{"id":"W4384347896","doi":"10.59697/jsik.v6i2.166","title":"PENERAPAN DATA MINING PENGELOMPOKAN PESERTA BPJS KETENAGAKERJAAN BERDASARKAN PROGRAM YANG DIAMBIL MENGGUNAKAN METODE CLUSTERING","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":"Social security; Cluster analysis; Competence (human resources); Computer science; Process (computing); Wage; Business; Data collection; Minimum wage; Artificial intelligence; Management; Economics; Statistics; 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","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002293076,0.0005438376,0.000573183,0.0004365424,0.002372702,0.0012838,0.00655715,0.0001101707,0.00007270826],"category_scores_gemma":[0.0001689411,0.000540132,0.0002139354,0.001361586,0.00009873393,0.002993592,0.007473832,0.001153386,0.00005516718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506649,"about_ca_system_score_gemma":0.0003402468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001717885,"about_ca_topic_score_gemma":0.000120876,"domain_scores_codex":[0.9949775,0.0003099171,0.001123472,0.001170362,0.001282515,0.001136289],"domain_scores_gemma":[0.9951323,0.0002818762,0.0007140437,0.003238613,0.0001360218,0.0004971813],"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":[0.00005855781,0.0005114307,0.003741247,0.0001419642,0.0002696809,0.00008145612,0.006870468,0.006886014,0.000491988,0.005416387,0.009157442,0.9663734],"study_design_scores_gemma":[0.0008133294,0.000392186,0.004355305,0.00005203381,0.00005564796,0.0004426476,0.001142002,0.3624258,0.00006821351,0.00003558361,0.6295404,0.0006767684],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104492,0.002239243,0.2031731,0.02719325,0.007333159,0.007148707,0.0009182406,0.0110127,0.2305323],"genre_scores_gemma":[0.8931926,0.00003648895,0.09814523,0.001157532,0.0004834654,0.0006688109,0.001620427,0.00009754093,0.004597849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9656966,"threshold_uncertainty_score":0.9997529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912985820783694,"score_gpt":0.2996038636729942,"score_spread":0.2604740054651573,"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."}}