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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 15 Documents
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Search results for , issue "Vol. 7 No. 1 (2026): Vol. 07 Issue 01" : 15 Documents clear
DESIGN OF LOST PILGRIM MONITORING APPLICATION WITH ANDROID LBS Ramadhani, Dwi Randi; Sisephaputra, Bonda
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.64726

Abstract

Muslims who are able, both physically and financially. However, the implementation of this worship often faces challenges, especially for pilgrims who get lost or separated from the group. Based on data, the number of pilgrims reported lost every year reaches thousands of cases, with one of the main contributing factors being overcrowding, language barriers, and complex environments. To overcome this problem, this research aims to design and develop an Android-based HajjWayFinder application by utilising the Location Based Services (LBS) method using the React Native framework and Firebase Firestore. The HajjWayFinder application is designed to assist mentors in monitoring the movement of pilgrims in real-time, tracking the location of lost pilgrims, and facilitating communication through the Panic Button feature. Using the Extreme Programming (XP) method approach, this application is developed with an iterative cycle to ensure functionality and user needs are met. Black-box testing showed that the application was able to run well, both in terms of main features and user interface. The results show that this application can reduce the time and effort required by the mentor to find lost pilgrims. In addition, this application helps improve the solemnity of the Hajj pilgrimage by minimising the stress and panic experienced by pilgrims. The implementation of this technology is expected to make a significant contribution in supporting the implementation of a more organised and effective Hajj.
Customer Loyalty through Satisfaction in Bank Jago: A TAM Based Approach with Trust, Security, and Risk Perceptions Safitri, Jauza Audy; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72122

Abstract

The rapid growth of digital banking services has encouraged users to shift toward applications that offer convenience and efficiency, such as Bank Jago. However, the account breach incident in July 2024 raised concerns about application security and potentially affected customer satisfaction and loyalty. This study aims to analyze the factors influencing customer satisfaction and their impact on customer loyalty in the Bank Jago application. The research model adopts the Technology Acceptance Model (TAM), incorporating core constructs—Perceived Ease of Use (PEOU) and Perceived Usefulness (PU)—along with additional variables: Perceived Trust (PT), Perceived Security (PS), and Perceived Risk (PR). Customer Satisfaction (CS) serves as the mediating variable, while Customer Loyalty (CL) is the dependent variable. Data were collected from 238 respondents and analyzed using Structural Equation Modeling (SEM) with SmartPLS. The results show that PEOU, PU, and PT have a positive and significant influence on CS, whereas PS and PR do not have a significant effect. Furthermore, CS has a positive and significant influence on CL. These findings highlight the extended TAM framework in explaining digital banking behavior and emphasize the crucial role of user satisfaction in driving customer loyalty.
Implementation of Xception Algorithm with Convolutional Block Attention Module (CBAM) for Waste Type Detection in Visual Images Shofa, Ahmad Khoiru; Yustanti, Wiyli
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72502

Abstract

The increasing volume of waste each year poses a serious challenge in waste management, particularly in the waste sorting process, which remains suboptimal. The lack of public awareness and limited manual sorting facilities are major obstacles to creating an effective waste management system. To address this issue, this study developed a waste classification system based on visual images by utilizing the Xception algorithm integrated with the Convolutional Block Attention Module (CBAM) to improve classification accuracy. The dataset used in this study includes various categories of organic and anorganic waste. The experiments involved several stages, including the integration of CBAM into the Xception architecture, testing different data splitting schemes for training and validation, and hyperparameter tuning using the Random Search method with 10 combinations. The model was trained using the Keras and TensorFlow libraries, and the trained model was saved in the .h5 format commonly used for deploying deep learning models into web applications. The results showed that the addition of CBAM improved the model's accuracy from 88.38% to 91.29% without significantly increasing training time. Furthermore, the best hyperparameter combination obtained from tuning was Dense = 128, Dropout = 0.3, Optimizer = Adam, and Learning Rate = 0.0001. When retrained using this configuration, the model achieved a highest accuracy of 93.37%. The best-performing model was then integrated into a Flask-based web application. This application allows users to upload images of waste through a simple web interface and instantly receive the predicted waste type classification. With the implementation of this technology, the system is expected to assist the public in sorting waste more easily and to increase active participation in environmentally conscious waste management. Keyword: Waste Classification, Xception, CBAM, Deep Learning, Flask
Analysis Of User Satisfaction Towards The Telegram Application Using The EUCS (End User Computing Satisfaction) Method Akmala, Yulius Candra; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72708

Abstract

Telegram is a messaging app that works over the cloud and focuses on being fast and secure. It has useful features like big group chats, public channels, bots, and strong security. Many people use it for talking to friends, working, and sharing information with groups. This study looked at how happy users are with Telegram and what makes them satisfied. The research used an online survey given to Telegram users who are part of the Information Systems Study Program at Surabaya State University's Faculty of Engineering. The study used a method called End User Computing Satisfaction (EUCS). The results showed that users were happy with the content (3.95), accuracy (3.91), format (3.89), ease of use (3.91), and format(3.84). The main things that really affect user satisfaction are how easy the app is to use and the format of the messages.
Information System Design For HSE Awards At PT Wijaya Karya Faisal, Muhammad Zildan; Utami, Ardhini Warih
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72717

Abstract

The Health Safety and Environment (HSE) Awards is an appreciation program by PT Wijaya Karya (Persero) Tbk for projects that successfully implement occupational safety, health, and environmental protection standards. The current evaluation process is conducted manually using Microsoft Excel, which is inefficient, time-consuming, and prone to subjective bias, particularly when multiple projects achieve identical scores. This research aims to design and develop a web-based information system to support the evaluation and selection of HSE Awards winners. The Multi-Attribute Utility Theory (MAUT) method was employed because of its effectiveness in handling multiple criteria and heterogeneous sub-criteria, thus ensuring fairer and more structured results. System development followed the Rapid Application Development (RAD) methodology, which shortens planning, design, and implementation phases, while Laravel and MySQL were used as the core technologies. Testing results demonstrate that the system improves efficiency, accuracy, and transparency in the evaluation process. Consequently, the proposed system contributes to better decision-making and enhances the objectivity of HSE Awards implementation.
User Experience Evaluation On The McDonald's Application Using The User Experience Questionnaire Method: Evaluasi User Experience Pada Aplikasi Mcdonald’s Menggunakan Metode User Experience Questionnaire Aliyya, Fadhilah Shabuhalaika; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72826

Abstract

In the rapidly evolving digital era, McDonald's launched a mobile app in 2019 as an effort to provide consumers with ease and convenience in accessing its fast food services. This app is designed to allow users to place orders, enjoy exclusive promotions, participate in loyalty programs, and obtain various other services more practically. However, the McDonald's app faces various technical issues that disrupt user convenience, such as transaction failures, login difficulties, and application instability, which impact the user experience and affect their satisfaction levels. This study involved 412 respondents who are active McDonald's app users. The evaluation results using the User Experience Questionnaire (UEQ) method showed that the McDonald's app obtained an average score that was categorized as "Bad" when compared to the UEQ benchmark. The dimensions of Efficiency (-0,989), Attractiveness (-0,879), and Dependability (0.178) indicated low user perceptions of the app's speed, visual appeal, and reliability in conducting transactions. Meanwhile, the Perspicuity dimension (0,054) is in the neutral category, and the Stimulation (0.837) and Novelty (0.601) dimensions are in the "Below Average" category. Based on these findings, several recommendations for improvement are proposed to improve the user experience of the McDonald's application, including: redesigning the application interface to be more attractive and aesthetic, simplifying the navigation flow to be more intuitive, optimizing system performance to increase processing speed, and increasing the reliability and stability of the application in transactions.
Sentiment Analysis and Topic Modeling of Tourist Attractions in Gresik Regency Using the BERT Method Saharani, Salsabilla Putri; Yustanti, Wiyli
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.72873

Abstract

Tourism is one of the key sectors in national economic growth as well as a pillar of regional community welfare. Gresik Regency in East Java has considerable tourism potential, with more than 100 destinations covering religious tourism, natural attractions, and family recreation. However, tourist visit data from 2022–2024 shows a declining trend that requires an in-depth evaluation of visitor perceptions and experiences. This study aims to analyze public sentiment toward tourist destinations in Gresik Regency and identify the main topics of concern for tourists. The research data was collected from Twitter and Google Maps within the period of 2021–2024 using crawling techniques. Sentiment analysis was carried out with IndoBERT, while topic modeling was conducted using BERT. The results indicate that tourism reviews are dominated by positive sentiments highlighting the uniqueness of religious destinations, natural beauty, and family recreation atmosphere. However, negative sentiments were also found, emphasizing issues related to facilities, cleanliness, staff services, and accessibility to the sites. Topic modeling successfully grouped tourist opinions into coherent themes, and evaluation with coherence scores demonstrated good quality outcomes. The study concludes that although Gresik has strong tourism appeal, challenges in facility management, services, and digital promotion need to be addressed immediately. The integration of sentiment analysis and BERT-based topic modeling has proven effective in providing comprehensive insights into tourist perceptions and can serve as a basis for formulating regional tourism development strategies.
Enhancing Business Continuity Through Proactive Information System Risk Management in the Financial Services Sector Bartien, M. Desfreezal Zurarah; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.73009

Abstract

PT XYZ, a company operating in the financial services sector, heavily relies on its colection information system to maintain smooth business operations. In line with the company's strategic plan to conduct a vendor migration for this system, a comprehensive risk analysis becomes crucial to ensure data security, regulatory compliance, and business continuity. This study aims to analyze the risks within PT XYZ's colection information system using a combined approach of the Operationally Critical Threat, Asset, and Vulnerability Evaluation (OCTAVE) and Failure Mode & Effect Analysis (FMEA) methods. The OCTAVE method was systematically applied to identify relevant critical assets, threats, and vulnerabilities. Subsequently, the FMEA method was implemented to quantitatively evaluate the identified risk scenarios to determine their priority levels. The study successfully identified a range of fundamental critical assets across data, system, and brainware categories, and formulated numerous associated risk scenarios. Through the FMEA assessment, these scenarios were classified by their priority level, with a portion identified as high-risk requiring immediate attention. For these high-priority risks, this research recommends actionable mitigation strategies based on controls from the ISO 27001:2022 standard. This study produces a measurable risk profile that serves as a strategic foundation for PT XYZ to effectively manage information security.
Implementation of Business Process Reengineering for Efficiency of Raw Material Procurement and Inventory Management at CV Jaya Mitra Chemical Firnanda, Adinda Nabila; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.73835

Abstract

CV. Jaya Mitra Chemical is a company engaged in the sale and purchase of chemical products, providing chemicals (chemical maintenance) for industry, shipping, shipbuilding, and offshore oil drilling. The main problem faced is closely related to the length of the cycle time in the business process, particularly in the procurement and management of chemical raw material supplies. This research was conducted to implement Business Process Reengineering at CV Jaya Mitra Chemical to optimize the company's cycle time efficiency by identifying and correcting weaknesses in the business processes of procurement and management of raw material supplies and to determine the percentage increase in the company's cycle time efficiency resulting from the implementation of Business Process Reengineering in the procurement and management of raw material supplies at CV. Jaya Mitra Chemical. The business process reengineering (BPR) process was assisted by BPMN, value-added analysis, and root cause analysis (fishbone diagram), followed by To-Be modelling using a heuristic redesign approach. After implementing BPR in the procurement and management of raw material inventory (using the CV Delivery Section as the collection method), the average business process cycle time decreased from 3 hours 11 minutes 37 seconds to 1 hour 56 minutes 7 seconds, which means that efficiency increased by 39.4% CTE. There was a reduction in time of 1 hour 15 minutes 30 seconds. Then, in the Procurement and Management of Raw Material Inventory Process (using Gosend courier services), the average business process cycle time decreased from 3 hours 9 minutes 11 seconds to 2 hours 18 minutes 42 seconds, which means efficiency increased by 26.7% CTE and experienced a time reduction of 50 minutes 29 seconds.
Digital Transformation and Supply Chain Resilience through Cloud, ERP, and BI Integration in Mondelez International Azzaria, Ainu; v, Demitri Fernando Putra; Wicaksono, Soetam Rizky
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 1 (2026): Vol. 07 Issue 01
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i1.73963

Abstract

This study examines Mondelez International's digital transformation specifically its infrastructure migration to the cloud (AWS), SAP RISE ERP implementation, and Business Intelligence (Tableau) platform utilization with a focus on implications for procurement and supply chain resilience. The research method used was a Research & Development (R&D) approach based on a secondary literature review, followed by a SWOT analysis to evaluate internal and external factors, and a PEST analysis to examine the macro-environmental context. The results indicate that the integration of cloud + ERP + BI strengthens cross-functional data visibility, accelerates decision-making, and improves procurement efficiency but challenges remain from commodity dependence (cocoa), cross-border operational complexity, and fiscal/environmental regulations in certain jurisdictions. The study also identifies strategic opportunities for expansion into digital channels and new products, as well as the need for continued investment in factory automation to reduce costs. Proposed managerial implications include strengthening raw material hedging practices, accelerating factory digitalization, and sharpening product portfolio strategies to align with regulatory pressures and consumer preferences. These findings provide lessons for global FMCG companies in integrating technology, data, and operational strategies to enhance supply chain resilience. Keywords: Mondelez, digital transformation, SAP RISE, Tableau, supply chain resilience.

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