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All Journal EIGEN MATHEMATICS JOURNAL Jurnal Pengabdian kepada Masyarakat Bina Darma Semeton Mathematics Journal
Rayes, Putri Rahmasari
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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Peningkatan Kompetensi Mahasiswa Melalui Program MSIB Batch 5 dalam Project Research Management di Telkom CorpU, PT. Telekomunikasi Indonesia Tbk Rayes, Putri Rahmasari; Amryliana, Septia; Nisdania, Baiq Nori; Bunayya, Putri Ayu
Jurnal Pengabdian kepada Masyarakat Bina Darma Vol. 4 No. 1 (2024): Jurnal Pengabdian kepada Masyarakat Universitas Bina Darma
Publisher : DRPM-UBD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/pengabdian.v4i1.2830

Abstract

Program Magang & Studi Independen Bersertifikat (MSIB) mencerminkan langkah awal dalam memberikan pelatihan komprehensif kepada mahasiswa, memberi ruang bagi mereka untuk menjelajahi pembelajaran di luar fokus program studi perguruan tinggi. Program ini bertujuan untuk meningkatkan kompetensi dan standar kualitas lulusan, serta mempersiapkan mereka menghadapi tantangan era industri 4.0 dan revolusi digital. PT. Telekomunikasi Indonesia Tbk, melalui Unit Telkom Corporate University Center (Telkom CorpU), menjadi salah satu mitra yang berkolaborasi dengan Kemendikbudristek, bersedia membuka peluang bagi mahasiswa untuk mengembangkan pengetahuan dan keterampilan baru yang relevan dengan dunia kerja. Penelitian ini menggunakan metode observasi langsung dan pendekatan kualitatif deskriptif yang menghasilkan data primer berupa hasil observasi peneliti selama mengikuti program MSIB Batch 5 ini. Kegiatan ini dilaksanakan secara wfh selama lima bulan, dimulai dari tanggal 14 Agustus hingga 29 Desember 2023. Metode pembelajaran yang diterapkan mencakup Self Learning, disccus, dan assesment. Melalui Program Magang MSIB Batch 5 pada Project Research Management, mahasiswa berhasil mengembangkan sejumlah kompetensi krusial sesuai dengan chapter masing-masing pada Project Research Management. Program ini membekali mahasiswa dengan keterampilan yang sangat relevan dan beragam untuk sukses dalam mengelola proyek riset dan mengembangkan bisnis.
Implementation of Fast Fourier Transform and Least Mean Square Algorithms in The Denoising Process of Audio Signal Rayes, Putri Rahmasari; Robbaniyyah, Nuzla Af'idatur; Bahri, Syamsul
Eigen Mathematics Journal Vol 8 No 1 (2025): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i1.255

Abstract

Audio signals play an important role as a medium for storing information, such as lecture materials, interview results, and other archives. However, audio signals are often contaminated by noise, which is unwanted interference that can affect their quality. Therefore, a denoising process is needed to reduce or eliminate noise components in the signal. The Fast Fourier Transform (FFT) and Least Mean Square (LMS) algorithms are frequently used in the denoising process due to their simple and easy-to-implement steps. This research uses primary data, specifically audio signals recorded under two noise conditions: rain noise as Audio Signal 1 and guitar instrument noise as Audio Signal 2, both stored in WAV format. The denoising process was performed using MATLAB software and evaluated based on Signal-to-Noise Ratio (SNR) and Mean Squared Error (MSE) metrics. Higher SNR values and lower MSE values indicate the success of the denoising process in improving audio signal quality. The results of this study demonstrate the effectiveness of the applied algorithms, where the SNR value reached 38.2596 dB with an MSE of 0.0000028211 for Audio Signal 1, and an SNR value of 38.6881 dB with an MSE of 0.0000014988 for Audio Signal 2. An SNR value between 25 dB and 40 dB is categorized as a very good signal, indicating that the quality of the processed audio signals falls into the very good signal category.
Simulasi Penghilangan Noise pada Sinyal Suara menggunakan Metode Fast Fourier Transfrom Septiawan, Redza Dwi; Rayes, Putri Rahmasari; Robbaniyyah, Nuzla Af'idatur
Semeton Mathematics Journal Vol 1 No 1 (2024): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i1.203

Abstract

Sound signals are widely used such as when communicating, recording, or medical testing. However, voice signals are often contaminated by noise or interference which can reduce the quality and clarity of sound caused by weather, being in crowded places and other factors. Therefore, noise reduction in voice signals is important in voice signal processing. This study aims to reduce noise in voice signals using the FFT method. The Fast Fourier Transform (FFT) method is used to identify frequencies and reduce noise in voice signals. The data used is in the form of recordings, namely the sound of speech and the sound of rain as noise. This research was conducted with the help of MATLAB R2022a software. The results of this study indicate that the FFT method is effective in reducing noise in the voice signal and improving the sound quality to be cleaner and clearer than the original sound signal before noise removal is performed.
Co-Authors Amryliana, Septia Bunayya, Putri Ayu Nisdania, Baiq Nori Robbaniyyah, Nuzla Af'idatur Septiawan, Redza Dwi Syamsul Bahri