{"id":"W4388833133","doi":"10.61805/fahma.v20i1.41","title":"ANALISIS KEPUASAN MAHASISWA TERHADAP SISTEM PEMBELAJARAN ONLINE PADA MASA PANDEMIC COVID 19 DI STMIK AKAKOM DENGAN METODE NAIVE BAYES","year":2023,"lang":"en","type":"article","venue":"Jurnal Informatika Komputer Bisnis dan Manajemen","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Likert scale; Coronavirus disease 2019 (COVID-19); Online learning; Pandemic; Distance education; Virtual learning environment; Computer science; Scale (ratio); Mathematics education; Psychology; World Wide Web; Statistics; Mathematics; Medicine; Infectious disease (medical specialty); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00333983,0.0004759934,0.0005788959,0.001439665,0.0007570848,0.002196753,0.0004939036,0.0005948917,0.008240461],"category_scores_gemma":[0.01378192,0.0001980501,0.0006126799,0.001880256,0.0004095546,0.00191067,0.0005270414,0.000951706,0.001421531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512704,"about_ca_system_score_gemma":0.0006797299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006447393,"about_ca_topic_score_gemma":0.004549715,"domain_scores_codex":[0.9975278,0.001087663,0.0002141381,0.0003550645,0.0006268243,0.0001885271],"domain_scores_gemma":[0.9816988,0.015471,0.0006676721,0.0003185372,0.001593731,0.0002503296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002281303,0.001352752,0.4695615,0.001671387,0.0007273337,0.001383152,0.01017476,0.01067111,0.002467297,0.004969652,0.01938672,0.4753531],"study_design_scores_gemma":[0.0001548094,0.002583074,0.6211395,0.001362795,0.001220072,0.003073558,0.06097715,0.2504301,0.006571739,0.01229416,0.03991159,0.0002815305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648662,0.002268754,0.01111262,0.001585066,0.0002337414,0.0002073553,0.001392588,0.0002338179,0.01809998],"genre_scores_gemma":[0.9883289,0.0006690439,0.005372287,0.000153146,0.00004902063,0.00008947746,0.001106969,0.00002888485,0.004202207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008240461,"threshold_uncertainty_score":0.02756709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657577305497127,"score_gpt":0.3433168587134864,"score_spread":0.2775591281637737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}