scholarly journals Analysis of Angklung Sound Intensity as a Acoustic Instrument

2017 ◽  
Vol 2 (1) ◽  
pp. 122 ◽  
Author(s):  
Rizka Silviana Hartanti ◽  
Budi Astuti
Keyword(s):  
Research Method ◽  
Sound Intensity ◽  
Sound Level ◽  
Tube Length ◽  
High Tone ◽  
Sound Level Meter ◽  
Independent Variable ◽  
Constant Distance ◽  
Low Tone ◽  
Level Meter

<p style="text-align: justify;">The purpose of this study was to analysis of angklung sound intensity. The research method is using angklung musician 2 octaves. Each consists of two tube tone that sounded from the tone of G to G ', length and diameter of the tube every tone becomes independent variable, while intensity of the sound produced becomes dependent variable. Sound intensity is measured using a Sound Level Meter is placed with a constant distance. The result showed that G tone was a low tone which had a frequency of 49.5 Hz, first tube had 21.6 cm length and 4.1 cm diameter, second tube had 10.1 cm length and 3.4 cm diameter produced the sound intensity of 90.7 dB. G’ tone was a high tone which had a frequency of 99 Hz, first tube had 10 cm length and 3 cm diameter, second tube had 5.5 cm length and 2.1 cm diameter produced the sound intensity of 99.1 dB. It can be concluded that the higher the frequency, the greater the intensity of the sound produced. The shorter tube length and the smaller tube diameter, the greater the intensity of the sound. ©2016 JNSMR UIN Walisongo. All rights reserved.</p>

scholarly journals Pengukuran Koefisien Absorbsi Bunyi pada Serbuk Gergaji Kayu Nyatoh (Palaquium species) sebagai Bahan Peredam

Jurnal MIPA ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Rizky Kurniawan Imban ◽  
As'ari . ◽  
Seni Herlina J. Tongkukut
Keyword(s):  
Grain Size ◽  
Physical Properties ◽  
Mass Density ◽  
Sound Intensity ◽  
Sound Level ◽  
Sound Level Meter ◽  
Particle Board ◽  
Level Meter ◽  
Reflection Intensity ◽  
Initial Intensity

Telah dilakukan penelitian untuk memperoleh nilai koefisien absorbsi bunyi pada papan partikel dari bahan campuran serbuk gergajian kayu nyatoh dan tepung kanji dengan variasi ukuran butir. Papan partikel dibuat dengan komposisi 50 g serbuk gergaji dan 50 g tepung kanji. Papan partikel dibuat dengan rapat massa (ρ) = 0,62 x 103 kg.m-3. Koefisien absorbsi bunyi diukur dengan menggunakan sound level meter, intensitas bunyi yang diukur antara lain intensitas bunyi yang datang, intensitas yang dipantulkan dan intensitas yang ditransmisikan. Intensitas absorbsi didapat dengan mengurangkan intensitas awal ( ) dengan intensitas transmisi ( ) dan intensitas refleksi ( ). Data yang diperoleh dibuat grafik dan dianalisis. Diperoleh hasil bahwa papan partikel yang terbuat dari campuran serbuk gergajian kayu nyatoh dan tepung kanji dengan komposisi 1:1 (sampel 3) adalah papan partikel terbaik sebagai bahan absorbsi bunyi pada penelitian ini. Papan partikel mempunyai sifat fisis: koefisien absorbsi 0,15 cm-1, intensitas refleksi 1,5 dB, intensitas absorbsi 29,45 dB dan efisiensi absorbsi 29,42 %.Research has been conducted to obtain the sound absorbtion coefficient of the particle board from the mixture of the sawdust of Nyatoh and the starch with the variation of the grain size. Particle board is made with the composition of 50 g sawdust and 50 g starch. Particle board is made with the mass density (ρ) = 0.62 x 103 kg.m-3. Sound absorbtion coefficient is measured using a sound level meter, sound intensity is measured such as the intensity of incident sound, the intensity of reflected sound and the intensity of transmitted sound. The intensity of absorbtion is obtained by reducing the initial intensity (I0) with the transmission intensity (IT) and the reflection intensity (IR). The obtained data were graphed and analyzed. The results indicated that the particle board that is made from the mixture of the sawdust of Nyatoh and the starch with the composition 1:1 (sample 3) is the best particle board as sound absorbtion material in this research. The particle board has physical properties: the absorbtion coefficient 0.15 cm-1, the reflection intensity 1.5 dB, the absorbtion intensity 29.45 dB, and the absorbtion efficiency 29.42%. t-f�5y � p ew Roman";mso-ansi-language:SV;mso-fareast-language:EN-US;mso-bidi-language: AR-SA'>Papan partikel dibuat dengan komposisi 50 g serbuk gergaji dan 50 g tepung kanji. Papan partikel dibuat dengan rapat massa (ρ) = 0,62 x 103 kg.m-3. Koefisien absorbsi bunyi diukur dengan menggunakan sound level meter, intensitas bunyi yang diukur antara lain intensitas bunyi yang datang, intensitas yang dipantulkan dan intensitas yang ditransmisikan. Intensitas absorbsi didapat dengan mengurangkan intensitas awal ( ) dengan intensitas transmisi ( ) dan intensitas refleksi ( ). Data yang diperoleh dibuat grafik dan dianalisis. Diperoleh hasil bahwa papan partikel yang terbuat dari campuran serbuk gergajian kayu nyatoh dan tepung kanji dengan komposisi 1:1 (sampel 3) adalah papan partikel terbaik sebagai bahan absorbsi bunyi pada penelitian ini. Papan partikel mempunyai sifat fisis: koefisien absorbsi 0,15 cm-1, intensitas refleksi 1,5 dB, intensitas absorbsi 29,45 dB dan efisiensi absorbsi 29,42 %.

Calibration of Clinical Audio Recording and Analysis Systems for Sound Intensity Measurement

2015 ◽  
Vol 24 (4) ◽  
pp. 608-618 ◽  
Author(s):  
Youri Maryn ◽  
Andrzej Zarowski
Keyword(s):  
Real Life ◽  
Sound Intensity ◽  
Sound Level ◽  
Sound Level Meter ◽  
Acoustic Feature ◽  
Audio Recording ◽  
Intensity Measures ◽  
Calibration Methods ◽  
Level Meter ◽  
Specific Comparison

Purpose Sound intensity is an important acoustic feature of voice/speech signals. Yet recordings are performed with different microphone, amplifier, and computer configurations, and it is therefore crucial to calibrate sound intensity measures of clinical audio recording and analysis systems on the basis of output of a sound-level meter. This study was designed to evaluate feasibility, validity, and accuracy of calibration methods, including audiometric speech noise signals and human voice signals under typical speech conditions. Method Calibration consisted of 3 comparisons between data from 29 measurement microphone-and-computer systems and data from the sound-level meter: signal-specific comparison with audiometric speech noise at 5 levels, signal-specific comparison with natural voice at 3 levels, and cross-signal comparison with natural voice at 3 levels. Intensity measures from recording systems were then linearly converted into calibrated data on the basis of these comparisons, and validity and accuracy of calibrated sound intensity were investigated. Results Very strong correlations and quasisimilarity were found between calibrated data and sound-level meter data across calibration methods and recording systems. Conclusions Calibration of clinical sound intensity measures according to this method is feasible, valid, accurate, and representative for a heterogeneous set of microphones and data acquisition systems in real-life circumstances with distinct noise contexts.

scholarly journals Design of Sound Level Meter Using Sound Sensor Based on Arduino Uno

2018 ◽  
Vol 19 (2) ◽  
pp. 111
Author(s):  
Laura Anastasi Seseragi Lapono ◽  
Redi Kristian Pingak
Keyword(s):  
Noise Level ◽  
Sound Intensity ◽  
Sound Level ◽  
Design System ◽  
Sound Level Meter ◽  
Measurement Result ◽  
Measurement Results ◽  
Arduino Uno ◽  
Improved Performance ◽  
Level Meter

Sound Level Meter (SLM) is a tool used to measure the noise level for a moment. For improved performance, hence required a measure of noise level capable of displaying result automatically on the computer so that simplify user to observe and measure the noise. In this study, the design system of data acquisition consists of a MAX4466 sound sensor, Arduino UNO microcontroller, and computer to display the measurement result. The measurement results are displayed in the form of data and graphs. The display of software designed using the Delphi 7.0. The process of taking data in the room with a sound intensity of 44.6 dB. The value is the measurement result using the SLM tool, while the measurement results using the sound sensor performed every second during an interval of 30 seconds obtained an average of 44.19 dB. It can be seen that between the two results shows a relatively small difference, so it can be concluded that the design of this system is running well. Keywords: Noise, SLM, Sound sensor, Arduino Uno

Testing of Sonic-Absorbent Panels’ Behavior in Open-Air Environment

2012 ◽  
Author(s):  
Petru A. Pop ◽  
Patricia A. Ungur ◽  
Liviu Lazar ◽  
Mircea Gordan ◽  
Florin M. Marcu
Keyword(s):  
High Frequency ◽  
Noise Pollution ◽  
Sound Level ◽  
Sound Level Meter ◽  
Data Logger ◽  
Public Buildings ◽  
Gypsum Plaster ◽  
Level Meter ◽  
And Control

One wildly used method to reduce and control the noise pollution in green city’s buildings is using sonic-absorbent panels. Their applications can be multiple, such as the insulation of buildings, acoustic barriers and fences along the highway or in front of supermarkets, hospitals and other public buildings. This paper presents a method for testing the behavior of sonic-absorbent panels in open-air environment. The work represents a carrying on of previous research about absorbent materials from gypsum family, tested in lab conditions. The experiment setup used a dynamic installation and as a sample a stand formed by six sonic-absorbent panels from special modeling alpha-gypsum plaster. This installation has been composed of two loudspeakers for emitting the sound at a well-defined frequency by the first laptop, the microphone for detecting and transmitting the signal to the second laptop for analyzing and processing the data. All operations were performed using MATLAB Programs, while a Data Logger Sound Level Meter type CENTER 332 was put on near the microphone to compare both results. The first experiment of acoustic stand has been realized by setting up the installation at a frequency from 50 Hz to 1250 Hz and altering the distance between loudspeakers and stand at 0.5m to 1m and 1.5m, respectively. The second experiment kept the same test’s conditions, while two and three layers of sonic-absorbent panels formed the stand, respectively, but at same distance from source of 0.5 m. In both tests, the results underlined the good sonic-absorbent properties of these panels, especially at medium and high frequency, which can recommend using the panels for multiple outside applications.

Pemetaan Dan Perhitungan Pemaparan Tingkat Kebisingan Pada Industri Pengolahan Kayu Di Kecamatan Siak, Provinsi Riau

2021 ◽  
Vol 6 (2) ◽  
pp. 68-76
Author(s):  
Aryo Sasmita ◽  
Muhammad Reza ◽  
Rodesia Mustika Rozi
Keyword(s):  
Sound Level ◽  
Sound Level Meter ◽  
Noise Mapping ◽  
Level Meter

Dalam kegiatan operasionalnya CV. X yang bergerak pada pengolahan kayu, berpotensi menimbulkan kebisingan yang berasal dari mesin-mesin yang digunakan dalam proses produksi pallet. Kebisingan di perusahaan ini dapat berpengaruh terhadap kesehatan dan kenyamanan pekerja. Penelitian ini bertujuan untuk mengetahui intensitas kebisingan yang dihasilkan oleh mesin produksi, lama waktu pemaparan, pemetaan kebisingan dan upaya pengendalian kebisingan. Metode pengukuran kebisingan mengacu pada metode noise mapping dan alat yang digunakan adalah Sound Level Meter. Data yang diperoleh kemudian diolah menjadi peta kontur dengan variasi warna biru, hijau, kuning, ungu dan merah. Hasil penelitian menunjukkan tingkat kebisingan tertinggi sebesar 99,4 dB dan tingkat kebisingan terendah sebesar 67,3 dB. Berdasarkan hasil perhitungan menggunakan persamaan NIOSH dari 128 titik pengukuran metode noise mapping terdapat 38 titik dengan tingkat kebisingan >85 dB yang menunjukkan waktu pemaparan di atas standar yang sudah direkomendasikan NIOSH. Tingkat kebisingan tertinggi sebesar 99,4 dB dengan lama pemaparan selama 0,3 jam dan tingkat kebisingan terendah sebesar 67,3 dB dengan lama pemaparan selama 475 jam. Upaya pengendalian yang dapat dilakukan untuk mengurangi kebisingan seperti pengendalian dari sumber, jalur transmisi, dan penerima.

A Sound Level Meter featured with automatic estimation of the measurement uncertainty

Measurement ◽  
2021 ◽  
pp. 110409
Author(s):  
Marco Carratù ◽  
Consolatina Liguori ◽  
Vincenzo Paciello ◽  
Antonio Pietrosanto ◽  
Domenico Russo ◽  
...  
Keyword(s):  
Measurement Uncertainty ◽  
Sound Level ◽  
Sound Level Meter ◽  
Automatic Estimation ◽  
Level Meter

scholarly journals ANALISIS TINGKAT KEBISINGAN LINGKUNGAN DI KELURAHAN PAHANDUT KECAMATAN PAHANDUT KOTA PALANGKA RAYA KALIMANTAN TENGAH

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Muh Azhari ◽  
Rudy Yoga Lesmana
Keyword(s):  
Noise Level ◽  
Qualitative Method ◽  
Air Transportation ◽  
Sound Level ◽  
Sound Level Meter ◽  
Google Maps ◽  
Average Value ◽  
The Third ◽  
Level Ii ◽  
Level Meter

Permasalahan lingkungan dari usaha kegiatan manusia untuk memenuhi kebutuhan hidup, seperti sandang, pangan, papan dan transportasi harus dilakukan penanganan dengan baik. Misalnya seperti pengaruh kegiatan transportasi udara terhadap kondisi kualitas lingkungan setempat  seperti kegiatan di Bandara Cilik Riwut Kelurahan Pahandut, Kecamatan Pahandut, Kota Palangka Raya Kalimantan Tengah. Metode penelitian yang digunakan merupakan metode kualitatif dengan analisis data instrumen seperti Sound Level Meter Instrument, Anemometer, GPS, Flight Radar, Google Maps Application & WECPNL Instrument (Weighted Equivalent Continuous Perceived Noise Level)  dan pengambilan data dilakukan selama tiga hari sesuai dengan kedatangan dan keberangkatan pesawat. Hasil penelitian dengan analisis WECPNL menunjukkan bahwa tingkat kebisingan di hari ke 2 lebih besar dibandingkan hari ke 3 dan hari ke 3 lebih besar dari hari ke 1 (87,2  > 82,2 > 75,9) dengan nilai rata-rata WECPNL sebesar 81,7. Kebisingan di bandara Cilik Riwut di Kota Palangka Raya Kalimantan Tengah termasuk kebisingan regional tingkat II dan III. Kegiatan yang dapat dilakukan untuk meminimalisir Risiko kebisingan tersebut yaitu dengan melakukan kegiatan rekayasa keteknikan dan menanam vegetasi yang berfungsi mengurangi kebisingan Kata kunci: Bandara, Kebisingan, Lingkungan. The environmental problems of the efforts of human activities to meet the needs of life, such as clothing, food, housing and transportation must be handled properly. For example, such as the influence of air transportation activities on local environmental quality conditions such as activities at Cilik Riwut Airport, Pahandut Village, Pahandut District, Palangka Raya City, Central of Kalimantan. The research method used is a qualitative method with data analysis instruments such as Sound Level Meter Instrument, Anemometer, GPS, Flight Radar, Google Maps Application and WECPNL Instrument (Weighted Equivalent Continuous Percepived Noise) and data collection is carried out for three days in accordance with the arrival and departure of the aircraft. Results of research with  WECPNL analysis show that the noise level on the second day is greater than the third day and the third day is greater than the first day (87,2  > 82,2 > 75,9) with  score average value is 81,7. Noise at Cilik Riwut airport in Palangka Raya City, Central Kalimantan including regional level II and III noise. activities that can be carried out are carrying out engineering activities and planting vegetation which have the function of reducing noise. Keyword: Airport, Environmental, Noice.

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