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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pertanian Agros
Amin, Rohmatul
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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METODE PENGUKURAN LUAS DAUN TANAMAN MENGGUNAKAN BANTUAN OBJEK TUNTUN BERBASIS PENGOLAHAN CITRA DIGITAL Ramadhani, Farchan Mushaf Al; Sajuri, Sajuri; Amin, Rohmatul; Lutfiana, Anisa
Agros Journal of Agriculture Science Vol 26, No 4 (2024): Edisi Oktober
Publisher : Fakultas Pertanian, Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v26i4.4832

Abstract

Leaf area data is required to measure leaf area index and net assimilation. Several existing leaf area measurement methods have advantages and disadvantages. Therefore, developing a method that can address some of these shortcomings is necessary. This research aims to analyze the accuracy and feasibility of leaf area measurement methods using object tuntun and digital image processing. The research method used is to compare leaf area measurement techniques using the leaf constant method, leaf area meter, and method of measuring leaf area with the help of digital image processing-based objects tuntun. Data analysis uses R2, RMSE, NRMSE, NSE, and d. The results showed that the leaf area measurement method using digital image processing-based object tuntun assistance is excellent and accurate, and the results have a robust and linear correlation with leaf area measurements using the leaf constant method and leaf area meter. Therefore, the method of measuring leaf area using the help of digital image processing-based objects tuntun is very feasible to be developed and applied to become one of the methods of calculating leaf area that is accurate, fast, and for various leaf sizes and various types of plants.
Abundance and Diversity of Plankton as Bioindicators of Coastal Paddy-Field Water Quality in Batang Regency, Indonesia Handriatni, Ari; Ariadi, Heri; Al Ramadhani, Farchan Mushaf; Badrudin, Ubad; Jazilah, Syakiroh; Amin, Rohmatul; Faza, M. Akmal; Ma'Arif, Samsul; Pradana, Candra Dwi; Hadiprasetya, Anandya
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12550

Abstract

This investigation evaluated spatial and temporal variations in plankton abundance and community structure to determine their effectiveness as bioindicators of water quality in coastal rice-field ecosystems of Batang Regency, Central Java. Plankton samples were collected from five sampling stations using 80 mL film vials and subsequently identified through laboratory-based taxonomic analysis. Key physicochemical factors were measured ex situ, and the analyses evaluated plankton abundance, Shannon–Wiener diversity index (H’), evenness (e), dominance (C), and saprobic index. Results demonstrated relatively low plankton abundance, with Bacillariophyceae (40%), particularly Chaetoceros sp., representing the principal taxonomic group, followed by Chlorella sp. Moderate diversity levels (H’ = 1.45–2.85), high evenness (e > 0.6), and low dominance (C < 0.5) indicated a community structure with stable ecological dynamics. Most water quality parameters conformed to Indonesian water-quality criteria, characterized by a salinity of 0.5 g/L, temperatures of 23–24 °C, and dissolved-oxygen concentrations above 4.0 mg/L. However, the saprobic index revealed light to moderate pollution at stations near settlements and downstream river segments, likely influenced by domestic wastewater, agricultural runoff, and seawater intrusion. Overall, the ecosystem remained supportive of primary productivity, emphasizing the significance of plankton as sensitive indicators for monitoring coastal agricultural environments
Co-Authors Al Ramadhani, Farchan Mushaf Anisa Lutfiana, Anisa Ari Handriatni Faza, M. Akmal Hadiprasetya, Anandya Heri Ariadi Ma'arif, Samsul Pradana, Candra Dwi Ramadhani, Farchan Mushaf Al Sajuri, Sajuri Syakiroh Jazilah Ubad Badrudin