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The Role of Multimedia Technology in Enhancing Distance Learning Afkar, Muhammad Agha
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.v4i1.2647

Abstract

This study aims to analyze the role of multimedia technology in enhancing the effectiveness of distance learning in Banda Aceh. Multimedia technology, including videos, animations, simulations, and various online learning platforms, is believed to significantly enrich the teaching and learning process in remote educational environments. The research employs a descriptive quantitative method, utilizing surveys to collect data from students and teachers involved in distance learning across Banda Aceh. The study's population comprises students and teachers from schools that have adopted distance learning, with a randomly selected sample to ensure a representative distribution across different educational levels and socio-economic backgrounds. Data were gathered through questionnaires and interviews, and subsequently analyzed using descriptive statistics. The findings reveal that multimedia technology plays a crucial role in enhancing the effectiveness of distance learning. Among the various technologies, interactive videos and animations were identified as the most effective by both students and teachers. Additionally, the study found that the integration of multimedia technology received positive feedback, with respondents noting that it made learning more engaging and easier to comprehend. This research underscores the importance of incorporating multimedia technology in distance learning to improve educational quality in Banda Aceh. The study also provides recommendations for further teacher training and the development of more advanced multimedia-based educational tools. These findings are expected to contribute positively to educational policy development in Banda Aceh and serve as a reference for educators and educational technology developers
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.
Assessment of Practical Experience in the Development and Testing of Interactive Mobile Technology Elements Takhsin, Muhammad; Afkar, Muhammad Agha
Journal Mobile Technologies (JMS) Vol. 1 No. 2 (2023): September
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jms.v1i2.290

Abstract

The study aims to conduct a comprehensive assessment of practical experiences that emerge during the development and testing processes of interactive mobile technology elements. The primary focus examines challenges, successes, and learning outcomes that occur when applying interactive mobile technology in real-world scenarios. The research methodology includes detailed surveys of participants involved in developing and testing interactive mobile technology, along with thorough analysis of their experiences across multiple implementation phases. The research examines various aspects, including technology element effectiveness, alignment with development objectives, user interaction patterns, technical limitations, adaptation requirements, and potential positive or negative impacts during implementation. Research findings are expected to benefit developers, practitioners, and academics in designing and implementing interactive mobile technology through evidence-based recommendations. Additionally, the study helps guide further advancement in understanding interactive mobile technology potential across various fields, including education, teaching, professional training, healthcare applications, and industrial implementations. The assessment methodology provides a structured framework for evaluating practical experiences that can be applied to future technology development cycles.
Designing a Mobile-Based Digital Financial Application to Enhance Financial Access for Indonesian Communities Afkar, Muhammad Agha
Journal Mobile Technologies (JMS) Vol. 1 No. 2 (2023): September
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jms.v1i2.291

Abstract

The issue of financial access remains a significant challenge in Indonesia, particularly in remote and underdeveloped regions. Digital financial services offer a promising solution to accelerate and simplify financial access; however, many individuals are still unable to fully utilize these services. This research aims to design a mobile-based digital financial application that can enhance financial access for Indonesians in a simple, fast, and efficient manner. The study employs both qualitative and quantitative approaches, including literature reviews, interviews, surveys, and application design modeling. These methodologies will provide a comprehensive understanding of the barriers and facilitators to digital financial access. The results of this research will inform the design and development of a digital financial application tailored to the needs and preferences of users. The anticipated outcome is a digital financial application that not only facilitates financial transactions but also improves financial literacy and broadens access to digital financial services. This application is expected to simplify everyday financial activities such as bill payments, money transfers, and the purchase of financial products. In the long term, the application aims to assist Indonesians in accelerating economic development by easing access to digital financial services, reducing reliance on conventional financial services that are often difficult to access, and providing a modern, user-friendly alternative. Moreover, the application seeks to address the low level of financial literacy by incorporating educational features that empower users to make informed financial decisions. By doing so, it contributes to sustainable economic growth and financial inclusion across diverse Indonesian communities.
Mobile-based Data Mining and Digital Technology Approaches to Improve Sustainable Tourist Experiences Bahruni; Afkar, Muhammad Agha
Journal Mobile Technologies (JMS) Vol. 1 No. 2 (2023): September
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jms.v1i2.293

Abstract

The tourism industry requires technological innovation to improve competitiveness and growth in the digital era. This study analyzes the use of data mining and digital technology as a tool to optimize tourist experience and increase customer satisfaction in the tourism sector. The development of applications based on data mining and digital technology is the main focus to explore tourist preferences and improve the efficiency of sustainable tourism management. Search features, bookings, and review systems are integrated into the application to facilitate tourist travel planning. The research methodology involves comprehensive data analysis to identify market trends and refine sustainable tourism management strategies. The results of the study provide benefits to the community, business entities, and government institutions in the tourism sector by improving the quality of tourist experience, customer satisfaction, and operational efficiency of sustainable tourism management. The urgency of the research lies in the potential for significant contributions to the development of the tourism sector and strengthening the national economy.
Analisis Kematangan dan Adopsi Teknologi AI Video dalam Transformasi Digital Multi-Sektoral 2025-2030 Afkar, Muhammad Agha
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.255

Abstract

This research analyzes the development and adoption of AI Video technology through a comprehensive approach that evaluates technological maturity levels, sectoral adoption patterns, implementation challenges, and future growth projections. The analysis reveals that AI Video technology has entered a critical transformation phase from experimental to mainstream adoption with heterogeneous maturity levels across components. Object Detection has reached mature and deployment phases with widespread adoption in commercial applications, while Video Generation remains in transition from development to testing, and Edge Computing stays predominantly in research phase despite high disruptive potential. Adoption patterns show significant asymmetry across sectors, with entertainment achieving the highest adoption (90%), followed by retail (75-80%), healthcare and education (60-65%), and government showing the lowest (40-45%). Computational Cost emerges as the primary challenge (>87.5%), followed by Ethical Issues (85%) which demonstrates a significant gap between compliance requirements and current technical capabilities. Growth projections for 2025-2030 show optimism with Ethical AI projected to grow 55%, Real-time Generation 55%, and Edge Computing 50%. Convergence with other emerging technologies creates an integrated ecosystem but increases implementation complexity. Strategic recommendations include phased implementation based on technology maturity, computational infrastructure investment, comprehensive ethical framework development, and multi-stakeholder collaboration for sustainable and responsible development.
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.
Model Bisnis TikTok Shop dan Implikasinya terhadap Ekonomi Digital di Indonesia Afkar, Muhammad Agha; Yusmaneli
Journal of Law and Economics Vol. 2 No. 1 (2023): MAY 2023
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jle.v2i1.180

Abstract

This research investigates the TikTok Shop business model and its implications for the digital economy in Indonesia. TikTok Shop, as an electronic commerce platform integrated with social media, introduces innovation by combining creative content and online shopping experiences. This research explores how TikTok Shop can increase market access for MSMEs, contribute to income, and accelerate digital economic growth in Indonesia. The findings show that TikTok Shop provides new opportunities for local businesses by providing a personal and interactive platform to promote products. However, the challenges of intense competition and the need for digital education are the focus of research to support long-term success. Strategic recommendations include marketing innovation, special education programs, and strengthening product authenticity policies to support TikTok Shop's continued growth. This research makes an important contribution to understanding the new dynamics in Indonesia's digital economy, providing insights for local business development and building a strategic framework for implementing supportive policies
Analisis Kematangan dan Adopsi Teknologi AI Video dalam Transformasi Digital Multi-Sektoral 2025-2030 Afkar, Muhammad Agha
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.255

Abstract

This research analyzes the development and adoption of AI Video technology through a comprehensive approach that evaluates technological maturity levels, sectoral adoption patterns, implementation challenges, and future growth projections. The analysis reveals that AI Video technology has entered a critical transformation phase from experimental to mainstream adoption with heterogeneous maturity levels across components. Object Detection has reached mature and deployment phases with widespread adoption in commercial applications, while Video Generation remains in transition from development to testing, and Edge Computing stays predominantly in research phase despite high disruptive potential. Adoption patterns show significant asymmetry across sectors, with entertainment achieving the highest adoption (90%), followed by retail (75-80%), healthcare and education (60-65%), and government showing the lowest (40-45%). Computational Cost emerges as the primary challenge (>87.5%), followed by Ethical Issues (85%) which demonstrates a significant gap between compliance requirements and current technical capabilities. Growth projections for 2025-2030 show optimism with Ethical AI projected to grow 55%, Real-time Generation 55%, and Edge Computing 50%. Convergence with other emerging technologies creates an integrated ecosystem but increases implementation complexity. Strategic recommendations include phased implementation based on technology maturity, computational infrastructure investment, comprehensive ethical framework development, and multi-stakeholder collaboration for sustainable and responsible development.