Showing 1 - 10 results of 10 for search '"sample random sampling"', query time: 0.10s Refine Results
  1. 1

    PARTISIPASI PETANI DALAM KEGIATAN KELOMPOK TANI (STUDI PADA KELOMPOK TANI TAMBAK IKAN AIR TAWAR “MITRA TANI” DESA PETIR, KECAMATAN DRAMAGA, KABUPATEN BOGOR) by M. Zulkarnain Yuliarso

    Published 2005-03-01
    “…Data from 30 samples were selected using sample random sampling. Rank spearman analysis was used to identify factors influencing farmer’s participation. …”
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    Article
  2. 2

    PENGEMBANGAN SISTEM INFORMASI AKADEMIK TERPADU (SIKADU) BERBASIS PERILAKU PENGGUNA DOSEN UNTUK MENINGKATKAN KINERJA AKADEMIK UNNES by Asrori Asrori

    Published 2016-01-01
    “…The sample of this study was 90 UNNES lecturers as the SIKADU user selected by sample random sampling (SRS). The data was collected by questionnaire method, and then analyzed by multiple linier regressions. …”
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    Article
  3. 3

    The Implementation of The Time Token Arends Learning Model on Student Learning Activeness in Fiqh Subjects by Radhiatul Hasnah, Iilpi Zukdi, Adriantoni Adriantoni, Sry Utami

    Published 2024-12-01
    “…The study used sample random sampling as a technique to take the experiment class and control class. …”
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    Article
  4. 4

    Improving Social Studies Learning Outcomes Through Group Investigation Learning Model Assisted with Audio-Visual Media by Ni Luh Ardhia Octaviyantari, Ni Ketut Suarni, I Wayan Widiana

    Published 2020-08-01
    “…Taking samples for research used a sample random sampling technique. The sample of this research were 35 students for an experimental class and 35 students for a control class. …”
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    Article
  5. 5

    HUBUNGAN PENINGKATAN BERAT BADAN TRIMESTER III TERHADAP BERAT BADAN PASCA SALIN < 6 BULAN by Muhammad Fajar Shodiq, M. Besari Adi Pramono

    Published 2019-02-01
    “…Sampel penelitian diambil dengan cara sample random sampling dari wilayah puskesmas dikotamadya Semarang yang mengikuti penelitian 1000 HPK. …”
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    Article
  6. 6

    Production Elasticity of Layer Farming During the COVID-19 Pandemic in Blitar District by Gunawan Adi Santoso, Budi Hartono, Umi Wisaptiningsih Suwandi

    Published 2024-04-01
    “…Data collection took place between July and August 2020 in the Blitar Distrcit. Utilizing a sample random sampling method. The study involved 64 farmers as representative. …”
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    Article
  7. 7

    The Effects of Active Teaching and Learning Methods on The Pupils' Academic Performance in Four Selected Primary Schools in Bugamba Sub-County in Rwampara District. by Ampurire, Motion

    Published 2023
    “…The research used a sample size of 80 respondents using sample random sampling techniques in collecting and analyzing data and was used to provide equal chances to the sample size. …”
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    Thesis
  8. 8

    Investigation of Geogrid Aperture Size Effects on Subbasesubgrade Stabilization of Asphalt Pavements by Tuba Sert, Muhammet Vefa Akpınar

    Published 2012-06-01
    “…For this purpose, a series of laboratory large scale pullout tests was carried out with three different aperture size geogrid samples randomly sampled from a single manufacturer. It was found that geogrids are unique in their pullout performance within pavement subbase layer structure based on their aperture sizes. …”
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    Article
  9. 9

    Air Pollution and Agricultural Economic Resilience in China: The Moderating Role of Environmental Regulation by Xinwen Ye, Jie Zhou, Yujie Zhang, Dungang Zang

    Published 2025-06-01
    “…This conclusion holds after considering the endogeneity problem and a series of robustness tests, such as the exclusion of samples, random sampling, and quantile regression. Second, different dimensions of agricultural economic resilience, intensity levels, and economic growth phases influence how much air pollution reduces agricultural economic resilience. …”
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    Article
  10. 10

    Universal Knowledge Graph Embedding Framework Based on High-Quality Negative Sampling and Weighting by Pengfei Zhang, Huang Peng, Yang Fang, Zongqiang Yang, Yanli Hu, Zhen Tan, Weidong Xiao

    Published 2024-11-01
    “…The traditional model training approach based on negative sampling randomly samples a portion of negative samples for training, which can easily overlook important negative samples and adversely affect the training of knowledge graph embedding models. …”
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    Article