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Informatics and Software Engineering (ISE)
Published by Santoso Academy Network
ISSN : 29882818     EISSN : 29882222     DOI : https://doi.org/10.58777/ise
Core Subject : Science,
Computer Science & IT
The Informatics and Software Engineering is an open-access and peer-reviewed journal that publishes theoretical and empirical research articles, review papers, and case studies on all major Informatics and Software Engineering topics. The journals mission is to offer a forum for the growing amount of scholarly research on Information Technology and Software Engineering in which it operates. The journal emphasizes theoretical advancements, their application, and empirical, practical, and policy research in global IT technology. The journal provides a platform for professionals in the field of IT to exchange their expertise and experiences. It aims to promote discussions on the design, development, implementation, management, and assessment of diverse IT applications among practitioners, researchers, managers, and IT policymakers. The journals goal is to promote communication and collaboration between and among academic and other research groups, as well as the founder of start-up and technology decision-makers at private and public institutions, national and global, and their regulators.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2023): December 2023" : 5 Documents clear
Application of the Model View Controller Concept for the Academic Information System at PKBM Nola Moch Farhan; Setiawan, Eman
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.84

Abstract

The Academic Information System (SIA) is important in managing academic data, including processing and reporting report cards, in non-formal educational institutions such as PKBM Nola. This research aims to apply the Model-View-Controller (MVC) concept in the Academic Report Card Information System at PKBM Nola to increase efficiency and accuracy in processing academic data. This study uses a structured software development approach in which the SIA Raport system design is based on the MVC concept. The model manages academic data, including student information, subjects, and grades. View is responsible for displaying the user interface that allows users to view and manipulate academic data. The controller is a liaison between the Model and View, managing data flow and maintaining data integrity. By applying the MVC concept in the Academic Reports Information System at PKBM Nola, institutions can benefit from processing academic data, increasing efficiency, and providing accurate information to relevant stakeholders. This research provides a foundation for developing a better academic information system in other non-formal education institutions, emphasizing systematic segregation of duties and responsibilities through the MVC concept.   Sistem Informasi Akademik (SIA) memiliki peran penting dalam pengelolaan data akademik, termasuk pengolahan dan pelaporan raport, di lembaga pendidikan nonformal seperti PKBM Nola. Tujuan dari penelitian ini adalah untuk menerapkan konsep Model-View-Controller (MVC) dalam Sistem Informasi Akademik Raport di PKBM Nola guna meningkatkan efisiensi dan akurasi dalam proses pengolahan data akademik. Penelitian ini menggunakan pendekatan pengembangan perangkat lunak yang terstruktur, di mana desain sistem SIA Raport didasarkan pada konsep MVC. Model berfungsi untuk mengelola data akademik, termasuk informasi siswa, mata pelajaran, dan nilai-nilai. View bertanggung jawab untuk tampilan antarmuka pengguna yang memungkinkan pengguna untuk melihat dan memanipulasi data akademik. Controller berperan sebagai penghubung antara Model dan View, mengatur aliran data dan menjaga integritas data. Melalui penerapan konsep MVC dalam Sistem Informasi Akademik Raport di PKBM Nola, lembaga dapat memperoleh manfaat signifikan dalam pengolahan data akademik, meningkatkan efisiensi, dan memberikan informasi yang akurat kepada stakeholder terkait. Penelitian ini memberikan landasan untuk pengembangan sistem informasi akademik yang lebih baik di lembaga pendidikan nonformal lainnya, dengan penekanan pada pemisahan tugas dan tanggung jawab sistematis melalui konsep MVC.
KAI Commuter Employee Development Application Using The Waterfall Method Ramadan, Angga Riski; Junaidi, Agus; Azis, Mochammad Abdul
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.93

Abstract

The KAI Commuter Employee Development application is a solution to support employee development in the PT environment. Indonesian Commuter Train. The development method used in this project is the Waterfall Method, which is a sequential approach consisting of clear phases, including planning, analysis, design, development, testing, and implementation. This application aims to increase effectiveness and efficiency in the management and development of employees in the company. With features such as performance tracking, training, employee evaluation, and creating personal development plans, this application provides a powerful tool for management to monitor and improve the potential of their employees. The development process using the Waterfall Method allows developers to carefully detail requirements before starting the stage implementation. This ensures the application can meet predefined requirements well throughout the development cycle. In addition, this model allows for more structured progress monitoring and enables more efficient project management. By adopting the KAI Commuter Employee Development application and implementing the Waterfall Method, companies can develop their employees, increase productivity, and optimize resources for their humans.
Analysis of Website Quality Using The Webqual 4.0 Method at SMA Negeri 12 Tangerang Wirna, Risalah Sabila; Hidayat, Rachmat; Verawati, Ellya
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.94

Abstract

Currently, information technology has become a determining factor for success in all aspects. This web media is a suggestion that can be used in schools where websites are used to convey information to students and the general public. SMA Negeri 12 Tangerang Regency is one of the educational institutions that wants to ensure that their website provides a satisfying experience to its visitors. By conducting a webqual 4.0 analysis, SMA Negeri 12 Tangerang Regency can gain deeper insight into the strengths and weaknesses of the website. This research aims to measure the quality of the website of SMA Negeri 12 Tangerang Regency based on the webqual 4.0 dimension variables, namely quality of use, quality of information, and quality of interaction. The method used in this research uses a quantitative method with stages of identifying webqual 4.0 variables, sample selection, data collection, data analysis, data interpretation, and validation. With the results of this research, you can carry out reliability testing, hypothesis testing, t test and f test. So the results can be concluded that during the t test the variables X1, variable Y.
Preprocessing Effects in Road Traffic Scene Analysis Using Machine Learning Models Kim, Daehyon
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.148

Abstract

Image-based real-time object detection is a key issue in integrated automatic traffic monitoring and control systems and is one of the main research topics in Intelligent Transportation Systems (ITS). Despite the growing interest in the application of image processing techniques for traffic scene analysis, vehicle detection algorithms are still unreliable in complex real-world backgrounds. Machine learning models are increasingly being applied to automatic video-based object detection and traffic scene analysis due to their excellent performance in real-time pattern recognition. However, the performance of machine learning models is highly dependent on the properties of the input vectors. Studies have shown that the preprocessing of raw image data obtained from digital video can improve the predictive performance of machine learning models. The purpose of this study is to investigate the predictive performance of machine learning models using preprocessing methods such as image size reduction and image filtering. The experiment was performed with the Backpropagation model, which is one of the most popular machine learning models, and the predictive performance was compared to see how it could be affected by different preprocessing techniques.   Deteksi objek real-time berbasis gambar adalah isu kunci dalam sistem pemantauan dan kontrol lalu lintas otomatis terintegrasi dan merupakan salah satu topik penelitian utama dalam Sistem Transportasi Cerdas. Meskipun minat yang meningkat dalam penerapan teknik pemrosesan gambar untuk analisis scene lalu lintas, algoritma deteksi kendaraan masih belum dapat diandalkan dalam latar belakang dunia nyata yang kompleks. Model pembelajaran mesin semakin diterapkan pada deteksi objek berbasis video otomatis dan analisis scene lalu lintas karena kinerja mereka yang sangat baik dalam pengenalan pola real-time. Namun, kinerja model pembelajaran mesin sangat bergantung pada sifat vektor masukan. Studi telah menunjukkan bahwa pra-pemrosesan data gambar mentah yang diperoleh dari video digital dapat meningkatkan kinerja prediktif dari model pembelajaran mesin. Tujuan dari penelitian ini adalah untuk menyelidiki kinerja prediktif dari model pembelajaran mesin menggunakan metode pra-pemrosesan seperti reduksi ukuran gambar dan penyaringan gambar. Percobaan dilakukan dengan model Backpropagation, yang merupakan salah satu model pembelajaran mesin paling populer, dan kinerja prediktifnya dibandingkan untuk melihat bagaimana hal itu dapat dipengaruhi oleh berbagai teknik pra-pemrosesan.
Application of the Rapid Application Development Model to a Web-Based Library Information System Handayani, Rani irma; Astuti, Dyah Ayu
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.163

Abstract

This study aims to overcome several problems in library management at SMA Negeri 7 Tambun Selatan by designing and developing a web-based library information system using the Rapid Application Development (RAD) method. The background of the problem includes the use of information technology, which is still limited in the library, so the process of recording, borrowing, and returning books is still done manually and takes a long time. In addition, the lack of an effective book search system is also an obstacle to using library collections. This research identifies these problems and formulates aims and objectives to create the right solution. In order to achieve this goal, the research method used involved data collection techniques, such as direct observation in the library, interviews with librarians, and a literature study to obtain relevant information. The result of this research is a web-based library information system that includes managing data on borrowing and returning books, book data, book category data, fines data, and making library data reports. This system allows librarians to record borrowing and returning books more efficiently, as well as facilitate students and staff in finding the desired book quickly and accurately through the search feature provided.

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