Amikom Journals – Universitas Amikom Yogyakarta
Amikom Journals is the official open-access publishing platform of Universitas Amikom Yogyakarta, offering a diverse collection of peer-reviewed academic journals spanning various disciplines—from Communication & Media and Information Systems to Political Science and Community Service. Each journal supports a rigorous double-blind review process, consistently publishes biannual or semi-annual issues, and maintains accreditation through Indonesia’s SINTA system. The platform ensures global accessibility, hosting original research, review articles, case studies, and more, aimed at fostering academic excellence and innovation.
Journals
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Nation State: Journal of International Studies
Nation State: Journal of International Studies is a peer-review journal under the management of the International Relations Department, Faculty of Economics and Social Science, Universitas Amikom Yogyakarta, in collaboration with Asosiasi Ilmu Hubungan Internasional Indonesia (AIHII). The journal publishes primarily original research articles, perspectives, and short-form essays published through a double-blind review procedure. Nation State: Journal of International Studies publish two issues per year (June & December). (Read More)
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Jurnal PIKMA : Publikasi Ilmu Komunikasi Media Dan Cinema
Jurnal PIKMA : Publikasi Ilmu komunikasi Media dan Cinema adalah publikasi ilmiah yang pertama kali terbit pada tahun 2018. Jurnal PIKMA dipublikasikan oleh Program Studi Ilmu Komunikasi, Fakultas Ekonomi dan Sosial, Universitas AMIKOM Yogyakarta. Jurnal PIKMA juga telah teregistrasi Electronic-ISSN 2655-6405 dan Print-ISSN 2622-5476. Selain itu, Jurnal PIKMA diterbitkan dua kali dalam setahun, yakni bulan Maret dan September. Adapun fokus tulisan Jurnal PIKMA adalah mengenai Media Baru dan Teknologi Komunikasi (New Media and Communication Technologies), Media dan Jurnalistik (Media and Journalism), Komunikasi Pemasaran (Marketing Communication), Kajian Film (Film Studies), Komunikasi Antar Budaya (Cross-cultural communication), Komunikasi Politik (Political communication) dan Teknologi Informasi dan Komunikasi (Information and Communication Technology).
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Journal of Social Politics and Governance (JSPG)
Journal of Social Politics and Governance (JSPG) (Sinta 3, p-ISSN: 2686-0279, e-ISSN: 2685-8096) is published by Government Studies Program, Universitas AMIKOM Yogyakarta twice a year (June and December). JSPG Journal collaborate with ADIPSI (Asosiasi Dosen Ilmu Pemerintahan Seluruh Indonesia) for Reviewer.
Since 2019, JSPG Journal has published scientific articles on socio-political issues and community empowerment. The articles have gone through a process of editorial discussion and review, as well as turnitin checking.
JSPG Journal aims to provide a discussion platform for academic research and socio-political practice in the fields of political science, government science, leadership studies, policy innovation studies, public administration studies, community social empowerment and welfare studies.
In principle, the editorial policy of this journal is that the editor of the Journal of Social Politics and Governance (JSPG) is responsible for deciding which articles are submitted to the journal for publication. The validity of the work in question and its importance to researchers and readers should always drive such decisions. The editors may be guided by the journal's editorial board policy and limited by applicable legal requirements regarding defamation, copyright infringement, and plagiarism (maximum 20%). The editors may confer with other editors or reviewers in making these decisions.
Peer review process is carried out by conducting editor evaluation (focus and scope, the minimum number of pages is 12 pages), double blind peer review process, editor decision (revised article, maximum plagiarism is 20%, the minimum number of references is 20 references, the maximum references are in the last 10 years), proofread (check by author). The time needed is 15 - 30 days.
JSPG Journal is pleased to accept manuscripts for Vol 6 No 1 (June) and Vol 6 No 2 (December) 2024 editions. Please submit the manuscript online (click here) or email to jurnaljspg@amikom.ac.id
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Journal of Information System Management (JOISM)
Journal of Information System Management (JOISM) is a peer-reviewed journal published in June and January by Universitas Amikom Yogyakarta. The JOISM have scopes or research areas but are not limited to : Information Technology, Information System, E-Business / E-Commerce, Computer Science, Animation, AR / VR Application, Game, and Interactive Media. E-ISSN of JOISM is 2715-3088
Starting from Vol. 5 No. 2 (Jan 2024), Journal of Information System Management (JOISM) has been accredited Sinta ranked 4th / Sinta 4 (Previously Sinta 5) Until Vol. 10 No. 1
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Information System Journal
Information System Journal (INFOS) Contains the results of scientific research in the field of information systems and computer science. This journal aims to bridge the gap between factual advances in information systems and computer science and the results of existing research.
Focus and Scope, This journal publishes research articles, review articles/literature reviews, case reports and concept/policy articles, in all fields: Information Systems, Decision Support Systems, Financial Technology, Multimedia, AR/VR Applications, IT Governance, UI/UX, e-commerce. The Information System Journal (INFOS) is published under the numbers E-ISSN : 2655-142X and P-ISSN : 2655-190X.
he Information System Journal (INFOS) published twice a year in May, and November. This journal is published by Universitas Amikom Yogyakarta.
Based on the Results of Journal Accreditation Period I in 2025, the Decree of the Director General of Higher Education, Research, and Technology Number 10/C/C3/DT.05.00/2025 has been issued. The Information System Journal (INFOS) is now accredited SINTA 4. This decision is valid for 5 years from Volume 7 Number 1 Year 2024 to Volume 11 Number 2 Year 2028.
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SWAGATI : Journal of Community Service
SWAGATI: Journal of Community Service is a journal that aims to be a medium of communication and scientific information resulting from community service.
The scope of published articles includes studies on community empowerment in computer science, economics, social science, and technology. However, the Editors can accept other fields still relevant to community service activities.
SWAGATI is officially registered and has an ISSN (International Standard Serial Number): Electronic and Print. E-ISSN : 2986-7339 P-ISSN : 2986-7940
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Intechno Journal : Information Technology Journal
Intechno Journal : Information Technology Journal is a peer-reviewed open-access journal published in every six months, namely in July and December.
Intechno Journal (e-ISSN 2655-1438 | p-ISSN 2655-1632) published by Universitas Amikom Yogyakarta in collaboration with Indonesian Computer, Electronics and Instrumentation Support Society (IndoCEISS) to promote high-quality Information Technology (IT) research among academics and practitioners alike, including computer scientists, Software Engineering & Big Data, Multimedia, Networking, IT professionals, and other stakeholders in the IT industry.
Contributed papers must be original (similarity score <= 30%) and offer an impactful contribution. At least two independent reviewers will review each manuscript in the relevant field to ensure the publication of only top-quality contributions. Intechno Journal offers an open-access license (CC-BY) while retaining the copyright for the authors.
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JOAEN: JOURNAL OF ACADEMIC AND ENTREPRENEUR
Journal of Academic Entrepreneur (JAE) is a peer-reviewed journal published twice a year (March and September) by the Entrepreneurship Study Program, Amikom University, Yogyakarta. The Journal of Academic Entrepreneur (JAE) covers the broad field of entrepreneurship and business and its applications, particularly for research relevant to the growing practice of entrepreneurship or online business. It includes the study of how work is done (descriptive) and/or should be done (normative) in various forms of organization, whether in for-profit or not-for-profit companies, private or public sector institutions, or formal or informal social networks. Topics covered include, but are not limited to:
1. Online Business Innovation
2. Business & Management Strategy
3. Corporate Governance & Corporate Social Responsibility
4. Entrepreneurship, Socialpreneurship & Technopreneurship
5. Leadership & Strategy Negotiations
6. Strategic Finance & Investment Management
7. Digital Media Business
8. Computing & Technology Management
9. Innovation & Knowledge-Based Management
10. Islamic Business & Entrepreneurship -
Journal of Intelligent Data Analytics and Transformation Engineering
The Journal of Intelligent Data Analytics and Transformation Engineering (JIDATE) is a high-impact, peer-reviewed academic journal dedicated to publishing cutting-edge research that bridges the fields of intelligent systems, data analytics, and engineering transformation. The journal aims to provide a platform for disseminating innovative approaches, methodologies, and applications of data-driven techniques and intelligent technologies that have the potential to revolutionize engineering practices across various domains. By focusing on the intersection of data science and engineering, JIDATE brings forward groundbreaking work that explores how advanced data analytics, machine learning, artificial intelligence (AI), and computational methods can optimize engineering systems, improve performance, and enhance decision-making in both theoretical and practical contexts.
The scope of the Journal of Intelligent Data Analytics and Transformation Engineering is broad, reflecting the interdisciplinary nature of modern engineering challenges and solutions. It encompasses a wide range of topics within data analytics and intelligent systems that can be applied across diverse engineering fields, including but not limited to civil, mechanical, electrical, aerospace, biomedical, industrial, and chemical engineering. Research articles are encouraged in the development of novel algorithms, machine learning models, optimization techniques, and AI-based systems that drive transformative changes in engineering practices. These techniques can range from predictive modeling and big data analytics to real-time monitoring and control systems, offering insights into how intelligent technologies can be leveraged to design more efficient, sustainable, and resilient engineering solutions.
In particular, the journal focuses on how data-driven approaches can be integrated into traditional engineering paradigms to create intelligent, automated, and adaptive systems that can learn, optimize, and evolve over time. Topics such as smart manufacturing, robotics, automation, IoT (Internet of Things) applications, cyber-physical systems, and intelligent infrastructure are key areas of interest. JIDATE seeks to publish research that demonstrates how these data-driven innovations can address critical engineering problems, from optimizing supply chain management and production processes to enhancing the sustainability of energy systems, improving healthcare delivery, and advancing environmental monitoring.
A significant emphasis of the journal is on the application of advanced data analytics in engineering design and decision-making. The ever-increasing availability of large-scale datasets has created vast opportunities for engineers to extract actionable insights that can inform design choices, optimize system configurations, and predict future behaviors of complex systems. As such, the journal encourages contributions that focus on machine learning techniques such as deep learning, reinforcement learning, natural language processing, and unsupervised learning, particularly as they relate to data-intensive domains such as predictive maintenance, fault detection, performance monitoring, and risk assessment in engineering systems. The journal also welcomes research on emerging technologies such as blockchain, edge computing, and autonomous systems, exploring their potential role in transforming engineering processes and outcomes.
The scope of JIDATE extends to the development of novel engineering models that utilize data analytics to support optimization, automation, and decision-making. For example, papers may explore the application of data analytics in areas such as structural health monitoring, traffic management, energy optimization, supply chain logistics, and smart grid management. Through the integration of intelligent algorithms, real-time data processing, and predictive analytics, JIDATE aims to advance the state-of-the-art in engineering systems, ensuring that both the design and operation of these systems are increasingly adaptive, efficient, and resilient.
In addition to methodological research, the journal also seeks to publish applied studies that demonstrate the real-world impact of intelligent data analytics in engineering applications. These may include case studies, experimental results, and simulations that illustrate how AI, machine learning, and data analytics can be applied to solve pressing engineering challenges across industries. This applied research is critical to bridging the gap between theory and practice, ensuring that the innovations presented in the journal are not only theoretically sound but also practical and implementable in diverse engineering settings.
Moreover, JIDATE is committed to fostering the development of sustainable engineering solutions through the application of intelligent data analytics. Sustainability is an increasingly important concern in engineering, and the journal welcomes research that explores how data-driven methods can be used to improve the sustainability of engineering practices, reduce environmental impacts, and contribute to the development of green technologies. Topics such as energy-efficient systems, smart grids, renewable energy optimization, waste management, and climate modeling are of particular interest. The journal encourages contributions that emphasize the role of data analytics in achieving environmental goals and promoting sustainable development in engineering.
The journal also recognizes the global nature of engineering challenges and encourages research that addresses issues in developing economies or regions with unique technological and infrastructural needs. Papers exploring the role of data analytics in advancing engineering solutions for rural development, disaster management, affordable healthcare, and infrastructure development are highly encouraged. By focusing on global issues, JIDATE aims to support the equitable application of intelligent technologies in addressing pressing societal challenges and improving quality of life worldwide.
The interdisciplinary nature of the Journal of Intelligent Data Analytics and Transformation Engineering ensures that it attracts contributions from a diverse community of researchers, practitioners, and thought leaders in the fields of engineering, computer science, data science, and applied mathematics. The journal encourages collaboration across disciplines to foster innovation, bringing together expertise from various domains to solve complex engineering problems. It also aims to provide a forum for discussions on the ethical implications, challenges, and limitations of applying AI and data analytics in engineering, ensuring that the technologies and systems developed are not only effective but also ethical, transparent, and accountable.
In conclusion, the Journal of Intelligent Data Analytics and Transformation Engineering provides a vital platform for disseminating transformative research that integrates intelligent data analytics with engineering practices. By emphasizing the development of innovative algorithms, intelligent systems, and data-driven solutions, the journal aims to drive forward-thinking approaches that will shape the future of engineering. It seeks to publish research that advances the understanding and application of AI and data analytics in solving complex engineering challenges, fostering sustainability, and improving the efficiency and performance of engineering systems across industries. Through this commitment to high-quality, interdisciplinary research, JIDATE contributes to the continuous evolution of intelligent engineering and the transformation of industries worldwide. The journal is a key resource for academics, researchers, and professionals working at the intersection of data science, artificial intelligence, and engineering, providing them with the latest insights, methodologies, and applications that are shaping the future of engineering and technology.
