{"id":"W4384347863","doi":"10.59697/jsik.v6i2.162","title":"PENERAPAN DATA MINING PENGELOMPOKAN JAMINAN HARI TUA (JHT) BERDASARKAN WILAYAH DALAM MASA PANDEMI (STUDI KASUS : BPJS KETENAGAKERJAAN CABANG LANGKAT)","year":2022,"lang":"en","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","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":"Cluster analysis; Cluster (spacecraft); Service (business); Process (computing); Computer science; Business; Data mining; Computer security; Artificial intelligence; Marketing","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002200182,0.000600601,0.0006622248,0.0004119686,0.002474134,0.0009006963,0.005173846,0.0001467307,0.00006732087],"category_scores_gemma":[0.0002046818,0.0005898107,0.000221817,0.001292999,0.0001336288,0.002129088,0.006077525,0.001337584,0.00009340121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003348041,"about_ca_system_score_gemma":0.0004884015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002083993,"about_ca_topic_score_gemma":0.0001377937,"domain_scores_codex":[0.9947997,0.0002872416,0.001167943,0.001228398,0.001348122,0.001168624],"domain_scores_gemma":[0.9949861,0.0003620501,0.000810318,0.003202548,0.0001599958,0.0004790261],"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":[0.0001955948,0.001166922,0.08707067,0.0004062983,0.0009836812,0.0007154706,0.02857486,0.009081992,0.001521853,0.04462492,0.1207812,0.7048765],"study_design_scores_gemma":[0.001337775,0.0003637023,0.03153975,0.00007501023,0.00009521704,0.001003835,0.002125647,0.08920483,0.00006705775,0.000043594,0.8732039,0.0009397101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7349758,0.002307483,0.04708851,0.01753956,0.005315355,0.002960731,0.001068981,0.004337471,0.1844061],"genre_scores_gemma":[0.9759081,0.00005656831,0.01215817,0.001218028,0.0004844253,0.0002418467,0.001843715,0.00008471658,0.008004433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7524226,"threshold_uncertainty_score":0.9996553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627094670691457,"score_gpt":0.268303613621552,"score_spread":0.2320326669146374,"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."}}