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Rizqi Putri Nourma Budiarti
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Applied Technology and Computing Science Journal
Published by Universitas Nahdlatul Ulama Surabaya
ISSN : 26214458     EISSN : 26214474     DOI : https://doi.org/10.33086/atcsj
Core Subject : Social, Engineering,
Engineering Social Sciences
Applied Technology and Computing Science Journal ( ISSN 2621-4458, E-ISSN 2621-4474) is a journal on all aspect of applied technology natural science that published online by Faculty of Engineering – University of Nahdlatul Ulama Surabaya. This journal published periodically twice in a year (on June and December) to accommodate the researcher from all over the world who want to publish the results of their research and contribution with all variety topics related to Engineering, Applied Computer Modelling and Simulation, Information System, Computer Science, Forecasting, Computer Applications, Expert System, E-Government, E-Business, E-Commerce, Information Security, Big Data, Intelligent System, Data Analysis, Data Mining, Smart City.
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Articles 6 Documents
 1 
Search results for , issue "Vol 8 No 1 (2025): June" : 6 Documents clear
Optimizing Course Scheduling Efficiency through Genetic Algorithms Nur Shabrina Meutia; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v8i1.7307

Abstract

Course scheduling is an important aspect of educational administration in academic institutions. An effective procedure enhances students' educational experience, maximizes resource utilization, and lowers operational expenses. However, course scheduling often faces various constraints and complexities, such as limited space, time and human resources. Therefore, an effective and efficient approach is needed to solve the course scheduling problem. This study implements the genetic Algorithm to solve the problem of optimization course scheduling. This study intends to develop a course scheduling application using genetic algorithm to enhance the effectiveness of course scheduling in educational institutions. There are 8 genetic algorithm procedures for solving problems in this research; Encoding techniques, initial population, fitness function, selection, crossover, mutation, elitism and the condition of iteration is complete when the maximum has been reached, and the fitness value is 1. The best result from 25 iteration and 15 population found at probability of crossover is 0,5 and mutation rate is 10%. The lowest fitness value is 0,09 with the fastest execution time, that is 395 seconds for subjects in odd semester and 563 seconds for subjects in even semester.
Measuring Service Quality for Bakeries in Central Jakarta using the CSI and IPA Methods: Measuring Service Quality for Bakeries in Central Jakarta using the CSI and IPA Methods Rahayu, Fuji; Herlina, Herlina; Wijaya, Maekel Tan
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

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Abstract

One of the companies engaged in the food industry (bakery) which is well known to many people in Indonesia is PT. Mustika Citra Rasa or better known as Holland Bakery. The results of the GMP audit show that the average GMP value for the Holland Bakery counter in the Central Jakarta area is below 75% which is the standard for the Holland Bakery company. Therefore, research is needed to determine customer satisfaction and improvements that need to be made for customer satisfaction. This study uses the Customer Satisfaction Index (CSI) method to identify customer satisfaction, the Servqual method identifies attribute gaps that cause dissatisfaction with service implementation, the Importance Performance Analysis (IPA) method to determine the variables that need improvement by dividing them on a Cartesian diagram. This study shows that customer satisfaction is in the satisfied category with an index value of 80.64%, obtained 14 attributes have a negative gap, 9 attributes are in quadrant I and 1 attribute is in quadrant III, the order of priority in improving service quality for 10 attributes that are in the priority quadrant, and SOPs that can be carried out to overcome the causes of problems or improve service quality.
Optimizing Library Visitor Satisfaction Analysis with Machine Learning Nurahman, Yeni Fitria; Yuadi, Imam
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

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Abstract

In today’s increasingly digital era, libraries continue to play a vital role as centers of information, knowledge, and culture. Despite the widespread availability of online information, libraries remain essential for providing diverse resources, services, and convenient facilities. The role of libraries has evolved to meet the needs and expectations of visitors, requiring ongoing innovation in services and amenities to ensure user satisfaction. This study aims to assess the level of visitor satisfaction at UNUSA Library regarding the services provided. The research utilized questionnaire data, initially collected from 802 respondents, of which 224 valid responses were analyzed. Furthermore, this study compares the predictive performance of three machine learning methods K-Nearest Neighbor, Decision Tree, and Support Vector Machine to determine which method achieves the highest accuracy in predicting visitor satisfaction. The analysis was conducted using the Orange Data Mining application as the prediction model. The results indicate that library visitors generally report a high level of satisfaction, with certain services rated more positively than others, and that machine learning models can effectively predict satisfaction levels based on visitor feedback.
Automatic Issue Classification Feature and Generative Standard Operating Procedure in IT Helpdesk Application PKG V2 at PT. Petrokimia Gresik Hardian, Shera Zahra Alya Nasywa; Sukaridhoto, Sritrusta; Prasetyo, Joko
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

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Abstract

Effective Information Technology (IT) incident management is a crucial need in large-scale enterprise environments such as PT Petrokimia Gresik. Therefore, this final project develops an automated issue prioritization classification feature and an AI-based generative solution mechanism within the Helpdesk TI PKG V2 application. By utilizing the Naïve Bayes algorithm for issue classification and integrating the ChatGPT API for automated SOP-based solution generation, the system aims to overcome the limitations of previous manual processes. The expected outcomes include improved efficiency in incident handling, higher accuracy in prioritization, and faster responses through relevant and informative solutions. During testing, the incident classification model demonstrated satisfactory performance, particularly in identifying extreme urgency levels. Additionally, the automatically generated SOP solutions proved to be relevant and aligned with internal handling procedures. The system is evaluated through functional testing and user acceptance testing to ensure its optimal implementation in a dynamic and complex work environment.
Performance Comparison of Automated Website GUI Testing Tools: A Study of Selenium IDE, Katalon Studio, UI.Vision, and BugBug Rozi, Muhammad Javier Dafa; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

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Abstract

Software testing consumes approximately 50% of development time and cost. One of the most commonly used testing activities is GUI testing, which is still frequently carried out manually. In manual testing, testers often repeat the same actions multiple times, increasing the risk of human error. In contrast, automated testing utilizes specialized tools to minimize these errors. Therefore, selecting the right tool and understanding its performance are crucial. Previous studies on automated testing generally focused only on implementing test objects without evaluating the actual performance quality of the tools used. There are many automated testing tools available that offer capture-and-replay features, such as Selenium, Katalon Studio, UI.Vision, and BugBug. This study compares the performance of these tools for website GUI testing using two parameters: execution time and encountered issues. A total of 21 test cases were designed and executed by the researcher. The execution results show that Katalon Studio, UI.Vision, and BugBug successfully completed all test cases as expected. However, Selenium failed to execute 5 test cases due to its inability to perform hover dropdown actions. In contrast, Katalon Studio, UI.Vision, and BugBug did not encounter issues during execution. In terms of test execution time, Katalon Studio recorded the fastest average time at 6.15 seconds, followed by Selenium. UI.Vision and BugBug required longer execution times, with average times of 20.85 seconds and 22.8 seconds respectively.
Integration of ITIL V3, COBIT 5, and Service Desk Standards in IT Service Desk Design Alfadina, Afni Virda; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 1 (2025): June
Publisher : Universitas Nahdlatul Ulama Surabaya

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

Abstract

Software testing is a critical phase in the software development life cycle, consuming more than 50% of the total time and resources. One important activity within this phase is the creation of test cases, which can be problematic, particularly when done manually, due to the significant time and resources required. To address this, test case generation can be automated using two main approaches: based on program code or design models. Generating test cases at the design level using UML has been shown to be more time- and cost-efficient than generating them from code. Previous studies have focused on creating test cases using a single UML diagram or a combination of two UML diagrams, producing satisfactory results but with limitations in covering all possible execution paths of the software. To overcome these limitations, this study proposes a combination of three UML diagrams such as activity diagrams, sequence diagrams, and state diagrams using the Depth-First Search (DFS) algorithm. The proposed approach involves three major stages: preparation, execution, and evaluation. By combining these three UML diagrams, it is expected that the method will generate the maximum number of test cases, ensuring comprehensive coverage of all software paths with minimal issues.

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