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Technomedia Journal
Published by Pandawan Sejahtera Indonesia
ISSN : 26203383     EISSN : 25286544     DOI : 10.33050/tmj
Core Subject : Science, Education,
Computer Science & IT Languange, Linguistic, Communication & Media
Technomedia Journal (TMJ) adalah jurnal yang didedikasikan untuk pertukaran hasil penelitian berkualitas tinggi di semua aspek Informatika, Teknologi Informasi, dan Ilmu Data. TMJ ini merupakan bagian dari Pandawan Sejahtera Indonesia, serta didukung oleh Alphabet Incubator yang merupakan diseminasi hasil penelitian para ilmuwan dan insinyur di berbagai bidang ilmu pengetahuan dan teknologi. TMJ mengikuti kebijakan akses terbuka yang memungkinkan artikel yang diterbitkan tersedia secara online tanpa berlangganan.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 249 Documents
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Utilizing Generative AI Models in Architectural Design An Innovative Approach Palupi Meilani, Yohana F. Cahya; Rohim, Rohim; Rozi, Achmad; Sunarjo, Richard Andre; Moyo, Kgomotso
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/wg15r798

Abstract

In the context of modern architectural design that demands innovation, speed, and efficiency, the emergence of generative artificial intelligence (AI) introduces a new paradigm in the creative process. This technology enables architects to explore design ideas more rapidly and extensively through diffusion-based algorithms capable of producing complex architectural visuals in a short amount of time. This study aims to empirically evaluate the effectiveness and efficiency of generative AI models, particularly Stable Diffusion v2.1, in supporting the stages of ideation, sketching, and architectural modeling. The research employs both qualitative and quantitative approaches through a comparative experiment between manual design and AI-assisted design. Measurements were conducted using four main parameters: production time, visual complexity, rendering sharpness, and the number of design iterations. The results indicate that the generative AI model can accelerate production time by up to 35% greater efficiency compared to the manual method. Furthermore, the Visual Complexity Score (VCS) reached 8.5/10 for AI-generated designs and 6.2/10 for manual ones, with an increase in rendering resolution up to 450 PPI. However, limitations were observed in semantic interpretation and the model’s dependence on well-crafted prompts. This study concludes that the integration of generative AI in architectural design not only enhances the efficiency and effectiveness of the design process but also expands the creative potential of architects. The research contributes to the development of sustainable digital architecture and supports the achievement of SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities). 
Software Based Geotechnical Analysis of Spillway Slope Reinforcement Fabyanto, Ikhsan; Zaki, Muhammad; Pontan, Darmawan; Widiarso, Tulus
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/zzgyr313

Abstract

The construction of large-scale infrastructure such as dams requires precise planning and implementation to ensure structural stability and long-term operational safety. This study aims to analyze slope protection and embankment reinforcement at the spillway excavation area of the Dam Project in Surian District, located in the 137 km-long Cipunagara River Basin. A quantitative approach was applied, using geotechnical modeling software Plaxis 8.6 and Microsoft Excel for data processing. Three slope reinforcement methods were compared: geomat, shotcrete, and cocomesh. Based on the analysis, slope reinforcement using shotcrete achieved the highest safety factor, with short-term SF = 1.649 (34.50% increase) and long-term SF = 1.514 (23.49% increase). Geomat ranked second with SF = 1.544 (25.94%) and 1.418 (15.66%), while cocomesh obtained SF = 1.540 (25.61%) and 1.355 (10.52%). The unreinforced slope had an SF of 1.226. In terms of cost, shotcrete was the most expensive at IDR 4,331,068,967.23, followed by geomat (IDR 2,734,025,024.50) and cocomesh (IDR 906,745,000.00). However, shotcrete also required the longest construction time (30 days) compared to geomat (20 days) and cocomesh (16 days). Shotcrete provides the best technical performance for slope stability, but geomat and cocomesh are more efficient alternatives in terms of cost and time, offering a balanced solution for slope reinforcement projects.
Gen Z’s Motivations and Expectations for Digital Game Development in Indonesia Wibowo, Tony; Tan, Dennis Sidartha; Cen, Li; Kho, Mega Hardianti
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/n5bm1e66

Abstract

The rapid growth of Indonesia’s digital economy positions the gaming industry as a key driver of innovation and sustainable engagement. This study analyzes the motivations and expectations of Gen-Z in playing video games and examines how tech driven innovation including Artificial Intelligence (AI) and Internet of Things (IoT) enhances user experience and digital sustainability. Using an exploratory sequential design, the research combines qualitative exploration with quantitative correlation analysis through SPSS software. The results reveal that achievement motivation significantly correlates with expectations for rewards, exploration, and skill development; escapism motivation relates to expectations of immersive experiences; and social motivation correlates with expectations for interactive and emotionally engaging features. These relationships highlight how Gen-Z values both personal accomplishment and meaningful digital interaction. The findings demonstrate that Gen-Z’s gaming behavior is not solely for entertainment but also represents technology-enabled engagement supporting sustainable digital ecosystems. The study offers strategic insights for game developers, educators, and policymakers to leverage technology in fostering creativity, collaboration, and growth aligned with SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure).
Sustainable Digital Business Model Innovation through Learning Factory and AI Azizah, Nur; Supriati, Ruli; Padeli, Padeli; Mulyati, Mulyati; Apriani, Desy; Fae, Nahlie
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ygn11n27

Abstract

The digital era compels organizations to continuously innovate in creating sustainable digital business models that integrate technology, human resources, and environmental sustainability. Within this transformation, the Learning Factory emerges as an innovative concept that connects theoretical learning with practical application, enabling students and industry practitioners to co-create solutions through real-world, technology-based projects. Simultaneously, Artificial Intelligence (AI) enhances analytical, predictive, and adaptive capabilities, driving efficiency, innovation, and data-driven decision-making across organizational processes. This study aims to explore the synergy between LearningFactory and AI as a strategic driver of innovation in competitive and sustainable digital business models aligned with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). Through a qualitative methodology combining literature review and case study analysis of technology-based organizations and higher education institutions implementing the Learning Factory framework, the research identifies how AI integration strengthens learning outcomes, accelerates digital transformation, and promotes sustainability-driven innovation. The findings reveal that this synergy fostersadaptability, enhances human resource competencies, and generates economic,social, and environmental value. Furthermore, it encourages universities and industries to co-develop agile ecosystems that nurture startupreneurship, continuous learning, and inclusive innovation. Ultimately, this study provides strategic recommendations for designing adaptive, competitive, and sustainable digital business models that empower human potential while advancing organizational resilience in the era of rapid technological disruption.
Digital Leadership Strategy for Technology-Driven Sustainable Business Transformation Sunarya, Po Abas; Rahardja, Untung; Yusup, Muhamad; Mardiana, Mardiana; Sari, Meri Mayang; Kamal, ⁠Abdullah Arif
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/t9nc2739

Abstract

The digital era demands organizations to adapt through sustainable business transformation that combines technological innovation and sustainability values. Digital leadership plays a crucial role in building an adaptive culture, driving innovation, and utilizing technology as a business strategy. This study aims to explore digital leadership strategies in supporting technology-driven business transformation aligned with the Sustainable Development Goals (SDGs). The method used is a literature review and case study analysis of leading companies like Amazon, Tesla, and Gojek that have successfully undergone digital transformation. The focus of the research includes leadership vision, the utilization of technologies such as Artificial Intelligence (AI), Big Data, and IoT, as well as the integration of sustainability principles through the Environmental, Social, and Governance (ESG) framework. The findings show that a clear vision, mastery of technology, and commitment to sustainability are key factors for successful transformation, while also providing strategic insights for organizations in formulating relevant, competitive, and sustainable digital strategies. In order to achieve SDG goals, this study also highlights the importance of cross-sector collaboration and the use of technology to create positive social impacts.
Opinion Mining for Customer Satisfaction in Culinarypreneur Ventures Using Naive Bayes Cahyadi, Hadi; Rahayu, Sri; Rangi, Noah
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/5mqgtb60

Abstract

Examining consumer evaluations of food on social media provides relevant in- formation for anyone searching, especially immigrants and tourists. This infor- mation is also highly valuable for food stall owners and restaurant managers be- cause it helps them improve the quality of the food they serve based on customer feedback. However, sentiment analysis of food reviews often faces challenges due to inadequate data preprocessing, which leads to low classification accuracy. This study aims to improve sentiment recognition accuracy in food reviews by optimizing the feature attribute selection process in the classification model. The classification model employed in this research is Naive Bayes (NB), enhanced through a hybrid feature selection approach that combines the information gain (IG) algorithm and the genetic algorithm (GA). This combination is designed to maximize the selection of the most relevant feature attributes, thereby improving the model’s ability to identify positive, negative, and neutral sentiments in con- sumer food reviews on social media. The experimental results show that the hybrid IG-GA model achieved the highest accuracy rate of 93%, outperform- ing models that use individual algorithms. These findings demonstrate that the hybrid feature selection method effectively enhances the sentiment analysis performance of the Naive Bayes model. This study contributes to the develop- ment of food recommendation systems, the improvement of service strategies for culinary businesses, and supports the achievement of SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure).
Reinterpreting Brand Experience Stimuli through Virtual Space Avatars and Metaverse Co-Creation Aziz, Caesar Achmad Firjaun Faqih; Grahita, Banung
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/hecg6241

Abstract

The transformation of digital spaces into three-dimensional virtual ecosystems, widely known as the metaverse, has fundamentally reshaped the paradigm of brand experience from traditional visual narrative communication into participatory, immersive, and multisensory engagement. This study aims to reinterpret and extend the conventional understanding of brand experience by identifying the key stimuli that shape user interactions within virtual environments. Employing a qualitative exploratory approach based on the AEIOU framework (Activities, Environments, Interactions, Objects, and Users) and reflective thematic analysis, the research examined eight major metaverse platforms across five categories: game-based, social playground, VR-based, NFT-based, and event-based. The analysis revealed five primary dimensions that collectively construct brand experience in the metaverse: immersive presence, virtual space, avatar-mediated interaction, personalized virtual goods, and dynamic co-creation. These dimensions redefine the brand experience from a stimulus–response perspective into a participatory, socially driven relationship in which users actively co-create meaning, identity, and value with brands. The findings highlight how digital stimuli and multisensory interactions within metaverse spaces foster emotional attachment and brand engagement, offering both conceptual and managerial implications. From a theoretical standpoint, this research provides an initial framework for understanding brand experience in immersive digital environments, while practically, it guides marketers and brand strategists to design interactive, personalized, and community-oriented branding initiatives. Ultimately, the study opens new opportunities for future research to empirically examine the link between metaverse-based experiences, user perception, and brand outcomes such as trust, attachment, and loyalty within the evolving digital ecosystem.
Digital Based Estimation of Residential Property Losses from Liquefaction in West Jakarta Maryati, Indah; Zaki, Muhammad; Pontan, Darmawan; Widiarso, Tulus
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i2.2500

Abstract

Liquefaction poses a significant threat to urban areas with water-saturated alluvial soils, especially in seismically active zones like West Jakarta. Using Cone Penetration Test (CPT) data from 25 locations, soil susceptibility was evaluated through Cyclic Stress Ratio (CSR), Cyclic Resistance Ratio (CRR), and Magnitude Scaling Factor (MSF). Areas with safety factor (FS) values below 1 were identified as having high liquefaction potential. Residential buildings were categorized by floor area and assessed using the 2024 Government Property Sales Value (NJOP) to estimate potential financial loss. Structural damage percentages were determined using seismic intensity thresholds and empirical damage functions. Analysis showed that residential areas with moderate to loose soil conditions, particularly in the northern and western zones, are most vulnerable. The total estimated loss reached IDR 189.8 billion, with the highest concentration of damage in medium and large sized residential properties. These findings emphasize the critical need to integrate geotechnical parameters into spatial risk mapping and urban disaster mitigation planning. A digital loss estimation model combining soil characteristics, seismic parameters, and economic valuation provides a scalable approach for early warning systems and resilience-oriented urban planning. The study contributes to data-driven risk management strategies aligned with sustainable development objectives and adaptive infrastructure policies.
The Role of RDI and Technology Emphasis on Operation and Sales Performance that Implies Financial Performance Fernandes, Maleakhi; Utomo, Prio; Purwanto, Sri
Technomedia Journal Vol 10 No 2 (2025): October
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i2.2528

Abstract

Competition among companies, particularly in the technology and telecommunications sectors, demands a high level of innovation to meet consumer needs. The use of advanced technology and investment in research and development (R&D) are expected to be key factors in creating a competitive advantage amid intense business competition. The use of narratives in corporate reports is also expected to build a positive image among stakeholders, foster trust, and attract market attention. This study aims to examine the effect of R&D intensity and technology emphasis on financial performance through the mediation of operational and sales performance in technology and telecommunications companies. The research gap identified is the limited number of studies related to R&D in technology and telecommunications companies, especially those utilizing a content analysis approach. The research uses panel data and is conducted on three technology and telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The samples were selected using a purposive sampling method. The results show that technology emphasis and operational performance have a significant influence on a company’s financial performance, while the relationships among other variables were found to be insignificant. Therefore, companies are encouraged to strengthen their technology emphasis and operational efficiency to enhance productivity and improve financial performance.

Page 25 of 25 | Total Record : 249

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