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Journal of Computer Science Advancements
Published by Yayasan Adra Karima Hubbi
ISSN : 30263379     EISSN : 3024899X     DOI : https://doi.org/10.70177/jsca
Core Subject : Science,
Computer Science & IT
Journal of Computer Science Advancements is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the Journal of Computer Science Advancements follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024)" : 5 Documents clear
Impact of Using Big Data Analisys in Increasing Personalization of Learning Rahmawati, Rahmawati; Nursalim, Nursalim; Alfiah, Agry; Hasyim, Andi; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.906

Abstract

In today’s digital era, big data analytics has become a very relevant topic to improve learning personalisation as it can collect and analyse very large and complex data. Big data analytics can lead to a more efficient learning system by collecting and analysing huge and complex data. In education, big data analytics can be used to understand students’ learning behaviour, their needs and preferences, so that learning and learning outcomes can be improved. This research is conducted with the aim of using big data analytics to improve learning personalisation. It also aims to find out the challenges of using big data analytics to improve learning personalisation. The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the research results, it can be seen that the big data analysis has shown that the use of more detailed and accurate data can help teachers find students’ special needs and improve learning effectiveness. As a result, teachers can create learning strategies that are better suited to students’ needs and improve their learning outcomes. From this study, we can conclude that the use of big data analytics in improving personalisation allows teachers to understand better the individual needs and preferences of students, so that more suitable learning plans can be developed and student engagement can be improved.
The Impact of Using Collaborative Learning Platforms on Increasing Student Creativity Wardhani, Rizky; Pulungan, Dedi Zulkarnain; Irawan, Dodi; Gilaa, Thitus; Fawait, Aldi Bastiatul
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1082

Abstract

One of the student-centred learning (SCL) methods is collaborative learning. In collaborative learning, students are required to actively participate in learning together or in groups. And collaborative learning is also based on the needs of students to improve the quality of learning. This research is conducted to find out how the use of collaborative learning platforms can help students become more creative in collaborative activities. By understanding the different types of collaborative learning platforms, teachers and parents are able to incorporate the role of technology in students' learning process. In conducting this research, researchers used quantitative methods in the implementation of the research. The data obtained by researchers was obtained through distributing questionnaires presented by researchers through a goggle from application. The distribution of this questionnaire was carried out by researchers online, which then the results of the acquisition of the distribution of this questionnaire will be processed using an SPSS application.  From this research, the researcher can conclude that the impact of using a collaborative learning platform on increasing student creativity shows positive results. With the use of collaborative learning platform, it can visualise abstract and complex concepts, opening opportunities for students to develop their imagination and creativity through rich visual exposure. Based on the results of this study, it shows that collaborative learning platform can enhance students' creativity as it allows students to interact more actively and interactively during the learning process. In addition, rich visual exposure enables better understanding and enhances students' creativity and imagination.
Development of Multimedia-Based Speaking Teaching Materials and its Influence on Junior High School Student Motivation Nazara, Silvia Niat Sari; Ndruru, Mastawati; Telaumbanua, Kalvin Septianus; Waruwu, Rejois
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1093

Abstract

This research aims to develop multimedia-based speaking teaching materials and test their effect on junior high school students’ learning motivation. The research method used is qualitative research with a descriptive approach. The results of the research show that the use of multimedia-based speaking teaching materials is effective in increasing students’ interest in active participation and learning motivation. Multimedia is considered to be able to make learning more interesting, interactive and fun compared to conventional learning. These findings emphasize the important role of teachers in utilizing multimedia technology to create effective learning and can motivate students in speaking skills. Support from the school and other stakeholders is also needed to facilitate teachers in developing and implementing multimedia-based speaking teaching materials.
Analysis of Prefixes in the Novel "Belahan Jiwa" By Nuniek Kr: Exploration of the Purpose and Impact of Writing Zendrato, Solina; Bawamenewi, Arozatulo; Giawa, Yarniwati; Zendrato, Krisna Ifariani
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1094

Abstract

The aim of this research is to analyze the prefixes contained in the novel "Belahan Jiwa" by Nuniek KR. This research uses a qualitative method with a descriptive approach. Several instruments that can be used in this research are text selection, text annotation, morphological classification, context analysis, meaning interpretation, analysis notes and validation. The technique used in this research is the reading and note taking technique. The steps used in this technique include reading, analyzing and understanding the structure, marking certain parts according to analysis needs, recording data in the form of sentences and words related to the word formation process, grouping data or classifying data based on the word formation process and analyzing and concluding data based on the results of reading and recording the word formation process in the novel "Belahan Jiwa" by Nuniek KR. Based on the results of the analysis carried out, there are 8 (eight) uses of prefixes, namely the prefixes ber-, me-, mem-, per-, se-, di-, ke-, and ter-. In the novel "Belahan Jiwa" by Nuniek KR, it can be seen that there are 51 words that use the prefix ber-, for the prefixes me- 59, mem- 19, per-11, se-24, di-13, 14th and ter-25th.
Decision Support System for Determining Tutoring Institutions for SNBT Preparation Using the Weighted Product Method Batubara, Shabrina Husna; Maulana, Sandy Andika; Harahap, Wahyu Abadi; Niska, Debi Yandra
Journal of Computer Science Advancements Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i2.1108

Abstract

There are several stages in choosing a state university, one of which is through the Joint Selection for State University Admission. To prepare for this, many SNBT candidates attend Learning Guidance Institutions. Learning guidance is a service or educational program designed to help students understand the subject matter taught in school. Its main goal is to improve students' academic abilities through various methods. This research aims to develop a Decision Support System (DSS) using the Weighted Product (WP) method to help choose the most appropriate Tutoring Institution. The system is designed to help parents and prospective students make decisions that suit their needs, taking into account factors such as teaching quality, facilities, and costs. With this DSS, it is hoped that the process of selecting Tutoring Institutions can be carried out more efficiently and accurately so that prospective participants can prepare themselves better to face SNBT. Based on the completed case study, the highest preference value is obtained by Adzkia (A4) with a value of 0.231, while the lowest preference value is Ganesha Operation (A1) with a value of 0.168. The results from the DSS built, and the manual calculations, show the same values.

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