cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Reza Andrea
Contact Email
reza.andrea@gmail.com
Phone
+6285388729017
Journal Mail Official
admin.tepian@politanisamarinda.ac.id
Editorial Address
Kampus Sei Keledang Jl. Samratulangi, Samarinda Kode Pos 75131
Location
Kota samarinda,
Kalimantan timur
INDONESIA
TEPIAN
Published by Politeknik Pertanian Negeri Samarinda
ISSN : 27215350     EISSN : 27215369     DOI : -
Core Subject : Science,
Computer Science & IT
The purpose of TEPIAN is to publish original research studies directly relevant to computer science. TEPIAN encompasses the full spectrum of information technology and computer science, including information system, hardware technology, intelligent system, and multimedia applications. TEPIAN welcomes original papers, reviews and commentaries. Suggestions for special issues covering selected topics may be considered. TEPIAN is devoted to publish manuscripts that advance the knowledge of information technology and communication beyond state-of-the-art. Authors may contact the Editor-in-Chief in advance to inquire about whether their research topic is suitable for consideration by TEPIAN. Through an Open Access publishing model, TEPIAN provides an important forum where computer science researchers in academic, public and private arenas can present the latest results from research on information technology and communication in a broad sense.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 208 Documents
 17   18   19   20   21 
Improving Meta Ads Efficiency through Multi-Level Campaign Structuring and Budget Optimization Sutardiman, Mario; Mantoro, Teddy
TEPIAN Vol. 6 No. 2 (2025): June 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i2.3386

Abstract

The rise of digital advertising has transformed the way businesses interact with consumers, making platforms like Meta Ads a cornerstone of marketing strategies. However, achieving optimal efficiency in Meta Ads remains challenging due to the complexity of campaign setups and budget allocation. This study addresses the issue by examining key configurations at three levels: campaigns, ad sets, and individual ads. The research explores how advertisers can tailor campaigns to specific objectives, such as driving traffic or increasing sales, while leveraging ad set customization for audience targeting, placement optimization, and A/B testing. To improve ad performance, this study emphasizes the importance of refining content at the ad level, ensuring alignment with campaign goals. Budget management is also highlighted, contrasting Campaign Budget Optimization (CBO) with Ad Set Budget Optimization (ABO), and offering insights into leveraging these tools to maximize returns. The study further recommends adjusting budgets based on audience behavior patterns, such as spikes in purchasing activity during twin dates or paydays. By providing actionable strategies for configuring Meta Ads, this study contributes to the field of digital marketing by bridging practical implementation and theoretical insights. Evaluation of these strategies is supported through examples of best practices, with recommendations for advertisers to enhance their Meta Ads efficiency through continual testing and strategic budgeting.
Implementation of the National Online Samsat System (e-Samsat) in Palopo’s Digital Era Wiradani, Ni Gusti Ayu; Arifuddin, Puput Flora; Ilman, Nur
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3348

Abstract

This article discusses the implementation of the National Online One-Stop Single Administration System (e-Samsat) as part of the digital transformation of public services in Palopo City. The main focus of this research is to evaluate the effectiveness of e-Samsatservices in improving the administrative efficiency of Motor Vehicle Tax (PKB) payments and encouraging taxpayer compliance. The e-Samsat service is expected to be a solution to the constraints in the conventional system, such as long queues, complex bureaucracy, and time constraints. This research uses a mixed method approach through field observations, in-depth interviews with Samsat employees and taxpayers, and a quantitative survey measuring user satisfaction with six aspects of the service: ease of use, payment methods, system efficiency, innovation, security, and infrastructure. The results showed that the majority of respondents felt helped by the existence of e-Samsat, especially in terms of ease of access and time flexibility. However, the system is not fully optimized as there are still stages that require physical presence, such as the five-year STNK validation. In addition, obstacles such as low digital literacy, lack of socialization, and technical disruptions such as unstable connections also affect the effectiveness of this system. The data shows that the level of taxpayer compliance fluctuates from year to year, with an improving trend in 2023-2024 as the number of vehicle units paying taxes online increases. This study concludes that the successful implementation of e-Samsat depends not only on the availability of technology, but also on infrastructure readiness, supporting policies, and active community involvement. Therefore, a system strengthening strategy is needed through improving digital infrastructure, public education, and inter-agency collaboration so that e-Samsat can function more effectively and sustainably in supporting the optimization of regional revenue and technology-based development.
AI for Enhanced Efficiency in Business Waste Sorting Strategies Mahmudi, Ama Muzni; Mantoro , Teddy
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3379

Abstract

As the global waste crisis grows, businesses are under pressure to improve waste management. AI, especially through machine learning and image recognition, offers innovative solutions for optimizing waste sorting. By using Convolutional Neural Networks (CNNs) and deep learning models trained on extensive datasets of waste images, companies can automate the classification of materials such as plastic, glass, and metal with high accuracy. This reduces reliance on manual labor, minimizes human error, and improves the speed and precision of sorting. Cameras capture images of waste items on conveyor belts, which are then analyzed by AI algorithms in real time. These systems continuously improve through feedback loops and reinforcement learning, leading to more efficient sorting over time. The result is higher recycling rates, reduced operational costs, and enhanced sustainability outcomes. AI-based systems enable businesses to decrease waste sent to landfills, recover valuable materials, and lower costs associated with waste management. With continuous updates to their training data and the use of edge computing for real-time processing, these solutions represent a major advancement in sustainable business practices.
TOGAF-Based Business Architecture Design for FinLy in Innovation and Monetization of AI-Based Digital Financial Services Karjadi, Markus; Indrajit, Richardus Eko; Dazki, Erick
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3413

Abstract

This study aims to design a business architecture for FinLy, a digital startup focused on the development and monetization of AI-based financial products. The approach follows the TOGAF Architecture Development Method (ADM), with particular emphasis on the Architecture Vision, Business Architecture, and Opportunities & Solutions phases. Employing a Design Science Research methodology, the architectural models are constructed using ArchiMate, Business Model Canvas, and Business Capability Mapping. Findings demonstrate that FinLy’s business architecture effectively maps four core capability domains to ten revenue streams that align with its digital monetization strategy. Evaluation results indicate that the architecture is modular, adaptive, and strategically aligned. The novelty of this research lies in the end-to-end integration of the TOGAF framework, generative AI technologies, and digital monetization mechanisms within the context of financial product design. As such, FinLy serves as a reference model for financial startups seeking to establish a capability-based enterprise architecture supported by cloud-native tools like Figma, Google Cloud Platform, and Oracle Database. This work contributes to the advancement of business architecture frameworks that are both technically efficient and capable of delivering personalized, adaptive, and commercially sustainable services in the digital era
Implementation of the “Bisheldig” Multimedia Educational Program to Enhance Health Standards within the Sakinah Household Group Nurhuda, Asep; Rini, Eka Mistiko; Ping , Maria Floriana; Rahim, Ilma; Satria , Bagus; Nurhasanah , Nurhasanah
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3435

Abstract

The Sakinah Household Group (Dasawisma Sakinah) faces challenges such as the digital divide and low health standards, with the frequent occurrence of flooding contributing to health issues. The Business, Healthy Living, and Digital (Bisheldig) program was created to address these concerns by offering education on digital technology usage and the promotion of clean and healthy living habits to vulnerable groups suffering from health-related problems. The objective of this study was to develop and assess the effectiveness of the Bisheldig program in enhancing digital literacy, focusing specifically on health behavior patterns, and improving the overall quality of life within the community. The Bisheldig program is designed using ADDIE model development, covering everything from analysis creation to evaluation. The program educates users on 10 essential health habits for households, such as childbirth assistance by healthcare professionals, exclusive breastfeeding, baby and toddler weighing, clean water usage, handwashing, sanitation practices, mosquito larvae control, daily physical activities, balanced nutrition, and maintaining a smoke-free indoor environment. Data was gathered through beta testing, revealing that the Bisheldig program significantly enhances digital literacy while promoting healthy living behaviors. This research offers insights for the development of multimedia-based health education initiatives and contributes to understanding the connection between digital literacy, public health, and information technology in improving household health outcomes.
Enterprise Architecture Planning for the Coffee Shop Sector Using ADM at Big Coffee Signature Budiman, Christopher Winson; Indrajit, Richardus Eko; Dazki, Erick
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3444

Abstract

The coffee shop industry in Indonesia is experiencing rapid growth, along with the increasing demand for more innovative and efficient customer experiences. To maintain competitiveness and improve operational efficiency, coffee shop companies need to utilize technology in a structured manner. This study aims to design and develop an Enterprise Architecture (EA) model that can be applied to Big Coffee Signature in order to align business strategy with the technology used. In this study, the TOGAF and ArchiMate frameworks are used to design an enterprise architecture that is integrated with online ordering systems, digital payments, customer management, and raw material stock management. Through the implementation of EA, Big Coffee Signature can optimize the use of technology to improve operations and provide better customer experience. The application systems used, such as the Smart Ordering System, Multichannel Payment System, and Inventory Management System, are integrated to improve efficiency, transparency, and convenience for customers. This study also shows that by integrating third-party platforms such as GoFood and GrabFood, companies can expand their market reach and provide greater convenience for customers in placing orders. The results of the study show that the implementation of a structured EA can provide significant benefits in terms of operational efficiency, aligning technology with business needs, and improving customer service. The suggestions provided, such as further development of the customer loyalty system, utilization of AI for service personalization, and development of a cloud-based POS system, are expected to help Big Coffee Signature to increase the competitiveness and sustainability of their business.  
Business Architecture Design in Indonesia’s Property Development Industry Veronika, Maria; Dazki, Erick; Indrajit, Eko
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3449

Abstract

In the highly complex Indonesian property development industry, companies require a robust framework to effectively integrate diverse business and technological elements. This study addresses this need by designing a comprehensive business architecture model utilizing an Enterprise Architecture approach and ArchiMate modeling language. The research began by employing Business Model Canvas (BMC) to identify and analyze four primary revenue streams for property development companies: property sales, leasing income, hospitality income, and revenue from the retail and entertainment sectors. For each of these streams, a detailed business architecture model was constructed using ArchiMate, meticulously mapping the intricate relationships between key components such as business actors, business processes, supporting applications, data, and underlying system technologies. The resulting four business architecture models visually articulate the value flows and critical interconnections within each revenue stream. These models provide valuable insights, demonstrating how property developers can strategically manage, optimize, and align their operations with overarching business objectives. This research makes a significant contribution to the understanding and application of Enterprise Architecture within the property industry. It showcases the potential of ArchiMate to create more structured, integrated, and strategically aligned business models. The findings are intended to serve as a practical reference for property development companies in Indonesia, guiding them in the design and management of their business models to enhance competitiveness and drive sustainable growth in a dynamic market.
The Art of Customization: Text-to-Image Tools in Video Production Wilson, Wilson; Yohannis, Alfa; Dazki, Erick
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3461

Abstract

As technology progresses, the need for tailored experiences is reshaping video editing, particularly due to the new content demands arising from social media. The advent of Artificial Intelligence (AI) has introduced significant advantages, such as enhanced workflow efficiency, cost reduction, and the generation of high-quality materials. However, professionals in the creative sector still express concerns about issues related to security, privacy, and the fear that AI might supplant human jobs. These worries, along with the potential loss of creative autonomy, can be mitigated through concise training that educates users on the capabilities of AI. By mastering these tools, creators can utilize AI to streamline their processes while preserving their artistic integrity. A comparison of various recently launched AI text-to-image applications reveals notable disparities in both accuracy and quality. Additionally, discussions with industry professionals indicate that those who have successfully incorporated AI into their workflows strongly endorse specific software that has significantly boosted their productivity. This suggests that, when implemented thoughtfully and with the right tool selection, AI can serve as a valuable resource in the realm of innovative and personalized video production

Page 21 of 21 | Total Record : 208

 17   18   19   20   21 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 3 (2025): September 2025 Vol. 6 No. 2 (2025): June 2025 Vol. 6 No. 1 (2025): March 2025 Vol. 5 No. 4 (2024): December 2024 Vol. 5 No. 3 (2024): September 2024 Vol. 5 No. 2 (2024): June 2024 Vol. 5 No. 1 (2024): March 2024 Vol. 4 No. 4 (2023): December 2023 Vol. 4 No. 3 (2023): September 2023 Vol. 4 No. 2 (2023): June 2023 Vol 4 No 2 (2023): June 2023 Vol 4 No 1 (2023): March 2023 Vol. 4 No. 1 (2023): March 2023 Vol. 3 No. 4 (2022): December 2022 Vol 3 No 4 (2022): December 2022 Vol 3 No 3 (2022): September 2022 Vol. 3 No. 3 (2022): September 2022 Vol 3 No 2 (2022): June 2022 Vol. 3 No. 2 (2022): June 2022 Vol. 3 No. 1 (2022): March 2022 Vol 3 No 1 (2022): March 2022 Vol 2 No 4 (2021): December 2021 Vol 2 No 3 (2021): September 2021 Vol. 2 No. 3 (2021): September 2021 Vol 2 No 2 (2021): June 2021 Vol 2 No 1 (2021): March 2021 Vol 1 No 4 (2020): December 2020 Vol 1 No 3 (2020): September 2020 Vol 1 No 2 (2020): June 2020 Vol 1 No 1 (2020): March 2020 More Issue