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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas Indonesian Journal of Information System JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Journal of Economics, Business, and Government Challenges Jurnal Repositor Jurnal Layanan Masyarakat (Journal of Public Service) Nusantara Science and Technology Proceedings KLIK: Kajian Ilmiah Informatika dan Komputer Dharma: Jurnal Pengabdian Masyarakat Biner : Jurnal Ilmiah Informatika dan Komputer ILTEK : Jurnal Teknologi Jurnal Ilmu Komputer dan Sistem Informasi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Prosiding Seminar Nasional Indonesia
Arista Pratama
Department Of Informatics System, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Surabaya, East Java
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Journal : bit-tech

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Evaluating the Success of the Mobile JKN Application through the DeLone & McLean Framework Lintang Firdaus; Arista Pratama; Anita Wulansari
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2501

Abstract

The JKN mobile app is a digital platform developed by BPJS Kesehatan to help users access information and manage their membership independently. This research assesses the effectiveness of the application by employing the framework developed by DeLone and McLean, which includes aspects such as the quality of the system, the quality of information, the quality of service, and the intention to use, User Contentment, and Overall Gains. A quantitative approach was used, applying PLS-SEM for data analysis. Based on the Lemeshow formula, the minimum sample size was 384, and 400 active users of the latest app version participated. The analysis was conducted utilizing SmartPLS 4. Results show that the quality of the system and the quality of the information significantly influence user contentment and their inclination to participate. Thus, user contentment is essential in determining the perceived overall advantages. The study indicates that the app's success is more influenced by technical performance and user experience rather than service quality. This highlights the need to improve system reliability, interface usability, and information accuracy. Users tend to value fast access and functionality over support services. Continuous improvement in these areas can help increase satisfaction and long-term usage. The findings suggest that focusing on user-centered design and regular updates will strengthen digital health engagement. These insights can also serve as guidance for similar e-health initiatives in developing countries.
Evaluating ERP System Success Through the DeLone and McLean Model in Financial Organizations Muhammad Darriel Aqmal Aksana; Arista Pratama; Siti Mukaromah
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2513

Abstract

Enterprise Resource Planning (ERP) systems play a crucial role in streamlining business operations and enhancing organizational efficiency. However, their success largely depends on effective user engagement and system utilization. Despite being strategically implemented to support daily operations, many ERP systems face challenges such as technical errors, sluggish performance, inaccurate data, and poor user interfaces—factors that hinder optimal usage and reduce employee productivity. This study evaluates the success of an ERP system implemented in a financial services organization in Indonesia, focusing on employee perspectives to understand critical factors influencing system effectiveness. The DeLone and McLean Information Systems Success Model (ISSM) is employed as the theoretical framework, assessing six core constructs: System Quality, Information Quality, Use, User Satisfaction, Individual Impact, and Organizational Impact. A quantitative survey was conducted with 325 respondents selected through simple random sampling from key operational divisions. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The results confirm that Information Quality has a significant effect on both system Use and User Satisfaction, while System Quality strongly affects User Satisfaction. Furthermore, User Satisfaction substantially influences both Use and Individual Impact. Most critically, Individual Impact has a pronounced and statistically significant influence on Organizational Impact (R² = 0.745). These findings emphasize the pivotal roles of information accuracy and user satisfaction in ensuring ERP success. The study provides valuable insights into how employee experience with ERP systems translates into broader organizational outcomes, offering practical implications for future ERP development and implementation strategies.
Measuring User Satisfaction of iPusnas Through the End-User Computing Satisfaction Model Khoirunisa Jannatuzzahra; Arista Pratama; Asif Faroqi
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2523

Abstract

iPusnas serves as Indonesia’s national digital library platform, offering free access to electronic books for the general public. This research aims to evaluate user satisfaction with the iPusnas application by employing the End-User Computing Satifactions (EUCS) model, which comprises five main constructs: content, acuracy, format, ease of use, and timelines, along with two additional dimensions—system speed and system reliability. The study involved 450 participants selected through purposive sampling. Data analysis was conducted using the Partial Least Squares Structural Equations Modeling (PLS-SEM) technique with the assistance of SmartPLS 4 software. The findings indicate that six variables—content, ease of use, format, accuracy, system speed, and system reliability—have a statistically significant and positive impact on user satisfaction. This suggests that a higher level of perceived quality in these six areas corresponds to greater satisfaction among users. On the other hand, timeliness was found to have a significant yet negative influence. These results suggest that delays in delivering content or in system responsiveness remain key issues that negatively affect user experience. Accordingly, this study recommends enhancing system performance, particularly in terms of timeliness to improve user satisfaction and the overall experience. Strengthening these areas is also anticipated to contribute to increased user engagement and further the national objective of expanding digital literacy and equitable knowledge access across the country.
Analysis of Ajaib Application Acceptance Using the UTAUT 2 Model Muhammad Aldi Pratama; Arista Pratama; Anita Wulansari
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2619

Abstract

The rapid advancement of digital technology has greatly expanded investment platforms, especially in the stock and mutual fund sectors. The Ajaib application facilitates easy mobile investing while offering tools and educational resources to help users understand financial markets. This study examines the factors influencing the adoption of Ajaib, utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. A quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze data from 400 active Ajaib users. The results reveal that Performance Expectancy, hedonic motivation, price value, social influence, and enabling conditions positively affect adoption. However, Trust and Effort Expectancy were found to have no significant impact on adoption decisions. This suggests that users prioritize the app's performance, social influence, and user experience over trust or ease of use. The study was conducted in Indonesia's fintech market, focusing on the behaviors of Indonesian users. While the findings provide valuable insights into adoption in emerging markets, their generalizability may be limited by socio-economic or cultural differences. Future research should examine demographic factors such as income, age, and education to better understand adoption patterns in various contexts.
Evaluate the Intentions and Behaviors of Live Streaming Feature Users with the UTAUT Model Athallah Rafif Cahyono; Arista Pratama; Virdha Rahma Aulia
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2632

Abstract

The rapid advancement of digital innovation in Indonesia's e-commerce industry has encouraged the widespread adoption of live streaming features such as Shopee Live, which enable real-time interaction between sellers and buyers. Despite the growing popularity of this feature, limited research has investigated the behavioral factors that drive its sustained use, particularly by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the construct of trust. This study aims to evaluate users’ behavioral intentions and actual usage of Shopee Live by applying the UTAUT model, extended with the trust variable to better capture the dynamics of live streaming-based commerce. A quantitative approach was employed through an online survey distributed to Shopee users with prior experience using the live feature. Using purposive sampling, a total of 215 valid responses were collected, with a response rate of 86%. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results show that Effort Expectancy, Social Influence, Price Value, Habit, and Trust significantly affect behavioral intention, while Performance Expectancy, Facilitating Conditions, and Hedonic Motivation do not. Furthermore, Habit, Trust, and Behavioral Intention significantly influence actual usage behavior. This study contributes to the e-commerce literature by extending the UTAUT framework with trust in the specific context of live streaming. The findings emphasize the stronger role of trust and social factors over utilitarian and entertainment considerations. E-commerce platforms should focus on strengthening user trust, promoting ease of use, and encouraging habitual usage to increase engagement with live commerce features.
Adoption of ShopeePay Among Indonesian Gen Z Women: A UTAUT-Based Evaluation Nadilla Anidew; Arista Pratama; Asif Faroqi
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2840

Abstract

This study investigates factors influencing the adoption and utilization of ShopeePay, a digital wallet integrated within the Shopee e-commerce platform, among Generation Z women in Indonesia. Given this demographic group's active engagement in digital transactions, identifying key behavioral factors underlying their adoption of mobile payment technologies is essential. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT), this research examines core determinants of behavioral intention toward ShopeePay, additionally incorporating trust, perceived security, and network externalities into the analytical framework. Employing a quantitative research methodology, the study utilized an online structured survey involving 160 female respondents aged between 18 and 27 years who actively use ShopeePay. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS version 4.1.0.9. Findings demonstrate that performance expectancy, social influence, and perceived security significantly and positively affect behavioral intention to adopt ShopeePay. Trust indirectly influences intention through its impact on performance expectancy. Interestingly, effort expectancy and facilitating conditions did not demonstrate significant direct effects on behavioral intention. These results underscore that Gen Z female users prioritize application performance, social recommendations, and perceived safety when selecting digital payment solutions. Practically, these insights inform e-wallet developers and marketing professionals in designing targeted functionalities and marketing strategies aligned with user expectations and digital habits. Moreover, this study contributes to existing academic literature on mobile payment adoption and offers strategic implications for enhancing user acceptance, particularly among young female consumers in Indonesia.
Performance Analysis of Reasoning Models in RAG-Based Question Answering System for University Admission Services Muhammad Surya Adhi Setiawan; Arista Pratama; Prasasti Karunia Farista Ananto
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3707

Abstract

Access to accurate, relevant, and timely information is crucial for prospective university students; however, conventional information services often struggle with high query volumes and the risk of generative hallucinations in automated systems. This study investigates whether reasoning-oriented large language models provide measurable improvements in response quality within a Retrieval-Augmented Generation (RAG) architecture for university admission services. The study hypothesizes that internal chain-of-thought reasoning improves factual grounding compared with non-reasoning models under identical retrieval conditions. A vector-based institutional knowledge base was constructed from 30 official admission sources using VoyageAI embeddings and evaluated on a multilingual dataset of 353 real-world inquiries in Indonesian, English, and Javanese dialects. To isolate the effect of reasoning capabilities, retrieval outputs and prompt configurations were controlled across all models. Performance was evaluated using the RAGAS framework across six models categorized as reasoning (DeepSeek-R1, Gemini-2.5-Flash, o4-mini) and non-reasoning (DeepSeek-V3, Gemini-2.0-Flash, GPT-4o-mini). The results show that reasoning models achieved a higher average RAGAS score (0.7772) than non-reasoning models (0.7289), representing a 6.63% improvement, with the largest gain observed in factual correctness (+15.95%). Additional multilingual benchmarking confirmed that reasoning models maintain more stable performance across languages. Gemini-2.5-Flash achieved the highest composite score (0.8207) while maintaining favorable cost efficiency. These findings indicate that reasoning-enabled models significantly improve factual reliability in domain-specific RAG systems, although overall system performance remains strongly dependent on retrieval quality.
Co-Authors Achmad Bias Firmansyah Agung Brastama Putra Amanda Paramita S. Ananda Devi Muri Utomo Andre Yusuf Trisna Putra Anindo Saka Fitri Anita Wulansari Anna Vita Angelina Naibaho Artanto, Aphief Tri Asif Faroqi Athallah Rafif Cahyono Ayu Ithriah, Syurfah Bayu Wibisono, Aryo Belinda Ingridina Chairunnisa, Zulfa Firnanda Cyndya Nandhany Devita Fahliza Ulfa Devita Fahliza Ulfa Dimas Febri Armanda Endang Sholihatin Erista Maya Safitri Erwan Adi Saputro Faradila Kusuma Dewi Hidayatul Aini Puteri Hil Dina Mulya Dewi Indrawati Yuhertiana Iqbal Mahendra Ivana Elfirdaus Kevin Khanza Pangestu Khoirunisa Jannatuzzahra Krisya Khoiriyah Kusumantara, Prisa Marga Laksmi Diana Lintang Firdaus Mandyartha, Eka Prakarsa Masykuri Latief Mochamad Rafi Djaenal Pratama Muhammad Adiarsyah Syainal Muhammad Aldi Pratama Muhammad Darriel Aqmal Aksana Muhammad Ikhlasul Amal Akbar Muhammad Surya Adhi Setiawan Nadilla Anidew Nanang Haryono Naufal, Rifqi Nurisa Rahma Shantika Parlika, Rizky Prasasti Karunia Farista Ananto Ridwandono, Doddy Rizki Parlika Rizky, Ahmad Virdauzy Roziana Febrianita Safitri Pradhista Suwandi Savira Narita Rachman Sidiq Satria Tama Sukarno, Gendut Sukirmiyadi, Sukirmiyadi Taqiya, Namira Abda Tri Lathif Mardi Suryanto Tri Puspa Rinjeni Virdha Rahma Aulia Virdha Rahma Aulia Wijaya, Devan Cakra Mudra Yessy Arye Yustraini