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All Journal Journal of Information Systems and Informatics IJORER : International Journal of Recent Educational Research Abimanyu: Journal of Community Engagement Journal of Informatics and Computer Science (JINACS) Data Sciences Indonesia (DSI) Journal of Artificial Intelligence and Digital Business Media Konstruksi : Jurnal Ilmiah Teknik Sipil Journal of Emerging Information Systems and Business Intelligence (JEISBI) Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi MURAKOM
I Kadek Dwi Nuryana
Universitas Negeri Surabaya
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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Business Process Digitization in “Marbil Collection” Home Industry Using Business Process Model and Notation Nadya Kumalasari; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.71001

Abstract

Digital transformation has become an essential requirement for small and medium enterprises, including home industries engaged in handicrafts such as bag production. However, most home industry players still run business processes manually, potentially causing various operational problems such as production delays, distribution inaccuracies, and order recording errors. This research aims to analyze and re-model business processes at Marbil Collection, a home-based business that produces bags on a make-to-order basis. The approach used was Business Process Model and Notation (BPMN), a visual standard for systematically describing business workflows. This research identified four main processes in operations, namely ordering, procurement of raw materials and production, distribution and order completion, and employee payroll. These processes were mapped in the current business process model (as-is), and then redesigned into a proposed model (to-be) that supports automation and digitization. The results of the modeling showed significant gaps in the manual system used, especially in terms of service speed, transparency, and documentation. The proposed digital process design provides a structured solution to improve efficiency, accuracy, and customer experience. This research is expected to be the basis for developing a simple information system that suits the needs of the home industry, as well as making a practical contribution to similar businesses that want to start digitalization from an understanding of their own business processes.
Clustering of Goat Buyers in West Java with K-Means Algorithm Faizatul Mukaromah; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72022

Abstract

The advancement of information technology has encouraged the utilization of data as a strategic resource across various fields, including the livestock sector. This study aims to implement the K-Means algorithm to segment goat buyers in West Java Province based on demographic characteristics such as age, marital status, geographic location, type of goat purchased, and transaction methods. This segmentation is expected to assist business actors in understanding purchasing patterns and designing more targeted marketing and distribution strategies. The study uses 1,250 transaction records and follows the stages of selection, preprocessing, transformation, data mining, and interpretation using the Knowledge Discovery in Databases (KDD) approach. Geographic distances between buyer locations and reference points were calculated using the Haversine formula. To determine the optimal number of clusters, the Elbow Method and Silhouette Score were used, with the best result obtained at a Silhouette score of 0.16 for 3 clusters. Each cluster was analyzed based on modal characteristics such as age, marital status, district, type of goat purchased, number of goats per transaction, purchase purpose, delivery method, payment method, as well as Recency, Frequency, and Monetary (RFM). The results indicate that the K-Means algorithm is effective in grouping goat buyers into relevant and meaningful segments. This information can be used by farmers and stakeholders to improve distribution efficiency, stock optimization, and data-driven marketing strategies. This study also emphasizes the importance of integrating technologies such as Python and Streamlit for interactive visualization and ID-based buyer tracking in advanced analytics.  
Implementation of Business Intelligence for Sales Analysis and Customer Segmentation at XYZ Store Gerin Azharani; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72050

Abstract

XYZ Retail Store has a large amount of transaction data, but it has not been optimally utilized for strategic decision making. The research aims to implement a Business Intelligence. Business Intelligence helps analyze sales data and segment key business entities, namely customers, suppliers, and products. The research methodology includes designing a datawarehouse using Kimball's Nine Step method with MySql as the database platform. Extract, Transform, Load (ETL) process is performed to prepare the data before processing with Online Analytical Processing (OLAP) approach for multidimensional sales analysis, and Data Mining with K-Means clustering algorithm to perform segmentation. The results obtained from the entire analysis, visualized using the tools of tableau.
Healthcare Data Analysis Through Business Intelligence: A Case Study With Power BI Avikatria Cahyaningrum; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72051

Abstract

This research aims to analyze hospital health data with the application of Power BI-based Business Intelligence (BI) to support a more precise and efficient decision-making process. The research data is taken from a public repository that provides a hospital management system database structure with complex inter-table relationships. The initial stages were carried out with the ETL (Extract, Transform, Load) process to integrate and clean the data before being entered into the data warehouse with the star and galaxy schema model. Next, analysis was conducted using Online Analytical Processing (OLAP) for medical service usage and other trends. In addition, the application of data mining using the Random Forest algorithm is also carried out for the classification of hospital busyness levels and prediction of patient re-visits based on historical data.
Business Intelligence Implementation For Hotel Room Reservation Data Analysis Khoirotun Nisa; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72053

Abstract

The growth of the hotel industry in Indonesia is driven by increasing mobility for business and tourism purposes. However, this growth presents new challenges in hotel management, particularly in analyzing customer behavior, optimizing room availability, and making strategic decisions. Manual management of reservations and customer data is considered ineffective. This study implements Business Intelligence (BI) for analyzing hotel reservation data from 2022–2024 using OLAP and data mining techniques. BI enables the analysis of room popularity, active customer identification, payment method trends, and customer profiles. Additionally, this study applies clustering for room segmentation and forecasting methods to predict future income and reservation trends. Data is processed using ETL into a star schema-based data warehouse, visualized through Power BI dashboards. Results show that BI provides valuable insights into customer behavior, room occupancy trends, and financial performance, supporting management in improving operational efficiency and revenue.
Implementation of AI Number Generator and A Using GDLC in Android Games Mochammad Ilham Study Wartana Ilham; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2025): Vol. 06 Issue 04
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i4.72061

Abstract

The rapid development of information technology has brought significant changes in various aspects of life, including cultural preservation through digital media. Traditional Indonesian games such as sack racing and hide-and-seek have experienced a decline in interest among the younger generation due to modernization. This research aims to develop Android-based offline games of sack racing and hide-and-seek with the implementation of artificial intelligence (AI) using the Random Number Generator (RNG) algorithm for sack racing games and the A* pathfinding model algorithm for hide-and-seek games. The development methodology used is Game Development Life Cycle (GDLC) with Unity as the main game engine. The implementation of RNG in the sack racing game serves to produce dynamic and unpredictable NPC behavior, such as variations in jump speed and movement patterns. While the A* algorithm pathfinding model in hide-and-seek game allows the searcher NPC to find the optimal path in searching for hiding players, creating a realistic and challenging gaming experience. This research uses functional, performance, and user experience testing to evaluate the effectiveness of the AI implementation.
Analysis Of User Satisfaction Towards The Telegram Application Using The EUCS (End User Computing Satisfaction) Method Yulius Candra Akmala; I Kadek Dwi Nuryana
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.
IOT-BASED AUTOMATIC WATERING SYSTEM FOR TOMATO PLANTS WITH SOIL MONITORING Devanda Yudha Bharagus; 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.v7i2.76210

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.
Analysis of Information Security Awareness Levels Using Multiple Criteria Decision Analysis : Case Study of Digital Transaction Application Users in Surabaya Fauzan Ali Ghofur; 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.v7i2.76571

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.
Implementasi Sistem Informasi Perpustakaan pada Sekolah Indonesia Davao Filipina Menggunakan CMS SLiMS Bonda Sisephaputra; I Kadek Dwi Nuryana; Aries Dwi Indriyanti; Ghea Sekar Palupi
Abimanyu : Jornal of Community Engagement Vol 6 No 2 (2025): August 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service aims to develop a Library Information System at Indonesian School of Davao, Philippines, to improve the efficiency of library management and the accessibility of learning resources for students and teachers. The system was built using the Content Management System (CMS) SLiMS, an open-source platform designed for managing library operations digitally, including inventory recording, book lending, and returns. In implementing this Community Service Program (PKM), the methods used to address the problems at Indonesian School of Davao (SID) were the Diffusion of Science and Technology (Ipteks) and Training. This activity also involved continuous evaluation to ensure the success of the program. The results showed increased efficiency in library management, easier access to information, and improved skills of library staff in using CMS SLiMS. In conclusion, the application of information technology through CMS SLiMS in the library of Indonesian School of Davao has contributed positively to enhancing the teaching and learning process.
Co-Authors 'Ulhaq, Arafat A'izzatul Khiyana Achmad Asrori Adi Duta Saputra P., I Gede Aininnisa, Firda Akhmad Hilmy Zakaria Andini Pramesti Andrik Santoso, Muhammad Anggung Mestuti Kaprawiran, Immas Ardhini Aarih Utami Aries Dwi Indriyanti Augusta Jannatul Firdaus, Reza Avikatria Cahyaningrum Bagas Setya Wicaksono Billah, Hilmi Almuhtade Bonda Sisephaputra Cendra Devayana Putra Devanda Yudha Bharagus Faizatul Mukaromah Fauzan Ali Ghofur Finna Nur Nandia Firmanda Himawan, Ahmad Fitrah Amaliah Gagah Ibnu Mutho’illah Gerin Azharani Ghea Sekar Palupi Ghea Sekar Palupi Hadi Sucipto, Hadi Hilal Hindi Saputra Iftitaahul Mufarrihah Innayah, Tifanny Maulida Intan Novita Sari Noer Qholby Maulidiyah Irsyad Adi Rochman Khiena Salsabiila Susanty Khoirotun Nisa Lintang Iqhtiar Dwi Mawarni Maharani, Herlina Syafhita Mahrus Ali Margaretha Ekaristi Yobella Mochammad Ilham Study Wartana Ilham Mohammad Aris Saputra Monica Cinthya Muhammad Aswiandi Muhammad Hafizh Ferdiansyah Muhammad Naufal Ammar Rizqi Muhammad Naufal Baharudin Mujianto, Ahmad Heru Nadya Kumalasari Nugroho, Meriana Wahyu Oktaviana Tri Wulanndari Rizky Pratama Syahrul Ramadhan Seriusman Waruwu Shuffy, Muhandis Suhartanto, Martin Sultan Triabidin, Muchammad Titin Sundari Totok Yulianto Vania Nadhiya Tsary Yulius Candra Akmala Yuninda Intan Zahra, Salsabila Nur Zahra