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INDONESIA
Tech-E
Published by Universitas Buddhi Dharma
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Tech-E dikembangkan dengan tujuan menampung karya ilmiah Dosen dan Mahasiswa, baik hasil tulisan ilmiah maupun penelitian yang berupa hasil studi kepustakaan.
Arjuna Subject : -
Articles 125 Documents
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PENGARUH PEMANFAATAN TEKNOLOGI INFORMASI PADA PEDAGANG PASAR LAMA TANGERANG Rudy Arijanto; Jonathan; Rendy Hartono Jesse N.W; Delvien Wiefrand; Jonathan Rio Imanuel Agasi
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3216

Abstract

Technological progress is reshaping traditional markets, bringing improvements in speed, convenience, and reach to day-to-day trading. Digital payment platforms such as QRIS and All Payment along with e-commerce channels allow merchants to process transactions more quickly and give customers flexible, cash-free options. Although these innovations promise greater operational efficiency, widespread uptake remains uneven. Two persistent hurdles are low digital literacy and anxieties over data security, issues that often breed resistance and mistrust among stallholders. Findings from surveys and in-depth interviews suggest that tailor-made education and hands-on training are pivotal in changing perceptions. By demonstrating practical advantages like simplified bookkeeping, real-time sales tracking, and broader customer access training sessions help traders see technology as an ally rather than a threat. Equally important is the coordinated support of local governments, market management bodies, and technology vendors. Their collaboration can produce policies that lower adoption costs, provide subsidies for devices, and establish on-site help desks to address technical problems swiftly. Such institutional backing both incentivizes merchants and accelerates the diffusion of digital tools throughout the market ecosystem. Furthermore, guaranteeing reliable internet connectivity and user-friendly interfaces reduces friction in daily use, reinforcing trader confidence. Early adopters already report smoother workflows, faster customer turnover, and better record-keeping accuracy. These outcomes highlight the need for a multifaceted strategy combining capacity-building, stakeholder engagement, and infrastructure enhancement to modernize traditional commerce while safeguarding its cultural vibrancy and social relevance.
Rebuilding Public Trust in Islamic Banking Through the Utilization of Technology: Conceptual Review and Strategies Antasari, Novira Dian; Zulhamdani; Amat Basri; Triana Salma Dewi
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3231

Abstract

Public trust in Islamic banking has been a significant challenge in recent years. This is influenced by several factors such as lack of technology literature, technology distribution, cybersecurity, regulatory frameworks, customer awareness, and financial inclusion. This research aims to highlight the technology in restoring public trust in Islamic banking and present practical strategies for digital Sharia banks. This research aims to identify public trust in Islamic banking in Indonesia through technology. This research design is descriptive qualitative and the type of data used is secondary data. Sources and data were obtained from OJK websites, books, the internet, social media, journals, and other relevant digital format. Data is processed using the Python programming language. The results of this research indicate that digital literacy for Bank Hijra is less well-known among the public. From the mobile banking application, the rating of the sample banks shows a number above 4. User reviews show that the use of these applications has not yet achieved maximum customer satisfaction, as there are still complaints about data security concerns. It concluded that customer trust in digital Sharia banks has indeed increased, but there is still a need to improve data security and digital literacy, and user experience for the public.
SIMULASI PERBANDINGAN MANAGEMENT BANDWITDH MENGGUNAKAN TEKNIK QUEUE TREE DAN PCQ Rahmat Novrianda Dasmen; Daud Rusdi; Rasmila
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3374

Abstract

The IT services at PSP Pusri Building are equipped with adequate internet network facilities. However, the distribution of bandwidth across the network is uneven, which leads to bandwidth contention among users and consequently slows down internet connections. This issue arises due to the absence of specific upload and download limits for each room, which affects network stability. Managing upload and download speeds is crucial for efficient data transmission, and bandwidth management is needed to address this problem. This study employs an action research methodology, which includes the stages of Diagnosis, Action Planning, Action Taking, Evaluating, and Specifying Learning. The research focuses on improving network performance by implementing bandwidth management. The Per Connection Queue (PCQ) tree and queue techniques are applied to organize data flow based on priority, ensuring better distribution of bandwidth across all rooms. The results of simulations conducted during the bandwidth management application show significant improvement. The implementation effectively reduces the congestion issues in each room by providing an equal distribution of bandwidth. By using these management techniques, the IT services in the PSP Pusri Building can ensure a more stable and efficient network, improving the overall internet experience for users. This approach not only resolves existing bandwidth issues but also serves as a model for future network improvements. The study highlights the importance of careful bandwidth management in maintaining optimal network performance, especially in environments with multiple users and varying data demands.
Optimasi Hyperparameter Convolutional Neural Network untuk Klasifikasi Jenis Penyakit Daun Jagung menggunakan CLAHE Al-Fatih, Gilang Fajar; Pulung Nurtantio Andono; M. Arief Soeleman
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3541

Abstract

Corn plays an important role as one of the main food sources in Indonesia and around the world. Diseases in corn plants are often visible through their leaves. However, problems arise when farmers have difficulty detecting diseases that attack corn plants, making it difficult to take appropriate action to control them. Diseases in corn plants can lead to reduced photosynthesis, disrupt agricultural productivity, and cause financial losses for farmers. Therefore, a digital approach that can detect various types of diseases in corn plants is highly needed. In recent years, the emergence of machine learning algorithms has provided support systems for classifying corn leaf diseases. This research aims to classify types of corn leaf diseases using the Optimization of Convolutional Neural Network (CNN) Method for Classifying Types of Corn Leaf Diseases Using Contrast Limited Adaptive Histogram Equalization (CLAHE). The research stages include data collection, image enhancement with CLAHE, data augmentation, data preprocessing, classification, and evaluation. The Optimization of the CNN Method for Classifying Types of Corn Leaf Diseases Using CLAHE resulted in an accuracy of 94%, indicating that this experiment is capable of classifying corn leaf diseases effectively.
Recent Developments in the Artificial Intelligence of Things (AIoT) in Assistive Technology: A Systematic Literature Review (2020–2025) Zuko Vusi; Lindi Thuli
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3834

Abstract

This systematic literature review explores the application of Artificial Intelligence of Things (AIoT) in Assistive Technology designed to support individuals with disabilities. Out of an initial 267 articles, 38 studies were selected based on inclusion criteria and quality assessment. The review identifies the dominant machine learning models used in AIoT-based assistive technology solutions. Most research focuses on visual impairments, revealing a significant gap in addressing cognitive, psychological, and degenerative disabilities. Various IoT devices such as wearables, sensors, exoskeletons, and smart wheelchairs are employed to provide adaptive, real-time, and personalized assistance. Key methodological limitations include reliance on simulated data, small sample sizes, and lack of field validation. Technical challenges such as device interoperability and accessibility also hinder implementation. These findings highlight the need for more inclusive research involving direct participation of end-users to develop effective, accessible, and scalable AIoT-based assistive technologies that enhance the quality of life for people with disabilities.
SISTEM INFORMASI MANAJEMEN KEUANGAN PAUDQU NURUL IZZAH MENGGUNAKAN METODE RAPID APLICCATION DEVELOPMENT (RAD) BERBASIS WEB Tri Ramadan, Aditya; Gilang Saputra; Mohamad Fadil Adha; Wasis Haryono
Tech-E Vol. 9 No. 1 (2025): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i1.3944

Abstract

This study presents the design and development of a web-based Financial Management Information System (FMIS) for PAUDQU Nurul Izzah using the Rapid Application Development (RAD) methodology to replace error-prone and time-consuming manual processes. Through stakeholder interviews with administrators, accounting staff, and teachers, we identified essential functional requirements such as transaction entry, automated report generation, and role-based access controls and nonfunctional needs for performance, security, and user-friendliness. Based on these requirements, we created data models, user interface mockups, and workflow diagrams, then rapidly built and refined a prototype in successive iterations of demonstration and feedback until it satisfied predefined accuracy and usability criteria. Comprehensive testing including unit, integration, and user acceptance tests confirmed that the system reliably records financial transactions and generates income statements, balance sheets, and cash flow summaries without manual intervention. Initial evaluations show a 60 percent reduction in transaction processing time and a decrease in month-end reporting from days to hours, while built-in audit trails and access controls enhance accountability and data integrity. By delivering digital ledgers, real-time dashboards, and automated reporting, this RAD-driven FMIS not only streamlines financial workflows at PAUDQU Nurul Izzah but also establishes a scalable model for modernizing administrative operations in other early childhood education institutions.
ANALISIS USER EXPERIENCE WEBSITE BIRO PENGADAAN BARANG DAN JASA PROVINSI SUMATERA SELATAN MENGGUNAKAN METODE HEURISTIC EVALUATION Rasmila; Ario Damsi; Rahmat Novrianda Dasmen
Tech-E Vol. 9 No. 2 (2026): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i2.4225

Abstract

This study evaluates user experience (UX) on the South Sumatra Province Goods and Services Procurement Bureau (PBJ) website using Jakob Nielsen’s Heuristic Evaluation to identify usability barriers affecting e-government transparency and accountability. As public procurement increasingly relies on digital platforms, preliminary assessments revealed critical issues including unintuitive navigation, limited system feedback, and inadequate user guidance that risk undermining public trust. The evaluation employed a 30-item Likert-scale questionnaire aligned with ten heuristic principles and was conducted by expert evaluators. The results show an overall usability index of 81, classified as excellent, with strong performance in consistency and standards (92 percent) and aesthetic and minimalist design (88 percent). Nevertheless, lower scores emerged in help and documentation (69 percent) and error prevention (78 percent), indicating priority areas for improvement. The findings confirm that usability heuristics function as governance enablers rather than purely technical attributes. Improved visibility of system status and effective error recovery mechanisms enhance procurement oversight and are associated with a 20 to 30 percent reduction in vendor drop-off rates. Contextual tooltips and guidance further strengthen accountability in high-value public tenders. The study recommends simplifying navigation structures, strengthening form validation, and implementing searchable frequently asked questions for sustainable provincial e-government implementation initiatives.
Optimization of CNN and Vision Transformer Models in Addressing Long-Tailed Data Imbalance for Satellite Cloud Image Classification Nandivadhano, Revatta Manggala; Aditiya Hermawan; Lidya Lunardi
Tech-E Vol. 9 No. 2 (2026): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i2.4256

Abstract

This study investigates long-tailed satellite cloud image classification by comparing CNN and Vision Transformers (ViT) built upon vision–language foundation models. A large-scale satellite cloud dataset with 11 highly imbalanced classes, including a dominant non-phenomenon category, is used to represent realistic atmospheric variability. The data are split using stratified sampling, standardized to a fixed resolution, and used to fine-tune CLIP-based backbones from RemoteCLIP and GeoRSCLIP through parameter-efficient adaptation. Several loss functions Cross Entropy, Logit Adjustment, Focal, Class-Balanced, and label-distribution–aware variants are evaluated, along with experiments examining majority-class removal and adapter bottleneck adjustments. Initial results show that Logit Adjustment causes majority-class collapse under default settings. After optimization, ViT-based models consistently outperform CNN models, achieving higher accuracy and more balanced macro-level performance. Class-Balanced loss emerges as the most effective objective, offering a strong trade-off between overall accuracy and per-class fairness. Increasing the adapter bottleneck dimension further boosts ViT performance, enabling the best configuration to match or exceed prior benchmarks while improving minority-class recognition. The final optimized model is deployed in a web-based prediction system, demonstrating the practical potential of foundation-model approaches for satellite-driven weather analysis.
Design and Implementation of an Integrated Internal Collaboration and Communication Platform Using the SDLC Waterfall Method Riyan Permana; Muhammad Riski Supandy; Raihan Nusantara; Wasis Haryono
Tech-E Vol. 9 No. 2 (2026): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i2.4277

Abstract

Collaboration and communication platforms play a critical role in supporting modern organizations, particularly those operating in hybrid and remote working environments. These platforms enhance workflow efficiency, improve coordination across teams, and facilitate seamless information exchange. This study aims to design and implement an integrated internal collaboration and communication system that unifies chat, discussion forums, file sharing, and internal video conferencing within a single platform. The system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model, which includes requirement analysis, system design, implementation, and testing phases. Data collection was conducted through direct observation and structured interviews to identify user needs and determine system requirements. Functional testing was carried out to assess system performance, interface responsiveness, and feature reliability. The results indicate that all major functionalities work effectively, including real-time messaging, collaborative document editing, centralized file management, and virtual meeting capabilities. Overall, the proposed platform enhances coordination efficiency, reduces data fragmentation, and minimizes reliance on external third-party applications. This research provides a comprehensive and structured blueprint for developing integrated internal collaboration systems that support effective communication and centralized information management within organizational environments.
Simulation Approaches To Thermal Comfort In Tvet Workshops: A Review Norarziana Sasudian; Asmat Ismail; Iryani Abdul Halim Choo
Tech-E Vol. 9 No. 2 (2026): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v9i2.4303

Abstract

Thermal comfort is a crucial element of indoor environmental quality (IEQ), affecting health, cognitive performance, and educational results. Technical and Vocational Education and Training (TVET) workshops exhibit unique thermal issues owing to heat-producing equipment, elevated occupant activity, and intricate ventilation systems. This study consolidates simulation-based studies published from 2016 to 2025 regarding thermal comfort in educational and vocational settings. This narrative review examines the uses of Computational Fluid Dynamics (CFD), EnergyPlus, DesignBuilder, and TRNSYS. The findings indicate that while simulation tools are extensively utilized in classrooms and laboratories, their application in TVET workshops is still constrained. Some of the most important shortcomings are that equipment heat loads are too accessible, occupant activity is not extensively represented, field validation is not effective enough, and hot and humid climates are not given enough attention. The paper supports representative TVET workshop models, hybrid simulation–measurement workflows, and Education 5.0-aligned simulation technologies in vocational education.

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