Garuda - Garba Rujukan Digital

Framework LTSA untuk Analisis dan Pengembangan Learning Management System Dalam Mendukung Peningkatan Proses Pembelajaran Nur Aini; Sarjon Defit; S Sumijan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.366

Learning Management System is a software for the need to manage learning activities such as searching for materials, reporting learning matters, providing materials for learning matters carried out online and connected to an internet connection. The benefits that can be obtained Form the use of e-learning are the existence of facilities for e-moderating where teachers can carry out learning activities without being constrained by distance, teachers and students can also use teaching materials via the internet, students can review learning materials online, if students require additional materials for learning so students can access the internet, changes in the role of students and teachers become more active and learning is relatively more efficient and effective. This research aims to apply the LTSA framework to the design of a Learning Management System. The method used in this research is the LTSA framework. This method explains that the LTSA framework consists of five architectural layers, each layer describes a system at a different level. The dataset processed in this research comes Form SMK N 1 Ranah Batahan. The dataset consists of students majoring in TKJ class XI in Indonesian, English, mathematics and vocational subjects. The results of research using the LTSA framework make learning data more structured in managing learning activities. This research can be a reference in developing a Learning Management System using other methods

Integrasi Knowledge Management System Dan Teknik Knowledge Discovery In Database Dalam Sharing Culture Pada Proses Pembelajaran Berbasis Blended Learning Iswandi Saputra; Sarjon Defit; Gunadi Widi Nurcahyo
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.385

Education is rapidly changing in the digital age, especially with blended learning, which mixes online and in-person classes. This approach is popular because it offers a well-rounded learning experience. However, getting students and teachers to share knowledge remains a challenge. This study looks at how combining Knowledge Management Systems (KMS) and Knowledge Discovery in Databases (KDD) can help improve knowledge sharing in blended learning at universities. By analyzing data from the E-Learning section of UPI YPTK Padang, involving 120 students, the research aims to create more effective learning systems that encourage sharing. It's a step towards better education in the digital era, promoting collaboration and knowledge exchange among students and educators.

Implementasi K-Means Clustering Dalam Analisa Soal Ujian CBT Universitas Baiturrahmah Rico Anggara; Sarjon Defit; Billy Hendrik
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.367

Computer-based exams (CBT) are a type of exam where participants take the exam using a computer or digital device. CBT has become a common choice in exam administration. Exam question management is important for CBT success. Participants answer digital questions via a computer interface, and the results are processed automatically by the computer system. The results of this test can be used to assess student understanding and as a learning evaluation. This research aims to group exam questions based on participants' answers. The method used in this research is K-Means Clustering. This method has 5 stages, namely cluster center initialization, data grouping, calculation of new cluster centers, convergence and evaluation of results. This process repeats until the cluster center does not change any more or convergence has been achieved. Next, the K-Means Clustering algorithm is applied to group exam questions into appropriate clusters. This grouping process is carried out by considering the similarities between the exam questions based on the number of correct answers and the number of incorrect answers. Dataset source from UPT CBT, Baiturrahmah University. The question dataset consists of 100 exam questions that have been tested on students at the Faculty of Medicine, Baiturrahmah University. The results of this research can group exam questions into groups of difficult questions, medium questions and easy questions. This research can be a reference for academics in evaluating exam questions created by lecturers and can evaluate the level of understanding of students at Baiturrahmah University.

Penerapan Algoritma Fuzzy C-Means untuk Clustering Penilaian Laporan Kinerja Dosen pada UIN Imam Bonjol Padang Alvi Dwi Wahyuni; Sarjon Defit; Gunadi Widi Nurcahyo
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.359

-

Penerapan Algoritma K-Means Dalam Pengklasteran Hasil Evaluasi Akademik Mahasiswa Fitri Safnita; Sarjon Defit; Gunadi Widi Nurcahyo
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.360

Several institutions that have utilized computer-based information systems for many years certainly have quite large amounts of data. The data generated and stored in a computer system is designed to be fast and accurate in both operation and administration. This data is designed for reporting and analysis that uses that data. It turns out that there is a lot of data available, with so much data we are increasingly faced with the question, "What knowledge can we gain from this data?" The K-Means algorithm is an iterative clustering algorithm that partitions a data set into a number of clusters that are initially determined. The K-Means algorithm is an iterative clustering algorithm that partitions a data set into a number of clusters that are initially determined. The K-Means algorithm is easy to implement and run, relatively fast, easy to adapt, commonly used in practice. The parameter that must be entered when using the K-Means algorithm is the K value. The K value is generally used based on previously known information regarding how many clusters appear in This research aims to group students based on academic evaluation results. The method used to manage student academic data uses the Data Mining method with the K-Means Clustering Algorithm. The dataset processed in this research comes from the Faculty of Engineering, Informatics Engineering Study Program, Islamic University of Riau. The dataset consists of 180 student data starting from semester 1 to semester 4. The results obtained from this research are in the form of grouping students based on the achievement student cluster, there are 104 students with a percentage of 57.72%, the student cluster with potential for achievement is 62 students with a percentage of 34 .41%, the potentially problematic student cluster has 10 students with a percentage of 5.55%, and the problematic student cluster has 4 students with a percentage of 2.22%. Therefore, it is hoped that the results of this research will provide new knowledge that can be used as a source of information and function as a reference model for academic planners to monitor and predict the development of each student's academic performance.

Penerapan Framework Ltsa Untuk Mengembangkan Lms Berbasis Blended Learning Untuk Proses Pembelajaran Aflili Sari; Sarjon Defit; S Sumijan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 2 (2024): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i2.365

Nowadays everyone is able to learn about anything, anywhere, and at any time because of the internet. Many schools have started implementing learning via E-learning. The development of E-learning as application software can be done using various methodologies or frameworks and one of them is the Learning Technology System Architecture (LTSA) framework which is standard 1484.1-2013 from the Institute of Electrical and Electronics Engineers (IEEE) for learning technology. This LTSA framework is applied with the aim of mapping the current and proposed systems, including mapping sub-systems and their relationships with external systems. The objectives to be achieved in this research include designing a Learning Management System at SMAN 2 Gunung Talang using the LTSA framework. Implementation of Blended Learning at SMAN 2 Gunung Talang by utilizing a Learning Management System designed with the LTSA framework to improve the quality of learning and Application of the LTSA framework to build a Learning Management System synchronized with learning at SMAN 2 Gunung Talang. There are 5 layers implemented in creating a Learning Management System using the LTSA framework. Layer 1: Learner interaction with the environment. Layer 2: The influence the learner has on the system. Layer 3: Component system. Layer 4: Identify stakeholder priorities and perspectives. Layer 5: Operational components and interoperability. The results of this research show that the existence of a Learning Management System based on the LTSA framework can create more focused, structured and well-archived learning at SMAN 2 Gunung Talang. The application of the LTSA framework in building a Learning Management System that is appropriate and in harmony with learning at SMAN 2 Gunung Talang has shown significant results in improving the quality of learning at SMAN 2 Gunung Talang.

Title

Found 6 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 6 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 6 Documents
Search