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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 360 Documents
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Web-Based Stock Forecasting Application Using Single Exponential Smoothing Method (Case Study: CV. Anugerah Ajitama) Muchammad Ichwan Firdaus; Ardhini Warih Utami
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.v7i2.81896

Abstract

CV. Anugerah Ajitama, a building material distribution company, faces inventory management challenges due to stock determination that is still conducted manually based on subjective estimation. This condition has led to recurring overstock and stockout issues, resulting in increased storage costs, product damage risks, and lost sales opportunities. This study aims to design and develop a web-based inventory forecasting system utilizing the Single Exponential Smoothing (SES) method, as well as to evaluate the forecasting accuracy and system functionality. System development employs the Rapid Application Development (RAD) method, encompassing the stages of requirement planning, user design, construction, and cutover. The research data consists of historical sales data of three main products water tanks, turbine ventilators, and metal roof tiles from the January 2023 to December 2025 period. The forecasting process involves testing alpha values from 0.1 to 0.9 through a trial and error approach, with the best alpha selected based on the smallest Mean Squared Error (MSE), while Mean Absolute Deviation (MAD) serves as supplementary information. The results show that the optimal alpha values are 0.1 for water tanks (MSE: 13.70, MAD: 2.60), 0.2 for turbine ventilators (MSE: 5.12, MAD: 2.02), and 0.3 for metal roof tiles (MSE: 4932.58, MAD: 53.60). The system was successfully implemented as a web-based application built with Laravel and React, featuring product data management, stock realization, sales data management, automated forecasting, report generation, notifications, and role-based access control. Furthermore, functional testing using Black Box Testing across three user roles (Super Admin, Business Owner, and Admin Staff) with a total of 133 test scenarios was successfully executed with a 100% pass rate. Based on these findings, this application can effectively serve as a decision support tool for inventory planning at CV. Anugerah Ajitama.
Comparative Analysis of ARIMA and Prophet Methods in Forecasting Producer-Level Medium Rice Prices in East Java Province Egar Caesario Firmansyah; I Kadek Dwi Nuryana
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.v7i2.81988

Abstract

Price instability of medium rice has important implications for food security and agricultural policy in Indonesia, making accurate price forecasting essential for decision-making. This study investigates the forecasting capability of the Autoregressive Integrated Moving Average (ARIMA) and Prophet models for predicting producer-level medium rice prices in East Java Province. Monthly producer price data spanning January 2020 to December 2025 were collected from the East Java Open Data Portal. The research followed the Cross-Industry Standard Process for Data Mining (CRISP-DM), covering problem identification, data exploration, preprocessing, model development, performance assessment, and forecasting deployment. Forecast accuracy was measured using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). Experimental results reveal that ARIMA(1,1,1) achieved the highest predictive accuracy, recording an MAE of 238.37, an RMSE of 293.11, and a MAPE of 1.88%, whereas Prophet produced larger prediction errors, with values of 2,062.14, 2,113.86, and 16.46%, respectively. Based on these results, the ARIMA model was selected to estimate producer-level medium rice prices for the 2026 forecasting period. Overall, the study demonstrates that ARIMA is better suited to the characteristics of the analyzed dataset and has the potential to support data-driven agricultural price monitoring and food price stabilization policies. Keyword: ARIMA, Prophet, Time Series Forecasting, Medium Rice, Producer Price, East Java.
An Integrating AI Chatbot into AR Board Game DINASTI for Elementary History Learning Burhan Hidayatulloh; I Kadek Dwi Nuryana
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.v7i2.83185

Abstract

Learning the history of the Indonesian archipelago in Social and Natural Sciences (IPAS) at the elementary school level often faces challenges as the material is considered abstract, monotonous, and teacher-centered, leading to low student motivation and an average history test score of 67.5 (below the mastery criteria of 75) at SDN 163 Gresik. This study aims to develop and evaluate the effectiveness of the "DINASTI" board game as an innovative learning media that integrates physical mechanics with QR Scanner technology, Augmented Reality (AR) 3D visualization, and an AI Chatbot acting as an adaptive virtual tutor. The research method employed was Research and Development (R&D) using the ADDIE model, involving 21 fourth-grade students as trial subjects, with data gathered through learning outcome tests, expert validation questionnaires, and System Usability Scale (SUS) surveys. The results indicated that quantitative validation by media experts declared the product Highly Feasible/Highly Valid with a cumulative average score of 4.67 out of 5.00. Furthermore, the usability test via SUS yielded an average score of 78.81, placing it in the Acceptable category with a grade B+ and a Good predicate. In conclusion, the DINASTI learning media proved significantly effective in improving students' learning outcomes while successfully maintaining face-to-face social interaction in the classroom.
Recommendations for Information Security Governance Referencing ISO/IEC 27001:2022 for Government Agencies Azizah Bahirotun Ni'am; 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.v7i3.80600

Abstract

Information security is crucial for local government agencies, especially those managing the Electronic-Based Government System (SPBE) infrastructure. Many agencies still lack clear and documented information security governance. This issue is evident at the Communication, Informatics, and Statistics Office (Diskominfo) X, where security operations remain reactive, and the KAMI Index rating is “Insufficient.”The study aims to perform a gap analysis and design recommendations for information security governance at Diskominfo X, based on ISO/IEC 27001:2022 standards. It is a qualitative study using interviews, observations, and internal document reviews. Findings indicate that although Diskominfo has a regional legal basis and operational security practices, compliance with the standard is mostly “Not Yet Implemented.” Information security management is still informal and not integrated into an Information Security Management System (ISMS) framework.The study outputs include draft SOP documents, operational forms, work regulations, and responsibility distribution drafts. Recommendations urge the institution to formalize these documents, standardize technical activities, and conduct regular internal audits and security awareness training for all employees.
Analysis and Visualization of Kare Kambing Sales Forecasting Using Time Series-Based Forecasting and Machine Learning Vinka Amelia Surya Putri; I Kadek Dwi Nuryana
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.v7i3.80653

Abstract

The Kare Kambing MSME possesses a substantial amount of historical sales data, yet its utilization as a basis for business decision-making remains suboptimal. Production planning is currently based on estimates, creating a risk of either overproduction or underproduction. This study aims to analyze sales patterns, compare various forecasting methods, and visualize the analysis results via a Business Intelligence dashboard to support business decision-making. The study utilizes historical sales data from the Kare Kambing MSME covering the period from 2020 to February 2026. The research stages include data preprocessing, exploratory data analysis (EDA), forecasting model development, model evaluation, sales forecasting, and dashboard creation using Tableau. The models compared are Moving Average, Exponential Smoothing, ARIMA, Linear Regression, and Random Forest. Model evaluation was conducted using MAE, RMSE, and SMAPE metrics, with data split into 80% for training and 20% for testing. The results indicate fluctuating sales patterns, characterized by day-to-day variations and relatively stable seasonal trends. Based on the evaluation, the Linear Regression model emerged as the best performer, achieving an MAE of 61.93, RMSE of 77.82, and SMAPE of 7.25. This model was subsequently used to forecast sales for the period of March 2026 through December 2027, yielding a total predicted volume of 17,623 portions. Finally, the forecast results were visualized in a Tableau dashboard to facilitate sales monitoring, model evaluation, and the structured formulation of raw material inventory recommendations.
Analysis of User Satisfaction of myXL Mobile Application Using the DeLone and McLean Model Sofyan Zainul Muttaqin; I Gusti Lanang Putra Eka Prismana
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.v7i3.80752

Abstract

The rapid growth of mobile application usage in the telecommunications industry demands continuous evaluation of user satisfaction to ensure service quality. The myXL application, developed by PT XL Axiata Tbk as a primary digital self-service platform for its customers, has garnered over 50 million downloads on Google Play Store. However, numerous user complaints regarding login difficulties, slow loading times, transaction failures, and frequent errors indicate potential dissatisfaction. This study aims to analyze user satisfaction with the myXL application using the DeLone and McLean Information Systems Success Model (2003). A quantitative descriptive approach was employed, collecting data from 100 active myXL users in Surabaya through an online questionnaire consisting of 25 items measured on a five-point Likert scale. Five variables were examined: System Quality, Information Quality, Service Quality, User Satisfaction, and Net Benefits. Data were analyzed using descriptive statistics (mean and standardeviation) with SPSS. The results indicate that all five variables fall within the "Satisfied" category, with an overall mean score of 3.86. Net Benefits achieved the highest score (4.11), while System Quality received the lowest (3.70). Notably, system stability was the only indicator rated as "Moderately Satisfied" (3.17), suggesting that application crashes and errors remain a critical concern. These findings provide actionable insights for PT XL Axiata Tbk to prioritize system stability improvements and enhance customer support responsiveness within the myXL application.
Barcode-Based Student Memorization Monitoring System Using Extreme Programming Ibrahim Kayyis; Dwi Fatrianto Suyatno
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.v7i3.80818

Abstract

Luqman Al Hakim Islamic Boarding School in Surabaya faces inefficiency in recording halaqoh attendance and monitoring students' memorization progress due to reliance on manual paper-based methods and Mutaba'ah Yaumiyyah books. This reliance leads to a high risk of data loss, slow recapitulation, and a lack of real-time transparency for parents. This study aims to develop a mobile-based information system using the Flutter framework to address these issues. The Extreme Programming (XP) method is applied, focusing on iterative system development through planning, designing, coding, and testing phases. The system utilizes barcode scanning using the Student Identification Number (NIS) for accurate attendance tracking. Furthermore, the application integrates the Hive local database and Firebase Cloud Firestore to provide offline-first capabilities. This feature ensures teachers can input data without an internet connection, automatically synchronizing it once the network is available. Functional testing using the Black Box method demonstrates that all features for the Admin, Halaqoh Teacher, Parent, and Superadmin roles operate at 100% validity. In conclusion, this application successfully digitalizes boarding school administration, secures data records, and provides transparent memorization monitoring for parents.
Scholarship Recommendation System Using Content-Based Filtering Approach Ryan Ferdiansyah; Dwi Fatrianto Suyatno
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.v7i3.80832

Abstract

The numerous prospective scholarship recipients who face difficulties in finding information that matches their educational profiles form the background of this research. The objective of this study is to design and develop a web-based scholarship recommendation system using the Content-Based Filtering (CBF) method and to determine the accuracy level of the Euclidean Distance algorithm through precision testing. This research is a descriptive qualitative study utilizing the Rapid Application Development (RAD) approach, which includes Requirement Planning, User Design, Construction, and Cutover phases. Data sources consist of scholarship information from official institutions and user profile inputs. Data collection was conducted through literature studies, observations, and questionnaires. Functionality testing was performed using Black Box Testing, while recommendation accuracy analysis utilized the Precision method based on Euclidean Distance. The results showed that a web-based system using MERN Stack technology was successfully developed and capable of presenting a list of scholarships relevant to user profile metadata. Based on the testing, this algorithm achieved an average accuracy of 92%, proving that the system works optimally in prioritizing relevant scholarships and effectively overcomes the cold-start problem. In conclusion, this system is mathematically validated as a decision support tool for scholarship seekers. Suggestions for future development include integrating the system with external APIs such as PDDikti for automatic data validation and improving the text-matching mechanism to avoid rigid exact matches.
Risk Management Framework for ISP Network Operations Based on ISO 27005:2022 and FMEA Jalu Tri Atmaja; Ghea Sekar Palupi
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.v7i3.80833

Abstract

This study designs information security risk management for network operations and monitoring at PT RNet Mitra Sentosa using ISO/IEC 27005:2022 and FMEA. Asset identification was conducted across five categories (hardware, software, data & information, network & infrastructure, and human resources), with each risk assessed for its impact on the CIA triad and analyzed using Severity, Occurrence, and Detection parameters to generate Risk Priority Number (RPN). The findings identified 185 risk scenarios, with 11 priority risks (RPN ≥ 120) requiring immediate treatment. The two highest risks (RPN 210) relate to IT asset inventory inaccuracies and unauthorized access to inventory data, dominated by the Data & Information category. Treatment recommendations emphasize mitigation through asset management, access control, preventive maintenance, and security awareness, along with risk transfer for DDoS and traffic overload.
GUI Functionality Testing on Canva and VistaCreate Using Black Box Method and Katalon Studio Reyhan Rainaldy; Dwi Fatrianto Suyatno
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.v7i3.80858

Abstract

ABSTRACT Web-based graphic design platforms have become essential tools for small businesses, content creators, and marketing professionals, making the reliability of their Graphical User Interface (GUI) a critical quality factor. This study evaluates and compares the GUI functionality of two leading online graphic design platforms, Canva and VistaCreate, using the Black Box Testing method automated with the Katalon ecosystem, namely Katalon Studio and Katalon Recorder. The testing process was structured following the Software Testing Life Cycle (STLC), covering requirement analysis, test planning, test case design, environment setup, test execution, and test closure. A total of sixteen test cases were designed across four core feature groups: user authentication, interface navigation, design creation and editing, and design downloading. All sixteen test cases achieved a passed status on both platforms, yielding a testing success rate of 100%. Nevertheless, functional differences were identified. Canva applies stricter validation by rejecting the download of an empty canvas and enforcing OTP verification during login, whereas VistaCreate still allows empty-canvas downloads, deviating from the expected result. CAPTCHA protection on Canva also limited browser automation, requiring Katalon Recorder as an alternative. The findings demonstrate that Katalon-based automation testing is effective, structured, and consistent for validating web GUI functionality, and provides an objective reference for selecting a reliable web-based graphic design platform. Keyword: Black Box Testing, Canva, GUI Testing, Katalon Studio, Software Testing Life Cycle, VistaCreate.

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