cover
Contact Name
Monica Cinthya
Contact Email
monicacinthya@unesa.ac.id
Phone
-
Journal Mail Official
monicacinthya@unesa.ac.id
Editorial Address
Gedung A10 Teknik Informatika Kampus Unesa Ketintang Jl. Ketintang Wiyata Gedung A10 Surabaya, Jawa Timur 60231
Location
Kota surabaya,
Jawa timur
INDONESIA
Journal of Emerging Information Systems and Business Intelligence (JEISBI)
ISSN : -     EISSN : 27743993     DOI : 10.26740/jeisbi
Core Subject : Science, Education,
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
Articles 329 Documents
User-Centered Design Evaluation of ShopeeFood Driver User Interface and Experience Nurrahman, Azhari Yudistya; 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.v7i2.76127

Abstract

The ShopeeFood Driver application serves as a critical tool for delivery partners in managing orders and navigation. However, initial observations and user interviews conducted in Surabaya identified several usability issues, including the absence of demand visualization (heatmaps), lack of destination-based order filtering, and the inability for drivers to rate customers. This study aims to evaluate and redesign the UI/UX of the ShopeeFood Driver application using the User-Centered Design (UCD) method to enhance operational efficiency and user satisfaction. The research followed the four stages of the UCD process: understanding the context of use, specifying user requirements, producing design solutions, and evaluating against requirements. Data were collected from 30 active delivery partners in Surabaya through observations, semi-structured interviews, and System Usability Scale (SUS) questionnaires. The redesign introduced three key features: an order-demand heatmap, a destination-based (one-way) order filter, and a customer rating system. Post-redesign evaluation demonstrated significant improvements in usability. Effectiveness increased from 82.8% to 100%, while efficiency improved as the average task completion time decreased from 34.7 seconds to 21.7 seconds. Additionally, the average SUS score increased from 66.75 (Marginal/OK) to 87.25 (Acceptable/Excellent). These results indicate that the application of the UCD method successfully addressed operational challenges at the field level and substantially improved the usability of the ShopeeFood Driver application, resulting in a more intuitive and efficient user experience for delivery partners.
IOT-BASED AUTOMATIC WATERING SYSTEM FOR TOMATO PLANTS WITH SOIL MONITORING Bharagus, Devanda Yudha; Nuryana, I Kadek 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.v7i2.76210

Abstract

The development of the Internet of Things (IoT) technology has significantly contributed to plant maintenance, particularly in automated irrigation systems. Tomato plants require optimal soil conditions, especially soil moisture and soil pH, to grow properly. The ideal soil pH for tomato plants ranges from 6.0 to 6.8, while soil moisture levels should be maintained between 60% and 80%. However, manual tomato plant care often encounters problems due to a lack of understanding of plant requirements and improper irrigation timing. This study aims to design and develop an automatic tomato irrigation system based on the Internet of Things (IoT) with real-time monitoring of soil moisture and soil pH through a web-based interface. The system uses an ESP32 microcontroller as the main controller, along with a soil moisture sensor and a soil pH sensor. Sensor data are processed to automatically control the water pump based on a predetermined soil moisture threshold. System testing was conducted ten times under various soil conditions. The results show that when the soil moisture value exceeds 80%, the water pump automatically turns off, whereas when the value falls below 80%, the pump turns on to perform irrigation. These results indicate that the system operates according to the defined threshold and is able to maintain optimal soil moisture conditions. The implementation of this system improves the efficiency, effectiveness, and control of tomato plant maintenance.
IoT-Based Electricity and Lecture Room Usage Management Information System at State University of Surabaya Jazuli, Muhammad Irfan; Sisephaputra, Bonda
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.v7i2.76220

Abstract

The demand for electrical energy in university environments continues to increase in line with the growing number of students and the intensified use of various facilities. This condition has the potential to cause energy waste, especially in lecture rooms. This situation may lead to an increase in the University's operational costs, which could ultimately disrupt the allocation of budgets for various academic and non-academic activities. Therefore, a solution is needed that can monitor and control energy usage more efficiently. This study aims to design an ESP32 and RFID-based device for implementing IoT technology in classroom electricity and room management systems, as well as to develop an IoT-integrated room management system. The research method includes the design of hardware using ESP32, RFID RC-522 module, relay, push button, buzzer, solenoid door lock, and I2C LCD, connected to a web-based application built with Laravel as the backend for authentication, data management, and room usage monitoring. Tests were conducted to measure E-KTP identification accuracy, scanning speed, check-in and check-out success rates, and the integration between hardware and the web system. The results show that all E-KTPs were successfully identified with a 100% success rate, with an average scanning time of 0.682 seconds during registration, 0.728 seconds during check-in, and 0.775 seconds during check-out, with a maximum scanning distance of 1 cm. The system can also display real-time room usage data on the admin dashboard and control electrical devices according to room booking status. Thus, the developed system is not only effective in authenticating room access and monitoring electricity usage but also contributes to reducing energy waste and supporting efficient and sustainable classroom management in higher education institutions.
Web-Based Population Administration Information System at Sidokumpul Village Putra, Muhammad Faris Afif; Sisephaputra, Bonda
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.v7i2.76235

Abstract

Population administration services in Sidokumpul Village are predominantly managed through conventional manual procedures, resulting in long administrative queues, service delays, accumulation of physical documents, and limited access to information for residents. These challenges indicate the need for a digital solution that can improve efficiency, accuracy, and accessibility of population administration services at the village level.
The Impact of Service Quality on Customer Satisfaction and Loyalty in Netflix Alnazarul, Dicky; 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.v7i2.76443

Abstract

Netflix is a subscription streaming platform that gives users access toiwatchiTVishowsiand movies throughiinternet connectedidevices. The purposeiof this study is to determine whether there is an influence of service quality onicustomer loyaltyifor the Netflix online streaming application and to make appropriate recommendations to the relevant agencies. Thisistudy uses an explanatoryimethodiwhich aimsito explain the relationship betweeni the variables studied and the influence between these variables. Thisistudy involves three independent variables, namely service quality, Price, and customer satisfaction, and one dependent variable, namely customer loyalty. Data collection was carried out through distributing questionnaires to Netflix application users in Surabaya and its surroundings. Theidata obtained was processed using validity test, reliability test, and hypothesis testing with the help of SPSS software. The analysis results show that all independent variables have a significant influence on customer loyalty. Among these variables, Price has the greatest influenceion customer loyalty, followed by service quality and customer satisfaction. This study has some limitations that require further study so that the level of elearning user satisfaction can be measured more accurately. Keywords: Netflix, Satisfaction, Loyalty, SPSS, Customer Services.
Analysis of User Satisfaction in the Test of English Proficiency Information System Service at UNESA Using the E-S-QUAL Method Nataliza, Nasywa Putri; Suyatno, Dwi Fatrianto
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.v7i2.76553

Abstract

The Test of English Proficiency Information System SIMTEP at Universitas Negeri Surabaya is a technology-based service that plays an important role in supporting English proficiency testing; therefore, evaluating its service quality is essential to ensure user satisfaction. This study aims to analyze user satisfaction with SIMTEP services using the E-S-QUAL method through a quantitative approach. One hundred participants filled out surveys, and the results were evaluated using SEM—specifically, the Partial Least Squares (PLS) method. Total user happiness is classified as satisfied, according to the data, with an average satisfaction score of 3.99. Five of the seven hypotheses tested were shown to be true: system availability and remuneration did not significantly impact user happiness, but efficiency, fulfillment, privacy, responsiveness, and interaction did. Service efficiency, data privacy, ease of contact, responsiveness, and fulfillment accuracy are the primary factors that impact customer satisfaction with SIMTEP, according to these research. In addition to providing a foundation for future studies on electronic service quality and user satisfaction, this study is anticipated to provide an assessment reference for enhancing SIMTEP service quality.
Analysis of Information Security Awareness Levels Using Multiple Criteria Decision Analysis : Case Study of Digital Transaction Application Users in Surabaya Ghofur, Fauzan Ali; Nuryana, I Kadek 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.v7i2.76571

Abstract

The rapid growth of digital transaction applications has transformed financial activities and increased reliance on electronic payment systems. However, the widespread use of these platforms also exposes users to various information security threats, including phishing, malware, and social engineering attacks that often exploit human vulnerabilities. Despite the increasing adoption of digital financial services, the level of information security awareness among users remains a critical issue that requires systematic evaluation. This study aims to measure and analyze the level of information security awareness among digital transaction application users in Surabaya. This research employs a quantitative approach using Multiple Criteria Decision Analysis (MCDA) integrated with the Knowledge, Attitude, and Behavior (KAB) model. The assessment framework is based on the Human Aspects of Information Security Questionnaire (HAIS-Q), which includes seven focus areas: password management, email usage, internet usage, social media usage, device usage, information handling, and incident reporting. Data were collected through an online questionnaire distributed to digital transaction users in Surabaya, resulting in 102 valid respondents. The results indicate that most focus areas fall into the low awareness category, including password management (53.73%), email usage (23.44%), internet usage (15.99%), social media usage (47.34%), device usage (47.63%), and incident reporting (45.57%). Only the information handling dimension reached a moderate awareness level with a score of 78.17%. These findings highlight the need for improved cybersecurity education and awareness programs to encourage safer digital transaction practices.
Sentiment Analysis and Word Association Patterns in Skincare Product Customer Reviews Alifi, Aliyah; Yustanti, Wiyli
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.v7i2.76813

Abstract

The growth of the skincare industry and the increasing activity of consumer reviews on e-commerce platforms have generated large text data containing customer opinions, experiences, and perceptions. This study aims to analyze sentiment and identify word association patterns in Indonesian-language customer reviews of skincare products. The literature review covers sentiment analysis, Natural Language Processing, the IndoBERT language model, Data Mining, Knowledge Discovery in Databases, as well as Association Rule Mining using the Apriori algorithm. The research method uses a quantitative approach based on KDD, which includes Data Selection, Preprocessing, Data Transformation, Data Mining, and interpretation and evaluation. Data was obtained through web scraping of skincare product reviews on the Shopee platform, resulting in 7,320 clean reviews. Sentiment analysis was conducted using IndoBERT with a Hybrid Linguistic approach to handle neutral rating ambiguities. The results of the sentiment classification were then used as the basis for analyzing word association patterns using the Apriori algorithm for each sentiment category. The findings indicate that IndoBERT is capable of classifying sentiment contextually, while Apriori successfully uncovers word patterns that represent product aspects such as quality, effectiveness, and user experience. This study concludes that the integration of sentiment analysis and word association patterns provides a more comprehensive understanding of consumer perceptions and can be utilized as a basis for strategic decision-making in the skincare industry.
Modular Evaluation of Key Components of User Experience Indrive Application Darmawan, Kennesty Ayustia; Suyatno, Dwi Fatrianto
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.v7i2.77208

Abstract

The InDrive application is an online transportation service that utilizes a fare negotiation system between users and drivers. In the highly competitive online transportation industry, user experience has become an important aspect that must be considered. This study aims to identify and analyze the user experience of the InDrive application using the Modular Evaluation of Key Components of User Experience (meCUE) 2.0 method with a quantitative descriptive approach. Research data were collected through the distribution of questionnaires to 170 active InDrive users in Indonesia using a purposive sampling technique. The questionnaire was structured based on the five modules of meCUE 2.0 and analyzed using descriptive statistical methods. The results indicate that the usefulness and usability aspects are categorized as high, while visual appearance, emotional reactions, as well as users’ intention to use and loyalty are categorized as moderate to fairly good. Overall, the user experience of the InDrive application is evaluated positively; however, improvements are still needed in several aspects to further enhance service quality.