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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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Unlocking Sales Insight through Business Intelligence and ERP Aulia, Azka; Desanti, Ririn Ikana; Amri, Mahfudz
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4275

Abstract

In recent years, companies have experienced growing competition, financial inefficiencies, and operational instability, which have contributed to declining profitability. Digital transformation is found to increase operational efficiency while minimizing risk of insolvency. PT Dwi Family Investama, an offset and printing company, experiences similar problems from its manual record of orders and invoices, which causes decreased efficiency, errors, and complicated handling of customer information. Such inefficiencies slow down business strategy formulation and decision-making. This research designs a web-based Enterprise Resource Planning (ERP) system integrated with business intelligence dashboard to facilitate better decision-making. The system automates business processes and delivers real-time operational insights through an interactive dashboard. Performance assessments record an increase in operational efficiency by 52.3%, proving the system’s effectiveness in improving business operations and decision-making.
Extraction of Class Candidates from Scenario in Software Requirements Specifications Rasi Aziizah Andrahsmara; Siahaan, Daniel Oranova
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4325

Abstract

The development of software applications involves translating software requirement specifications (SRS) into structured models that guide system design. Among these, sequence diagrams are essential for visualizing dynamic interactions, but their manual construction from natural language descriptions is often error-prone and time-consuming. This study proposes an automated method for extracting sequence diagram elements namely classes, subclasses, and attributes from scenario sections of SRS documents. The approach leverages Natural Language Processing (NLP) techniques, combining Bidirectional Encoder Representations from Transformers (BERT) for contextual embeddings and Support Vector Machine (SVM) for classification. Noun phrases are identified and classified into UML-relevant entities using this hybrid model. To evaluate performance, two datasets SIData and SILo were used, each exhibiting distinct textual styles and domain characteristics. The system’s effectiveness was assessed using standard evaluation metrics such as precision, recall, and F1-score. Results indicate that the method is capable of capturing contextual relationships between extracted elements, although its performance varies across datasets, suggesting the need for further refinement. Overall, the study contributes toward automating early software design phases and reducing manual modeling effort.
Needle Stick Injury Report Application Design at XYZ Hospital in Tangerang Setiawan, Haditya; Suryasari
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4407

Abstract

Needle stick injuries are a common occurrence among healthcare workers. There are potential risks of HBV, HCV, and HIV infection transmission to healthcare workers caused by needle stick injury accidents. At XYZ Hospital, reporting is done manually through paper-based forms that must be filled out and submitted to other departments. To expedite the process, the forms are photographed and sent via WhatsApp. Manual reporting is still considered inefficient, so a website-based reporting application was created that can be accessed quickly and easily via mobile phones, tablets, and laptops. To ensure the project meets requirements, the application was created using a prototype methodology, so it can be completed according to user needs. By implementing a website-based reporting application, it can simplify reporting, tracing, and more neatly documenting by reducing physical/paper documents and switching to digital documents.
Analyzing Factors Influencing Flow Experience in Battle Royale Games: A Case Study of Free Fire MAX Fatih, Farrel Andhika; Saputra, Edi; Bintana, Rizqa Raaiqa
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4446

Abstract

The rapid growth of the mobile gaming industry, especially within the Battle Royale genre, has reshaped player engagement and competition. Free Fire MAX stands out by combining immersive gameplay with narrative driven elements that sustain long term involvement. This study investigates the influence of Game Design Factors (GDF) on players’ Flow Experience using quantitative analysis. Eleven factors Game Goals, Game Mechanism, Interaction, Freedom, Game Fantasy, Narrative, Sensation, Game Value, Challenges, Sociality, and Mystery were examined. Results show that Narrative, Challenges, and Mystery significantly affect Flow (Sig < 0.05), while others have no substantial impact. The narrative dimension, reinforced through collaboration based storytelling such as themed skins and crossover events, enhances emotional engagement. The challenge factor promotes Flow through balanced difficulty and adaptive gameplay, while the mystery element stimulates curiosity through hidden rewards and unpredictable events. Gender based analysis revealed no significant difference in Flow between male and female players, indicating that psychological immersion transcends gender. These findings support Csikszentmihalyi’s Flow Theory and Shi and Shih’s (2015) Game Design Factors model, emphasizing that engaging narratives, balanced challenges, and mystery driven discovery are key to sustaining player immersion in competitive mobile gaming.
An Exploratory Study of Video Game Pricing in the Southeast Asian Market Wibowo, Tony; Sandriawan, Elfan; Eryc
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4456

Abstract

This exploratory study examines optimal video game pricing within the Southeast Asian market from the perspective of gamers. Employing a two-phase quantitative analysis of 405 respondents across six nations—Indonesia, Malaysia, Singapore, Thailand, the Philippines, and Vietnam—the study identifies a consistent psychological pricing framework. Key findings reveal two stable price thresholds: a normative expectation of approximately USD 20 for indie titles and an upper limit of USD 40–60 for premium AAA games. The research confirms a significant market transition from price sensitivity to value sensitivity, where developer reputation and production quality directly influence price acceptance. Furthermore, the study substantiates the emergence of a "premium indie" category, indicating consumers are willing to invest more in independent games that demonstrate high levels of trust, quality, and artistry. These insights offer crucial guidance for developers and publishers, highlighting the need for localized pricing strategies that respect established value perceptions while adjusting for regional purchasing power. This study addresses a notable gap in the literature concerning consumer pricing behavior in the rapidly growing Southeast Asian gaming market.
Utilizing a Data Warehouse to Analyze the Effects of Sales Type, Product Type, and Price on Net Profit in an F&B Outlet Putri, Allegra Aretha; Aurelia, Nadine; Veronika, Vera; Wiriady, Fransiska Eka Putri; Kurniawan, Rido Dwi; Sari, Muh. Masri
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4513

Abstract

This research aims to investigate how sales type, product type, and price influence net profit in an F&B outlet using a Data Warehouse system. A quantitative method was applied by integrating daily transaction data into a Data Warehouse architecture built through an Extract, Transform, and Load (ETL) process, allowing the data to be more organized and easier to analyze. To address heteroskedasticity and obtain more reliable coefficient estimates, multiple linear regression with HC3 robust standard errors was used. The results show that price and sales type have a significant and positive effect on net profit, while product type shows mixed effects depending on the category. The regression model, with an R² value of 0.994, indicates that these three variables explain most of the variation in net profit. Overall, the findings highlight how structured data processing through a Data Warehouse can support profitability analysis and improve decision-making in F&B operations.
Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) Model Using GIS and Machine Learning Febryansyah Hans Arieyantho, Febry; Luqman; Agtriadi, Herman Bedi
ULTIMA InfoSys Vol 16 No 2 (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.v16i2.4543

Abstract

The adoption of electric vehicles in Indonesia is a strategic initiative supporting the national “Go Green” agenda and the Net Zero Emission target by 2060. As electric vehicle usage continues to grow, especially in West Java, well-distributed Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) locations are increasingly important. Inefficient placement may lead to operational issues, reduced user convenience, and financial losses. This research develops such a model by integrating Geographic Information System (GIS) techniques with machine learning algorithms, specifically Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM). Data preparation includes collecting spatial datasets such as road networks, housing, apartments, parking areas, public facilities from OSM, administrative boundaries from Geofabric, and existing SPKLU points from OpenData West Java. Proximity analysis is used to measure distances to key features, enabling classification of potential locations into Shared-Residential, Enroute, and Destination categories. These outputs are combined with socio-economic variables, including population density, income levels, vehicle ownership, household characteristics, education levels, and age distribution processed using Kernel Density Estimation (KDE). Results show that MLP performs best with 92.8% accuracy. The most influential variable is the productive-age population, minority population, unemployment, and total population. Overall, demographic factors play a dominant role in determining optimal SPKLU locations.

Page 23 of 23 | Total Record : 227

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