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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 22 Documents
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Search results for , issue "2025, Vol. 7, No. 2" : 22 Documents clear
Development of an Integrated Commodity Auction System Based on the English Auction Model for Transaction Transparency and Efficiency Syopiansyah Jaya Putra; Muhammad Akbar; Siti Saluiatu Rohmah
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.662

Abstract

Commodity Auction Markets (PLK) serve as a platform for interactions between sellers and buyers to conduct transactions through a price-bidding system. Traditionally, these auctions are held offline to facilitate transactions between farmers, farmer groups, traders, businesses, and other commodity buyers. However, conventional auctions face multiple challenges, including inefficiencies in execution time, limited access to information for buyers, and high operational costs. This study aims to design and develop an Integrated e-Auction Market System (PLT) based on the English Auction model. The system supports the entire auction process from preparation, announcement, and bidding, to winner determination and transaction finalization. System development was conducted using the Rapid Application Development (RAD) approach for planning, analysis, design, and implementation phases. Unified Modeling Language (UML) tools were utilized to model system design components.The web-based PLT system successfully integrates all auction processes efficiently and transparently. It provides stakeholders with access to commodity catalogs, session schedules, and detailed transaction information, while enabling real-time online auctions. The implementation of this system is expected to broaden commodity marketing networks, increase local government revenues, and significantly reduce auction operational costs particularly venue rental expenses.
Social Media and Content Analysis Critical Discourse Analysis of Kuali Merah Putih Episode 3 Content on Bobon Santoso's YouTube Channel Ramadhan, Rifal; Khaerudin Imawan; Rahmayanti
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.664

Abstract

The content of the Red and White Cauldron video on the Bobon Santoso YouTube Channel on March 5, 2024, is entitled "Justice Is Not Here! Merah Putih Muyu Tribe, Boven Digoel. It conveyed an interesting message by raising issues among the people of South Papua. The intentions, goals, and discourses captured in the culinary content reflect sentiments and feelings about the state of the people of South Papua through materials, including cooking activities. This study aims to analyse three aspects of the conversation: text structure, social cognition, and social context. The analysis of the critical discourse of Teun A. Van Dijk was used in this study. Auditory observation and documentation procedures are used to examine the data after the dialogue of the episode is transcribed. The analysis findings reveal a text structure built on micro, super, and macro structures. These structures support the overall discussion and include stylistic, syntactic, rhetorical, and semantic components. The social cognition analysis explores the situation of the people of South Papua, which is part of the Republic of Indonesia, from various perspectives. And in the social context, this analysis conveys that the problem in South Papua has existed for a long time and has not been seriously resolved by the Government.
Precision Medicine Through Support Vector Machines Analyzing Patient Data for Improved Drug Classification Anwar, Nanda Rosma; Pramudito, Dendy K; Effendi, Muhammad Makmun
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.627

Abstract

Selecting the appropriate medication is crucial for ensuring optimal therapeutic outcomes and minimizing adverse effects for patients. Healthcare personnel are managing an increasing volume of medical data in the digital era. Identifying swift, precise, and dependable methods for recommending appropriate medications is becoming essential. This study aims to meet this criterion by classifying drugs into appropriate categories for patient care using the Support Vector Machine (SVM) technology. The research utilized a dataset from GitHub comprising 200 patient records. These records furnish critical information regarding the patient, including age, sex, blood pressure, cholesterol levels, sodium-to-potassium ratios, and prescriptions. To maximize the use of this data, the method entails several critical steps: selecting appropriate data, meticulously cleaning and organizing it, transforming it for analytical readiness, employing SVM for data mining, and conducting a comprehensive review. The dataset is divided into two segments which are 20% is allocated for testing the efficacy of the SVM model, while the remaining 80% is designated for training the model.The primary tool for constructing the SVM model is the Google Colaboratory platform, which utilizes Python. A confusion matrix is employed to meticulously evaluate the performance of a model. It provides valuable metrics such as accuracy, precision, recall, and the F1 score. The evaluation method indicates that the SVM model holds significant potential for systematically assessing patient data due to its capability to appropriately categorize various drug types. This discovery represents a significant advancement for AI in healthcare, as it facilitates the prompt and straightforward recommendation of individualized medicines by physicians.
Analyzing Frameworks for Green IT Adoption in Organizations: A Systematic Literature Review Muhammad, Maulana; Waspodo, Bayu; Nugraha, Zahra Sabila
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.637

Abstract

Sustainability has emerged as a fundamental objective for organizations aiming to achieve the highest levels of maturity within various IT Governance Frameworks. Green IT has emerged as a concept aligned with the essence of organizational sustainability. Its primary challenge lies in the difficulty of integrating Green IT principles into the organization's business processes. Therefore, the framework employed plays a crucial role in facilitating the adoption of Green IT. This Systematic Literature Review uses Kitchenham to review various literature on the topic of Green IT adoption in organizations with a focus on their role in supporting sustainable behaviors. The review process shows the three primary frameworks, namely the Governance and Management Framework for Green IT (GMGIT), the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), and the Green IT Maturity Model. The analysis indicates that these frameworks are primarily employed in the IT services and manufacturing sectors, highlighting their effectiveness in addressing environmental sustainability, carbon emissions, and energy consumption. Gaps remain, especially in the government sector, where Green IT principles are underexplored. The research identifies challenges in executing these frameworks, specifically the tendency to favor short-term adoption strategies over long-term sustainability objectives. To enhance the success of Green IT adoption, firms at maturity levels 1-3 must initially evaluate their preparedness prior to fully integrating Green IT principles into their business processes. This study provides comprehensive insights into the frameworks utilized for Green IT adoption, including substantial recommendations for future research and practical applications in emerging domains.
Analysis of Continuance Use Intention in Mobile Banking Using the Extended Expectation Confirmation Model Eva Khudzaeva; Rinda Hesti Kusumaningtyas; Uden Agustian Hidayat; Eri Rustamadji; Chandra Wirawan
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.660

Abstract

Continuation intention refers to the user's desire to continue using a service or application in the long term after their initial experience. In the context of mobile banking applications, continuance intention is very important to maintain and increase the number of active users, as well as maintain customer loyalty. Although mobile banking can facilitate financial transactions, there are still complaints from users with many negative reviews on the Play Store and App Store regarding the problematic OTP verification and delivery process. This study aims to identify variables that influence the continuance intention to use mobile banking. This study uses the ECM research method to examine the factors that influence the intention to continue using mobile banking. This study tested nine hypotheses, with the results of seven hypotheses accepted and two hypotheses rejected, namely the relationship between trust → satisfaction with a t-test result of 0.755 and confirmation → satisfaction with a t-test result of 0.351. It is expected that the results of this study can provide recommendations to mobile banking parties to improve services and increase user satisfaction, thereby maintaining the loyalty of mobile banking users. In addition, this study can be a reference for quantitative research in the field of mobile banking and contribute to the development of strategies and policies to improve user experience.
Machine Learning-Based News Classification: Comparison of KNN Accuracy with Hyperparameter Tuning Muhamad Nur Gunawan; Nuryasin; Syopiansyah Jaya Putra; Sarah Arhami
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.661

Abstract

This study aims to develop an automatic news text classification system using the K-Nearest Neighbor (KNN) algorithm with a hyperparameter tuning approach. Manual classification by editors is considered inefficient, so an accurate and lightweight automated approach is needed. News datasets were obtained through web scraping of bbc.com sites with five main categories, namely business, technology, entertainment, science, and health. This research follows the CRISP-DM methodology which consists of six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Feature representation is done using TF-IDF and preprocessing includes stopword removal as well as pattern-based noise cleaning. Two experimental scenarios were performed: first, using complete data without balancing; Second, using more balanced undersampling data. Hyperparameter tuning was performed with k-value variations from 1 to 50 and validated with 5-fold cross-validation. The results showed that the model with balanced data and a value of k=11 produced an accuracy, precision, recall, and F1-score of 95%. The system was also successfully implemented into a Flask-based web application that can be used by news editors for real-time text classification. This study emphasizes the importance of parameter optimization and preprocessing in text classification and shows that simple algorithms such as KNN remain competitive if supported by good data processing.
Liquidity Risk Management in Corporate Finance: Strategies for Financial Resilience Adzka Rosa Sanjayyana; Irsyad Kamal; Muhammad Rispan Affandi; Medeilia Bernike Br Ginting; Abdul Rosid
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.677

Abstract

Liquidity risk management is one of the crucial aspects in maintaining the operational continuity and financial stability of companies. This study aims to explore various strategies employed by Indonesian companies in managing liquidity risk, as well as their impact on financial resilience. The main focus of this research includes cash flow management, financing source diversification, technology utilization, debt management, and the use of hedging strategies. The research findings show that companies with effective liquidity management strategies, such as the use of cash flow projections and cloud-based technology, are more resilient in uncertain market conditions. Furthermore, financing diversification through revolving credit, capital markets, and equity provides flexibility in accessing the necessary funds during liquidity crises. Managing debt with a balance between short-term and long-term debt also plays an important role in reducing liquidity pressure. On the other hand, hedging against exchange rate and interest rate fluctuations using derivative instruments helps companies mitigate external risks that could affect their liquidity. The study concludes that the implementation of these strategies is essential in maintaining liquidity stability and the competitiveness of companies in the face of global economic challenges. Therefore, companies need to develop adaptive and sustainable liquidity management policies to face future economic uncertainties.
Digital Innovation in the Transformation of BPR: Building a Sustainable Financial Ecosystem in the Era of Disruption Annisa Fitriah Mudassir; Muhammad Khaidir Kahfi Natsir
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.678

Abstract

In the continuously evolving digital era, the financial sector, particularly Rural Credit Banks (BPR), faces significant new challenges and opportunities. Digital transformation is not merely a trend but an urgent necessity to ensure the sustainability and competitiveness of financial institutions amid technological disruptions. The research method used is a qualitative approach with literature study techniques, involving data analysis from various sources, including official documents, scientific articles, and observations of BPR practices in the field. The results indicate that digitalization can significantly improve the operational efficiency of BPR, expand access to financial services for the community, and build an inclusive and sustainable financial ecosystem. Digital innovations, such as the development of mobile banking applications and the use of analytical technology, enable BPR to reach segments of society that were previously underserved by formal financial institutions. However, despite the great potential offered by digital innovations, many BPR still face various challenges in their implementation. This research identifies several key barriers, including a lack of understanding of technology among management and staff, inadequate information technology infrastructure, and regulatory challenges that hinder the adoption of new technologies. Additionally, findings highlight the importance of training and skill development for BPR employees to adapt to rapid digital changes. This research also emphasizes the need for collaboration between BPR and financial technology (fintech) companies and other institutions to create a mutually supportive ecosystem. Through this cooperation, BPR can leverage existing innovations to enhance service quality and expand market reach. The results of this study are expected to contribute significantly to the understanding and practice of digital innovation in the financial sector, as well as serve as a reference for stakeholders, including regulators, academics, and practitioners in the financial field, in formulating policies and strategies that support the development of BPR in Indonesia.
An Empirical Study on the Influence of Financial Literacy on Personal Financial Management among University Students in Indonesia Putri Ratnasari; Rizka Aisyah Nurjannah; Yulianti Karoma
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.679

Abstract

This study aims to analyze the impact of financial literacy on personal financial management among university students in Indonesia. Additionally, this study explores the role of digital technology usage in enhancing students' personal financial management. Using a quantitative descriptive approach, data was collected through a survey distributed to students from various universities in Indonesia. The results indicate that financial literacy significantly influences students' personal financial management. Students with higher financial literacy are more likely to manage their budgets effectively, save regularly, and avoid excessive debt. Furthermore, the use of digital technology such as mobile banking apps and digital wallets has been shown to improve students' personal financial management by making it easier for them to track expenses and monitor budgets in real-time. However, demographic factors such as gender and age did not show a significant effect on students' personal financial management in this study. The findings suggest that increasing financial literacy and utilizing digital technology can enhance students' personal financial management. Therefore, it is crucial for universities and policymakers to design more effective educational programs on financial literacy and digital technology so that students can better manage their finances. This research provides valuable insights for the development of financial education curricula that are relevant to the financial challenges faced by students in the digital age.
Integration of Strategic Management and Organizational Culture in Enhancing Corporate Resilience in the Digital Era Loso Judijanto; Titis Sri Wulan; Otje Herman Wibowo; Rean Mitasari; Andreas Recki Prasetyo
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.680

Abstract

The rapid advancement of digital technology has transformed the global business landscape, presenting both opportunities and challenges for organizations. This study examines the integration of strategic management and organizational culture as a critical factor in enhancing corporate resilience in the digital era. Using a qualitative case study approach, data were collected from selected medium- and large-scale companies in Indonesia across diverse sectors, including manufacturing, technology, finance, and services. The findings reveal that strategic alignment between digital initiatives and cultural values significantly strengthens organizations’ adaptability to technological disruptions and market uncertainties. The study highlights the pivotal role of digital leadership in bridging strategic objectives with cultural practices. Leaders who promote innovation, collaboration, and flexibility were found to inspire employees to engage in continuous learning and proactive adaptation, thereby reinforcing resilience. Moreover, organizations with adaptive and innovation-driven cultures demonstrated greater capability in responding quickly to market changes and crises. Human resource practices aligned with cultural values further enhanced employee engagement and commitment, supporting the implementation of strategic initiatives effectively. In addition, the use of digital tools such as cloud-based systems and predictive analytics, combined with transparent communication with stakeholders, was identified as a key enabler of resilience. These tools not only improved operational efficiency but also strengthened stakeholder trust, ensuring continued support during uncertain times. Overall, the integration of strategic management and organizational culture, supported by digital leadership and technology, creates a comprehensive framework for building sustainable resilience. The study offers valuable insights and practical recommendations for organizations seeking to adapt and thrive in an increasingly dynamic and competitive digital business environment.

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