Article Per Year (5 Year)
p-Index From 2021 - 2026
12.158
P-Index
This Author published in this journals
All Journal Journal of Information Systems and Informatics Ed-Humanistics : Jurnal Ilmu Pendidikan IJORER : International Journal of Recent Educational Research Jurnal Abdimas Kartika Wijayakusuma Abimanyu: Journal of Community Engagement Berkala Ilmiah Pendidikan Journal of Informatics and Computer Science (JINACS) Data Sciences Indonesia (DSI) Journal of Artificial Intelligence and Digital Business Journal Research of Social Science, Economics, and Management Indonesian Research Journal on Education Scientica: Jurnal Ilmiah Sains dan Teknologi Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Jurnal Ilmu Ekonomi, Pendidikan dan Teknik (IDENTIK) 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, I Kadek Dwi
Universitas Negeri Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 100 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 100 Documents
Search

 6   7   8   9   10 
TOPIC MODELING OF UNESA LAKE REVIEW ON GOOGLE MAPS USING LATENT DIRICHLET ALLOCATION (LDA) METHOD Kurrotul Uyun; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.69653

Abstract

User reviews on digital platforms hold valuable information that can be used to improve service quality. This study aims to explore the topics that appear in visitor reviews of Lake UNESA based on rating categories with a topic modeling approach using the Latent Dirichlet Allocation (LDA) method. The analysis process follows the stages in the Knowledge Discovery in Databases (KDD) framework, starting from the selection of Google Maps review data, text preprocessing (cleaning, letter normalization, tokenization, word normalization, and stopword removal), and data transformation into bag-of-words representation through bigram-trigram formation and dictionary-corpus creation. Topic modeling is performed using LDA, and the results are evaluated and interpreted through pyLDAvis and wordcloud visualization. Model validation is carried out through Word Intrusion Task and Topic Intrusion Task testing, with accuracy levels of 0.91 and 0.88, respectively. The results show that LDA is able to identify topics optimally. Each rating category produces different topics that represent visitor perceptions of aspects that are not yet available, still k-aspects such as atmosphere, cleanliness, culinary, and facilities. These findings are expected to provide data-based insights to support the development and management of Lake UNESA more effectively.
Analysis Of User Satisfaction Towards The ShopeePay Application Using The EUCS (End User Computing Satisfaction) Method Rafif Rafeda Ramma; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70125

Abstract

This study examines user satisfaction with the ShopeePay application using the End User Computing Satisfaction (EUCS) method. Despite some negative feedback regarding the payment system’s limitations and complexity, the research employed a quantitative approach with 160 respondents selected through purposive sampling. Data analysis was conducted using SmartPLS with Partial Least Squares Structural Equation Modeling (PLS-SEM) techniques to assess user satisfaction. The findings reveal that overall, users are satisfied with the ShopeePay application, indicating a positive reception of the platform. This research contributes to understanding consumer attitudes towards digital payment applications and provides insights for improving user experience in the rapidly evolving fintech sector. The study’s methodology and results offer valuable information for both researchers and practitioners in the field of mobile payment systems and user satisfaction analysis.
ANALYSIS OF USER SATISFACTION OF DANA APPLICATIONS USING THE END USER COMPUTING SATISFACTION (EUCS) METHOD AND DELONE AND MCLEAN METHOD Muchammad Sultan Triabidin; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70207

Abstract

This study aims to analyze the satisfaction of DANA application users. The development of technology today we see a new innovation in the form of digital payments which aims to facilitate non-cash transactions among the public. The model used in this research is End User Computing Satisfaction (EUCS) is a method for measuring the level of user satisfaction by comparing expectations and reality. DeLone and McLean is a model used to identify the factors that cause success. The results showed that the overall level of satisfaction of DANA application users was at a satisfied level. Some variables that can be improved again to have a significant effect are accuracy, easy of use, service quality, system quality, and timeliness. However, some variables that can be improved but do not have a significant effect are content, format, and information quality.
Business Process Analysis and Modeling Using the Business Process Model Notation (Bpmn) Method (Case Study: Simo Jaya Printing) Aziz; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 3 (2025): Vol. 06 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i3.70359

Abstract

Percetakan Simo Jaya is one of the providers of offset printing services in Surabaya. Percetakan Simo Jaya has constraints in managing its existing business processes. A business process is a set of tools used to organize activities in order to improve understanding of how these activities are interconnected to achieve a specific goal. In business process modeling, a method called Business Process Model and Notation (BPMN) is used, which is a standard for modeling business processes that provides graphical notation to describe them. The business processes at Percetakan Simo Jaya include the ordering process, raw material purchasing process, printing process, and the goods collection and delivery process. Based on the identified issues within the business processes at Percetakan Simo Jaya, this study will examine and propose improvements. The proposed improvements are expected to serve as a consideration for Percetakan Simo Jaya in refining its business processes to enhance service quality and operational effectiveness.
USER SATISFACTION ANALYSIS OF SIDIA UNESA BASED ON PERCEIVED USEFULNESS, SYSTEM, INFORMATION, AND SERVICE QUALITY Mukhtarul Fata An Nadwi; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 2 (2025): Vol. 06 Issue 02
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i2.70637

Abstract

SIDIA UNESA (Sinau Digital UNESA) is an information system that supports lectures and administration at Surabaya State University. The purpose of this study was to determine the effect of perceived usefulness, system quality, information quality, and service quality variables on user satisfaction of the SIDIA UNESA system. A preliminary survey of several Surabaya State University students revealed that they were not fully satisfied with the services provided by SIDIA UNESA because several obstacles were often experienced by students. The research used quantitative methods with an associative descriptive approach. The analysis method used is Structural Equation Modeling (SEM) with the help of the SmartPLS application. The population in this study were UNESA students who were actively studying, with a sample size of 115 respondents. The findings revealed that the variables of perceived usefulness, system quality, information quality, and service quality positively impact user satisfaction with the UNESA SIDIA system. Additionally, the variables of perceived usefulness, system quality, information quality, and service quality simultaneously impact user satisfaction with the UNESA SIDIA system.
DESIGN OF INVENTORY STOCK INFORMATION SYSTEM USING LARAVEL FRAMEWORK WITH FIFO METHOD Bagus Laksono Yudo Atmojo Bagus; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 3 (2025): Vol. 06 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i3.70863

Abstract

Toko Anugerah Rianto is a business engaged in retail, namely cosmetics since 2016, located in Rungkut, Surabaya. Of course, in running his business, the business owner has his own challenges in running it. Based on the results of interviews conducted with business owners, the obstacle in running their business is controlling the availability of stock in the warehouse. This obstacle is caused by the absence of recording incoming and outgoing goods so that stock-outs and inaccurate availability often occur. This problem causes consumers to wait for stock to be available. The purpose of this research is to design an inventory information system that can overcome the problems of the business being run. This design uses the Research and Development (R&D) method which consists of 4D (define, design, develop, disseminate). The stock inventory management method applied in this study is the First In First Out (FIFO) method where the first item in is the first item out to avoid expired goods. The result of this research is a website-based inventory information system that is a solution to the problems of Anugerah Rianto Store to support accurate data collection of incoming and outgoing goods.
Forecasting Book Inventory Needs at CV. Irmandiri Pustaka Using Holt-Winters Method Maulana Auliyaurroshidin; I Kadek Dwi Nuryana
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 3 (2025): Vol. 06 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i3.71248

Abstract

This study aims to forecast inventory needs at CV. Irmandiri Pustaka using the Holt-Winters Multiplicative method. The company distributes Student Worksheets (LKS), with seasonal demand that rises at the start of each semester. Accurate forecasting is crucial to manage inventory efficiently and avoid overstocking or shortages. Holt-Winters was chosen for its ability to capture both trend and seasonal patterns. The forecast uses sales data from January 2024 to June 2025. Forecast accuracy is evaluated using Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Error (MSE). Initial parameter settings produced high errors, prompting optimization through Excel’s Solver feature. The optimized parameters α = 0.01, β = 0.01, and γ = 0.04 reduced the MAPE to 25.19%. These results show that the Holt-Winters method can provide reliable inventory forecasts, especially after the second seasonal cycle, and serve as a helpful tool for inventory planning decisions.
Combining Purchase Value and Product Preferences for Fashion Retail Customer Segmentation Darren Waluya Ardianto; 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.v7i2.80883

Abstract

The rapid growth of transactions in the fashion retail industry produces large volumes of customer data whose behavioral patterns remain difficult to exploit when segmentation is performed manually and descriptively. Uniform mass marketing is particularly ineffective for premium fashion, where preserving brand exclusivity demands a more personal approach. This study develops a customer segmentation model that does not stop at grouping customers by transaction value, but also reveals the shopping-style preferences embedded within each segment, and presents the results through an analytical dashboard for business stakeholders. Recency, Frequency, and Monetary (RFM) parameters were derived from transaction data and transformed using logarithmic scaling and a Robust Scaler to handle skewed distributions and outliers. The parameters were then grouped with K-Means clustering, whose optimal number of clusters was determined through the Elbow Method, Silhouette Score, and Davies-Bouldin Index. Within each resulting cluster, Latent Dirichlet Allocation (LDA) was applied independently to uncover hidden purchase topics, which were interpreted as fashion-style personas. The findings show that 1,152 customers were divided into four tiers, with K=4 as the optimal configuration, supported by a Silhouette Score of 0.5952 and a Davies-Bouldin Index of 0.5644. LDA identified distinct style personas across tiers, with topic coherence shaped by each segment's vocabulary diversity. The resulting Streamlit dashboard passed all 45 functional test scenarios, confirming that integrating value-based and preference-based analysis yields richer customer profiles for targeted marketing.
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.
Co-Authors 'Ulhaq, Arafat A'izzatul Khiyana Achmad Asrori Ahmad Shihabudin Aininnisa, Firda Aisyiah, Jamilatul Akhmad Hilmy Zakaria Alifia Octaviany Bashir Amara Indah Putri Ananda Rizky Abidin Anandito Wisnu Widya Pratama Andini Pramesti Andrik Santoso, Muhammad Anggung Mestuti Kaprawiran, Immas Anis Maulidatur Rizqiyah ANITA ANDRIANI, ANITA Ardhini Aarih Utami Ardiansyah, Fernando Aries Dwi Indriyanti Aries Dwi Indriyanti, Aries Dwi Arif Hidayatullah, Arif Ariga Bahrodin Asriana Kibtiyah Augusta Jannatul Firdaus, Reza Aulia Mufidatur Rosida Aulina Naharul Kristanti Avikatria Cahyaningrum Aziz Bagas Setya Wicaksono Bagus Laksono Yudo Atmojo Bagus Bashir, Alifia Octaviany Billah, Hilmi Almuhtade Bonda Sisephaputra Burhan Hidayatulloh Cendra Devayana Putra Daniswara, Anak Agung Aryasatya Darren Waluya Ardianto Devanda Yudha Bharagus Devi Riskhi Kurniawati Egar Caesario Firmansyah Evita Widiyati Faizatul Mukaromah Fauzan Ali Ghofur Ferdani, Happy Septian Finna Nur Nandia Firmanda Himawan, Ahmad Fitrah Amaliah Gagah Ibnu Mutho’illah Galang Maftuh Nur Alian Gerin Azharani Ghea Sekar Palupi Ghea Sekar Palupi Hadi Sucipto, Hadi Hadi, Febria Erliana Hamdani, Hilman Hanif, Zidny Hasan, Jamal Hilal Hindi Saputra Husnul Mubaroq I Gede Adi Duta Saputra P. I Gusti Lanang Putra Eka Prismana, I Gusti Lanang Putra Eka Iftitaahul Mufarrihah Imam Muslih Intan Novita Sari Noer Qholby Maulidiyah Intan Rahma Diana Putri Irsyad Adi Rochman Ivander brian ramadhan Jasica Ardana Herviyandasari Jatminto, Joko Khiena Salsabiila Susanty Khoirotun Nisa Kurrotul Uyun Lailatul Mukharromatus Sa'diyah Laily Masruroh Lintang Iqhtiar Dwi Mawarni Lizza Nur Fadhila Madani, Heru Galang Ardi Reda Maharani, Herlina Syafhita Mahrus Ali Mairatul Lailia Margaretha Ekaristi Yobella Maulana Auliyaurroshidin Mochammad Ilham Study Wartana Ilham Moerdyanto, Octarian Prasetya Moh. Fatihul Farras Dzulfaqqor Mohammad Aris Saputra Mohammad Dandi Arsydi Mohammad Ulil Kirom Monica Cinthya Muchammad Sultan Triabidin Muchtarotun Novia Ustadha Muhammad Aswiandi Muhammad Hafizh Ferdiansyah Muhammad Naufal Ammar Rizqi Muhammad Naufal Baharudin Muizadin, Irwan Mujianto, Ahmad Heru Mukhtarul Fata An Nadwi Nadya Kumalasari Niasmara, Jeptika Herni Nugroho, Meriana Wahyu Nurul - Istiqomah Oki Kurniasari, Serly Oktaviana Tri Wulanndari Pramudita, Genta Prismala, Darisva Puspita Westi Erlitiya Ningrum Rafif Rafeda Ramma Ramadhan, Gemilang Idam Rizky Pratama Syahrul Ramadhan Robbiatul Adawiyah Rohmanialuhri Rengganis Rosida, Aulia Mufidatur Santoso, M Haries Eko Sari, Devit Etika Seriusman Waruwu Shuffy, Muhandis Suhartanto, Martin Suhendi, Laizim Tifanny Maulida Innayah Titin Sundari Totok Yulianto Ulumudin, Febri Nur Utomo, Ilham Wahyu Vania Nadhiya Tsary Wicaksono, Satria Adi Yulius Candra Akmala Yuninda Intan Zahra, Salsabila Nur Zahra