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  1. 201

    Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

    Published 2020-05-01
    “…Tests on 2601 student academic records with the attributes ipk_sem1, ipk_sem2, ipk_sem3, ipk_sem4, occupation_ortu, graduated, average_ipk, income_ayah, for the graduation classification of students resulted in an accuracy value of 86.54% a value of 93.37% and a recall value of 89.27% and a test of 89.27% and a test of graduation prediction of the number of study program enthusiasts obtained an accuracy value of 78.25% and MAPE of 21.75%. …”
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  2. 202

    Measuring the condition of Tehran Metropolitan based on Ubiquitous city indicators by Haniyeh Asadzadeh, Afshar Hatami, Farzaneh Sasanpour

    Published 2022-12-01
    “…<link href="moz-extension://e82f9c05-bf9c-4e25-87b0-684d37ab5915/skin/s3gt_tooltip_mini.css" rel="stylesheet" type="text/css" > #s3gt_translate_tooltip_mini { display: none !…”
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    Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin,... by Alemu Eshetu Fentaw, Assefa Abegaz

    Published 2024-01-01
    “…Besides, auxiliary data were utilized to improve the classification of LULC classes. LULC was classified using the Random Forest (RF) classification algorithm in the Google Earth Engine (GEE). …”
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    Analysis of Land Use Changes In the period 2018-2005 in Nazloo District of Urmia City by Sahar Mehrran, Ali Akbar Taghilou, Khadijeh Javan

    Published 2023-09-01
    “…The survey showed that during the study period (2005-2018) of the total area of ​​77498.37 hectares, the total area under study was approximately 25981.56 ha (33.52%). …”
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