cover
Contact Name
Perdana Wahyu Santosa
Contact Email
pwsantosa@gmail.com
Phone
+6281188809646
Journal Mail Official
info-its@sanscientific.com
Editorial Address
SAN Scientific Office 3 Point Building, 4th Floor, Jl. Tebet Raya No. 90, Jakarta Selatan, DKI Jakarta, Indonesia 12820
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Information Technology and Systems
ISSN : -     EISSN : 30311187     DOI : 10.58777/its
The Information Technology and Systems ITS, is an open access and peer reviewed journal whose avenue for scholarly work emphasizes using information technology, systems theory, and information analytics to study issues in the design, built, commercial, cultural, and natural contexts. The Journal offers a venue for scholarly study on applications of systems thinking, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of business environment, health administration, built environment, cultural settings, and natural environment. The journal provides a platform for professionals in the field of IT to exchange their expertise and experiences. It aims to promote discussions on the design, development, implementation, management, and assessment of diverse IT applications among practitioners, researchers, managers, and IT policymakers.
Articles 5 Documents
Search results for , issue "Vol. 3 No. 1 (2025): November 2025" : 5 Documents clear
Performance Analysis of Ensemble Learning in Sentiment Classification of BRImo App Reviews Puspita Sari, Novi
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.500

Abstract

The use of mobile banking services in Indonesia continues to increase along with the development of information technology, including the BRImo application owned by Bank Rakyat Indonesia (BRI), which has reached more than 50 million downloads and one million reviews on the Google Play Store. These reviews serve as an important data source for understanding user perceptions and experiences. This study analyzes the performance of the Ensemble Learning method for sentiment classification of BRImo reviews by combining Support Vector Machine (SVM) and Decision Tree. The data was obtained through web scraping techniques, then processed through preprocessing stages including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Next, a lexicon approach was used for sentiment labeling, while TF-IDF was used for feature extraction. The dataset consists of 8,002 reviews, split with a ratio of 80:20. The study results show that SVM achieved the highest accuracy at 92.63%, due to its strong ability to optimally separate high-dimensional text data. The Ensemble model combining SVM and Decision Tree achieved an accuracy of 89.38%, slightly lower than SVM, but still providing stable predictions. This is because the Ensemble leverages the strength of two algorithms, making it capable of reducing result variance. Meanwhile, the Decision Tree recorded the lowest accuracy at 86.45%, indicating its limitations in handling the complexity of text data. Thus, although the Ensemble does not surpass SVM, the model combination still produces a more balanced and consistent performance. This study has limitations in terms of data coverage and a lexicon approach that is sensitive to context. The findings have implications for the development of the BRImo application based on user perceptions. The novelty of the research lies in the application of the SVM–Decision Tree Ensemble in sentiment analysis of mobile banking applications in Indonesia.
Optimization of Donation Management at Daarul Multazam Islamic Boarding School Using a Laravel-Based Web Information System Junaidi, Junaidi
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.540

Abstract

Manual donation management at Pondok Pesantren Daarul Multazam poses challenges related to efficiency, reach, and transparency, which could potentially reduce donor trust. This study aims to design and develop an integrated web-based donation reception information system to address these issues. The software development methodology used is the Prototype Method, which emphasizes an iterative process through continuous evaluation with stakeholders to ensure the system built meets the real needs of users. This system is developed using a combination of modern technologies, namely the Laravel framework for the backend, Vue.js for a dynamic user interface, and Tailwind CSS for responsive design. The result of this study is a functional web donation application that has undergone a series of tests. Functional testing using the Black Box Testing method showed that all features worked as expected, while feasibility testing through User Acceptance Testing (UAT) showed a task completion success rate of 100%, indicating that the system is highly acceptable and easy to use. The limitation of this study is its focus on a single case study, and future research could explore the scalability as well as the implementation of advanced security features. The key features of the system include campaign management, online donation processes through payment gateway integration, and a crucial module, the Fund Usage Report, to enhance transparency and accountability, providing a replicable model for similar nonprofit institutions.
User Satisfaction Evaluation of ShopeePay: A Technology Acceptance Model (TAM) Approach in Analyzing Digital Wallet Service Acceptance Afriano, Ridho
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.498

Abstract

This study aims to evaluate ShopeePay user satisfaction by using the Technology Acceptance Model (TAM) approach to analyze the factors that influence the acceptance of digital wallet services. Specifically, this study assesses the impact of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Attitude Toward Using (ATU) on Behavioral Intention (BI) as well as user satisfaction in carrying out transactions through ShopeePay. The research method uses a quantitative approach by distributing questionnaires to active ShopeePay users, and data analysis is conducted using validity tests, reliability tests, multiple linear regression, and Structural Equation Modeling (SEM) to examine the relationships between variables in the model. The research results show that PU and PEOU have a significant effect on ATU and BI, while BI has been proven to be the main predictor of ShopeePay user satisfaction. These findings indicate that perceptions of ease of use and usefulness are crucial aspects in the acceptance of digital wallet services among young users. This study has several limitations, including the scope of respondents being limited to certain regions, so the results cannot yet be generalized nationally, as well as the use of basic TAM variables that do not include external factors such as security risks or application promotions. The novelty of this research lies in the integration of the TAM model to directly link behavioral intention with user satisfaction, which has not been widely studied in the context of the ShopeePay digital wallet in Indonesia. In addition, this study provides empirical contributions in mapping the psychological factors that influence the continued use of e-wallet services in the digital era
The Influence of MILI Digital Payment Service Quality on Partner Satisfaction using the Servqual Method Rivaldo, Ricky; Handrianto, Yopi
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.528

Abstract

This study investigates the influence of service quality dimensions on partner satisfaction with MILI Digital Payment, a fintech application developed by PT Jendela Prima Indonesia in 2019. MILI provides digital transaction services such as prepaid credit, internet packages, bill payments, and ticket reservations, primarily targeting micro, small, and medium enterprises (MSMEs). Despite its benefits, user complaints regarding system disruptions, limited customer service, and ineffective feature socialization highlight potential service quality issues. This research adopts a causal-associative quantitative approach using the Servqual framework, which measures service quality across five dimensions: tangible, reliability, responsiveness, assurance, and empathy. Data were collected from 100 active MILI partners in Bekasi through purposive sampling and analyzed using multiple linear regression in SPSS, following validity, reliability, and classical assumption tests. Results demonstrate that, simultaneously, all five dimensions significantly affect partner satisfaction. However, responsiveness emerges as the only dimension with a significant partial effect, suggesting that timely responses and problem-solving play a critical role in shaping satisfaction. The findings contribute both theoretically and practically by confirming the applicability of Servqual in fintech contexts and providing strategic insights for improving digital service performance. Limitations include the study’s geographic focus on Bekasi and its restricted variables. Future research is recommended to expand the scope and explore additional factors such as trust and usability.
Implementation of a Web-Based Daily Worker Recruitment Application Using the CodeIgniter 3 Framework at PT Artha Kreasi Utama Sutisna, Upay
Information Technology and Systems Vol. 3 No. 1 (2025): November 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/its.v3i1.545

Abstract

The rapid development of information technology has encouraged companies to innovate in human resource management, including recruitment processes. PT Artha Kreasi Utama, an outsourcing company that supplies labor for Lazada warehouses, faces challenges in managing the recruitment of daily workers, which is still carried out manually. This manual process results in slow administration, difficulty in tracking applicant status, and subjectivity in candidate selection. This study aims to develop a web-based recruitment information system using the CodeIgniter 3 framework to manage applicant data more efficiently. The system also implements the Multi-Factor Evaluation Process (MFEP) method to assess candidates objectively based on predetermined criteria. The development method used is Extreme Programming (XP), which allows the application to be developed quickly and flexibly according to continuously evolving needs. With the system that has been developed, the recruitment process becomes more structured, transparent, and efficient. Applicant data management is more organized, candidate assessment is more objective, and tracking and reporting of applicant status can be done in real-time. As a result, the company can obtain daily workers who meet Lazada's warehouse operational needs more quickly and accurately.

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