{"id":"W4387786091","doi":"10.46880/methoda.vol13no2.pp189-194","title":"PENERAPAN ALGORITMA C4.5 DALAM MENGUKUR TINGKAT KEPUASAN NASABAH PADA PT BANK MUAMALAT INDONESIA KCU MEDAN BARU BERBASIS WEB","year":2023,"lang":"en","type":"article","venue":"Majalah Ilmiah METHODA","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business; Sharia; Service (business); Product (mathematics); Service quality; Quality (philosophy); Customer satisfaction; Database; Business administration; Marketing; Computer science; Islam; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003660127,0.0006041473,0.0006905236,0.0006090016,0.0008825228,0.0006020942,0.002806328,0.000275896,0.000105614],"category_scores_gemma":[0.0005751244,0.0005925329,0.0002757192,0.002977234,0.0001410563,0.0007222053,0.001398411,0.0009032584,0.0009766088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073068,"about_ca_system_score_gemma":0.0002635103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608463,"about_ca_topic_score_gemma":0.00006156268,"domain_scores_codex":[0.9944455,0.001094553,0.0007873731,0.001568063,0.0009195321,0.001184999],"domain_scores_gemma":[0.9952454,0.001237654,0.0003611786,0.002492299,0.0001758489,0.0004876426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000159747,0.0001916426,0.01348825,0.00009136841,0.0001959325,0.0001141596,0.003760763,0.0009542609,0.01522694,0.0181071,0.03385065,0.914003],"study_design_scores_gemma":[0.002580321,0.0003705145,0.074152,0.000182833,0.0001875996,0.0002157634,0.0007553119,0.3243347,0.01205825,0.003899864,0.5788311,0.002431762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5679799,0.0005582287,0.3767573,0.01655293,0.003576792,0.001590107,0.0002070897,0.007977878,0.02479979],"genre_scores_gemma":[0.5071337,0.0001228896,0.480789,0.000842618,0.0006364777,0.0004566144,0.00041222,0.0001542142,0.009452284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9115712,"threshold_uncertainty_score":0.9998012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276948109373371,"score_gpt":0.3107616878791741,"score_spread":0.283066876941837,"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."}}