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Swastya Rahastamaa
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POSITRON
Published by Universitas Tanjungpura
ISSN : 23014970     EISSN : 2549936X     DOI : http://dx.doi.org/10.26418/positron.v10i2.42006
Core Subject : Science,
Energy Physics
POSITRON: Berkala Ilmiah Fisika (POSITRON) is a peer-reviewed open accessed Indonesian journal that publishes scientific research papers in the field of physics and its application. The journal covers a wide range of topics in physics, including conceptual studies, theoretical and experimental studies, the use of computational methods, instrumentation, and multidisciplinary studies involving physics. This journal aims to be a platform to exchange research results in physics-related topics across all scientific disciplines. POSITRON is published by Jurusan Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Tanjungpura, Indonesia, twice a year (Mei and November). This journal is accreditated SINTA 2 by RISTEKDIKTI and indexed in Directory of Open Access Journal (DOAJ), Bielefeld Academic Search Engine (BASE), Google Scholar, Science and Technology Index (Sinta), Garda Rujukan Digital (GARUDA), and Indonesia One Search (IOS). All articles in this journal are uniquely identified with DOI.
Arjuna Subject : Fisika dan Astronomi - Fisika Nuklir dan Energi Tinggi
Articles 212 Documents
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Automatic Recognition of Pelung and Canary Bird Sounds Using Machine Learning and Signal Enhancement Agustika, Dyah Kurniawati; Kadarisman, Nur; Sumarna, Sumarna; Purwanto, Agus
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.93137

Abstract

Bird sound classification is a valuable tool in ecological monitoring and species identification, particularly for non-invasive assessment in natural environments. However, challenges such as limited labeled data and environmental noise often reduce the reliability of classification models. This study presents a lightweight bird sound classification pipeline that integrates signal preprocessing, audio augmentation, and machine learning to address these issues. Two bird species with distinct vocal characteristics, Pelung (a crossbreed involving Bangkok chickens) and Canary (Serinus canaria), were used as case subjects. A total of 40 original 2-second audio clips were extracted from longer field recordings, then processed through frame-based energy attenuation, bandpass filtering (1–8 kHz), and RMS normalization. Ten augmentation techniques were applied to each original file to improve generalization, generating 400 augmented files for model training. Feature extraction was performed using 13-dimensional Mel Frequency Cepstral Coefficients (MFCCs), and Principal Component Analysis (PCA) was used to visualize the effect of filtering. Classification was conducted using a Support Vector Machine (SVM) with a radial basis function (RBF) kernel. Results showed that filtering improved classification accuracy from 90% to 95% on the original data. Furthermore, using only augmented data for training and original data for testing yielded 100% classification accuracy, demonstrating excellent generalization. This study highlights the effectiveness of combining adaptive preprocessing and augmentation for reliable bird sound classification under limited and noisy conditions.
Sintesis Nano Fertilizer Carbon Dots dari Kulit Pisang Nangka (Musa paradisiaca L.) yang Diperkaya Urea dan Pengujiannya pada Pertumbuhan Vegetatif (Awal) Tanaman Jagung Taqiyyah, Izzatut; Maddu, Akhiruddin; Suhartanto, M Rahmad
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.86743

Abstract

Carbon dots (CDs) yang berasal dari karbon hijau merupakan salah satu contoh bahan organik yang dapat digunakan untuk membuat pupuk nano yang tidak beracun dan ramah lingkungan. Pada penelitian ini dilakukan proses sintesis nano fertilizer (pupuk nano) carbon dots yang diberi pengayaan nitrogen (N-CDs) dari prekursor kulit pisang nangka dan dilakukan pengujiannya sebagai pupuk nano pada pertumbuhan vegetatif jagung. Penelitian ini juga menguji karakteristik N-CDs dan efektivitasnya terhadap pertumbuhan vegetatif jagung. Metode yang digunakan adalah metode perbandingan langsung. Berdasarkan uji karakteristik CDs dan N-CDs, sejumlah gugus fungsi yang dimiliki bersama oleh CDs dan N-CDs adalah gugus hidroksil C(=O)OH dan sejumlah gugus fungsi lainnya seperti C=C-C, C-O-O, dan C-Cl terdapat dalam N-CDs tetapi tidak dalam CDs. Energi celah pita CDs kulit pisang nangka 40 mg/L urea 0% adalah 2,46 eV, dan CDs kulit pisang nangka 40 mg/L urea 10% adalah 3,99 eV. Cahaya sian dihasilkan oleh CDs dan N-CDs, namun warna sian kurang kuat pada N-CDs. Demikian pula, CDs 40 mg/L dan N-CDs 40 mg/L urea 10%, masing-masing menghasilkan panjang gelombang emisi 505 nm dan 496 nm berdasarkan uji Confocal Laser Scanning Microscope (CLSM). Secara signifikan kinerja N-CDs menunjukkan pengaruh yang lebih baik dibandingkan perlakuan CDs dan urea pada pertumbuhan vegetatif jagung.

Page 22 of 22 | Total Record : 212

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