{"id":"W4384347902","doi":"10.59697/jsik.v6i2.167","title":"PENERAPAN DATA MINING PENGELOMPOKAN DATA PENGGUNA AIR BERSIH BERDASARKAN KELUHANNYA MENGGUNAKAN METODE CLUSTERING PADA PDAM LANGKAT","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster (spacecraft); Cluster analysis; Humanities; Computer science; Art; Operating system; Artificial intelligence","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":[0.002125717,0.001309496,0.001556841,0.002872751,0.001403659,0.004913112,0.001475214,0.001232532,0.007833636],"category_scores_gemma":[0.004511943,0.00076881,0.001532639,0.004571587,0.0005902548,0.003652433,0.001691537,0.001735356,0.007024426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054475,"about_ca_system_score_gemma":0.002241689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005179236,"about_ca_topic_score_gemma":0.006753196,"domain_scores_codex":[0.9978251,0.0004094673,0.0002315194,0.000706706,0.0006863771,0.0001409299],"domain_scores_gemma":[0.9970185,0.001163288,0.000148967,0.000465801,0.001065,0.000138524],"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":[0.0005197031,0.0002989486,0.008537421,0.001440979,0.0002850727,0.0004850106,0.001129141,0.01548961,0.02782162,0.009459716,0.02418101,0.9103518],"study_design_scores_gemma":[0.0001739648,0.0006991455,0.02918269,0.0009077921,0.000501291,0.002607202,0.004957124,0.3310831,0.1175553,0.05844293,0.4534786,0.0004107462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06172421,0.009256583,0.872134,0.003874861,0.000726162,0.0007851376,0.007500139,0.01256011,0.03143876],"genre_scores_gemma":[0.2167841,0.009046081,0.71749,0.0007450916,0.0003667783,0.0008359696,0.01089129,0.001138338,0.04270229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007833636,"threshold_uncertainty_score":0.02620608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625656695631132,"score_gpt":0.3009743017603898,"score_spread":0.2384086321972765,"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."}}