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All Journal Ed-Humanistics : Jurnal Ilmu Pendidikan Jurnal Abdimas Kartika Wijayakusuma Journal of Informatics and Computer Science (JINACS) Indonesian Research Journal on Education Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Journal of Emerging Information Systems and Business Intelligence (JEISBI)
I Kadek Dwi Nuryana, I Kadek Dwi
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Religion Arts Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Business Intelligence Implementation For Hotel Room Reservation Data Analysis Nisa, Khoirotun; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): 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 Ilham, Mochammad Ilham Study Wartana; Nuryana, I Kadek Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 4 (2026): 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 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.
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.
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.
Co-Authors Abidin, Ananda Rizky Agustin, Putri Amelia Aisyiah, Jamilatul Akmala, Yulius Candra Al Hakim, Mochamad Muzayyid Andik, Achmad Ardiansyah, Fernando Aries Dwi Indriyanti, Aries Dwi Arsydi, Mohammad Dandi Auliyaurroshidin, Maulana Azharani, Gerin AZIZ Bagus, Bagus Laksono Yudo Atmojo Bashir, Alifia Octaviany Bayhaqi, Fachrul Bernika, Hilda Bharagus, Devanda Yudha Cahyaningrum, Avikatria Chlarasasti, Yefi Daniswara, Anak Agung Aryasatya Dewi Kumala Sari Dewi, Sherlyani Puspita Dzulfaqqor, Moh. Fatihul Farras Elwino, Elwino Alif Ramadhan Fadhila, Lizza Nur Faizatul Mukaromah Ferdani, Happy Septian Firdausi, Atika Shima Ghofur, Fauzan Ali Hadi, Febria Erliana Hamdani, Hilman Hanif, Zidny Hasan, Jamal Hasna, Widya Berlian Dliya Herviyandasari, Jasica Ardana I Gusti Lanang Putra Eka Prismana, I Gusti Lanang Putra Eka Ilham, Mochammad Ilham Study Wartana Iranti, Alda Maretina Istiqomah, Nurul - Kartikasari, Dinda Kirom, Mohammad Ulil Kumalasari, Nadya Kurniawati, Devi Riskhi Lailia, Mairatul Lathifatuz zuhroh Madani, Heru Galang Ardi Reda Maghfiroh, Saidatul Moch. Faisal Moerdyanto, Octarian Prasetya Mubaroq, Husnul Muizadin, Irwan Mujianto, Ahmad Heru Niasmara, Jeptika Herni Ningrum, Puspita Westi Erlitiya Nisa, Khoirotun Nur Alian, Galang Maftuh Nur Rahmatullah, Muhammad Rafi Atha Panama, Mochamad Ghozy Satur Prameswari, Alinda Ayu Pramudita, Genta Pratama, Kevin Krisna Adji Pratiwi, Dwi Septia Primasari, Bela Dwi Prismala, Darisva Putri, Amara Indah Putri, Intan Rahma Diana Rafeda Ramma, Rafif Ramadhan, Gemilang Idam Rengganis, Rohmanialuhri Rizqiyah, Anis Maulidatur Robbiatul Adawiyah Rohma, Riska Wahyuni Ainun Rohmadianto, Zidan Rosida, Aulia Mufidatur Sa'diyah, Lailatul Mukharromatus Salsabilah, Balqist Naurah Santoso, M Haries Eko Sari, Devit Etika Sari, Sindy Rosita Shihabudin, Ahmad Susanto, Deafitria Putri Ulumudin, Febri Nur Ustadha, Muchtarotun Novia Utomo, Ilham Wahyu Wicaksono, Satria Adi