Tri Prartono

Dr. Tri Prartono


Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Marine Pollution Bulletin
Verified
Journal Article
Closed access
APAnna Ida Sunaryo Purwiyanto
Anna Ida Sunaryo Purwiyanto
TPTri Prartono
Tri Prartono
EREtty Riani
Etty Riani
YNYuli Naulita
Yuli Naulita
MCMuhammad Reza Cordova
Muhammad Reza Cordova
AKAlan Frendy Koropitan
Alan Frendy Koropitan

1 October 2016 in Marine Pollution Bulletin
Verified
Journal Article
Closed access
NANajamuddin
Najamuddin
TPTri Prartono
Tri Prartono
HSHarpasis S. Sanusi
Harpasis S. Sanusi
I Wayan NurjayaI Wayan Nurjaya
I Wayan Nurjaya

1 March 1994 in Marine Chemistry
Verified
Journal Article
Closed access
CBConstant M.G van Den Berg
Constant M.G van Den Berg
MBMarc Boussemart
Marc Boussemart
KYKunihiko Yokoi
Kunihiko Yokoi
TPTri Prartono
Tri Prartono
MCM.Lucia A.M Campos
M.Lucia A.M Campos


6 May 2019 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Angga DwinovantyoAngga Dwinovantyo
Angga Dwinovantyo
HMHenry M. Manik
Henry M. Manik
TPTri Prartono
Tri Prartono
SSSusilohadi Susilohadi
Susilohadi Susilohadi
TOHRU MUKAITOHRU MUKAI
TOHRU MUKAI
Zooplankton can be detected by using acoustic Doppler current profiler (ADCP) instruments through acquiring the mean volume backscattering strength (MVBS) data. However, the precision of the backscattered signal measured by single ADCP measurement has a limitation in the MVBS variation of zooplankton. The objectives of this study were to analyze the MVBS and vertical velocity from ADCPs at the same time and location for zooplankton’s daily vertical migration (DVM) observation. Measurements were conducted in Lembeh Strait, North Sulawesi, Indonesia. Instruments used included a moored ADCP 750 kHz and a mobile ADCP 307.2 kHz. High MVBS value was found at 11.5–16 m depths and was identified as the sound scattering layer (SSL). The DVM patterns in the SSL displayed significant differences over time and had good relationships with the diurnal cycle. Theoretical target strength (TS) from the scattering models based on a distorted-wave Born approximation (DWBA) was estimated for Oithona sp. and Paracalanus sp.; the two dominant species found in the observed area. However, ΔMVBS and ΔTS proved that the dominant zooplankton species were not the main scatterers. The strong signal in SSL was instead caused by the schools of various zooplankton species.

11 May 2022 in International Journal of Agronomy
Verified
Journal Article
Open access
PDF file
RDRidwan Diaguna
Ridwan Diaguna
Edi SantosaEdi Santosa
Edi Santosa
AHArief Hartono
Arief Hartono
GPGatot Pramuhadi
Gatot Pramuhadi
NNNunung Nuryartono
Nunung Nuryartono
TPTri Prartono
Tri Prartono
Indonesia has a large cassava diversity, but the tolerant cultivars on drought areas have not been well recorded. Candidate mapping can begin with morphological and physiological characterization. This study aimed to map cassava’s genetic diversity, determining the key phenotype to distinguish genotypes, physiological adaptation, and high-yield candidates under environmental stress. A total of 29 genotypes were clustered into 5 groups. A specific group for genotype from same site was not found. The differences and relations among genotypes were very clear, demonstrating cassava’s genetic diversity in Indonesia. The key group characteristics are upward petiole orientation (G1), nine lobes (G2), prominent foliar scars (G3), winding lobe (G4), and elliptic-lanceolate (G5). A total of 19 genotypes had a number of storage root >10 storage roots, 20 genotypes had a weight of storage root >2 kg/plant, and 3 genotypes had >4 kg/plant. Morphological and physiological trait determination is relevant to contribute to high-yield cassava breeding in dry areas. The morphological characteristics of well-adapted plants were plant height, lobe characteristics, and petiole orientation, while the physiological traits were chlorophyll index, transpiration rate, and photosynthesis rate.