Article Per Year (5 Year)
p-Index From 2021 - 2026
2.677
P-Index
This Author published in this journals
All Journal Komunitas : Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan dan Keguruan INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE) Indonesian Journal of Education (INJOE) Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Review of International Economy and finance (RITEF)
Alim Hardiansyah
Universitas Sultan Ageng Tirtayasa
Religion Humanities Economics, Econometrics & Finance Education Mathematics Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
BIG DATA: USING DATA ANALYTICS TO SPARK INNOVATION IN THE 5.0 ECONOMY Loso Judijanto; Alim Hardiansyah
INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS Vol. 1 No. 7 (2025): INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the era of Economy 5.0, the use of Big Data and data analytics has become a key driver of business innovation and transformation. The utilisation of large amounts of data enables companies to uncover deep insights and support smarter and more timely decision-making. Data analytics not only helps in understanding customer needs and preferences but also in identifying new business opportunities, improving operational efficiency, and developing better products and services. In addition, Economy 5.0 emphasises the importance of collaboration between humans and technologies such as artificial intelligence and machine learning, which are capable of analysing data quickly and efficiently. To adopt these technologies successfully, organisations need to build a data-driven culture, conduct effective change management, and improve analytics skills within the team. With the right strategy, Big Data and analytics can be a strong foundation for achieving continuous innovation and maintaining competitiveness in a dynamic global market.
APPLICATIONS OF MACHINE LEARNING IN DIAGNOSTICS AND SPECIAL EDUCATION INTERVENTIONS Alim Hardiansyah; Ardiyanto Saleh Modjo; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 3 No. 1 (2023): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Special education is a basic right for children with special needs. In the technological era, machine learning plays an important role in supporting the education of these children by providing personalized learning, early detection of disorders, assisting communication, and training life skills. With joint efforts, we can create special educational environments that support optimal development for all children, including those with special needs. The importance of special education cannot be ignored and machine learning is emerging as a powerful ally in providing an approach tailored to the needs of each child. Machine Learning can customize curriculum, monitor progress, and provide real-time feedback. This helps create a more personalized and effective learning experience. The literature study approach was used to conduct the research. Data and information about the use of machine learning in special education diagnosis and interventions were gathered through a review of the literature. The concept of special education, issues with diagnosis and intervention in special education, the use of technology in education, the introduction and application of machine learning in the field of education, and the advantages and difficulties of implementing machine learning in special education are all covered in this research
PREPARING STUDENTS FOR THE ERA OF ARTIFICIAL INTELLIGENCE: CHALLENGES AND STRATEGIES Elmiwati; Alim Hardiansyah; Rahmat Shodiqin
Indonesian Journal of Education (INJOE) Vol. 4 No. 1 (2024): Indonesian Journal of Education (INJOE)
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The era of Artificial Intelligence (AI) has brought significant changes in various aspects of life, including education. The research method in this study used a literature review. The results show that the implementation of this strategy requires a holistic and collaborative approach from all stakeholders in the education ecosystem. The research also underscores the importance of a balance between technical skills and soft skills in preparing students for the AI era. In conclusion, although the challenges are significant, with the right strategies, the education system can evolve to prepare future generations to face and thrive in an era dominated by AI
KECERDASAN BUATAN SEBAGAI MITRA DALAM PENILAIAN DAN EVALUASI PENDIDIKAN Alim Hardiansyah; Rosmawati Harahap; Arnes Yuli Vandika
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 2 No. 5 (2024): Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL)
Publisher : CV. ADIBA ASIHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in various fields, including education. AI offers significant capabilities in analysing large-scale data, providing real-time feedback, and tailoring assessments to students' individual needs. The research method used literature. The results showed that the integration of AI in educational assessment requires a balanced approach that blends the analytical power of AI with human judgement. In conclusion, AI has the potential to increase the effectiveness and personalisation of educational assessment, but its implementation must be done with careful ethical considerations and focus on enhancing, not replacing, the role of educators in the evaluation process
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PERSONALISATION MARKETING: A LITERATURE REVIEW Alim Hardiansyah; Loso Judijanto
Review of International Economy and Finance Vol. 1 No. 4 (2025)
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.16811697

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have rapidly developed in supporting personalised marketing strategies. This study focuses on a literature review to explore the role of AI and ML in enhancing the effectiveness of personalisation, such as big data processing, consumer behaviour analysis, and the provision of relevant recommendations. The analysis results indicate that these technologies can enhance customer experience and marketing campaign efficiency. However, challenges such as data privacy, ethics, and significant technological investments remain key concerns in their implementation. This study concludes that AI and ML offer great potential for data- driven personalisation marketing, while requiring ethical and adaptive approaches to maximise their benefits sustainably.
Co-Authors Aat Ruchiat Nugraha Abdul Wahab Syakhrani Achmad Gazali Adhe Risky Mayasari Agus Rofi'i Al-Amin Antono Damayanto Ardiyanto Saleh Modjo Arnes Yuli Vandika Darma Jasuli Elmiwati Hilman, Hilman Iyad Abdallah Al- Shreifeen Joni Wilson Sitopu Krisdianto, Nanang Loso Judijanto Loso Judijanto Manu, Charisal B.S. Masruri Mohammad Ahmad Bani Amer Muhamad Majdi Najamuddin Petta Solong Nanang Zakaria Navel Oktaviandy Mangelep Netty Huzniati Andas Opan Arifudin Rahmat Shodiqin Rerin Maulinda Rosmawati Harahap Santoso, Muhammad Iman Siminto Siminto Siminto Sudianto Suhana Sarkawi