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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
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Customer Lifetime Value Clustering Using K-Means Algorithm with Length Recency Frequency Monetary Model to Enhance Customer Relationship Management Chairun Nisak; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.5011

Abstract

The current era of business growth is fraught with challenges and competition due to rapid technological advancements, rapid market growth, and globalization. This research discusses customer management strategies to enhance Customer Relationship Management (CRM) at PT Digibook Sarana Promosi Indonesia, a company in the digital printing industry. With the emergence of numerous competitors in this challenging business growth era, the k-means algorithm and Length, Recency, Frequency, Monetary (LRFM) model are employed for customer clustering. The results identify two main customer groups. The first group falls into the category of almost lost or uncertain lost customers with the symbol L↓R↑F↓M↓, exhibiting low Customer Lifetime Value (CLV), suggesting a "let go" strategy to focus on more valuable customers. The second group comprises high-value loyal customers with the symbol L↑R↓F↑M↑, demonstrating high CLV, recommending an "enforced" strategy to maintain customer loyalty through loyalty programs. This research indicates that the optimal number of clusters is 2, validated using the ClValid method, with the best values on connectivity, Dunn index, and silhouette.
Exploring the Impact of Cloud Service Quality on Customer Loyalty towards Cloud Service Providers: A Stimulus Organism Response (SOR) Approach Nur Afan Syarifudin; Zaenal Abidin, S, Si., M, Cs., Ph. D.
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.5037

Abstract

Cloud computing, a versatile computing service offering processing power and data storage, presents numerous advantages including flexible payment models, expedited marketing processes, adaptable costs and capacities, cost-effective disaster recovery solutions, and enhanced global collaboration efficiency. Despite its merits, assessing cloud computing service adoption remains a challenge, especially concerning long-term factors like customer loyalty. This study endeavors to identify the determinants of user loyalty towards cloud services and assesses the predictive strength of the model. Employing a quantitative approach, the research integrates the SERVQUAL framework and the stimulus organism response (SOR) model, incorporating cloud service quality variables. Data collection, utilizing Google Forms and purposive sampling, targeted cloud service users aged 18 to 60. Analysis of responses from 286 participants was conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4. The findings reveal the acceptance of 10 hypotheses, indicating significant influence of cloud service quality variables agility, service responsiveness, reliability, scalability, security, and assurance of service on user loyalty. Additionally, customer loyalty is influenced by factors including perceived brand image, customer satisfaction, and electronic word of mouth. The PLS-SEM model tested using PLSPredict that showed good strength for overall prediction variables. This study contributes to a deeper understanding of user loyalty dynamics within the context of cloud computing services, offering insights for service providers and researchers alike.
A Periodic Review Inventory Control of Medicine at Hospital Devi Ajeng Efrilianda; Manasya Khulafa Alief Rahman
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.5954

Abstract

One of the important problems in inventory control is the problem of managing stock in the system. In the case of medicine product storage management, over inventory will lead to high storage costs and increase the risk of spoilage or expiration. While the shortage of inventory causes demand that cannot be fulfill. In addition, optimal storage management in the case of medicinal products is also an effort to create a socially responsible supply chain. Lack of product management causes products to experience stockout, resulting in low service levels at the hospital. This study aims to create a storage management model using periodic reviews so that the medicines in the hospital do not experience stockout or overstock and the hospital does not experience losses due to this. The periodic review method was chosen because it is considered capable of being a model of the problems faced by hospitals in storage. The calculation of the periodic review method requires data obtained from hospitals, such as demand data, lead time data, drug data, cost data, so the data used is primary data. After obtaining the required data, a periodic review is calculated which will become a benchmark for hospitals to place orders for medicines that have run out based on the demand for medicines and the time period from the sender of these medicines and so on 
Analysis of Factors Affecting Continued Interest in Using Online Food Delivery Features Using ECM and UTAUT2 Subhan Subhan; Afan Ismi Fauzan; Yusuf Wisnu Mandaya
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.6568

Abstract

The development of e-commerce in Indonesia itself is currently at the level of being able to provide online food delivery services, making it easier for users to order food. In addition, the Covid-19 pandemic has indirectly changed consumer behavior to avoid or reduce activities outside the home, including ordering food. This study was conducted to identify what factors influence consumers in using online food delivery services with continuance intention after the pandemic and uses a method that integrates variables from the ECM (Expectancy Confirmation Model) and UTAUT2 (Extended Unified Theory of Use and Acceptance of Technology 2). The data in this study were obtained by distributing questionnaires online on 252 online food delivery users. Meanwhile, the data analysis method uses excel for the data screening process and the SmartPLS 3 application to test the inner model and outer model. The results of this study show that the most frequently used online food delivery service application is Go-Food and is dominated by women, with an age group of 17 years to 25 years, the majority of students domiciled mostly in West Java province. Then, there are six accepted hypotheses and five rejected hypotheses. Based on the accepted hypothesis, it is found that the variable price saving orientation, habit has an effect in influencing users in using online food delivery services in continuance intention. This research is expected to provide positive input for the authorities to be able to improve the quality of service provided to users in the future.
Analysis of User Acceptance Levels of the e-Rapor System Users in Junior High Schools in Rembang District Using The TAM 3 And DeLone & McLean Yogiana Marta Dewi; Kholiq Budiman
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.8342

Abstract

Education is a human right that is important for nation development. Entering the 21st century, education must adapt to digital technology. One important innovation is the e-Report system, a web-based student grade processing application introduced by the Ministry of Education and Culture in 2017. This research aims to analyze the level of user acceptance of the e-Report system in Rembang. Regency Middle School uses the Technology Acceptance Model (TAM) 3 method and the DeLone & McLean method. This research used a quantitative approach by distributing questionnaires to teachers in four junior high schools in Rembang Regency involving 93 samples from a total of 1,201 teachers. The number of samples was calculated using the Slovin formula with a significance error level of 10%. The results of the analysis show that perceived ease of use and perceived usefulness have a significant influence on the acceptance of e-Report technology. Factors such as information quality, self-efficacy, and perceived enjoyment also influence the perceived ease and usefulness of using e-Reports. However, system quality and service quality do not show a significant influence on the acceptance of this technology. This research provides important insights into the factors that influence the acceptance and success of implementing e-Report systems in junior high schools. It is hoped that the research results can become a reference for policy makers in improving administrative efficiency and supporting the learning process through modern technology
Usability Analysis of Educational Assistance Information Systems Using the Heuristic Evaluation and End User Computing Satisfaction (EUCS) Methods. Angel Novita Sinurat; Anggyi Trisnawan Putra
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.8506

Abstract

User interface and user satisfaction are crucial components of a system that can significantly impact its usability. SIBADIK, as a web-based application used by many students as a scholarship platform, should have a high level of usability. However, there has been no specific research analyzing the usability of the SIBADIK website. Usability analysis is necessary to determine whether the website is acceptable to users or if there are issues that need to be addressed. The method used is heuristic evaluation combined with End-User Computing Satisfaction (EUCS) to measure user satisfaction levels before and after improvements. The sample was obtained using purposive sampling technique with Slovin formula at 10% margin of error, resulting in 95 samples. The research findings indicate that the SIBADIK website received a user satisfaction score of 2.92 (in the "fairly satisfied" category). The heuristic evaluation by three evaluators revealed a severity point of 3.0195 (rounded to 3), indicating a major usability problem that requires improvements. Twelve issues were identified on the SIBADIK website: 2 issues with Match Between System and Real World, 1 issue with User Control and Freedom, 2 issues with Consistency and Standards, 1 issue with Error Prevention, 2 issues with Recognition Rather Than Recall, 2 issues with Flexibility and Efficiency of Use, and 2 issues with Aesthetic and Minimalist Design. These identified problems serve as recommendations for improving the SIBADIK user interface.
The Effect of Online Customer Reviews, Perceived Value, and Perceived Trust on Purchase Intention at the Shopee Marketplace with the Technology Acceptance Model Approach Fadlil Zulfan Ishomi; Zaenal Abidin
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.8595

Abstract

The e-commerce sector in Indonesia faces intense competition among companies with similar business models. To stay competitive, e-commerce platforms like Shopee must understand the factors influencing customer purchase intention. This research explores the determinants of purchase intention in the Shopee marketplace and evaluates their significance. Using a quantitative approach and the Technology Acceptance Model (TAM) framework, this study incorporates additional variables such as online customer reviews, perceived value, and perceived trust. Data were collected through questionnaires distributed via Google Forms using purposive sampling, targeting Shopee users aged 18–40 years with at least one year of shopping experience. A total of 286 respondents participated in the study. The data were analyzed using partial least squares-structural equation modeling (PLS-SEM) with SmartPLS 3. The findings reveal that perceived usefulness, online customer reviews, and behavioral intention directly influence purchase intention. Additionally, factors such as perceived ease of use, perceived value, perceived trust, and attitude toward using have indirect effects on purchase intention. Out of 18 proposed hypotheses, 14 were supported, while 4 were rejected. These results provide critical insights for e-commerce developers and companies like Shopee to craft more effective marketing strategies, particularly those aimed at enhancing customer purchase intention.
The Service Quality Effect of McDonald’s Self-Service Technology towards Customer Loyalty: A Cognition Affective Behavior Theory Approach Muhammad Daffa Izzuddin; Zaenal Abidin
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.v7i1.8891

Abstract

Self-service technology (SST) is a technological interface that allows customers to obtain services independently. SST includes self-checkout machines, food or ticket ordering kiosks, internet services, automated gas stations, and others. The adoption of SST has been an endeavor for firms to improve service quality, enhance operational efficiency, and increase the likelihood of achieving competitive advantage gains. However, empirical evidence is needed to better understand customer expectations of SST service quality and how SST service quality impacts customer loyalty. Therefore, the purpose of this study is to examine SST service quality and its impact on customer satisfaction and customer loyalty. This study adopts the quantitative method and the self-service technology service quality (SSTQUAL) framework and cognition affective behavior theory. Data collection in this study was carried out by distributing questionnaires via google form with a purposive sampling technique, namely the target respondents were SST users at McDonald's aged 18 to 55 years. The results of the questionnaire collection obtained 285 data analyzed by partial least squares-structural equation model (PLS-SEM) with the help of SmartPLS 4 tools. Based on the results of the analysis conducted, 4 hypotheses were accepted. Self-service technology service quality variables are influenced by 5 quality dimensions such as functionality, enjoyment, assurance, design, and convenience. In addition, the self-service technology service quality variable has a positive influence on the customer satisfaction variable, which in turn positively affects customer loyalty. In other words, the service quality of self-service technology has a positive effect on customer loyalty through customer satisfaction.
Analysis of Public Awareness of Cybercrime in The Form of Adware suprih murdyantara; Kholiq Budiman
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.10769

Abstract

The development of information technology has had a big impact on human life. The impact of the development of information technology is the internet, which reaches all circles of society. The development of the internet has positive and negative impacts. The positive impact of the internet is that it helps humans get information quickly and can be reached anywhere. Meanwhile, the negative impact of the internet itself is the existence of cybercrime. There are various modes of cybercrime, one of which is the most often encountered by the public: adware-type malware, often known as malicious online advertising. The purpose of this study is to determine the factors that influence public awareness of cybercrime in adware. This research uses a quantitative method approach with sample criteria for respondents who live on Java Island with an age range of 18–45 years and actively use the internet. The data from the distributed questionnaires was processed with the partial least squares structural equation model (PLS-SSEM) using SmartPLS 4. The results obtained showed that of the 10 hypotheses that had been proposed, 8 were accepted. Based on these results, there are factors that influence public awareness of cybercrime, including the use of social media, cybercrime information and news, cybercrime law enforcement, and adware knowledge. Furthermore, adware knowledge is influenced by cybercrime information, news, and social media usage.
Analysis of Factors Affecting The Sustainability of Using Online Loan Applications Using The Information System Success Model and Expectation Confirmation Model Kevin Tito Hutahaean; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.12035

Abstract

The rapid digitization of financial services has spurred the growth of cashless lending systems, with online lending emerging as a prominent method for individuals and businesses to access funds. This trend is driven by the ease of loan application through online platforms and the challenges associated with traditional bank loans. However, online loans often come with higher interest rates compared to conventional banks, raising concerns about users' long-term engagement with these platforms. This study investigates the factors influencing the continuance intention of users in utilizing online loan applications. Employing a quantitative approach, the research integrates the Information System Success Model (ISSM) and the Expectation Confirmation Model (ECM) to examine 13 variables across 24 hypotheses. Data was collected via Google Forms, distributed through social media, targeting individuals aged 17 to 55 in Indonesia who had previously applied for online loans. After rigorous data screening, 227 valid responses were analyzed using SmartPLS. The findings revealed that out of the 13 variables, use, satisfaction, and debt attitudes significantly influence continuance intention, while other factors like perceived usefulness and impulsive buying were less impactful. Future studies should explore a broader respondent base and incorporate variables such as interest rates and urgency to provide a more comprehensive understanding of users' continued use of online loan applications.

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