Journals
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NSEM: Nexus of Strucutral Equation Modeling
JOURNAL IDENTITY
Title : Nexus of Structural Equation Modeling Initials : NSEM Country : Indonesia Subject : Structural Equation Modeling, Interdisciplinary Modeling, Data Science, Quantitative Analysis in Socio-Techno Sciences Publication Language : English ISSN : xxxx-xxxx Frequency : Biannual (January and July) DOI : Prefix xx.xxxxx / Crossref Editor-in-chief : Hendra H. Dukalang Publisher : ARSCSTIC CENDEKIA, Arcstics Publishing in collaboration with Fakultas Ekonomi dan Bisnis Islam IAIN Sultan Amai Gorontalo[Link MoU] Indexing : Google Scholar. and View more OAI : https://journals.arcstics.id/nsem/index
Nexus of Structural Equation Modeling (NSEM) aims to become the leading journal in presenting original research articles and review papers about Structural Equation Modeling (SEM), approaches to explain Socio-Techno Sciences phenomena. NSEM provides a platform for the dissemination of original empirical studies and comprehensive review articles that contribute to theoretical development and practical applications of SEM techniques. NSEM encourages submissions that utilize a wide range of SEM methodologies, including to Path Analysis, Confirmatory Factor Analysis, Multi-Group SEM, Moderated Mediation, and Latent Growth Modeling. Theoretical articles address new developments; applied articles deal with innovative structural equation modeling applications. Emphasis is placed on the rigorous application of these techniques to real-world problems in diverse fields such as Science, Economics, Finance, Business/Marketing, Management, Engineering, psychology, medicine, sociology, and Computer Science. Manuscripts should demonstrate methodological soundness, theoretical significance, and potential implications for practice or policy
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Reliability: Journal of Industrial Statistics
Reliability: Journal of Industrial Statistics is a prestigious, peer-reviewed, open-access journal established to disseminate the latest advancements in the field of industrial statistics. Published under the esteemed Arcstics Publisher, this journal seeks to reflect the diverse and evolving research issues within industrial statistics. It covers a broad range of topics, including methodological developments, quality control, reliability, and industrial statistics. As part of its comprehensive scope, Reliability: Journal of Industrial Statistics welcomes submissions employing all research methodologies and approaches. Reliability: Journal of Industrial Statistics is published twice a year, in June and December.
The journal places significant emphasis on publishing high-quality articles that address global challenges and contribute to the international discourse, beyond regional or national contexts. Submissions are thoroughly reviewed by the editorial team, followed by rigorous evaluation by at least two international experts in the field through a double-blind peer-review process. This ensures that only the most impactful and scientifically sound research is published, maintaining the journal's reputation for excellence and relevance in advancing the field of industrial statistics.
Title : Reliability: Journal of Industrial Statistics 
Initials : Reliability Publications : Biannual (June and December) DOI : prefix 10.30598 by crossref Acreditation : - Print ISSN : - Online ISSN : 3110-1674 Editor-in-chief : Muhammad Zulfadhli [GS ID] [Scopus ID] Citation Analysis : Scopus|DOAJ|Dimensions|Google Scholar Publisher : ARSCSTIC CENDEKIA, Arcstics Publishing in collaboration with Fakultas Ekonomi dan Bisnis Islam IAIN Sultan Amai Gorontalo[Link MoU] ORCID : - Scope : Quality control, reliability, and industrial statistics -
IRIEF: International Review of Islamic Economics and Finance
JOURNAL IDENTITY
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OAI Address: International Review of Islamic Economics and Finance
: IRIEF
: Biannual (January, and July)
: English and Indonesia
: https://doi.org/10.XXXXX/XXXXXX
: XXXX-XXXX
: Supandi Rahman
: ARSCSTIC CENDEKIA, Arcstics Publishing
: Indonesia
: https://journals.arcstics.id/irief/indexInternational Review of Islamic Economics and Finance (IRIEF) aims to become the leading journal in Asia in presenting original research articles and review papers about Islamic Economics and Finance approaches to explain Socio-Techno Sciences phenomena. IRIEF will accept high-quality articles utilizing Economic, Business, Finance, Engineering and Computer Science to gain Islamic
Submissions to IRIEF are carefully evaluated to ensure they meet the high standards of scientific rigor and originality that the journal is known for. Articles are expected to contribute new insights into Socio-Techno Sciences questions through SEM methods, whether it's through causal modeling, statistical analysis, or other quantitative techniques. This rigorous review process ensures that each publication within the journal represents a meaningful contribution to the field, offering researchers and practitioners valuable resources for expanding their knowledge and application of structural models. Ultimately, IRIEF aims to be a key source of inspiration and information for scientists and academics working at the intersection of statistics, multivariate, and causal modeling. All accepted manuscripts will be subjected to double-blind reviews by expert reviewers.
EDITORIAL PROCESS
3 days
Submission to first decision
70 days
Submission to acceptance
7 days
Acceptance to publish
BEFORE SUBMISSION
The author has to ensure the manuscript has been prepared using IRIEF template following the author guidelines. The manuscript should also have been carefully proofread and a similarity check (the proofreading certificate and similarity check result must be attached as a supplementary file in the submission process). Any manuscript that does not meet the author's guidelines, focus, and scope, is written in a different format, or has poor soundness of English will be immediately rejected. The only manuscript which meets the NSEM standard will be processed further.
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JASS: Journal of Applied Spatial Statistics
JASS: Journal of Applied Spatial Statistics is a peer-reviewed, open-access journal dedicated to advancing the field of mathematics education. Published biannually in June and December since its inception in December 2026, JASS: Journal of Applied Spatial Statistics serves as a vital platform for a global community of academics, practitioners, and researchers—including teachers, professors, and students—to disseminate high-quality research. The journal welcomes original research articles and, by invitation, comprehensive review articles from leading experts in mathematics education, both from Indonesia and abroad. JASS: Journal of Applied Spatial Statistics scope encompasses all areas of Spatial statistics, Applied Spatial Statistics, Spatial Extreme Model, Mathematics in Spatial Field, Spatial analysis in environment field and Spatial in Machine Learning.
Title : JASS: Journal of Applied Spatial Statistics 
Initials : JASS Publications : Biannual (January and June) DOI : prefix 10.30598 by crossref Acreditation : - Print ISSN : - Online ISSN : 2655-6464 Editor-in-chief : Arief Rachman Hakim [GS ID] [57225850011] Citation Analysis : Scopus|DOAJ|Dimensions|Google Scholar Publisher : ARSCSTIC CENDEKIA, Arcstics Publishing in collaboration with Fakultas Ekonomi dan Bisnis Islam IAIN Sultan Amai Gorontalo[Link MoU] ORCID : - OAI : https://journals.arcstics.id/jass/ Authors are required to prepare their manuscripts using the official JASS template and in strict compliance with the author guidelines. Submissions must typically be multi-authored; sole authorship is permitted only for scholars invited by the editors or those with an established, reputable record in mathematics education research. All manuscripts must be thoroughly proofread and screened for plagiarism. Notably, for the 2025 edition, a proofreading certificate is mandatory and must be uploaded as a supplementary file. The journal will desk-reject any manuscript that deviates from the guidelines, falls outside its aim and scope, uses an incorrect format, or exhibits poor English grammar. Only submissions that fulfill all JASS: Journal of Applied Spatial Statistics standards will advance to the review stage. Online submission and status tracking require prior registration and login.
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COMETS: Convergence of Mathematics and Statistics
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Journal Title
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OAI Address: Convergence of Mathematics and Statistics
: COMETS
: Biannual (January, and July)
: English
: https://doi.org/10.XXXXX/comets
: XXXX-XXXX
: Setia Ningsih
: ARSCSTIC CENDEKIA, Arcstics Publishing
: Indonesia
: https://journals.arcstics.id/cometsConvergence of Mathematics and Statistics (COMETS) aims to become the leading journal in Southeast Asia in presenting original research articles and review papers about mathematical and statistics approaches to explain Socio-Techno Sciences phenomena. COMETS will accept high-quality articles utilizing mathematical and statistical analysis to gain Socio-Techno Sciences understanding in the fields of, but not restricted to Economic, Business, Finance, Engineering and Computer Science.
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CODEVERSE: Journal of Emerging Digital Realities
CODEVERSE: Journal of Emerging Digital Realities is a peer-reviewed journal dedicated to the exchange of high-quality research results in all aspects of statistics, data science, computer science, and information technology. This journal publishes cutting-edge articles in basic theory, experiments, and simulations, as well as applications, with systematically proposed methods, adequate reviews of previous works, in-depth discussions, and concise conclusions. Matrik follows an open access policy that allows published articles to be accessed online for free without a subscription. Manuscripts can be submitted at any time, with notification within 1-2 weeks. Please email codeversejournal@gmail.com for a faster response. Click here for Online Submission. CODEVERSE: Journal of Emerging Digital Reality is published twice a year, in June and December.
Informasi Jurnal Nama : CODEVERSE: Journal of Emerging Digital Realities Nama Pendek : CODEVERSE Kependekan : Jur. Ilm. Komp. & Infor. Frekuensi Terbit : 2 edisi setiap tahun (Juni dan Desember) Artikel : 5 Artikel setiap Edisi DOI : xxxx-xxxx P-ISSN : xxxx-xxxx e-ISSN : xxxx-xxxx Author Fees / APC : 0, Scope : Data Science, Statistika, Ilmu Komputer, Informatika, Information Technology, Software Development, Artificial Intelligent 
The journal has been listed in, supported by, or indexed by trusted institutions:
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INSIGHT : Journal of Applied Technolgy for Community Service
INSIGHT : Journal of Applied Technolgy for Community Service with registration number ISSN XXXX-XXXX (online) is a scientific multidisciplinary journal published by Ahmad Dahlan University. This journal is a journal that covers issues regarding the application of technology applications in society. The purpose of this journal publication is to disseminate conceptual thoughts or ideas and research results that have been achieved in the field of service to the community.
INSIGHT : Journal of Applied Technolgy for Community Service has been published since June 2020, to be precise since the release of Volume 1, Number 1, 2025. INSIGHT : Journal of Applied Technolgy for Community Service as a main focus on developing the sciences in dedication to Public. Detailed scopes of articles accepted for submission to INSIGHT are Applied Technology, Product Design and Development, Technopreneur, Technology Applications, and Educational Technology, Information Technology and Information Systems.
Every submitted manuscript will be read by the editorial team. Manuscripts that are evaluated by the editor and if deemed not in accordance with the journal's criteria will be rejected without external review. Manuscripts that we consider potentially interesting to readers are sent to peer reviewers. After reviewing the manuscript by a reviewer, the manuscript will be returned to the author for revision. The editorial team makes decisions based on the reviewers recommendations. INSIGHT : Journal of Applied Technolgy for Community Service is published 2 times in 1 year, namely June and December. SPEKTA (Journal of Community Service: Technology and Applications) is published 2 times in 1 year, namely June and December.
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Mitigation: Journal of Atmospheric and Earth Sciences
Title : JASS: Journal of Applied Spatial Statistics 
Initials : JASS Publications : Biannual (January and June) DOI : prefix 10.30598 by crossref Acreditation : - Print ISSN : - Online ISSN : xxxx-xxxx Editor-in-chief : Muhammad Yahya Matdoan [GS ID] [Scopus ID] Citation Analysis : Scopus|DOAJ|Dimensions|Google Scholar Publisher : ARSCSTIC CENDEKIA, Arcstics Publishing in collaboration with Fakultas Ekonomi dan Bisnis Islam IAIN Sultan Amai Gorontalo[Link MoU] ORCID : - OAI : https://journals.arcstics.id/jass/ JASS: Journal of Applied Spatial Statistics is a peer-reviewed, open-access journal dedicated to advancing the field of mathematics education. Published biannually in June and December since its inception in December 2026, JASS: Journal of Applied Spatial Statistics serves as a vital platform for a global community of academics, practitioners, and researchers—including teachers, professors, and students—to disseminate high-quality research. The journal welcomes original research articles and, by invitation, comprehensive review articles from leading experts in mathematics education, both from Indonesia and abroad. JASS: Journal of Applied Spatial Statistics scope encompasses all areas of mathematics education, with a particular focus on: Realistic Mathematics Education (RME), Design Research in Mathematics Education, School Mathematics and Curriculum Studies, Mathematical Literacy and PISA Problems, Ethnomathematics, Technology and ICT in Mathematics Education
