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Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
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Articles 11 Documents
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Search results for , issue "Vol. 8 No. 1 (2026): February" : 11 Documents clear
Penerapan Web Content Accessibility Guidelines dan Design Thinking dalam Perancangan UI/UX Aplikasi Ujian Online Henim, Silvana Rasio; Hidayat, Erzi; Saf, Maksum Ro'is Adin
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.701

Abstract

The most significant change in education due to the pandemic is the implementation of online evaluation methods. Online exams provide students with the flexibility to take tests from any lo-cation. Although online examinations offer flexibility for learners to participate from any loca-tion, their implementation still faces various challenges, such as the potential for cheating, tech-nical disruptions, and limited accessibility for users with diverse physical conditions and digital competencies. These issues highlight the need for designing online examination interfaces that are not only easy to use but also inclusive. This study aims to design the user interface and user expe-rience by employing the design thinking approach and applying the Web Content Accessibility Guidelines (WCAG) to enhance interface accessibility starting from the design phase. The WCAG 2.0 standard, developed by the W3C, is applied as a guideline for meeting accessibility require-ments. The WCAG principles implemented include perceivability, operability, understandability, and robustness. Usability testing on the prototype was conducted using the System Usability Scale (SUS), scoring 69. This score indicates that the designed prototype falls into the "marginal high" category within the acceptability range. Accessibility testing using Axe for Designers indi-cated that, overall, the prototype met accessibility requirements. The results also show that inte-grating WCAG 2.0 principles during the design stage effectively enhances the accessibility of the user interface.
Analisis Kesiapan Pengguna di Indonesia dalam Adopsi Teknologi Blockchain Pada Platform Pertukaran Kripto Menggunakan TRI Nurjanah, Sri Putri; Herliana, Asti
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.803

Abstract

The use of blockchain technology on cryptocurrency exchange platforms in Indonesia has experi-enced notable growth, yet challenges persist concerning user preparedness and preferences be-tween domestic and international platforms. This research seeks to explore the factors influencing users’ selection of crypto platforms and to evaluate the technological readiness of Indonesian us-ers by integrating the Technology Readiness Index (TRI) with an information technology adop-tion framework. The study employed purposive sampling to gather data from 156 active crypto platform users. Quantitative data analysis was performed using PLS-SEM through SmartPLS version 4.0. Findings indicate that the majority of respondents are young adults aged 17 to 25, predominantly male, and show a preference for international platforms due to their innovative capabilities, greater liquidity, and lower transaction fees. Nonetheless, local platforms remain attractive because of easier accessibility and enhanced regulatory backing. Structural model re-sults demonstrate that optimism, innovativeness, and insecurity significantly influence user readiness, whereas discomfort does not have a meaningful impact. Moreover, user readiness stands out as a critical factor strongly facilitating blockchain technology adoption on crypto ex-changes. This study validates the combined application of the TRI and IT adoption models as ef-fective tools for pinpointing key determinants of blockchain adoption readiness, offering strategic insights for developers of local platforms and serving as a foundation for future research on blockchain implementation in Indonesia.
Implementasi Model Machine Learning untuk Deteksi Phishing dengan Pendekatan Ekstraksi Fitur yang Dioptimalkan Pradana, Adam; Susanto, Susanto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.881

Abstract

Phishing is a common form of cybercrime used by digital criminals to steal sensitive information such as passwords, personal data, and financial details through fake websites designed to re-semble legitimate pages. However, conventional detection methods such as blacklists and manual inspection are currently considered ineffective due to their static nature, often failing to recognize new, evolving and increasingly sophisticated attack patterns. To address this issue, this study developed a machine learning-based phishing detection model focused on improving the accura-cy and efficiency of identifying malicious sites. This model applies an optimized feature extrac-tion technique to enable the system to analyze URL characteristic patterns more comprehensively and targeted. The research dataset was taken from the Kaggle platform, which provides a dataset of phishing and benign URLs with a high reputation. The data was then processed through nor-malization, cleaning, and extraction of important features such as URL structure and domain at-tributes. The classification process was carried out using an ensemble learning approach that combines four popular algorithms: Random Forest, Gradient Boosting, Logistic Regression, and AdaBoost through a soft voting mechanism. The evaluation results show that the proposed model has excellent performance with an accuracy of 98.10%, a precision of 97.81%, a recall of 93.90%, an F1-Score of 95.82%, and a ROC-AUC of 98.62%. These findings confirm that the ensemble ap-proach with optimized features has great potential for application in artificial intelligence-based cybersecurity systems capable of adaptive and real-time phishing detection.
Perancangan Enterprise Architecture Aplikasi Manage Personal Finance dengan Framework TOGAF dan PEAF Siahaan, Mangapul; Yulsen, Yulsen; Firmansyah, Muhammad Dody
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.889

Abstract

The development of information technology encourages the use of the Manage Personal Finance application as a more systematic and data-driven financial management tool. However, in prac-tice, the application still faces various problems, such as an unintegrated financial recording pro-cess, limited system architecture documentation, and the absence of an enterprise architecture framework that best suits business needs and long-term development. These problems have the potential to cause the system to be out of alignment with the organization's strategic objectives and difficult to develop sustainably. This study aims to: (1) design an enterprise architecture for the Manage Personal Finance application using the TOGAF ADM 9.2 framework; (2) produce an integrated business, data, application, and technology architecture blueprint; and (3) compare the effectiveness of the TOGAF and PEAF frameworks quantitatively based on five indicators, namely alignment with business needs, completeness of documentation, implementation speed, scalability, and resource requirements. The research method used is the design of an enterprise architecture based on TOGAF ADM, followed by a comparative analysis of the PEAF framework as an alternative, more pragmatic approach. The results of the study indicate that TOGAF excels in 3 out of 5 indicators (60%), namely business needs alignment, completeness of documentation, and system scalability, while PEAF excels in 2 indicators (40%), namely speed of implementation and resource efficiency. These findings indicate that TOGAF is more suitable for the development of Manage Personal Finance applications that have high complexity and long-term orientation. Thus, this study provides an empirical contribution in selecting the optimal enterprise architec-ture framework for the development of integrated and sustainable financial systems.
Perancangan dan Implementasi Sistem Pengelolaan Order Barang Berbasis Web dengan Laravel Anggraini, Nabela Yulian; Susanto, Susanto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.890

Abstract

CV. Surya Sarana Dinamika currently faces significant operational inefficiencies due to its man-ual, paper-based order management process. These challenges lead to frequent data recording errors, substantial delays in information flow, and a critical lack of real-time visibility regarding order status, which ultimately hinders effective administrative decision-making. This study aims to address these systemic issues by designing and implementing a web-based order management system utilizing the Laravel Framework. The system was developed using the Agile Development methodology, employing iterative cycles to ensure that the final product remains aligned with dynamic business requirements. The architecture is built upon the Model-View-Controller (MVC) pattern to ensure code scalability and long-term maintenance ease. Functional validation via Black-Box testing confirms that all core features, including order submission and purchasing validation, operate according to specifications. Quantitatively, the implementation resulted in a drastic efficiency increase; the average time for order submission decreased from 20-25 minutes to just 3-5 minutes (an efficiency gain of over 75%), while purchasing validation time was re-duced from 30-60 minutes to 5-10 minutes. These findings demonstrate that digital automation effectively eliminates manual bottlenecks and reduces the risk of human error. By providing cen-tralized data and real-time tracking, the system significantly enhances accountability and trans-parency within the company’s supply chain, providing a replicable model for digital transfor-mation in similar organizational contexts..
Pengembangan Katalog Interaktif Aksesoris Pernikahan Adat Sumatera Selatan Berbasis Augmented Reality Darlies, Meiyi; Andri, RM Chairil; Utama, Liza; Indasari, Dewi
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.893

Abstract

The preservation of local culture faces serious challenges, particularly among younger genera-tions who tend to view traditional clothing merely as ceremonial costumes without understand-ing the cultural values they embody. To address this issue, this study aims to develop a visuali-zation media based on Augmented Reality (AR) in the form of a catalog of South Sumatran wed-ding attire accessories, accompanied by cultural narratives as an educational effort and a means of digitally preserving traditional heritage. The research employs a Design-Based Research (DBR) approach, starting from the collection of cultural data, content development, and AR ap-plication prototyping, to user testing with target participants. Results indicate a 32% increase in cultural understanding, an average usability score of 82.5 (excellent), and positive user responses toward interactivity, 3D visualization, and contextual audio narration. Qualitative analysis re-veals increased interest in local culture and favorable perceptions of AR as an educational me-dium. These findings confirm that the use of a digital catalog and AR is effective as an interactive, informative, and engaging learning tool that supports the preservation of local cultural heritage.
Rancang Bangun Sistem Informasi Pendaftaran Siswa Baru Berbasis Web dengan Metode Waterfall pada TK Pertiwi 14 Romadhoni, Gilang Akbar; Susanto, Susanto; Handayani, Titis
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.895

Abstract

The transformation of information technology in the modern era provides significant opportunities to improve the effectiveness of educational administration, particularly in the new student admission process. One form of implementation is a web-based registration system that can automate the online registration flow and minimize data recording errors. Pertiwi 14 Kindergarten currently still uses the conventional registration method through paper forms that require parents to be present in person at the school, potentially causing verification delays, information duplication, and data input errors. This study aims to design and build a web-based new student registration system using the Laravel framework with Laravel Filament support to display a dynamic interface and structured data management. The system development uses the Waterfall model through the stages of needs analysis, design, implementation, testing, and maintenance. Testing results using Black Box Testing show that all system functions run according to specifications without any errors and are able to reduce input errors by up to 100% compared to manual methods. In addition, the registration data verification process is faster with an increase in time efficiency of 70%. The implementation of this system makes a real contribution to improving ease of access, data accuracy, management transparency, and administrative efficiency in the new student admission process at Pertiwi 14 Kindergarten.
Pengembangan Platform Intervensi Status Gizi Ibu Hamil Berbasis Integrasi Case-Based Reasoning dan Teori Dempster–Shafer Nasri, Muhammad Haris; Hammad, Rifqi; Pratama, Gede Yogi
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.905

Abstract

Nutritional problems among toddlers and pregnant women remain a major public health issue in Indonesia, necessitating a decision-support system capable of providing rapid and accurate nu-tritional diagnosis and intervention. This study develops an expert system integrating Case-Based Reasoning (CBR) and the Dempster–Shafer theory to diagnose the nutritional status of toddlers and pregnant women. The CBR method is employed to identify solutions for new cases based on similarity to previous cases, while the Dempster–Shafer theory is utilized to handle un-certainty and combine multiple forms of evidence derived from anthropometric, clinical, and health history parameters. The system was tested using 20 cases involving variables such as body weight, height, mid-upper arm circumference (MUAC), hemoglobin level (Hb), gestational age, and dietary intake. The results indicate that the system achieved an accuracy of 90%, an average confidence level of 82.7%, and a diagnostic precision of 88% when compared to expert nutrition-ists’ assessments. Diagnostic discrepancies occurred in only two cases (10%), both of which ex-hibited parameter values near the classification thresholds. These findings demonstrate that the integration of CBR and the Dempster–Shafer theory enhances the reliability of expert systems in generating accurate and measurable nutritional diagnoses despite data uncertainty, and shows strong potential as a decision-support tool for nutritionists in providing faster, more objective, and evidence-based nutritional interventions.
Evaluasi Teknik Prompting pada Large Language Model untuk Otomatisasi Penyusunan Skenario Unit Testing Smart Contract El Farisi, Salman; Marva, Fahlia Athiyya
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.912

Abstract

Automated unit testing is essential for ensuring the security and reliability of smart contracts, particularly because their immutable nature prevents post-deployment modifications. However, manually creating test scenarios remains time-consuming, costly, and highly dependent on expert knowledge. A potential solution is to utilize AI technology, particularly Large Language Models (LLMs), to automatically generate test scenarios. This study fills the research gap in leveraging LLM technology in the software testing space by proposing a workflow for automatically gener-ating unit test scenarios for blockchain smart contract code using Large Language Models (LLMs). The proposed workflow consists of two stages: converting Solidity smart contracts into structured Gherkin scenarios and translating those scenarios into executable Hardhat unit test scripts. This study proposes an automated workflow using Large Language Models (LLMs) to address these challenges. The workflow consists of two stages: con-verting Solidity smart con-tracts into structured Gherkin scenarios and trans-lating those scenarios into executable Hardhat unit test scripts. Using the Gemini 2.5 Pro model, the research evaluates three prompting tech-niques such as Chain-of-Thought, Few-Shot, and Role-Based through quantitative analysis based on code coverage metrics, including Statements, Branches, Functions, and Lines. The experimental results show that Role-Based Prompting achieves the highest average coverage (92.02%), fol-lowed by Few-Shot Prompting (89.52%), while Chain-of-Thought produces the lowest coverage (78.79%). Role-Based Prompting also attains the highest Branch coverage, demonstrating superi-or capability in capturing conditional logic within smart contracts.
Perancangan Sistem Rekapitulasi Data Order Menggunakan Bot Otomatis pada Layanan Indihome Aqilah, Syifa; AR, Khairan
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.937

Abstract

This study discusses the design of a data order recap system using an automated bot for Indi-Home services from PT Telekomunikasi Indonesia (Telkom). IndiHome is a fiber optic-based communication service that provides home telephone, cable television, and internet facilities. With the growth of customers, the need for an efficient order management system becomes important because manual processes often lead to delays, recording errors, and difficulty in monitoring or-der status in real-time. A Telegram-based automated bot is proposed as a solution to automate the process of recording, reporting, and monitoring order data, thereby improving the speed, ac-curacy, and transparency of order management. The research method used is Research and De-velopment (R&D) with the stages of observation, design, creation, testing, and product validation. The evaluation results from 30 respondents, consisting of 1 team leader, 3 admins, and 26 salespeople, showed that this bot system is very effective and efficient, with a 100% success rate for the 1 team leader and 3 admins, while the trial conducted with the 26 salespeople achieved a 97.71% success rate. This system provides convenience, reduces manual errors, speeds up the follow-up process, and improves team coordination in managing IndiHome orders. Therefore, this recap bot has the potential to become the new standard in order data management.

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