About the Journal

The Methods in Science and Technology Studies (MSTS) (e-ISSN: 3123-4232) is a peer-reviewed and open-access scientific journal, managed and published by PT. Teknologi Futuristik Indonesia in collaboration with Universitas Qamarul Huda Badaruddin Bagu and Peneliti Teknologi Teknik Indonesia.

The journal publishes research that focuses on methods, models, analytical approaches, and systematic studies in science, technology, and science- and technology-based education. It aims to support the development and application of scientific and technological methods in addressing research problems and practical challenges.

The journal accepts original research articles and review papers that present methodological frameworks, experimental and analytical methods, computational models, and applied studies in science, technology, and education, including interdisciplinary and applied perspectives.

Scope includes:

Natural and applied sciences
Engineering and technology studies
Computational, mathematical, and data-driven methods
Machine learning, artificial intelligence, and information technology
Decision-making, optimization, and forecasting methods
Science and technology–based education studies
Legal and regulatory studies related to science and technology

The journal provides a focused platform for methodological and applied studies in science, technology, education, and related regulatory contexts.

Author Diversity Map

Current Issue

Vol. 2 No. 1 (2026): June Article in Process

The author's country affiliations are Republic of Korea, "Trinidad and Tobago", United Kingdom, Nigeria, United States, and Spain.

DOI: https://doi.org/10.64539/msts.v2i1

Published: 2026-02-27

Articles

How to Utilize Generative AI to Compose Music through the Diary for the Possibility about User Experience and Service?

Nahyun Woo, Keimyung University, Korea, Republic of

Jeahyun Choi, Keimyung University, Korea, Republic of

Hongmi Yang, Keimyung University, Korea, Republic of

Minju Kim, Keimyung University, Korea, Republic of

Jeongbin Choi, Keimyung University, Korea, Republic of

Soonkyu Jang, Keimyung University, Korea, Republic of
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An Application of Manifold-Constrained Hyper-Connection in A Progressive Web App for Sovereign Debt Sustainability Analysis

Don Charles, Independent Economic Research Consultant, Trinidad and Tobago
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Thermal Stability of EVA Nanocomposites for Solar Cell Encapsulation

Ganiyu Olamide Ogunsiji, Teesside University Middlesbrough, United Kingdom

https://orcid.org/0009-0006-4445-6685

Oluwaseyi Omotayo Alabi, Lead City University, Nigeria

https://orcid.org/0009-0005-0027-5930

Adeoti Oyegbori Laoye, Lead City University, Nigeria

https://orcid.org/0009-0000-0610-9670

Saidat Abisoye Salisu, Lead City University, Nigeria

https://orcid.org/0009-0006-9003-0917

Samuel Adekunle Dada, Kwara State Polytechnics, Nigeria

https://orcid.org/0000-0002-1815-0504
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Interpretable Academic Outcome Prediction Using Explainable Boosting Machines

Godfrey Perfectson Oise, Wellspring University, Nigeria

https://orcid.org/0009-0006-4393-7874

Felix Oshiorenoya Uloko, Veritas University, Nigeria

https://orcid.org/0009-0009-5622-3645

Kevin Chinedu Pius, Wellspring University, Nigeria

Enovwo Eferoba–Idio, Wellspring University, Nigeria

https://orcid.org/0009-0000-9147-337X

Michael Uyiosa Edobor, University of Benin, Nigeria

Evans Mintah, Westcliff University, United States

Osahon Ukpebor, University of the Cumberlands, United States

Oludare Sokoya, National University, United States

Tejiri Jessa, Westcliff University, United States
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The Impact of the Modern Trends on the Complexing of the Business Model of High Tech IT Company

Denis S. Pashchenko, SlavaSoft, Spain
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