Garuda - Garba Rujukan Digital

KOMPARASI MODEL-VIEW-CONTROLLER (MVC) VS. MODEL-VIEW-PRESENTER (MVP) PADA WAKTU EKSEKUSI DAN PENGGUNAAN MEMORI Yohannis, Alfa Ryano; Ong, Alexander Dennis; Ghazali, Arnold Christopher; Devisepte, Okhama Siladata; Christian, Brandon Josua; Chudra, Glenny; Siregar, Master Edison
PROSIDING SEMINASTIKA Vol 5 No 1 (2024): 5th SEMINASTIKA 2024
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v5i1.837

Pilihan pola arsitektur secara signifikan mempengaruhi kinerja dan efisiensi memori sistem perangkat lunak. Makalah ini menyajikan analisis komparatif antara dua pola arsitektur yang banyak digunakan: Model-View-Controller (MVC) dan Model-View-Presenter (MVP). Kajian pada makalah ini bertujuan memberikan wawasan mengenai pola arsitektur mana yang lebih unggul dalam hal kecepatan komputasi dan penggunaan memori, faktor-faktor penting dalam menentukan skalabilitas dan responsivitas aplikasi. Untuk melakukan evaluasi yang adil, kajian ini mengimplementasikan aplikasi identik menggunakan arsitektur MVC dan MVP. Kajian mengukur kecepatan eksekusi dan jejak memori dari masing-masing pola dalam berbagai skenario input yang berbeda. Dengan memberikan bukti empiris mengenai atribut kinerja MVC dan MVP, studi ini diharapkan dapat berkontribusi pada pengambilan keputusan yang lebih terinformasi dalam perancangan arsitektur, yang pada akhirnya meningkatkan kualitas dan efisiensi keseluruhan sistem perangkat lunak.

Evaluation of Cybersecurity Awareness and Training for Digital Branch Frontliners at Bank XYZ Permatasari, Ayu Novira Shinta; Yohannis, Alfa Ryano
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6016

The digital transformation in the banking sector has driven a shift in operations, including the establishment of digital branches that rely on information technology to deliver services to customers. However, the increased use of technology brings significant information security risks, particularly those stemming from human factors. This study aims to evaluate the level of cybersecurity awareness among frontliners at Bank XYZ’s digital branch using the ISO/IEC 27002:2022 framework and to develop training recommendations based on NIST SP 800-50. The research was conducted using both quantitative and qualitative methods, involving questionnaires and observations of 36 frontliners. The evaluation results revealed that several controls, particularly Response to Information Security Incidents (ID 5.26), still showed low levels of understanding (60%), indicating the need for training intervention. Training recommendations were designed based on the Cybersecurity and Privacy Learning Program (CPLP) principles from NIST SP 800-50, which include visual approaches, role-based training, and digital learning media. The implementation of these recommendations for one of the controls showed a significant improvement in post-test scores (average >= 93), exceeding the 85% threshold. This indicates that the CPLP-based approach is effective in enhancing frontliners’ cybersecurity awareness. This research is expected to serve as a reference for other banks in developing adaptive information security training strategies aligned with international standards.

KOMPARASI MODEL-VIEW-CONTROLLER (MVC) VS. MODEL-VIEW-PRESENTER (MVP) PADA WAKTU EKSEKUSI DAN PENGGUNAAN MEMORI Yohannis, Alfa Ryano; Ong, Alexander Dennis; Ghazali, Arnold Christopher; Devisepte, Okhama Siladata; Christian, Brandon Josua; Chudra, Glenny; Siregar, Master Edison
PROSIDING SEMINASTIKA Vol. 5 No. 1 (2024): 5th SEMINASTIKA 2024
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v5i1.837

Pilihan pola arsitektur secara signifikan mempengaruhi kinerja dan efisiensi memori sistem perangkat lunak. Makalah ini menyajikan analisis komparatif antara dua pola arsitektur yang banyak digunakan: Model-View-Controller (MVC) dan Model-View-Presenter (MVP). Kajian pada makalah ini bertujuan memberikan wawasan mengenai pola arsitektur mana yang lebih unggul dalam hal kecepatan komputasi dan penggunaan memori, faktor-faktor penting dalam menentukan skalabilitas dan responsivitas aplikasi. Untuk melakukan evaluasi yang adil, kajian ini mengimplementasikan aplikasi identik menggunakan arsitektur MVC dan MVP. Kajian mengukur kecepatan eksekusi dan jejak memori dari masing-masing pola dalam berbagai skenario input yang berbeda. Dengan memberikan bukti empiris mengenai atribut kinerja MVC dan MVP, studi ini diharapkan dapat berkontribusi pada pengambilan keputusan yang lebih terinformasi dalam perancangan arsitektur, yang pada akhirnya meningkatkan kualitas dan efisiensi keseluruhan sistem perangkat lunak.

Online Shopping Experience in Minimarket and The Impact on Sales Figure Budiman, Christopher Winson; Yohannis, Alfa Ryano
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3445

The rise of digital technology has transformed consumer shopping behavior, with online shopping emerging as a dominant force in retail. This study investigates the online shopping experience in minimarkets, a segment traditionally reliant on in-person transactions and explores its impact on sales figures. As consumer preferences increasingly shift towards convenience and accessibility, minimarkets must adapt to integrate online platforms that cater to these demands. This research employs a mixed-methods approach, combining quantitative analysis of sales data from selected minimarkets with qualitative insights gathered through customer surveys and interviews. Key findings reveal that the online shopping experience significantly influences customer satisfaction and purchasing behavior in minimarkets. Factors such as website usability, product variety, delivery options, and customer service quality are found to be critical determinants of the online shopping experience. Additionally, the study highlights that effective online engagement strategies such as personalized promotions, user-friendly interfaces, and responsive customer support can lead to increased customer loyalty, higher average order values, and improved overall sales performance. The research further demonstrates that the integration of online shopping platforms not only complements traditional brick-and-mortar operations but also attracts new customer segments who prioritize convenience and accessibility. In particular, the ability to shop online allows minimarkets to capitalize on trends such as click-and-collect services and home delivery, which have gained traction during the COVID-19 pandemic and continue to shape consumer expectations. Furthermore, the analysis reveals a direct correlation between enhanced online shopping experiences and improved sales figures, suggesting that minimarkets that invest in their digital presence can achieve significant competitive advantages in a rapidly evolving retail landscape. This paper contributes to the growing body of literature on online retailing by providing empirical evidence on the effectiveness of online shopping experiences in small-format retail environments. It offers actionable insights for minimarket managers and stakeholders looking to optimize their online platforms, enhance customer engagement, and ultimately drive sales growth. The findings emphasize the necessity for minimarkets to embrace digital transformation as an integral component of their business strategy to remain relevant and competitive in today’s consumer-driven market

The Implementation of Cloud Technology for Collaboration and Data Management in Property Developers Veronika, Maria; Yohannis, Alfa Ryano
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3448

This study explores the impact of cloud technology implementation on collaboration, data management, and information security within a property development company. Prior to the implementation, the company faced significant challenges, including fragmented data storage, limited cross-team collaboration, and inadequate data security measures. Through a case study approach, this research analyzes the transition from a fragmented system to a centralized cloud infrastructure. The findings indicate that cloud adoption improved real-time collaboration across dispersed teams, reduced data duplication by 30%, and enhanced data security through role-based access control and encryption. Additionally, the centralized data storage system improved the accuracy of project information and sped up decision-making processes by 25%. The research also highlights how cloud technology helped the company meet compliance standards like ISO 27001 while enhancing operational efficiency. This study contributes valuable insights into how cloud solutions can streamline operations in complex industries like property development, emphasizing the need for continuous adaptation of technological solutions to meet evolving business demands.

Enhancing Business Intelligence with Explainable AI: Evaluating Transparency, Interpretability, and User Trust Jayaloka, Aji; Yohannis, Alfa Ryano
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3462

The integration of Artificial Intelligence (AI) into Business Intelligence (BI) systems has significantly advanced data analysis and decision-making capabilities. However, the inherent "black box" nature of many sophisticated AI models poses considerable challenges to transparency, interpretability, and user trust, hindering their full adoption in critical business contexts. Explainable AI (XAI) emerges as a crucial field to address these challenges by rendering AI decision-making processes understandable and verifiable. This paper investigates the impact of different XAI methodologies on transparency, interpretability, and user trust within BI systems through a mixed-methods study. We specifically evaluate the effectiveness of feature importance techniques (LIME, SHAP) and rule extraction methods (Decision Tree Surrogates) in enhancing user understanding and confidence when interacting with an AI-driven BI prototype focused on customer churn prediction. Our findings reveal that while a baseline black-box model achieved high predictive accuracy, XAI-enhanced scenarios significantly improved user trust and perceived interpretability. Notably, a Decision Tree Surrogate model achieved the best balance between explainability, user trust, and decision accuracy. This research provides empirical insights into tailoring XAI explanations for varying user needs in BI, offering guidelines for integrating XAI to build more ethical, transparent, and trustworthy BI solutions, ultimately fostering greater user acceptance and more informed decision-making.

A Business Architecture Framework for Streamlining Post-Production Workflows in the Film Industry Wilson; Yohannis, Alfa Ryano; Dazki, Erick
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3483

The post-production phase of filmmaking is a complex sequence of activities that directly impacts artistic quality, cost-efficiency, and time-to-market. Despite advancements in editing suites and asset repositories, many studios face fragmented systems, manual bottlenecks, and version-control conflicts. This paper presents a comprehensive Business Architecture framework, modeled using ArchiMate and aligned with the TOGAF Architecture Development Method (ADM), to transform post-production into an integrated, transparent ecosystem. We systematically map the current ("as-is") and envisioned ("to-be") states across business, application, and technology layers to identify critical inefficiencies, such as redundancy in asset handling and gaps in process standardization. Key recommendations, derived directly from this architectural analysis, include deploying a cloud-based Digital Asset Management (DAM) solution, instituting standardized handoff and approval workflows, and embedding granular metadata strategies to enhance searchability. These targeted interventions not only streamline collaboration and minimize manual rework but also accelerate overall delivery timelines. By systematically applying a robust enterprise architecture framework to a creative industry often characterized by ad-hoc solutions, this research provides a practical blueprint for studios to achieve sustained operational excellence and strategic agility.

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