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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 220 Documents
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Enhancing Sales Strategies In Prime Market Retail Business Using Tuned Gradient Boosting Nurdiyansyah, Dudi; Oetama, Raymond Sunardi; Prasetiawan, Iwan
ULTIMA InfoSys Vol 15 No 1 (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.v15i1.3595

Abstract

In the retail sector, comprehending customer behavior and employing effective customer segmentation is pivotal for refining marketing strategies and augmenting profits. This study delves into predictive modeling for customer segmentation at Prime Market, a prominent retail entity. The research initially yields a classification error rate of 25.10% by employing Gradient Boosting for customer classification. However, through meticulous parameter tuning, this rate dramatically improves to 8.6%, achieving an impressive accuracy of 91.4%. This refined model furnishes invaluable insights into Prime Market's customer segments, enabling the customization of marketing tactics and strategic business approaches. Armed with these insights, Prime Market can make data-driven decisions to enhance customer segmentation accuracy, better comprehend customer preferences, and pinpoint potential avenues for revenue growth. Leveraging advanced data analytics and predictive modeling empowers Prime Market to maintain a competitive edge and deliver its clientele a personalized, gratifying shopping experience.
Exploring Masterweb's Effectiveness in Optimizing Digital Based Learning and Education Management Tjiptady, Bella Cornelia; Rohman, Mojibur; Rahman, Rifki Zainur; Elmunsyah, Hakkun; Tarecha, Rachmad Imam
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.v15i2.3596

Abstract

Masterweb is a concept where multiple web services are integrated into a centralized platform, offering seamless access and management of various online tools and resources. Research discusses the effectiveness of masterweb in optimizing digital-based learning and education management. Research method uses a mix method approach with an exploratory design. Paper also highlights the importance of transforming learning media in the digital era and how digitalization can improve the quality of vocational education. Research results show that the application of Masterweb allows the adoption of blended learning methods that combine conventional approaches with digital elements. Collaboration with expert companies in developing e-learning and multimedia systems also ensures the availability of ICT infrastructure that supports the smooth learning process. With Masterweb, teachers and school management can be more effective in recording teaching and learning activities, monitoring student attendance, and increasing the effectiveness of monitoring and developing student skills. This research provides important insights into the importance of technology integration in education to increase efficiency, effectiveness, management and the attractiveness of learning in the digital era
Sentiment Analysis of Indonesian Presidential Candidate Before and After the Election Sofyan, Muhammad Hilmy Rasyad; Zulkifli, Akmal; Rasim, Rasim
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.v15i2.3689

Abstract

As one of the world's democratic countries, Indonesia has just held a general election to choose its next president. The development of the times encourages presidential candidates to make a new breakthrough, such as the use of social media as campaign media. Currently, X is a popular social media used as a campaign medium. On X, users are given the freedom to share their opinions. Various opinions related to one of the presidential candidates were used by the researchers to collect data using the data crawling method. The results of the data crawling are first processed with different methods in the pre-process to make the data ready for use. Some of the steps that need to be taken in the pre-process are such as cleaning, normalisation, stopword, tokenisation, stemming and translation processes. All the processes carried out in the pre-process stage will produce mature or usable data. The mature data is then classified into positive, negative and neutral using the Naí¯ve Bayes classification method. Once the classification is complete, the results are evaluated in terms of sentiment towards one of the presidential candidates. The results of a total of 2117 data collected from 01 February 2024 to 20 May 2024, there are 390 data used for the pre-presidential election sentiment analysis and 1618 data used for the post-presidential election sentiment analysis. Both before and after the presidential election was held, this presidential candidate had more positive sentiments than the negative and neutral sentiments he received from the public.
Development of an Expert System for Diagnosis of Pests and Diseases in Soybean Plants Using the Forward Chaining Method: Case Study: Badan Standarisasi Instrumen Pertanian (BSIP) Aneka Kacang Kendalpayak Malang Alfadani, Fikri; Choirina, Priska; Jannah, Urnika Mudhifatul
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.v15i2.3743

Abstract

This research focuses on developing an expert system to detect pests and diseases affecting soybean plants (Glycine max), which often reduce yield. The system employs forward chaining with the best-first search decision-making algorithm, which was developed using the waterfall methodology. Data utilized includes comprehensive information on symptoms, types of pests, diseases, and their respective management solutions gathered through case studies and expert interviews. Users of the system can input observed symptoms in soybean plants, and the system provides diagnoses and treatment recommendations based on established knowledge rules. Feasibility testing of the system was conducted using the TAM approach to assess technology acceptance among users and BlackBox Testing to ensure system reliability from a technical perspective. Test results indicate that the expert system is viable, achieving a feasibility rate of 83.7% based on TAM criteria and 100% across eight modules using BlackBox Testing, demonstrating significant potential in effectively supporting the diagnosis and management of pests and diseases in soybean plants.
Development E-Catalogue Portfolio Design Architecture with Android Mobile Apps using Kodular Framework yahfizham, Yahfizham; Sinaga, Imam Adlin
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.v15i2.3747

Abstract

The Bisma Kasada (Commanditaire Vennootschap/CV) is a company that provides technical consulting services to communities and governments. The Bisma Kasada covers various aspects of the field of work with minimal qualifications, including the process of promoting consultant services aspecially in the field of architecture. The Bisma Kasada continues to operate conventionally, with architects creating design portfolios of 2-dimensional and 3-dimensional architectural drawings of buildings or spatial layouts. Then, architects promote or market the portfolio to the public through printed brochures and social media. Using this method still presents several challenges, including the time, costs, and energy required for promotional activities, the challenge of updating product data, and the limited scope of promotion and marketing in the surrounding environment. The goal of this research is to develop an Android mobile-based E-Catalogue application, which can serve as a promotional and marketing tool for architectural design of the portfolios. The application, designed by the Bisma Kasada, incorporates a feature for cost estimation and calculation. In building the application, the author used the waterfall method, which consists of analysis stages, design stages, coding stages, and testing stages. We build the application based on android platform using the Kodular framework and Airtable database to strongly interfaced but simplify in the system.
Quality Analysis of Scheduling System Using COBIT 2019 at Ministry of Religious Affairs Pasuruan Aulia, Latifa Riska; Amrozi, Yusuf; Milad, M. Khusnu; Permadi, Andhy
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.v15i2.3800

Abstract

This study aims to measure the quality scheduling information system (SIP KEMENAG) of Ministry of Religious Affairs (MORA) in Pasuruan Regency. In this study, the author used a combination or mixed methods research with a sequential explanatory model. The combination research method with a sequential explanatory model is characterized by the collection and analysis of quantitative data in the initial stage, followed by qualitative data explanation in the next stage. The website quality analysis process using COBIT 2019 produced an average maturity score: BAI3 (4.14), BAI4 (4.34), and DSS5 (4.32). After averaging, the SIP KEMENAG application is at level 4 (quantitatively managed) in the capability maturity model integration. This shows that the application has adopted an approach based on data and numbers to plan, measure, and control the performance of the application process. The desired value is level 5 (optimizing), with a gap of 0.73. After the quantitative data is found, in-depth information mining or interviews will be carried out using qualitative methods.
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.

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