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Muhammad Wali
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International Journal Software Engineering and Computer Science (IJSECS)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764869     EISSN : 27763242     DOI : https://doi.org/10.35870/ijsecs
Core Subject : Science,
Computer Science & IT
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 387 Documents
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Precision Agriculture System with IoT: An Approach to Increase Production and Efficiency Mochammad Rif’an; Kurniawan Dwi Irianto
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3259

Abstract

The application of IoT technology in the agricultural industry has significantly increased efficiency and productivity. In this study, a smart irrigation system that utilizes soil temperature and humidity sensors and NodeMCU ESP8266 and ESP32 units will be explained for its implementation. The NRF24L01 module is a wireless sensor module used to transmit data wirelessly and allows it to cover a wide range. Now, farmers can monitor and control the irrigation system remotely through the Blynk application. Tests show that crops managed through the IoT system have more consistent soil and air conditions and more efficient temperature and humidity control. Therefore, this precision agriculture system utilizes IoT and NRF24L01 to improve water and energy efficiency and encourage sustainability efforts in addressing climate change and increasing global food demand
Web-Based Information System for the Disposition of Entry Letters in South Sumatra Province Rissa Rapica Amalia; Suyanto; Leon A. Abdillah; M. Nasir
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3262

Abstract

Technological developments in the government office environment are increasingly developing, as well as government agencies having to modernize administration, such as in the administrative section for managing incoming mail. There are many types of letters that enter agencies every day with different needs. These incoming letters are waiting to be followed up (dispositioned) by administrative leaders for further processing at the South Sumatra provincial Dispora service. Over a long period of time and a large number of incoming letters every day, conventional recording methods have become less effective and can cause losses to the service, including lost and scattered letters. In this research, the author aims to create a website-based information system for the disposition of incoming letters at the South Sumatra Province Dispora office. The method used is web engineering and building an information system using the recurring acronym programming language Hypertext Preprocessor (PHP), CodeIgniter Framework and MySQL as the database. This website was created to make it easier for the work of managing incoming mail at the South Sumatra Province Youth and Sports Office to run well and optimally, by creating a website to automate incoming mail into electronic mail in the South Sumatra Province Youth and Sports Office
Generative Artificial Intelligence: Trends, Prospects, and Implications for the Creative Industry and Synthetic Data Alkautsar Rahman; Caroline; Novita Souisa
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3274

Abstract

Generative AI Generative AI has gained traction in both the creative industry and synthetic data generation. Trends and Directions in Generative Artificial Intelligence Research Aims and Research Questions This study explores the trends, possibilities and consequences of synthetic AI using both quantitative and qualitative methods. Methods We will collect information by reviewing literature, surveying 150 professionals and academic researchers, and conducting 20 semi-structured interviews with experts and industry leaders. Analysis of the reviewed literature reveals the large and growing popularity of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) as the two most prominent methods, but also the hike in popularity for transformers. Most respondents in the survey have used generative AI. The study found that 85% of respondents have experience with such AI, and eight-out-10 see it enabling increased creativity and innovation (90%), efficiency and scalability (80%) and the algorithmic provision of data as training sets for model training (75%). However, generative AI also faces challenges such as output quality (60%), complexity and computation (55%), and ethical and legal implications (70%). Interviews with experts added a deeper perspective, emphasizing the importance of transparency, accountability, and clear regulation. Quantitative and qualitative data analysis shows that generative AI has significant potential but needs improvement in technical and ethical aspects. The study's recommendations include improving output quality, computational efficiency, developing regulations, and committing to transparency
Implementation of Android-Based Salon Booking Application for Customer Service Optimization Tegar Bayu Samudra; Afwan Anggara
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3279

Abstract

Most beauty salons are still using manual system to manage booking and customer, which made queue long, record incorrect and customer frustrated. Purpose of this research is to create an Android based Salon booking application for IKA Salon (which fulfill operational needs) and thus increase service quality and enhance the customer satisfaction. This study is done by use of Research and Development (R&D) model which consists needs analysis followed by design development system testing. We built it using Flutter (the framework) and Firebase for real-time storage and management of data. It offers user registration, login, service scheduling(booking), customer data management etc Key findings show that application can resolve some manual problems like also queuing, scheduling improvement and recording errorless operation. Additionally, the app brings major improvements in operations and client happiness. Serving mobile service booking and management of schedule, customer data in real-time makes the application play an optimising role for a salon and help its growth of business
Development of a Web-Based SQL Query Online Examination System with Automated Grading Using the MVC Design Pattern Yoppy Yunhasnawa; Atif Windawati; Toga Aldila Cinderatama; Candra Bella Vista; Moch. Zawaruddin Abdullah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3285

Abstract

In this study, the Researchers provide the design, development, and evaluation of a web-based SQL exam system that utilizes the Model-View-Controller (MVC) architectural pattern to enhance automated grading functionality and ease of maintenance. The main objectives of the system are to simplify the process of administering SQL exams, to make it user-friendly for students to enter their SQL statements, and as a means for teachers to automate the grading process. This allows a clear separation between three separate modules: Model to manage data, View to present the application to users, and Controller to manage the application logic. This separation allows for modular development, easier maintenance, and code reuse. The fundamental aspect of the system lies in its automated grading mechanism, which intelligently compares the SQL queries submitted by students with the corresponding validated answer keys stored in the database. Extensive black-box testing was conducted to ensure the reliability and accuracy of the system with various test cases to assess its ability to assess responses and provide real-time feedback to students, in addition to smooth and intuitive navigation within the system. All testing criteria yielded successful results with 100% agreement proving the robustness of the system with all possible locations that could potentially be used in higher education structures. The system provides a scalable and flexible approach to address the challenges associated with SQL assessment in academic institutions, thereby facilitating uniform, efficient, and objective evaluation standards. The system uses data up to October 2023 to prevent the model from becoming obsolete
The Implementation of Gamification Methods in the Edusting Application as an Educational Medium to Enhance Mothers Knowledge of Stunting Bernadete Deta; Robertus Resi Wato
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3302

Abstract

Interventions for stunting are an urgent public health priority. Because mothers' limited knowledge about stunting has a direct impact on stunting prevention and management. One of the extraordinary outreach programs is the stunting socialization program for mothers of toddlers carried out at the integrated health post. However, the socialization action is considered too limited. Gamification is one potential approach to increase the effectiveness of these efforts by introducing game design and game elements into educational content in three areas: childcare practices, nutritional intake, and stunting prevention. This is expected to explore mothers' involvement and motivation to prevent stunting. Mothers certainly prefer a more attractive interactive interface and gamification applications will stimulate cognitive and emotional involvement so that mothers feel more comfortable in the learning process about stunting management. In this study, we present the design of an education that aims to help mothers understand and overcome stunting. This application is expected to make mothers better understand parenting patterns, nutrition, and stunting management so that it can help mothers' learning to increase the speed of mothers' understanding of stunting prevention.
The Application of Artificial Intelligence for Anomaly Detection in Big Data Systems for Decision-Making Cut Susan Octiva; Dikky Suryadi; Loso Judijanto; Mitranikasih Laia; Dedy Irwan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3358

Abstract

The development of big data technology has generated huge volumes of diverse data, creating challenges in detecting anomalies that could potentially affect decision-making. This research aims to examine the application of artificial intelligence (AI) in detecting anomalies in big data systems to support faster, more accurate and effective decision-making. The approach used includes the integration of machine learning algorithms, such as classification-based detection, clustering, and deep learning, in identifying abnormal patterns in large datasets. The research method involves real-time dataset-based simulations by measuring the performance of AI models using accuracy, precision, recall, and F1-score metrics. The results show that the application of AI can significantly improve the anomaly detection capability compared to conventional methods, with an average accuracy of 92%.
Deep Learning for Classification of Mammalian Reproduction Nur Mufidah; Yuliska Zakaria; Mutia Sari Zulvi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3376

Abstract

This research aims to classify mammalian reproduction using deep learning techniques, specifically focusing on Convolutional Neural Networks (CNN), VGG16, and MobileNetV2. CNN is applied to extract visual features from images related to mammalian reproductive systems, while the VGG16 and MobileNetV2 architectures are utilized to enhance accuracy and efficiency in classification. The dataset used consists of images of mammalian reproductive organs, analyzed using data augmentation techniques to improve model reliability. Data augmentation includes various transformations such as rotation, zoom, flipping, and brightness adjustments to enrich the dataset's variety and reduce the risk of overfitting. The results of this study indicate that the combination of these methods achieves high accuracy. VGG16 demonstrates the best performance in terms of precision, achieving an accuracy of 90.97%. MobileNetV2, while slightly less accurate (65.97%), excels in computational efficiency, making it highly suitable for mobile and resource-constrained environments. The baseline CNN model, achieving an accuracy of 61.11%, shows that simpler architectures are less effective in handling the complexity of the dataset. The implementation of this technology is expected to support more accurate and automated analysis and diagnosis in mammalian reproduction. The findings of this research provide valuable insights into the strengths and weaknesses of each architecture, as well as the trade-offs between accuracy and computational efficiency. The study also highlights the importance of using data augmentation techniques to improve the quality and diversity of the dataset, which in turn enhances model performance.
Developing a Web-Based Basketball Court Booking Application (Baszone) Using Design Thinking Anak Agung Adi Wiryya Putra; I Gde Suwastika Pande Liemena
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.3424

Abstract

This study designs Baszone, a web-based basketball court booking application developed through design thinking methodology. As basketball participation increases, manual reservation processes create significant obstacles for users and administrators. The research employed interviews with field administrators at DC Basketball in Denpasar, Bali, to identify operational challenges and user needs. Design thinking was implemented across five stages: empathize, define, ideate, prototype, and test. During empathize, interviews revealed booking difficulties including time-consuming manual processes and schedule conflicts. The define stage established user personas representing target audience characteristics. Ideate produced storyboards visualizing application workflows. Prototype development utilized Figma to create high-fidelity interface designs. Testing involved potential users evaluating the application through System Usability Scale (SUS) methodology. Results demonstrate that Baszone significantly enhances booking efficiency and accessibility. The application provides real-time field availability, streamlined reservation processes, and transparent payment management. SUS testing yielded a score of 92, indicating excellent usability performance. Respondents reported satisfaction with operational simplicity, optimal functionality, and comfortable interaction patterns. Baszone successfully addresses manual booking limitations while meeting user expectations for modern sports facility management systems.
Design and Development of a Data Warehouse for PT. CMS Using the Nine-Step Kimball Method Ardan Habib Amirullah; Yunus Anis
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3453

Abstract

A fully automated and structured management system in today's era is very important to support more efficient use when making decisions in a company. PT Cipta Mulia Surabaya, a company involved in the construction, mechanical, and purchasing sectors, is also one of the companies that has a management system to manage company data. Since the establishment of this company, the management system used has not used technology that has been developed in the current era or the management system is still done semi-manually, so that it can cause less than optimal in making a decision or planning. To overcome this problem, researchers created an application entitled Data Warehouse Design and utilized the Nine Step Kimball method which consists of 9 (nine) stages. With this Data Warehouse Design and Construction, it is hoped that it can help management in decision making or simplify the planning process. In the process of creating this Data Warehouse Design and Construction system, the author uses a software that functions as a local server so that it can run an application that is being developed, the author himself uses XAMPP software as a local server, in addition to being a local server, XAMPP can also manage databases. While the software for the text editor, the author uses Visual Studio Code. It is expected that with this application system, the company's performance can be optimized

Page 33 of 39 | Total Record : 387

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