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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 329 Documents
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Information Security Risk Assessment Using ISO/IEC 27005:2018 in Internet Service Provider Company Aziman, Muhammad Atho'ullah; 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.v7i1.74072

Abstract

Information security is a critical concern for Internet Service Provider companies due to their high dependency on information systems and customer data. PT XYZ has not yet conducted a formal information security risk analysis, despite its plan to prepare for ISO/IEC 27001 certification. This study aims to assess information security risks at PT XYZ using the ISO/IEC 27005:2018 framework and to formulate appropriate risk mitigation recommendations. This research adopts a qualitative descriptive approach with a case study method. Data were collected through literature studies, interviews, and direct observations of information assets, business processes, and existing security controls at PT XYZ. The risk analysis process includes context establishment, identification of critical assets based on confidentiality, integrity, and availability principles, identification of threats and vulnerabilities, risk analysis using likelihood and impact parameters, risk evaluation, and the development of risk treatment plans. The results indicate that out of 27 identified information assets, 24 assets are classified as critical. Several identified risks are categorized as high and very high, which may significantly affect the continuity of the company’s core services, including internet connectivity, web hosting, and Domain Name System services. Based on these findings, risk mitigation recommendations are proposed with reference to ISO/IEC 27002:2022 security controls. This study is expected to support PT XYZ in strengthening its information security posture and to serve as an initial step toward achieving ISO/IEC 27001 certification.
Web-Based Sales Force Automation Implementation Using Extreme Programming at CV. Samudra Jaya Rahmadhani, Siti Farikha Jauhari; Suyatno, Dwi Fatrianto
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.v7i1.74399

Abstract

The sales process at CV. Samudra Jaya is currently conducted conventionally, relying on manual order recording and daily visit reports. This condition results in a high risk of human error, slow information flow between divisions, and difficulties for management in effectively monitoring salesman performance. This study aims to develop a web-based Sales Force Automation (SFA) system to digitize and automate the company's sales business processes. The system development approach applied is Extreme Programming (XP), encompassing planning, design, coding, and testing phases, selected for its flexibility in adapting to changing client needs. The application is built using the Laravel framework and MySQL database. The result of this research is an integrated SFA system that covers customer data management, salesman territory tracking, sales transaction recording, monthly target management, and automated financial reporting. System testing using the Black Box method demonstrates that all functions operate validly and meet operational requirements. The implementation of this SFA system successfully enhances sales administration efficiency, increases salesman performance transparency, and provides accurate real-time data to support strategic decision-making by management.
Factors Influencing Student Acceptance of SIDIA E-Learning Alrowayyan, Akbar Rizqi; 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.v7i1.75295

Abstract

Digital learning platforms are widely utilized in higher education to support academic activities, yet student engagement with these systems often varies across contexts. Understanding the factors that shape continued usage therefore becomes essential. This study explores student interaction with the Sinau Digital Universitas Negeri Surabaya (SIDIA) e-learning platform by examining both user-related perceptions and system-related characteristics. Data were obtained from undergraduate students who had prior experience using SIDIA for at least one academic semester, and a quantitative analytical approach was applied. The relationships among the observed variables were evaluated using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results demonstrate that expectations regarding system usefulness and ease of operation, along with social and environmental support, contribute to the formation of user satisfaction. In addition, the quality of the system, the information it delivers, and the services supporting it play an important role in strengthening satisfaction levels. User satisfaction is further shown to influence students’ intention to continue using the platform and their actual engagement with the system. These findings indicate that satisfaction functions as a key connecting mechanism between user perceptions, system attributes, and sustained utilization of e-learning services. The study offers insights for higher education institutions in developing and managing digital learning systems that promote long-term use and effective learning support.
Sentiment Analysis and Topic Modeling Using BERT And LDA Methods (Case Study of Free Meal Program on Twitter) Yanna, Siti Mahmudah 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.v7i1.75819

Abstract

The Free Meal Program is one of the Indonesian government's strategic efforts to structurally address poverty and malnutrition (stunting). As a new policy with massive social and fiscal impacts, an in-depth evaluation is required to measure public acceptance. This study aims to categorize public sentiment into positive and negative categories and identify the dominant topics discussed on Twitter (X) regarding the program. The methodology involved crawling Twitter data, resulting in a total of 8,307 datasets. Sentiment labeling was performed automatically using the IndoBERT deep learning model, followed by topic modeling using the Latent Dirichlet Allocation (LDA) method for each sentiment category. The results of the topic modeling were validated through topic coherence tests using word instruction task and topic instruction task techniques. The results showed an imbalanced sentiment distribution, with 7,034 negative sentiments and 1,273 positive sentiments. LDA modeling successfully extracted 5 optimal topics for both sentiment categories. Positive sentiments included topics such as budget efficiency, the role of government institutions (National Police), technical implementation, and local economic empowerment. Meanwhile, negative sentiments encompassed concerns regarding state budget (APBN) priorities, health/poisoning issues, and the comparative urgency between the free meal program and the education and health sectors. The coherence test results showed an interpretation accuracy rate of 93% for keywords and 79% for topic relevance, indicating that the developed LDA model was optimal in extracting public opinion.
Developing Order and Queue Web Systems Using User Centered Design in Diskominfo Mojokerto Utama, Ichwan Wahyu; 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.v7i1.76064

Abstract

The management of application development services at the Department of Communication and Informatics (Diskominfo) of Mojokerto Regency is still conducted manually, resulting in queue uncertainty and service delays. This study aims to design and implement an online order and queue management website application using the User-Centered Design (UCD) method. This method involves users at every stage of development, including planning, design, implementation, and evaluation. The application was developed using React JS (front-end), Express JS (back-end), and MySQL (database). Evaluation was conducted through usability testing involving 21 respondents from Regional Government Organizations (OPD) of Mojokerto Regency. The results show an average System Usability Scale (SUS) score of 79.41, exceeding the minimum standard score of 68. This indicates that the application is easy to use, efficient, and aligned with user needs.
Reengineering the Return Refund Request Business Process in ruparupa E-commerce Using the Business Process Reengineering Method Setiagita, Yonathan; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 2 (2026): Vol. 07 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i2.64988

Abstract

Proses pengajuan pengembalian barang di e-commerce ruparupa menghadapi masalah terkait efektivitas yang berdampak pada tingkat kepuasan penggunanya. Berdasaran data internal ruparupa dari Januari hingga September 2023, terdapat 21.538 ajuan pengembalian, dan sebagian besar dari pengajuan tersebut mengalami kendala dalam hal penyelesaian tepat waktu sesuai SLA (Sevice Lever Agreement). Penelitian ini bertujuan guna melakukan rekayasa ulang proses bisnis pengajuan pengembalian menggunakan metode Business Process Reengineering (BPR) yang diintegrasikan dengan konsep Customer Relationship Management (CRM) berbasis omnichannel. Pendekatan ini dapat memberikan kemudahan bagi pelanggan dalam memilih opsi pengembalian, baik melalui pengembalian langsung di toko fisik ataupun penjemputan oleh kurir ke alamat terdaftar. Analisis proses bisnis dilakukan menggunakan Process Model and Nation (BPMN) yang disimulasikan menggunakan aplikasi Bizagi. Proses perbaikan dilakukan dengan teknik Systematic Reengineering dengan prinsip ESIA (Eliminate, Simplify, Integrate, Automate). Hasil penelitian menunjukkan bahwa integrasi CRM omnichannel berupa proses bisnis alternatif berhasil meningkatkan efisiensi waktu proses dan alokasi sumber daya, serta dapat memberikan fleksibilitas lebih bagi pelanggan. Proses bisnis alternatif yang sudah dihasilkan diharapkan tidak hanya dapat meningkatkan efektifitas keseluruhan proses pengajuan pengembalian tetapi juga meningkatkan kepuasan dan loyalitas pelanggan.  
EVALUATION OF THE USABILITY OF THE SIMPAUD WEBSITE IN SURABAYA CITY USING THE WEBSITE USABILITY EVALUATION METHOD (WEBUSE): WEBSITE USABILITY EVALUATION METHOD (WEBUSE) Ardana, Farah Nabilah; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 2 (2026): Vol. 07 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i2.72832

Abstract

One of the needs of educational institutions today is to provide access to data or information in the form of a management information system. In order to support quality learning for students from PAUD to TK, an effective and efficient information system is needed. The PAUD Information Management System (SIMPAUD) is here as a solution to help early childhood educators upload student information. SIMPAUD is a website managed and developed by the education office which is useful for teachers, especially educators from PAUD to TK. This study uses the Website Usability Evaluation (WEBUSE) method. The type of research used in this thesis is a quantitative method. This study obtained 110 respondents who were distributed to TK, KB, and PPT in Surabaya. Based on the evaluation of the SIIMPAUD website in terms of usability using the WEBUSE method, the total number of points was 0.59. This value indicates that the SIMPAUD website is included in the moderate category, which means that the SIMPAUD website still has several problems so that further research is needed so that these problems get better usability results. The usability dimensions that play an important role based on the results of the questionnaire data processing are Navigation and Links, because these categories are important in finding information in using it. The proposed solution recommendations based on the 4 variable usability problems are 10 solution recommendations.
Sentiment Analysis of Public Figures on X Using Naïve Bayes and SVM Putra, Muhammad Hashfiudin Tridharma; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 2 (2026): Vol. 07 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i2.72943

Abstract

The rapid growth of social media has created an open public space where users freely express opinions toward public figures, generating positive, negative, and neutral sentiments. Platform X [Formerly Twitter] is one of the most widely used media for public discourse in Indonesia. This study analyzes public sentiment toward the Regent of Sidoarjo for the 2021–2024 period, Ahmad Muhdlor Ali, using sentiment classification techniques. The research applies two machine learning algorithms, namely the Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM), to identify and compare their performance in sentiment analysis. Data were collected through web scraping using relevant keywords and processed in Google Colab. A quantitative research approach was employed using the SEMMA framework, which consists of Sample, Explore, Modify, Model, and Assess stages. The process included data cleaning, text preprocessing, sentiment labeling, and classification using both algorithms. Model performance was evaluated using accuracy, precision, and recall metrics. The results show that both NBC and SVM perform well in classifying public sentiment, achieving high accuracy levels. However, differences in performance were observed between the two methods, indicating that algorithm selection influences classification outcomes. This study contributes to the evaluation of public perception toward government officials and provides a reference for the development of sentiment analysis systems based on social media data.
EXPLORATORY FACTOR ANALYSIS OF USER LOYALTY FACTORS IN LIVIN' BY MANDIRI MOBILE BANKING APPLICATION Valensi, Muhammad 'Athallah Hira; Palupi, Ghea Sekar
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 2 (2026): Vol. 07 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i2.75711

Abstract

The rapid growth of digital banking in Indonesia, particularly mobile banking applications, has transformed consumer behavior in financial transactions. Livin' by Mandiri, Bank Mandiri's flagship mobile banking application, serves over 20 million active users. However, service disruptions such as login difficulties, transaction delays, and system instability have been reported, potentially affecting user satisfaction and loyalty. This study aims to identify the latent factors that shape user loyalty toward Livin' by Mandiri using Exploratory Factor Analysis (EFA). Data were collected from 100 active users in East Java through an online questionnaire measuring perceived usefulness, perceived ease of use, security and trust, user experience, system and service quality, and loyalty. The EFA results revealed four dominant factors with eigenvalues greater than 1.0: Usefulness and Behavioral Loyalty (eigenvalue=6.107, 33.9% variance), Ease of Use and Security-Trust (eigenvalue=1.447, 8.0% variance), System Performance and Service Reliability (eigenvalue=1.264, 7.0% variance), and User Experience (eigenvalue=1.123, 6.2% variance). These four factors collectively explained 55.1% of the total variance. After Promax rotation, the variance distribution became more balanced at 54.8%. The findings indicate that perceived usefulness integrated with behavioral loyalty is the most dominant factor, followed by ease of use combined with security perceptions. These results provide strategic insights for Bank Mandiri to enhance service quality, strengthen system stability, and maintain long-term user loyalty in a highly competitive digital banking landscape.
Sales Performance Classification of Promotional Products Using Data Mining Iswandaru, Rafli Satria; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 7 No. 2 (2026): Vol. 07 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v7i2.75897

Abstract

The objective of this research is to establish a classification model to determine high sales performance promotional products using past sales records. The issue at stake is that it is very hard for business actors to forecast the appearance of high sales promotional products, taking into account different factors, such as product type, price per unit, quantity requested, and sales period. This study, based on a quantitative and experiential manner, makes use of the C4. 5 decision tree algorithms on real transaction data of HERA Promotion during 2024. The data falls into one of two types: "best-selling" and "not-selling" products. The proposed classification model achieved good generalization performance with the test accuracy of 99.48% and 5-fold cross-validation accuracy of 96.77%. Price Unit, Product Name, and Month were the most essential features in classifying products, showing that economic value and seasonal demand are major factors determining whether a product is sold. But when applied to the external data for the first few months of 2025, accuracy fell to 78%, which is a way for them to show that shifts in consumer behavior can drive changes in performance. From a theoretical point of view, this study fills the gap by incorporating the time effects as a dynamic variable into product classification models, which haven't been mentioned much in previous research. For practice, the results also encourage incorporating data-driven classification models within decision support systems to help with stock planning and promotional strategies. More work is warranted to use ensembling techniques and real-time data streams on the generalization ability and adaptability of the models.

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