Research of Scientia Naturalis is a peer-reviewed forum for the publication of integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles — all pertaining to the fields of Mathematics and Natural Sciences, as detailed in our Focus and Scope.

All publications provide breadth of coverage appropriate to a wide readership in Mathematics and Natural Sciences research, with sufficient depth to inform specialists in the area. Submitted papers must be written in English.

 Journal Title  Research of Scientia Naturalis
 ISSN  (P: 3047-9932) - (E: 3047-9940)
 Initials  RSN
 Abbreviation  Research of Scientia Naturalis
 Frequency  Bimonthly | February, April, June, August, October, and December
 DOI  prefix 10.70177/scientia
 OAI  https://research.adra.ac.id/index.php/scientia/oai
 Editor-in-chief  Tania Avianda Gusman, M.Sc., Ph.D, Scopus ID: 57609165300,
 h-index: 1, Universitas Muhammadiyah Cirebon, Indonesia
 Publisher  Yayasan Adra Karima Hubbi.
 Citation Analysis  Scopus | Web of Science | Sinta | Dimensions | Google Scholar

Before submission,
You have to make sure that your paper is prepared using the Research of Scientia Naturalis paper Template, has been carefully proofread and polished, and conformed to the author guidelines.

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Vol. 3 No. 5 (2026)

cn id jp kr

Published: 2026-11-02

DYNAMIC MODELING OF ECOSYSTEM SERVICES UNDER RAPID CLIMATE CHANGE SCENARIOS TO INFORM POLICY DECISIONS FOR BIODIVERSITY CONSERVATION

Achmad Agus Salim (1), Sota Yamamoto (2), Muhammad Yassir (3)
(1) Institut Teknologi Sepuluh Nopember, ID Indonesia,
(2) Osaka University, JP Japan,
(3) Universitas Gunung Leuser, ID Indonesia
447-464
Abstract Views : 0
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DEVELOPMENT OF SMART SENSOR NETWORKS BASED ON NANOMATERIALS FOR PRECISE ENVIRONMENTAL MONITORING AND INTELLIGENT INFRASTRUCTURE MANAGEMENT SYSTEMS

Saripuddin M. (1), Yang Xiang (2), Wang Jing (3)
(1) Universitas Islam Makassar, ID Indonesia,
(2) Beijing Normal University, CN China,
(3) Nanjing University, ID Indonesia
465-485
Abstract Views : 0
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DEEP LEARNING ALGORITHMS FOR PRECISION AGRICULTURE USING HIGH-RESOLUTION MULTISPECTRAL REMOTE SENSING SATELLITE IMAGERY

Han Jiwon (1), Seo Jiwo (2), Dahlan Susilo (3)
(1) Hanyang University, KR Korea, Republic of,
(2) Universitas Sahid Surakarta, KR Korea, Republic of,
(3) Universitas Sahid Surakarta, ID Indonesia
486-507
Abstract Views : 0
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