BIOACOUSTIC SOUND STRIDULATORY MOVEMENT OF GUPPY FISH (Poecilia reticulata) AT SALINE WATER

Lubis, Muhammad Zainuddin; Wulandari, Pratiwi; Pujiyati, Sri

doi:10.24319/jtpk.6.119-127

Cited by 4 publications

(5 citation statements)

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“…Dengan diketahuinya spektrum suara gulamah memungkinkan pengembangan alat pengumpul gulamah (FAD) berbasis suara. Gagasan ini didasakan bahwa ikan-ikan mengeluarkan suara sebagai interaksi komunitas, reaksi terhadap lawan jenis dan sebagainya (Lubis et al 2015). Gagasan ini juga di perkuat dari beberapa kajian diantaranya , menguji rumpon elektronik dengan atraktor berupa cahaya (LED, 5 Watt) dan suara (10-1000 Hz, 1-20 kHz dan 20-100 kHz) berhasil mengumpulkan ratarata 4,60 kg untuk waktu pemasangan satu jam, dan rata-rata 4,07 kg untuk lama waktu pemasangan setengah jam.…”

Section: Nelayanunclassified

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Spektrum Suara Gulamah Sebagai Kajian Awal Pembuatan Rumpon: Kasus Di Perairan Tuban, Jawa Timur

Yulianto

Jauhari

Wiadnya

et al. 2019

JTPK

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One of the leading commodities in the North Coast of East Java which has a large production is gulamah (Sciaenidae). This fish is one of the marine fisheries commodities that have high potential. Previously the use of gulamah was limited to fresh fish and dried fish. Lately these organs in fish (swimming bladders) have also been widely used and actually have much higher economic value. The high economic value of these commodities has implications for the increasing pressure on exploitation of these fish. In fact, sometimes arrests are made without regard to responsible fishing rules. Gulamah is one type of fish that often makes a "croak" sound in its behavioral activities. Study of the schooling sound spectrum of gulamah (Sciaenidae) as a preliminary study for the manufacture of effective and environmentally friendly Sound-Fish Aggreagating Device as one of the food security instruments for marine fisheries products. So it is expected that with the introduction of new technologies that are efficient, effective, simple and can provide economic added value for fishermen. Analytical descriptive research method and experimental fishing, the data collected is the sound spectrum data schooling gulamah (Sciaenidae), where data collection is carried out at Tombokboyo Waters, Tuban, East Java. The results showed that gulamah in Tombokboyo waters issued a sound with an average amplitude of around -54,97 dB, an average frequency of 732,129 Hz, with a sound duration of 130 miliseconds. ABSTRAKSalah satu komoditas unggulan di Pantai Utara Jawa Timur yang memiliki produksi cukup besar adalah ikan gulamah (Sciaenidae). Ikan ini merupakan salah satu komoditas perikanan laut yang mempunyai potensi tinggi. Sebelumnya pemanfaatan ikan gulamah hanya sebatas dalam bentuk ikan segar dan ikan asing/kering. Belakangan ini organ dalam ikan ini (gelembung renang) juga banyak dimanfaatkan dan justru mempunyai nilai ekonomis jauh lebih tinggi. Tingginya nilai ekonomis pada komoditas ini berimplikasi meningkatnya tekanan eksploitasi terhadap ikan ini semakin meningkat. Bahkan terkadang upaya penangkapan yang dilakukan tanpa memperhatikan kaidah-kaidah penangkapan yang bertanggungjawab. Gulamah merupakan salah satu jenis ikan yang sering mengeluarkan suara "croak" dalam aktivitas tingkah lakunya. Kajian tentang spektrum suara schooling ikan gulamah/tigawaja sebagai kajian awal pembuatan alat pendeteksi dan pengumpul ikan berbasis suara yang efektif dan ramah lingkungan sebagai salah satu instrumen ketahanan pangan produk perikanan laut. Sehingga diharapkan dengan adanya introduksi teknologi baru yang efisien, efektif, murah, sederhana dan dapat memberikan nilai tambah ekonomi bagi nelayan. Metode penelitian deskriptif analitik dan experimental fishing, data yang dikumpulkan adalah data spektrum suara schooling ikan gulamah (Sciaenidae), dimana pengambilan data dilakukan di Perairan Tombokboyo, Tuban, Jawa Timur. Hasil penelitian menunjukkan bahwa ikan gulamah di Perairan Tombokboyo mengeluarkan suara dengan rata-rata amplitude berkisar -54,97...

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Section: Nelayanunclassified

“…Menurut Kottelat et al (1993), suara-suara ini keluar secara alami dan khususnya pada musim berkembang biak. Hal ini juga selaras dengan pendapat Lugli et al (2003); Lubis et al (2015) mengenai ikan Padogobius martensii yang mengeluarkan suara saat berinteraksi dengan lawan jenis yang dihasilkan oleh gelembung renang.…”

Section: Hasil Dan Pembahasanunclassified

Spektrum Suara Gulamah Sebagai Kajian Awal Pembuatan Rumpon: Kasus Di Perairan Tuban, Jawa Timur

Yulianto

Jauhari

Wiadnya

et al. 2019

JTPK

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“…Examples of spectrograms of whistle that there are noise or noise in it [7] can be seen in Figure 1, and click sound of dolphins can be seen in (Figure 2). Previous research by looking at whistling sound vocalizations of dolphins and a clicking sound is [8][9][10] bioacoustic research about stidulatory ever done with object Guppy fish [11][12][13][14]. The vocalisation characteristics described above have been found to vary among populations, possibly due to habitat differences, ambient noise, sympatry with other dolphin species, etc.…”

Section: Fisheries and Oceanography Open Access Journalmentioning

confidence: 99%

Indo-Pacific Bottlenose Dolphins (Tursiops aduncus) Whistle Sound by Denoising Spectra with Discrete Wavelet Transform (DWT)

Lubis¹

2017

OFOAJ

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Bottlenose dolphins (Tursiops aduncus) use whistles to communicate with their conspecifics and maintain group cohesion. We recorded 8 whistles of Indo-Pacific bottlenose dolphins (Tursiops aduncus) in the Safari Park, Cisarua Bogor, Indonesia between 10 th -15 th May 2015. Dicrete Wavelet Transform (DWT) using Haar wavelet method for analysis whistle sound of Indo-Pasific Bottle Nose Dolphins.Discrete Wavelet Transform (DWT) Showed difference between the treatment before and after meal at whistle sound. DWT in Wavelet have Haar wavelet method produced highest value of Power Spectral Density Level (PSDL) is 61 dB re 1μPa 2 / Hz, and lowest value is -80 dB re 1μPa 2 / Hz. Interval whistle have a equation y= -8.6x+ 97 , R 2 = 0.3658 (36%) in show pool, before meal treatment. While in show pool, after meal treatment have y= x+55.5, R 2 = 0.0758 (8%).Before meal treatment in ANOVA have Y = 22.5045 + 0.000097 X, and have percentage of R 2 value is 1 %, percentage of Significance F value is 63%. ANOVA in Equation of whistle sound after meal have Y = 24.2824 + -0.0000434 X have percentage of significance F value is 81%.

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“…In the passive acoustic method usually with namely is bioacoustic, and this method described in researching (Wulandari, 2016;Lubis, 206;Lubis 2014;Lubis et al, 2016b). In the active acoustic with the hydroacoustic method are increasingly being used in all kinds of aquatic ecosystems in order to acquire detailed information about aquatic life, and stock estimation about fish (Simmonds and Maclennan, 2005).…”

Section: Introductionmentioning

confidence: 99%

Fish stock estimation in Sikka Regency Waters, Indonesia using Single Beam Echosounder (CruzPro fish finder PcFF-80) with hydroacoustic survey method

Lubis¹,

Anurogo²

2016

Aceh J. Anim. Sci.

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Sikka regency waters including fishery management with a high utilization status so that the necessary stages of an intensive monitoring and research potential of fish resources. This study aimed to obtain the estimated value of stock biomass and density of fish resources with the acoustic method. Quantitative data obtained will be a source of current information on the state of fish resources in the Sikka regency waters, Indonesia. The research was conducted in May 2015. Acoustic data retrieval, using instruments CruzPro fish finder PcFF-80 with sound velocity of 1516 m / s, power 2560 Watt, and method in survey acoustic use hydroacoustic long transect. The horizontal distribution shows a fluctuation striking at research location has the highest salinity levels in the range of 29.3-29.8 psu. Total biomass of fish in this study showed more the number is at a depth of 11-20 m that is 2,008 tons/km and at a depth of 1-10 m have the total fish biomass is 12.33 tons/km, single detection is done using a single target hydroacoustic show more dominance at a depth of 11-20 m in Sikka regency waters, MTB, Indonesia in May 2015. Number of data from results obtained by looking at the relationship between the number of the data with the total biomass in 1-10 m depth has equation Y = 0.0967x + 0.0486 with R2 is 0.0464 (4%) , while at a depth of 11-20 m has a regression equation is Y = 0.0003x + 0041 with the R 2 is 0.0091 (0.9%). Variations in the data or the detection of single targets have variations over the data that is at a depth of 11-20 m with the lowest regression is 0.9%.

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BIOACOUSTIC SOUND STRIDULATORY MOVEMENT OF GUPPY FISH (Poecilia reticulata) AT SALINE WATER

Cited by 4 publications

References 1 publication

Spektrum Suara Gulamah Sebagai Kajian Awal Pembuatan Rumpon: Kasus Di Perairan Tuban, Jawa Timur

Spektrum Suara Gulamah Sebagai Kajian Awal Pembuatan Rumpon: Kasus Di Perairan Tuban, Jawa Timur

Indo-Pacific Bottlenose Dolphins (Tursiops aduncus) Whistle Sound by Denoising Spectra with Discrete Wavelet Transform (DWT)

Fish stock estimation in Sikka Regency Waters, Indonesia using Single Beam Echosounder (CruzPro fish finder PcFF-80) with hydroacoustic survey method

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