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All Journal Jurnal Agrotek Tropika Environmental and Materials
Ramadhani, Fathia
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Energy Engineering Physics

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Advancements in diagnostic approaches for malaria and dengue fever cases in Indonesia and Nigeria Prasaja, Brahma Indra; Ramadhani, Fathia; Abdulhamid, Kabiru Abdullahi
Environmental and Materials Vol. 3 No. 1: (June) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v3i1.2025.1906

Abstract

Background: This review aims to compare diagnostic advancements for malaria and dengue fever in Indonesia and Nigeria, highlighting the implementation of AI-based technologies and electrochemical biosensors. Both diseases are endemic in these tropical countries and present overlapping clinical symptoms, making laboratory-based confirmation methods such as RT-PCR and serological assays critical for accurate diagnosis. Methods: A structured literature review was conducted using Scopus, PubMed, and IEEE Xplore databases, focusing on peer-reviewed studies published between 2015 and 2024 that reported diagnostic performance and field applicability of the technologies. This scientific review synthesizes existing literature on infection mechanisms, conventional diagnostic methods (microscopy, RDT, ELISA, PCR), and state-of-the-art sensing technologies, including the AI-based malaria detection system (AIDMAN: YOLOv5 + Transformer + CNN) and electrochemical biosensors for dengue. Findings: The AI approach for malaria achieved high accuracy (patch-level 98.62% AUC 99.92%; image-level 97% AUC 98.84%). Dengue NS1 electrochemical biosensors reached a detection limit of ~10⁻¹² g/mL with excellent sensitivity and reproducibility, suitable for point-of-care use. Conclusion: Integrating sensing technologies from rapid tests to AI-driven microscopy and biosensors enables faster, more accurate diagnosis, improving patient management in resource-limited settings. Novelty/Originality of this article: This is the first comprehensive review that bridges cross-country (Indonesia and Nigeria) and cross-technology (AI and biosensor) approaches, offering valuable insight into sustainable diagnostic innovation for tropical infectious diseases.
EFEKTIFITAS FRAKSI METANOL BEBERAPA EKSTRAK TANAMAN UNTUK MENGENDALIKAN PENYAKIT BULAI (Peronosclerospora spp.)PADA TANAMAN JAGUNG (Zea mays L.) Ramadhani, Fathia; Efri, Efri; Dirmawati, Suskandini Ratih; Prasetyo, Joko
Jurnal Agrotek Tropika Vol. 13 No. 1 (2025): JURNAL AGROTEK TROPIKA VOL 13, FEBRUARI 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i1.9851

Abstract

Penyakit bulai merupakan salah satu kendala utama pada tanaman jagung di Indonesia.  Pengendalian alternatif penyakit dikembangkan dengan penggunaan fungisida nabati.  Tujuan penelitian ini adalah mengetahui kemampuan fraksi metanol ekstrak tanaman tunggalmaupun kombinasi dalam mengurangi penyakit bulai pada tanaman jagung.  Penelitian dilaksanakan di halaman Gdan Laboratorium Ilmu Penyakit Tumbuhan Fakultas Pertanian Universitas Lampung pada bulan Februari - Maret.  Perlakuan disusun dalam rancangan acak kelompok (RAK) dengan delapan perlakuan dan tiga ulangan.  Perlakuan terdiri atas ekstrak daun sirih, daun mimba, dan daun kelor.  Data dianalisis dengan menggunakan analisis sidik ragam dan dilanjutkan dengan perbedaan nilai tengah antar perlakuan menggunakan Uji Beda Nyata Terkecil (BNT) pada taraf nyata 5%.  Hasil penelitian menunjukkan bahwa fraksi metanol ekstrak tanaman tunggal maupun kombinasi efektif menekan intensitas penyakit bulai, dan tidak ada perbedaan keefektifan terhadap ekstrak tanaman tersebut.
Co-Authors Abdulhamid, Kabiru Abdullahi Efri, Efri Joko Prasetyo Prasaja, Brahma Indra Suskandini Ratih Dirmawati