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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 122 Documents
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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.
Information System Architecture in Local Government (A Case Study at XYZ Local Government) Thowimma, One; Muhammad Hanafi; Amrozi, Yusuf
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.1553

Abstract

Implementing information systems within public organizations often encounters failures, one of which stems from inadequate information system planning. This issue also occurs in local government sectors, where the procurement and development of information systems must be preceded by proper planning. Information system architecture—or the planning framework for developing an information system—is therefore essential. This study aims to describe an information system architecture model for local government as part of developing a strategic plan (blueprint) related to information technology (IT). The architecture is designed for the regional financial management sector, illustrating application architectures based on identified needs and providing guidance for IT implementation solutions within the local government.
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

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

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.
Android-based Nahdlatut Turots Manuscript Application Mochammad Irfan Efendi; Dwi Cahyono
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.7107

Abstract

The digitization of Turots manuscripts by Nahdlatut Turots is an important step in preserving Islamic intellectual heritage, which is vulnerable to deterioration. Turots refers to the works of scholars in fields such as fiqh, tauhid, tasawuf, and Arabic language, often written in Arabic script or Pegon. This research aims to develop an Android-based application to facilitate the digital preservation and management of kitab Turots. The application is designed to improve access to classical books and create opportunities for further research. Through this application, it is expected that the preservation of kitab Turots will be enhanced, accessibility will be increased, and the digital conservation of Nusantara scholars' intellectual heritage will be supported. The system is developed using the System Development Life Cycle (SDLC) with the Rapid Application Development (RAD) model to accelerate the development process while ensuring system quality. The Technology Acceptance Model (TAM) is used to evaluate user acceptance, measuring perceived usefulness, ease of use, and behavioral intention to use. Additionally, Google Cloud computing services are integrated to enhance storage, security, and scalability, ensuring seamless access to digital manuscripts. The system is tested using the black-box testing method to verify functionality.
Application of Robotics Project-Based Learning to Improve Elementary School Student's Technological Literacy breva yunanda, anton; Kridoyono, Agung; Sidqon, Mochamad; Yuwono, Istantyo
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.7359

Abstract

This research aims to analyze the effectiveness of project-based learning in increasing technological literacy in elementary school students. Activities were carried out for three months for 25 class V students at SDN Margorejo 1 Surabaya. The material includes an introduction to basic electronic components, sensors, and simple robot assembly such as line follower and obstacle avoidance. The research used a mixed-method approach with a one-group pretest-posttest design. The main instruments are a technology literacy test and a participatory observation sheet. The results showed an increase in the average score from 48.2 (pretest) to 78.4 (posttest), with the t-test results showing significance (p < 0.05). Qualitatively, students show high enthusiasm, increased curiosity, as well as collaborative and problem-solving abilities. These results indicate that robotics project-based learning is effective in increasing the technological literacy of elementary school-aged children and is worthy of being integrated into basic STEM learning.
Automatic Network Failure Detection Feature in IT Helpdesk Application PKG V2 at PT. Petrokimia Gresik Fauzan, Subhan; Sukaridhoto, Sritrusta; Khoironi, Khoironi
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.7768

Abstract

The IT Helpdesk application at PT Petrokimia Gresik faced significant challenges with the initial version (V1), which relied heavily on manual incident reporting. This led to delays and errors, especially in managing urgent issues for high-priority users, such as executives. To address these limitations, Helpdesk TI PKG V2 was developed, incorporating an automatic network failure detection feature. This enhanced version integrates Zabbix, an open-source network monitoring tool, to detect network issues like high latency, packet loss, and downtime in real-time, without requiring user input. When an anomaly is detected, Zabbix sends an alert to the Laravel-based backend system via webhook, where the issue is logged, and a helpdesk ticket is automatically created. Additionally, to ensure quick responses from the network support team, real-time notifications are sent to a Telegram group. This feature allows staff to receive alerts on their mobile devices, enabling faster action even when they are away from their desks. The integration of Telegram notifications ensures that network issues are promptly addressed, improving service continuity for critical users. The implementation of these features has significantly improved incident response times, reduced manual workload, and enhanced overall operational efficiency.
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.
Implementation of Black Box Testing and Usability Testing on the PPDB Website of YPP Nurul Huda Surabaya Farhani, Alivia Rahma; Pamungkas, Aji Bayu; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.8362

Abstract

This study aims to evaluate the quality of the PPDB (online student admission) website of YPP Nurul Huda Surabaya using black box testing and usability testing approaches. The black box method was applied to assess the functional performance of the available features, while usability testing was employed to measure user satisfaction using the USE questionnaire. The black box test results indicate that all features operate correctly, and the usability testing produced a score of 0.90, which is close to the ideal value. These findings demonstrate that the website meets the criteria of a well-designed information system and is suitable for use in the PPDB process.
Implementation of Black Box Testing and System Usability Scale on the Nurul Huda Financial Recording Information System Ramadan, Mohammad Noval; Ramadhani, Muhammad Azka Robith; Handayani, Chika Tunas; Sulistiyani, Endang; Budiarti, Rizqi Putri Nourma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 7 No 2 (2024): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v7i2.8365

Abstract

This study was conducted to evaluate the performance of the Nurul Huda Foundation’s financial recording information system using two assessment methods: Black Box Testing and usability measurement through the System Usability Scale (SUS). Black Box Testing was applied to ensure that all system features operate as intended, while usability testing was carried out to determine the level of comfort and ease experienced by users when interacting with the system. The results of the Black Box Testing indicate that out of 111 test scenarios, 89 passed successfully and 22 experienced minor failures that remain within acceptable improvement limits. Meanwhile, the usability testing involving 20 respondents produced an average SUS score of 84.5, demonstrating that the system meets the criteria of being user-friendly and positively received by users. Based on SUS interpretation guidelines by Bangor, this score falls into Grade A with an “Excellent” rating, is categorized as “Acceptable,” and is classified under the Net Promoter Score (NPS) group of “Promoter”.

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