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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Scientific Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dewa Ruci : Jurnal Pengkajian dan Penciptaan Seni EDUKATIF : JURNAL ILMU PENDIDIKAN Indonesian Journal of Music Research, Development, and Technology
Midyanti, Hafizhah Insani
Universitas Pendidikan Indonesia
Arts Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Integrating audio technology and FFT analysis to explore microtonality and the "missing fundamental" in kacapi siter Midyanti, Hafizhah Insani; Sukmayadi, Yudi; Munir; Julia; Sella, Fensy; Saiful, Abizar Algifari; Midyanti , Dwi Marisa
Dewa Ruci: Jurnal Pengkajian dan Penciptaan Seni Vol. 20 No. 2 (2025)
Publisher : Pascasarjana Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/dewaruci.v20i2.7686

Abstract

The Sundanese Kacapi Siter exhibits distinctive microtonal characteristics and acoustic phenomena requiring objective documentation. This study integrates high-fidelity audio recording with Fast Fourier Transform (FFT) analysis to examine the microtonal properties of the Pelog Sunda tuning system and the missing fundamental phenomenon in this traditional instrument. Using Practice-Led Research methodology, we recorded 20 single-note samples with a Neumann TLM 103 condenser microphone in natural reflective classroom conditions, analyzing them through SPAN FFT spectral analysis and cent deviation calculations against 12-TET standards. Results demonstrate systematic microtonality with deviations ranging from -15 to +28 cents, with note "Ti" consistently sharp (+17 to +28 cents) and note "Na" consistently flat (-5 to -13 cents) across octaves (p<0.001, effect size d=2.4). Spectral analysis reveals a missing fundamental phenomenon in low-register notes (La 4: 58.2 Hz, Ti 4: 66.5 Hz), where harmonics dominate perceived pitch despite weak fundamental-frequency energy (-14.3 to -8.9 dBFS fundamental vs. -6.2 to -4.1 dBFS second harmonic). These findings provide quantitative evidence that Sundanese tuning represents a structured non-Western pitch system with intentional microtonal design, advancing computational ethnomusicology through objective acoustic documentation methods that enable preservation, comparative analysis, and technological applications in digital instrument development.
Single hidden layer feedforward neural networks for indoor air quality prediction Midyanti, Dwi Marisa; Bahri, Syamsul; Ilhamsyah, Ilhamsyah; Khairunnisa, Zalikhah; Midyanti, Hafizhah Insani
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp322-328

Abstract

Indoor air quality (IAQ) has become a problem because it affects human health, comfort, and productivity. Predicting air quality is a complex task due to the dynamic nature of IAQ variable values simultaneously. In this study, the single hidden layer feedforward neural networks model is used, namely radial basis function (RBF), self-organizing maps (SOM)-RBF, and extreme learning machine (ELM) to classify IAQ. This study also observed the effect of the number of neurons in the hidden layer on the model accuracy and overfitting of each network. The experimental results show that the number of neurons in the hidden layer can affect the accuracy of the RBF and SOM-RBF models. Among the three models used, RBF produces very good training data accuracy but also the most significant overfitting value. The largest overall accuracy was obtained using SOM-RBF, with a value of 86.37%.
Co-Authors Abizar Algifari Saiful Adinda Sri Agustini Agus Maulana Usman Anugrah, Agung Tresna Aulia Eka Wulandari Deviana Vakhira Dwi Marisa Midyanti Ilhamsyah Julia Khairunnisa, Zalikhah Marvel Hegi Anugerah Midyanti , Dwi Marisa Munir Petris Simanjuntak Riza Amelia Salma Nabila Amany Sandi Putra Ikhsan Satria Wahyu Cahyana Sella, Fensy Shifa Anggia Prinanda Siti Mutiah Suhardi Syamsul Bahri Syamsul Bahri Yudi Sukmayadi