utilizing QR code technology. The main objective of this project was to implement structured project management methodologies to ensure successful system delivery while minimizing project losses. The approach involved detailed planning, execution, monitoring, and closure activities aligned with the PMBOK framework. To enhance cost efficiency, PERT Cost Analysis was applied to refine the cost estimates, while Monte Carlo Simulation was used to analyze cost uncertainty and variability. These methods enabled the team to reduce the projected human resource cost from IDR 748 million to IDR 403 million, demonstrating significant cost savings. Furthermore, robust risk management strategies supported effective decision-making and stakeholder alignment throughout the project. This study provides practical insights into integrating quantitative analysis into project cost control and offers guidance for managing similar technology implementation projects in the future.
Effect of Data Quality and Task Technology Fit on SIHA Performance in West Papua Province Wake, Tresia; I. Inan, Dedi; Juita, Ratna; Indra, Muhamad
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.4207

Abstract

Human Immunodeficiency Virus (HIV) infection remains a global health challenge, including in Indonesia. Effective monitoring is crucial to controlling the spread of this disease, especially in regions like West Papua, which face geographical challenges. Although the HIV/AIDS Information System (SIHA) has been in use since 2012, data quality limitations still affect monitoring effectiveness. Research on the impact of data quality on monitoring performance using the Task Technology Fit (TTF) approach in West Papua remains limited. This study aims to analyze the influence of data quality in SIHA on the effectiveness of HIV/AIDS monitoring through the TTF model. A quantitative method was employed through a survey of 103 SIHA users. Data were analyzed using SEM-PLS to examine the relationships between variables. The results indicate that data quality significantly affects task-technology fit (TTF) and monitoring performance, whereas task, technology, and individual characteristics do not have a significant impact. These findings highlight the importance of improving data quality through validation and user training to support more effective HIV/AIDS monitoring in West Papua.
Use of the K-Medoids Algorithm for Food Clustering Using Nutritional Value and Evaluation of the Elbow Method and the Davies Bouldin Index Method Wildani Eko Nugroho; Dwi Kurniawan, Safar; Febrian Sabanise, Yerry; Prayoga, Prayoga
ULTIMA InfoSys Vol 16 No 1 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i1.4226

Abstract

The six categories of necessary nutrients water, minerals, vitamins, carbs, proteins, and fats must be present in the food that people eat on a daily basis. Humans require nutrition since it will enable them to do everyday duties and maintain their health. The pupose of this study is to classify foods with comparable nutritional values. Foods with high, medium, and low nutritional levels are grouped into three clusters. This study applies the K-Medoids algorithm optimization to the clustering approach. The study’s clustering results can be utilized to choose and consume foods that will meet nutritional needs and help delay the onset of food related disorders. For instance, if you wish to gain weight, you can choose foods in cluster 0. Cluster 2 foods can be picked if you wish to diet or lose weight, while Cluster 1 meals can serve as a benchmark if taken in excess, as this can lead to obesity.

Page 20 of 23 | Total Record : 227

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