{"id":"W3135417175","doi":"10.51544/jurnalmi.v5i1.1190","title":"Penerapan Fuzzy Mamdani Dengan Particle Swarm Optimization (PSO) dan MAPE (Mean Absolute Percentage Error) Pada Penilaian Kinerja Pegawai","year":2020,"lang":"id","type":"article","venue":"JURNAL MAHAJANA INFORMASI","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":"Humanities; Mathematics; Art","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":[0.0009430543,0.001227562,0.001368259,0.0009782941,0.0007807457,0.002103058,0.000942704,0.001376381,0.004419769],"category_scores_gemma":[0.001812268,0.0003952101,0.001261018,0.0010048,0.0005083343,0.001369727,0.0006966296,0.001260137,0.001253537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007820965,"about_ca_system_score_gemma":0.001398881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027815,"about_ca_topic_score_gemma":0.008710092,"domain_scores_codex":[0.999419,0.0001053111,0.0000469831,0.0001545999,0.0002049696,0.00006925697],"domain_scores_gemma":[0.9993863,0.0002203567,0.00007390392,0.00003994886,0.0002500419,0.00002943673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005421294,0.0002354769,0.00494818,0.001351162,0.0003292179,0.0005720019,0.0003975222,0.3791447,0.03173504,0.01217049,0.01148436,0.5570897],"study_design_scores_gemma":[0.00005824534,0.0003143004,0.00435807,0.0001325474,0.0001507357,0.0003114622,0.0002625473,0.9539551,0.01421825,0.006393846,0.01975538,0.00008953564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06045659,0.005674593,0.8987965,0.001336547,0.0007091996,0.0002362212,0.0004536162,0.001930823,0.03040596],"genre_scores_gemma":[0.6535125,0.005206654,0.2991904,0.0005155782,0.0002220445,0.000405699,0.0007809135,0.0002015649,0.03996463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027815,"threshold_uncertainty_score":0.02043664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568928399654267,"score_gpt":0.2595295183230668,"score_spread":0.2338402343265241,"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."}}