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Journal of Emerging Information Systems and Business Intelligence (JEISBI)
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 27743993     DOI : 10.26740/jeisbi
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science
Journal of Emerging Information Systems and Business Intelligence (JEISBI) aims to provide scholarly literature focused on studies and research in the fields of Information Systems (IS) and Business Intelligence (BI). This journal also includes public reviews on the development of theories, methods, and applications relevant to these topics. All published works are presented exclusively in English to reach a global audience of readers and researchers. The journal’s scope includes but is not limited to the following fields: Data Mining Generative Artificial Intelligence Big Data Analytics Business Intelligence Enterprise Architecture UI/UX Business Process Management Enterprise System System Development Decision Support System IS/IT Strategy and Planning IT Investment and Productivity IT Project Governance IS Business Value Audit SI/TI Cybersecurity and Risk Management IS/IT Operations and Service Management IT Ethics Organizational and Human Behavior Technology Digital Sociology
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 343 Documents
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Analysis of Business Process Improvement for Mutawwif and Tour Leader Training at Nikmatour Travel Using a Business Process Management Approach Irham Rusydiharjo; Zahwa Aisya Nabila; Aulia Rahman Ramadhan; Kemas Ibnu Sadid; Raulia Riski; Muhammad Brilliant Agung Wicaksono
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78331

Abstract

The Umrah travel industry in Indonesia continues to grow rapidly, driving the need for structured and efficient human resource training standards. However, the training process for Mutawwifs and Tour Leaders (TLs) at Nikmatour Travel is still conducted conventionally, with limited face-to-face sessions, unsystematic distribution of materials, and the absence of an automated evaluation mechanism, resulting in inefficiency and uneven competency among field staff. This study aims to analyze and redesign the Mutawwif and TL training business processes at Nikmatour Travel using a Business Process Management (BPM) lifecycle approach combined with Value-Added Analysis (VAA). Data was collected through observations and semi-structured interviews with management, instructors, and training participants at Nikmatour Travel. The as-is process was mapped using BPMN and analyzed with VAA. The analysis results showed that of the ten as-is activities, four were classified as Non-Value-Adding (NVA), five as Business Value-Adding (BVA), and one as Value-Adding (VA). The designed to-be process integrates an e-learning platform, automated notifications, digital evaluations, and real-time competency monitoring, and successfully eliminates all NVA activities.Quantitative estimates indicate a 44.3% reduction in total cycle time, from 18 hours to approximately 10 hours per training cycle, with an average BVA activity efficiency of 65%.
Service Quality Measurement Models in Electronic Government Services Dewi Rara Prameisty; Rahadian Bisma
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78518

Abstract

Advances in digital technology are driving governments to improve the quality of digital public services or as known as e-government services, necessitating appropriate models and methods to measure them. This study seeks to determine the measurement models for service quality and analytical methods used in e-government research through a Systematic Literature Review (SLR) approach. The results indicate that various models have been applied, including WebQual 4.0, E-SERVQUAL, E-GovQual, and hybrid models, with E-GovQual being the most superior and relevant model as it is tailored to assess the quality of digital public services. Additionally, various analytical methods are employed to support the service quality measurement process in alignment with the study’s objectives. These findings confirm that the selection of appropriate methods, particularly E-GovQual and suitable analytical methods, plays a crucial role in producing more accurate assessments of e-government service quality.
Web-Based Umrah Departure Quota Prediction Application UsingaMachineLearning Approach (Case Study: PT. Rahmatan BerkahWisata) Muhammad Rifqi Ardani; Ardhini Warih Utami
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 3 (2026): Vol. 07 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i3.78881

Abstract

PT. Rahmatan Berkah Wisata faces uncertainties regarding Umrah departure quotas due to capacity determination that is still conducted manually. This study aims to design a web-based quota prediction applicationutilizingMachine Learning with the Random Forest Regression algorithm, as well as to evaluate the accuracy and functionality of the system. System development employs the Rapid Application Development (RAD) method, encompassing the stages of requirement planning, user design, construction, and cutover. The research data consistsof historical pilgrim data from the 2022–2026 period, which includes the year, package name, package type, tripduration, number of pilgrims, and departure season.The results show that the Random Forest Regression model achieved a Mean Absolute Error (MAE) of 3.265, a Mean Squared Error (MSE) of 15.186, and an R-squared (R2) value of 0.707 (70.7%), demonstrating its capability to provide sufficiently accurate predictions. The model wassuccessfully implemented into a web-based application featuring Umrah data management, prediction and retraining scheduling, departure prediction, prediction reporting, and model retraining. Furthermore, functional testingusing Black Box Testing across three user roles (President Director, Operational Manager, and Pilgrim Staff) was successfully executed across all test scenarios. Based on the findings, this application can effectively serveasadecision support tool for determining Umrah departure quotas.

Page 35 of 35 | Total Record : 343

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