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Tahsin, Muhammad
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Development of a Computational Thinking-Based Learning Module Aligned with the Merdeka Curriculum for Primary Tahsin, Muhammad
International Journal Education and Computer Studies (IJECS) Vol. 4 No. 1 (2024): MARCH 2024
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v4i1.2651

Abstract

This study aims to develop a computational thinking learning module tailored to the Merdeka Curriculum for primary school students. The Merdeka Curriculum, which emphasizes 21st-century skills, provides a flexible and adaptive framework for education; however, integrating computational thinking remains a challenge in many schools. Through a research and development (R&D) approach, this study identifies the needs, designs, and tests an innovative learning module. The development process begins with a needs analysis conducted through surveys and interviews with teachers and students in primary schools implementing the Merdeka Curriculum. Based on these findings, the learning module is designed to include various interactive activities and exercises aimed at developing computational thinking skills in children. The module is then validated by educational experts and piloted in several primary schools. The trial results indicate that the developed learning module is effective in enhancing students' understanding of computational thinking concepts. Feedback from teachers and students also suggests that the module is engaging, easy to understand, and supports active learning in the classroom. Nevertheless, challenges such as limited time and school facilities need to be addressed for broader implementation. This study makes a significant contribution by providing educational resources that support the development of computational thinking skills in primary schools, in line with the principles of the Merdeka Curriculum. Recommendations for further research and field implementation are also presented to strengthen the outcomes obtained.
Analisis Komprehensif: Perbandingan Platform Perangkat Lunak Artificial Intelligence (AI) untuk Meningkatkan Inovasi dalam Desain Interior Tahsin, Muhammad; Afkar, Muhammad Agha
Journal of Engineering and Science Vol. 2 No. 2 (2023): July-December 2023
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jes.v2i2.182

Abstract

This research aims to conduct a comparative study of artificial intelligence (AI) software platforms used in interior design. The focus of the study is to evaluate the effectiveness, sophistication, and performance of various AI platforms in supporting innovation and efficiency in the internal design process. This research method involved an in-depth analysis of several leading AI platforms used in interior design, reviewing their superior features, personalization capabilities, and integration with other design tools. In addition, this research will evaluate the impact of using these platforms on project completion time, design results accuracy, and client satisfaction. The results of this research can provide valuable insight for interior design professionals. By understanding how AI platforms compare, professionals can make more informed decisions in selecting the solution that best suits their project's needs. In an era of rapid technological development, this research can provide helpful guidance for optimally utilizing AI technology, thereby achieving interior design results that are not only innovative but also efficient. The conclusions from the research can provide beneficial advice in optimally utilizing AI technology to achieve innovative and efficient interior design results. By identifying the strengths and weaknesses of each platform, interior design professionals can optimize the use of AI technology according to their project needs and preferences. As a result, this research can positively contribute to the development of the interior design industry, creating a more productive and satisfying work environment for professionals and clients.
Analisis Komprehensif: Perbandingan Platform Perangkat Lunak Artificial Intelligence (AI) untuk Meningkatkan Inovasi dalam Desain Interior Tahsin, Muhammad; Afkar, Muhammad Agha
Journal of Engineering and Science Vol. 2 No. 2 (2023): July-December 2023
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jes.v2i2.182

Abstract

This research aims to conduct a comparative study of artificial intelligence (AI) software platforms used in interior design. The focus of the study is to evaluate the effectiveness, sophistication, and performance of various AI platforms in supporting innovation and efficiency in the internal design process. This research method involved an in-depth analysis of several leading AI platforms used in interior design, reviewing their superior features, personalization capabilities, and integration with other design tools. In addition, this research will evaluate the impact of using these platforms on project completion time, design results accuracy, and client satisfaction. The results of this research can provide valuable insight for interior design professionals. By understanding how AI platforms compare, professionals can make more informed decisions in selecting the solution that best suits their project's needs. In an era of rapid technological development, this research can provide helpful guidance for optimally utilizing AI technology, thereby achieving interior design results that are not only innovative but also efficient. The conclusions from the research can provide beneficial advice in optimally utilizing AI technology to achieve innovative and efficient interior design results. By identifying the strengths and weaknesses of each platform, interior design professionals can optimize the use of AI technology according to their project needs and preferences. As a result, this research can positively contribute to the development of the interior design industry, creating a more productive and satisfying work environment for professionals and clients.
Analisis Komprehensif: Perbandingan Platform Perangkat Lunak Artificial Intelligence (AI) untuk Meningkatkan Inovasi dalam Desain Interior Tahsin, Muhammad; Afkar, Muhammad Agha
Journal of Engineering and Science Vol. 2 No. 2 (2023): July-December 2023
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jes.v2i2.182

Abstract

This research aims to conduct a comparative study of artificial intelligence (AI) software platforms used in interior design. The focus of the study is to evaluate the effectiveness, sophistication, and performance of various AI platforms in supporting innovation and efficiency in the internal design process. This research method involved an in-depth analysis of several leading AI platforms used in interior design, reviewing their superior features, personalization capabilities, and integration with other design tools. In addition, this research will evaluate the impact of using these platforms on project completion time, design results accuracy, and client satisfaction. The results of this research can provide valuable insight for interior design professionals. By understanding how AI platforms compare, professionals can make more informed decisions in selecting the solution that best suits their project's needs. In an era of rapid technological development, this research can provide helpful guidance for optimally utilizing AI technology, thereby achieving interior design results that are not only innovative but also efficient. The conclusions from the research can provide beneficial advice in optimally utilizing AI technology to achieve innovative and efficient interior design results. By identifying the strengths and weaknesses of each platform, interior design professionals can optimize the use of AI technology according to their project needs and preferences. As a result, this research can positively contribute to the development of the interior design industry, creating a more productive and satisfying work environment for professionals and clients.
Development of a Computational Thinking-Based Learning Module Aligned with the Merdeka Curriculum for Primary Tahsin, Muhammad
International Journal Education and Computer Studies (IJECS) Vol. 4 No. 1 (2024): MARCH 2024
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v4i1.2651

Abstract

This study aims to develop a computational thinking learning module tailored to the Merdeka Curriculum for primary school students. The Merdeka Curriculum, which emphasizes 21st-century skills, provides a flexible and adaptive framework for education; however, integrating computational thinking remains a challenge in many schools. Through a research and development (R&D) approach, this study identifies the needs, designs, and tests an innovative learning module. The development process begins with a needs analysis conducted through surveys and interviews with teachers and students in primary schools implementing the Merdeka Curriculum. Based on these findings, the learning module is designed to include various interactive activities and exercises aimed at developing computational thinking skills in children. The module is then validated by educational experts and piloted in several primary schools. The trial results indicate that the developed learning module is effective in enhancing students' understanding of computational thinking concepts. Feedback from teachers and students also suggests that the module is engaging, easy to understand, and supports active learning in the classroom. Nevertheless, challenges such as limited time and school facilities need to be addressed for broader implementation. This study makes a significant contribution by providing educational resources that support the development of computational thinking skills in primary schools, in line with the principles of the Merdeka Curriculum. Recommendations for further research and field implementation are also presented to strengthen the outcomes obtained.
Co-Authors Afkar, Muhammad Agha