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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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Comparative Analysis Of Laravel, Lumen, Guzzle, Leaf, and Slim Framework Performance On Rest API Using One Way Anova Moch. Faisal; Nuryana, I Kadek Dwi
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.v6i2.66146

Abstract

The rapid advancement of technology has increased the importance of selecting the right framework for RESTful API development. This study compares the performance of five popular PHP frameworks—Laravel, Lumen, Guzzle, Leaf, and Slim—in terms of response time, CPU usage, memory usage, throughput, and error rate. Using Apache JMeter as the testing tool, load testing was conducted across various endpoints with simulated virtual users (up to 75 users). The methodology involved designing a RESTful API with a PostgreSQL database, implementing it using the five frameworks, and performing load tests to measure the defined performance parameters. Statistical analysis using One-Way ANOVA was conducted to determine significant performance differences among the frameworks. The results indicate that each framework has distinct strengths and weaknesses under specific conditions. Frameworks like Lumen and Guzzle demonstrated superior performance in terms of response time and CPU usage, while Slim performed better with higher throughput under certain scenarios. These findings provide critical insights for developers and decision-makers in selecting the most efficient framework based on project requirements. Keyword: RESTful API, PHP frameworks, performance analysis, load testing, Apache JMeter, One-Way ANOVA.
A Comparative Analysis Opinion Mining Sea Games On Social Media Lathifatuz zuhroh; Nuryana, I Kadek Dwi
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.v6i2.66875

Abstract

Twitter is a social media platform that is freely accessible to everyone. As a result, numerous social phenomena and issues quickly emerge and spread globally through users' tweets. The 2023 SEA Games in Cambodia was no exception, as it sparked public opinion, particularly among Indonesian citizens, due to several incidents during the event that were considered unethical or inappropriate. This study aims to analyze public sentiment regarding these events using the C5.0 and Naïve Bayes algorithms. The performance of both algorithms will be compared to determine which one yields better results. The dataset consists of 1,000 tweets collected between March 14 and April 14, 2023. The findings indicate that Naïve Bayes outperforms C5.0, achieving an accuracy of 70%, compared to 67% for C5.0 . Keyword: Twitter, Sentiment Analysis, Naïve Bayes, C5.0, Sea Games.
Broiler Chicken Meat Production Process Modeling at UD. Hari Ayam Using the Business Process Model and Notation (BPMN) Method Elwino, Elwino Alif Ramadhan; Nuryana, I Kadek Dwi
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.v6i2.69788

Abstract

Hari Ayam is a business that has been operating since 1988 and currently produces around 100–150 kilograms of chicken meat per day. The production process covers everything from processing to distribution to customers. However, the business faces several challenges, particularly the lack of clear and standardized documentation of its business processes. This issue makes it difficult to objectively assess performance or improve efficiency. In addition, the entire operation still relies heavily on the owner, resulting in a high workload and a lack of optimal task delegation. The absence of proper records related to transactions, production, income, and expenses further complicates the overall management of the business. This study aims to apply the Business Process Model and Notation (BPMN) method using the Bizagi application to map out the chicken meat production process at UD. Hari Ayam. The research focuses on the production and distribution stages and is limited to the design phase of the business process lifecycle. Through evaluation and simulation, the study is expected to provide a more efficient and structured view of the business processes. The results are intended to offer practical input for the business owner to improve workflow, enhance operational efficiency, and facilitate better oversight in support of the company’s future development.
Evaluating User Acceptance of KAI Access: A Comparison of TAM and UTAUT Susanto, Deafitria Putri; Nuryana, I Kadek Dwi
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.v6i2.70116

Abstract

This study aims to analyze and compare two technology acceptance models Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) in measuring user acceptance of the KAI Access mobile application in Surabaya. The research adopts a quantitative approach, using questionnaires distributed to 200 active users of the KAI Access app. Data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM) with SmartPLS software. Results show that all variables in the TAM model significantly influence behavioral intention, particularly perceived usefulness and perceived ease of use. Meanwhile, in the UTAUT model, only effort expectancy and facilitating conditions have a significant effect. The R-square and Q-square values indicate that TAM has stronger predictive capability than UTAUT in this context. These findings offer useful insights for improving the KAI Access application and can serve as a reference for future research on technology acceptance in public digital services.
Analysis Of User Satisfaction Towards The ShopeePay Application Using The EUCS (End User Computing Satisfaction) Method Rafeda Ramma, Rafif; Nuryana, I Kadek Dwi
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.
Business Process Reengineering of The New Installation Process at PDAM Tirta Agung to Improve The Company's Business Performance Nur Alian, Galang Maftuh; Nuryana, I Kadek Dwi
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.v6i3.64497

Abstract

In increasingly complex business developments, companies are required to optimize business processes to be more effective and efficient. In addition, customer complaints are important feedback for companies to carry out evaluations to maintain their reputation in the eyes of customers. This study takes a case study on PDAM Tirta Agung, which provides clean water services in Babat District. Referring to interviews and observations, it was found that the legacy system used in the new installation business process has been running for more than four years and is considered inefficient, and time-consuming. Complaints from customers regarding the length of the installation process show that there is a need for repairs. Therefore, the Business Process Reengineering (BPR) method is proposed as a solution to improve service quality. BPR aims to implement radical changes to business processes so that companies can improve speed, accuracy, and cost efficiency, in accordance with the theory put forward by Hammer & Champy.
Design and Development of Raw Material Inventory System for “Es Barbar” SME Using the Material Requirement Planning Method Arsydi, Mohammad Dandi; Nuryana, I Kadek Dwi
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.v6i3.65777

Abstract

The difficulty in managing raw material inventory has become a major challenge for the UMKM Es Barbar, leading to imbalances such as shortages or excess materials, which hinder operational smoothness. This study aims to design and develop a web-based information system using the Material Requirement Planning (MRP) method to improve raw material management efficiency. With the System Development Life Cycle (SDLC) approach using the waterfall model, the system was designed through stages of communication, planning, modeling, construction, and implementation. The results show that the application of the MRP method successfully reduced stock shortages by 95% and excess stock by 85%, as well as improved the accuracy of raw material planning based on the Master Production Schedule (MPS) and Bill of Materials (BOM). This system facilitates precise raw material requirement planning, supports decision-making, and reduces waste, there by having a positive impact on the operational efficiency of UMKM Es Barbar.
Prediction of Goods Damage in Land Transportation Services (Trucking) Using Naïve Bayes Dzulfaqqor, Moh. Fatihul Farras; Nuryana, I Kadek Dwi
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.v6i3.66306

Abstract

Land transportation plays a crucial role in supporting economic dynamics, yet cargo damage remains a significant challenge that affects the supply chain, efficiency, customer satisfaction, and financial stability. This research aims to analyze the factors influencing cargo damage and predict its likelihood using the Naïve Bayes classification algorithm. A case study was conducted at PT. Tuntas Smart Solusi, a logistics company in Gresik, Indonesia. The Knowledge Discovery in Databases (KDD) framework was employed to process historical shipping data from 2021 to 2023, incorporating variables such as cargo type, shipping route, weather conditions, and load capacity. The results indicate that adverse weather conditions, excessive load weight, and rough routes significantly contribute to cargo damage rates. The Naïve Bayes classifier demonstrated high predictive accuracy, validated using k-fold cross-validation, proving its effectiveness in logistics risk assessment. The findings offer strategic recommendations for logistics companies to minimize damage risks, including optimized packaging strategies, route selection improvements, and predictive monitoring systems. By integrating machine learning-based predictive analytics, logistics firms can enhance operational efficiency, reduce financial losses, and improve overall service quality.
Business Process Analysis and Modeling Using the Business Process Model Notation (Bpmn) Method (Case Study: Simo Jaya Printing) Aziz; Nuryana, I Kadek Dwi
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.
DESIGN OF INVENTORY STOCK INFORMATION SYSTEM USING LARAVEL FRAMEWORK WITH FIFO METHOD Bagus, Bagus Laksono Yudo Atmojo; Nuryana, I Kadek Dwi
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.
Co-Authors Abidin, Ananda Rizky Agustin, Putri Amelia Aisyiah, Jamilatul Al Hakim, Mochamad Muzayyid Andik, Achmad Ardiansyah, Fernando Aries Dwi Indriyanti, Aries Dwi Arsydi, Mohammad Dandi Auliyaurroshidin, Maulana AZIZ Bagus, Bagus Laksono Yudo Atmojo Bashir, Alifia Octaviany Bayhaqi, Fachrul Bernika, Hilda Chlarasasti, Yefi Daniswara, Anak Agung Aryasatya Dewi Kumala Sari Dewi, Sherlyani Puspita Dzulfaqqor, Moh. Fatihul Farras Elwino, Elwino Alif Ramadhan Fadhila, Lizza Nur Ferdani, Happy Septian Firdausi, Atika Shima 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 Iranti, Alda Maretina Istiqomah, Nurul - Kartikasari, Dinda Kirom, Mohammad Ulil 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 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 Shihabudin, Ahmad Susanto, Deafitria Putri Ulumudin, Febri Nur Ustadha, Muchtarotun Novia Utomo, Ilham Wahyu Wicaksono, Satria Adi