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All Journal Jurnal Ilmiah Mahasiswa Pendidikan Biologi REKADATA (Rekayasa Data dan Kecerdasan Artifisial)
Luthfi Azmi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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Population Density and Habitat Shingle Urchin Preferences (Colobocentrotus atratus) On The Rieting Beach Leupung District Of Aceh Luthfi Azmi; M Ali Sarong; Samsul Kamal
Jurnal Ilmiah Mahasiswa Pendidikan Biologi Vol 2, No 1 (2017): Pebruari 2017
Publisher : Jurnal Ilmiah Mahasiswa Pendidikan Biologi

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Abstract

The Information about the presence and density data of Shingle urchin Colobocentrotus atratus in Rieting Beach, Leupung is minimal, so it is necessary to conduct research that aims to determine the population density and habitat preferences of Shingle urchin C. atratus in Rieting Beach, Leupung, Aceh Besar. This study use a quantitative approach (measure with instruments and calculating using the formula) with descriptive research. The data of Population density obtained by survey methods, with using purposive sampling technique. The results were obtained C. atratus population density in Rieting Beach Leupung, Aceh Besar amounted to 2 ind/m2. while the population density in each of the station is the first station to has the density of population is 1 ind/m2. The second station has population density of 3 ind/m2Habitat conditions attached to the substrate C. atratus rocks with the state of heavy waves at a depth of less than 1 meter with a temperature range 26-29°C, 28-32‰ salinity, water pH 6.5-7.6. The conclusions of this study population densities C. atratus in Rieting Beach, Leupung,  Aceh Besar, are 2 ind/m2. C. atratus habitat preferences atratus in Rieting  Beach is the topography of rock cliffs with 1.5 meters in height with a temperature of 28°C, salinity values 30‰ and pH value 7.Keywords: Density population, Habitat preferences, Colobocentrotus atratus
PENGARUH PERSEPSI KEMUDAHAN DAN PERSEPSI MANFAAT TERHADAP MINAT PENGGUNAAN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA MAHASISWA UNIVERSITAS MULIA Luthfi Azmi; Prayoga, Prana Yudhistira; Riski Zulkarnain; Nasruddin Bin Idris
REKADATA Vol. 1 No. 2 (2026): Rekayasa Data dan Kecerdasan Artifisial (REKADATA)
Publisher : CV Mazaya Cahaya Utama

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The digital transformation toward the Smart Campus concept demands high academic data integrity, which relies heavily on user interaction with the system. This study adopts a data-driven analysis approach to evaluate user adoption patterns of the web-based Academic Information System (AIS) at Universitas Mulia. Utilizing the Technology Acceptance Model (TAM) as a predictive framework, this research aims to identify determinant variables influencing user interaction data flow. Data were collected from 31 active users and analyzed using multiple linear regression modeling. The model evaluation results indicate that perceived ease of use and perceived usefulness simultaneously provide high predictive accuracy for behavioral intention, with a coefficient of determination (R2) of 81.6%. These findings confirm that TAM variables are valid parameters for system requirement engineering. Implicatively, this study recommends integrating Artificial Intelligence features for service personalization and optimizing data architecture to support adaptive user experiences, thereby ensuring the sustainability of the academic data lifecycle.
Co-Authors Ali Sarong Anak Agung Gede Sugianthara Nasruddin Bin Idris Prayoga, Prana Yudhistira Riski Zulkarnain