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All Journal Jurnal Teknologi dan Manajemen Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jambura Journal of Informatics Jusikom: Jurnal Sistem Informasi Ilmu Komputer Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] TEPIAN Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) DECODE: Jurnal Pendidikan Teknologi Informasi SATIN - Sains dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Alfa Yohannis
Pradita University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Co-Authors Aida Lestari Atmojo, Wahyu Tisno Budiman, Christopher Winson Christian, Brandon Josua Chudra, Glenny Dazki, Erick Devisepte, Okhama Siladata Dhamayanti, Raditia Eko Setiawan Ghazali, Arnold Christopher Glenny Chudra Glenny Chudra Indrajit, Eko Jayaloka, Aji Jiustian, Danny Laurenso, Justin Manaek, Roy Mareta, Arvin Ong, Alexander Dennis Permatasari, Ayu Novira Shinta Purawidjaja, Ratna Amalia Raditia Dhamayanti Rido Dwi Kurniawan Setiawan, Richard Siregar, Master Edison Veronika, Maria Watasendjaja, William Wilson Wilson Wilson Wiyanto, Novianthony