cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
jaist@mail.unnes.ac.id
Phone
-
Journal Mail Official
jaist@mail.unnes.ac.id
Editorial Address
Sekaran, Kec. Gn. Pati, Kota Semarang, Jawa Tengah 50229
Location
Kota semarang,
Jawa tengah
INDONESIA
Journal of Advances in Information Systems and Technology
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 2715999X     DOI : https://doi.org/10.15294/jaist
Core Subject : Science,
Library & Information Science
Journal of Advances in Information Systems and Technology (JAIST) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of advances in information systems and technology which covers 16 major areas of research that include
Arjuna Subject : Ilmu Sosial - Perpustakan dan Informasi
Articles 29 Documents
 1   2   3 
Evaluation of Success Factors for Academic Information System Applications in Higher Education Using the Hot-Fit Model Sry Dhina Pohan; Ircham Ali; Siska Ayu Widiana; Supriyanto; Yusuf Wahyu Mandaya
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.20847

Abstract

This research explored the adoption of the HOT-Fit paradigm and its influence on the success of an academic information system application in higher education. Using the PLS-SEM multivariate data analysis approach, the HOT-Fit model was evaluated in order to investigate the foundations of theory from a prediction standpoint. This was done to find out more about the model's potential applications. The HOT-Fit method takes various elements into account when performing a system analysis. Humans, organizations and technology are integrated elements and must be considered for the continued existence of an operating entity. This study uses hypothesis testing on a total of ten hypotheses to show the relationship between Academic Information System variables. The results show that six of the investigated hypotheses have a significant effect, while the other four are discarded because they are not relevant. 7.344 is the variable value of customer satisfaction. Program Features and Benefits The use of a variable with a value of 0.426 contributes little to the overall clarity of the situation. Based on the results of demo data processing, 121 participants (76.58%) reported good results, 13 (8.13%) rated this system as good, and 24 (15.19%) rated it as bad, resulting in a disparity between user expectations and the situation.
Measuring the Acceptance Level of the Warehouse Module Using the Extended Unified Theory of Acceptance and Use of Technology Model Sarmini; Budiman, Kholiq
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.9332

Abstract

This study aims to measure the acceptance level of the warehouse module within the ERP system implemented at CV Kalingga Keling Jati, utilizing the extended UTAUT model. The analyzed variables include performance expectancy, effort expectancy, hedonic motivation, trust, behavioral intention, use behavior, and one moderator variable, education. The results indicate that effort expectancy, hedonic motivation, trust, and behavioral intention significantly influence users' intention and behavior in utilizing the warehouse module. However, performance expectancy and the moderator variable education do not show significant influence. This research also highlights the importance of effective warehouse management systems to minimize errors in inventory management and enhance operational efficiency within the company. With the implementation of an ERP system integrated with IoT, CV Kalingga Keling Jati aims to improve user satisfaction and reduce resistance to new technologies. The findings provide insights for other companies considering similar technology adoptions in their warehouse management.Furthermore, the study emphasizes the need for continuous evaluation and adaptation of technology to align with user needs and organizational goals. By understanding user acceptance, organizations can better tailor their systems to enhance productivity and foster a positive technological environment. This study contributes to a deeper understanding of the factors influencing technology acceptance in the business context, particularly in the manufacturing sector, and offers a foundation for future system improvements.  
Analysis of User Behavior in Face Recognition Boarding Gate Services Towards the Satisfaction of Long-Distance Train Passengers Using the UTAUT2 Model Amaliyah, Tazkiyatun Aeni; Putra, Anggyi Trisnawan
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.9879

Abstract

In the era of Industry 4.0, the adoption of technology has become crucial for enhancing performance, efficiency, usability, and sustainability in various sectors, including transportation. PT Kereta Api Indonesia (Persero), the largest railway company in Indonesia, has implemented Face Recognition Boarding Gate technology to improve the passenger experience by simplifying the train departure process. However, the deployment of facial recognition technology in the transportation sector also raises significant concerns regarding data security and privacy. This study aims to analyze the impact of using Face Recognition Boarding Gate technology on the satisfaction of long-distance train passengers, employing the UTAUT2 model as a theoretical framework. The research utilizes a quantitative method with purposive sampling to select respondents, focusing on users aged 17 and above who have used the service at least once. A total of 166 valid responses were collected through online questionnaires. The collected data was processed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the aid of Google Colab. The analysis results stated that 7 out of 9 proposed hypotheses were accepted, corresponding to an acceptance rate of 77%. Specifically, performance expectancy, effort expectancy, and perceived security were found to have a direct positive impact on passenger satisfaction. Additionally, hedonic motivation and habit significantly influenced behavioral intention, which in turn had a positive effect on satisfaction and use behavior. The findings of this research provide valuable insights for service providers, highlighting the importance of addressing security and privacy concerns while enhancing the overall user experience. Furthermore, the study offers a useful reference for future researchers interested in exploring the adoption and impact of advanced technologies in the transportation sector.
Integration of Technology Acceptance Model and Information System Success Model to Analyze User Satisfaction and Continuity of Use in Ticket Booking on the "Access By KAI"Application Ahmad Raihan; Budi Prasetyo
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.10053

Abstract

Access by KAI is an application that focuses on ordering train ticketswhich was developed and published by PT Kereta Api Indonesia as KAIAccess since 2014. As a train ticket ordering application, the Access byKAI application has around 12,419,711 registered users with a totalnumber of users. There are 6,101,343 active ones. With that many users,the Access by KAI application currently has a rating of 1.6/5 on theAppstore and 2.2/5 on the Playstore (as of December 1, 2023). Based onthe explanatory description, this research aims to find out what variablessupport or influence user satisfaction and intentions to continue using theAccess by KAI application as a train ticket booking application. Thisresearch applies quantitative methods using an integrated informationsystem success model (ISSM) and technology acceptance model (TAM).Data collection in this research was carried out through distributingquestionnaires using Google Form by applying purposive samplingtechniques. The target respondents are Access by KAI application usersaged 17 to 65 years who have experience ordering train tickets on theAccess by KAI application. From the results of distributing thequestionnaire, 234 respondents were obtained, which was then analyzedusing partial least squares - structural equation modeling (PLS-SEM)using SmartPLS 4 software. From the research analysis carried out, theresults were that ten hypotheses were accepted and five hypotheses wererejected.
The Influence of Personal Selling and Service Quality on Jenius Application User Satisfaction and Loyalty Using the E-Servqual Model Fidya Nur Styaningsih; Abidin, Zaenal
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.13259

Abstract

This study examines the influence of personal selling and service quality in the Jenius app on user satisfaction and loyalty in Indonesia, in the context of increasing internet usage reaching 78.19% by 2023. Bank BTPN, through the Jenius app, capitalizes on technological developments to provide secure and efficient mobile banking services. Although the Jenius app is growing in popularity, various complaints related to bugs, OTP code issues, login difficulties, and transaction barriers have emerged, which may affect user satisfaction and loyalty. This study uses a quantitative method with the E-ServQual framework and Cognition Affective Behavior (CAB) theory to analyze data from 301 Jenius user respondents, which were collected through an online questionnaire using purposive sampling technique. The data was analyzed using partial least squares-structural equation model (PLS-SEM) with the help of SmartPLS 4. Of the nine hypotheses proposed, seven hypotheses were declared significant (accepted). So it can be concluded that the factors that influence the satisfaction and loyalty of Jenius application users are service quality (SQ) which consists of efficiency (EF), fulfillment (FUL), and system availability (SA). In addition, personal selling (PS) only directly affects user satisfaction (SAT), and user satisfaction affects loyalty (LO). Based on the accepted hypothesis, the research shows that application service quality and personal selling have a direct influence on Jenius application user satisfaction. However, user loyalty is only influenced by service quality, and not by personal selling.
Implementation of the Combination Model of Expectation Confirmation Theory and WebQual 4.0 in CRM Analysis of Post-Pandemic ShopeeFood Customer Loyalty Agus Bayu Pamungkas; Budi Prasetiyo
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.17946

Abstract

Online Food Delivery (OFD) is a service where consumers can order food online through a specific platform or application, and the food is then prepared by restaurants or food service providers and delivered directly to the consumer's address. Shopee is one of the largest and most popular e-commerce platforms in Indonesia, with one of its rapidly growing services being ShopeeFood, a food delivery service feature. Shopee has also expanded into several Southeast Asian countries and Taiwan since its launch in 2015. The aim of this research is to demonstrate the implementation of a combination of WebQual 4.0 and ECT in analyzing the relationship between CRM and customer loyalty and to determine the influence of the relationships among variables studied on ShopeeFood customer loyalty. This research adopts a quantitative approach with sample criteria including people from Java Island who have used ShopeeFood and are between 19-34 years old. This study obtained valid data from 186 respondents through a survey distributed via social media. The majority of respondents were female, aged 19-26, and were high school or vocational school graduates. The results show that of the 9 hypotheses tested, 7 were accepted and 2 were rejected. Among these hypotheses, several factors affecting user loyalty towards various online food delivery platforms include user satisfaction and CRM. Additionally, information quality, expectation, and CRM also influence user satisfaction. Expectation also affects confirmation. On the other hand, the tests conducted on the usability, service quality, and confirmation variables did not influence user satisfaction in this study.   
Analysis of User Readiness and Acceptance of SeaBank Indonesia Using the Technology Readiness and Acceptance Model (TRAM) Approach Ramadhan, Hibban Daffa; Efrilianda, Devi Ajeng
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.15423

Abstract

The financial sector has been significantly impacted by informationtechnology, with digital banks emerging to provide services throughdigital platforms. SeaBank Indonesia, a digital bank, offers convenienceslike online account opening, free interbank transfers, and various digitalpayment options. However, some users have reported issues with theapplication, such as login problems and slow processing times.Additionally, some conventional customers remain hesitant to adoptdigital banking due to inexperience and security concerns. This studyaims to explore factors influencing users' adoption of SeaBank Indonesiaby applying the Technology Readiness and Acceptance Model (TRAM).Using a quantitative approach with purposive sampling, the researchcollected 421 valid responses from SeaBank Indonesia users throughonline questionnaires. Data analysis employed partial least squaresstructural equation modeling (PLS-SEM). The results accepted 8 out of12 hypotheses, revealing that intention to use is directly influenced byperceived usefulness, perceived ease of use, and perceived security.Perceived usefulness is directly affected by optimism, innovativeness,and perceived ease of use, while perceived ease of use is directlyinfluenced by optimism and innovativeness. These findings provideinsights into the factors driving digital banking adoption in Indonesia,highlighting the importance of user-friendly interfaces, perceivedsecurity, and technological readiness in shaping users' intentions to usedigital banking applications like SeaBank Indonesia.
Investigating the Influencing Aspects of User Continuance Intention of Google Workspace Ecosystem in Academic Environment based on Extended Expectation Confirmation Model (E-ECM) Nabil, Faiqi; Devi Ajeng Efrilianda
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.5013

Abstract

The application of cloud software-as-a-service (SaaS) services is widely adopted to help various activities and work, including academic activities. One of the SaaS services is the Google Workspace ecosystem, which significantly transforms academic institutions and students in managing information, collaborating, and maximizing productivity. However, some users still switch back to conventional software, and there is intense market competition from similar companies. In addition, acquiring new users costs five times more than keeping existing users. Thus, this study aims to investigate the reasons or aspects that influence users to continue adopting the Google Workspace ecosystem in the academic environment. To achieve this goal, this study adopts the extended expectation confirmation model (E-ECM). This study uses a quantitative method with a purposive sampling technique to determine the sample respondents, namely active undergraduate students of Universitas Negeri Semarang who use the Google Workspace ecosystem for academic purposes. A total of 390 valid data were obtained from distributing questionnaires online. The analysis identified that satisfaction, trust, and perceived usefulness directly influence user continuance intention. Then, satisfaction is directly influenced by confirmation, institutional support, and service quality. Then, trust is directly influenced by satisfaction, system quality, and service quality. In addition, perceived usefulness is also directly influenced by confirmation. The results of this study are expected to be taken into consideration by stakeholders and future researchers.
TheRêst: An Artificial Intelligence-Based Application for Digital Transformation of Qur’anic Understanding through Adaptive Tafsir and Thematic Sermons Utama, Reiki Aziz Yoga; Ilham, Ahmad Bagas Aditya; Hakim, M. Faris Al
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.33906

Abstract

The advancement of digital technology and internet penetration has opened wide opportunities for the development of Islamic educational applications. However, most existing Qur’an applications remain static and function merely as digitized texts without adaptive features. This study introduces TheRêst, an AI-based mobile application designed to enhance Qur’anic understanding through adaptive tafsir summarization, thematic sermon generation, and contextual sermon analysis. The development followed the Agile methodology, allowing iterative design, development, and testing processes. Key features were built using Natural Language Processing (NLP) and evaluated through black-box testing and usability testing with the System Usability Scale (SUS). Functional testing confirmed that core features—such as tafsir summarization and sermon generation—performed as expected, although challenges remained in response time and long-text accuracy. Usability testing involved 20 participants, including preachers, students of Islamic studies, and general Muslim users. Results showed an average SUS score of 79.25, categorized as “Excellent,” indicating strong user acceptance and satisfaction. Qualitative feedback highlighted the clarity of the interface and the usefulness of AI-generated content, while also noting the need for faster processing. This research contributes to the field of digital Islamic education by demonstrating the feasibility of integrating AI into Qur’an applications, thus providing innovative solutions for preachers and learners. Future work will focus on refining AI models, improving performance, and adding collaborative features. Overall, TheRêst presents a significant step toward creating adaptive, user-centered digital tools that support a deeper and more contextual engagement with the Qur’an.

Page 3 of 3 | Total Record : 29

 1   2   3 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 1 (2025): April Vol. 6 No. 2 (2024): October Vol. 6 No. 1 (2024): April