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Daftar Kosakata Data dan Analitik (Inggris - Indonesia)

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Statistik Dasar

  1. Mean = /miːn/ = Rata-rata
  2. Median = /ˈmiː.di.ən/ = Median
  3. Mode = /moʊd/ = Modus
  4. Variance = /ˈvɛəriəns/ = Varians
  5. Standard Deviation = /ˈstændərd dɪˈviː.eɪʃən/ = Simpangan baku
  6. Population = /ˌpɒpjʊˈleɪʃən/ = Populasi
  7. Sample = /ˈsæmpəl/ = Sampel
  8. Distribution = /ˌdɪstrɪˈbjuːʃən/ = Distribusi probabilitas
  9. Outlier = /ˈaʊt.laɪər/ = Pencilan
  10. Range = /reɪndʒ/ = Rentang

Analisis Data

  1. Data Mining = /ˈdeɪ.tə ˌmaɪ.nɪŋ/ = Penambangan data
  2. Data Cleaning = /ˈdeɪ.tə ˌkliː.nɪŋ/ = Pembersihan data
  3. Data Transformation = /ˈdeɪ.tə ˌtræns.fərˈmeɪʃən/ = Transformasi data
  4. Feature Extraction = /ˈfiː.tʃər ɪkˈstræk.ʃən/ = Ekstraksi fitur
  5. Dimensionality Reduction = /daɪˌmɛnʃəˈnælɪti rɪˈdʌk.ʃən/ = Pengurangan dimensi
  6. Correlation = /ˌkɒr.əˈleɪ.ʃən/ = Korelasi
  7. Regression = /rɪˈɡrɛʃən/ = Regresi
  8. Classification = /ˌklæs.ɪ.fɪˈkeɪ.ʃən/ = Klasifikasi
  9. Clustering = /ˈklʌstərɪŋ/ = Pengelompokan
  10. Normalization = /ˌnɔːr.mə.lɪˈzeɪ.ʃən/ = Normalisasi

Pembelajaran Mesin

  1. Supervised Learning = /ˈsuː.pər.vaɪzd ˈlɜrnɪŋ/ = Pembelajaran terawasi
  2. Unsupervised Learning = /ʌnˈsuː.pər.vaɪzd ˈlɜrnɪŋ/ = Pembelajaran tanpa pengawasan
  3. Reinforcement Learning = /ˌriːɪnˈfɔːrs.mənt ˈlɜrnɪŋ/ = Pembelajaran penguatan
  4. Neural Network = /ˈnʊr.əl ˈnɛt.wɜrk/ = Jaringan saraf tiruan
  5. Deep Learning = /diːp ˈlɜrnɪŋ/ = Pembelajaran mendalam
  6. Decision Tree = /dɪˈsɪʒən triː/ = Pohon keputusan
  7. Support Vector Machine = /səˈpɔːrt ˈvɛktər məˈʃiːn/ = Mesin vektor pendukung
  8. K-Nearest Neighbors = /keɪ ˈnɪərɪst ˈneɪbərz/ = K-tetangga terdekat
  9. Random Forest = /ˈrændəm ˈfɒrɪst/ = Hutan acak
  10. Gradient Boosting = /ˈɡreɪ.di.ənt ˈbuːstɪŋ/ = Penguatan gradien

Visualisasi Data

  1. Histogram = /ˈhɪstəˌɡræm/ = Histogram
  2. Bar Chart = /bɑːr tʃɑːrt/ = Diagram batang
  3. Pie Chart = /paɪ tʃɑːrt/ = Diagram lingkaran
  4. Scatter Plot = /ˈskætər plɒt/ = Diagram pencar
  5. Box Plot = /bɒks plɒt/ = Diagram kotak
  6. Heatmap = /ˈhiːt.mæp/ = Peta panas
  7. Line Chart = /laɪn tʃɑːrt/ = Diagram garis
  8. Area Chart = /ˈɛriə tʃɑːrt/ = Diagram area
  9. Tree Map = /triː mæp/ = Peta pohon
  10. Bubble Chart = /ˈbʌb.əl tʃɑːrt/ = Diagram gelembung

Analitik Prediktif

  1. Forecasting = /ˈfɔːrkæstɪŋ/ = Peramalan
  2. Predictive Model = /prɪˈdɪktɪv ˈmɒdəl/ = Model prediktif
  3. Time Series = /taɪm ˈsɪəriːz/ = Deret waktu
  4. Trend Analysis = /trɛnd əˈnælɪsɪs/ = Analisis tren
  5. Seasonality = /ˌsiː.zəˈnæl.ɪ.ti/ = Musiman
  6. ARIMA = /əˈriː.mə/ = ARIMA
  7. Exponential Smoothing = /ˌɛk.spoʊˈnɛn.ʃəl ˈsmuː.ðɪŋ/ = Penghalusan eksponensial
  8. Machine Learning Model = /məˈʃiːn ˈlɜrnɪŋ ˈmɒdəl/ = Model pembelajaran mesin
  9. Regression Analysis = /rɪˈɡrɛʃən əˈnælɪsɪs/ = Analisis regresi
  10. Scenario Planning = /sɪˈnɛərioʊ ˈplænɪŋ/ = Perencanaan skenario

Analitik Deskriptif

  1. Descriptive Statistics = /dɪˈskrɪptɪv stəˈtɪstɪks/ = Statistik deskriptif
  2. Summary = /ˈsʌməri/ = Ringkasan
  3. Frequency Distribution = /ˈfriː.kwən.si ˌdɪstrɪˈbjuːʃən/ = Distribusi frekuensi
  4. Central Tendency = /ˈsɛntrəl ˈtɛndənsi/ = Kecenderungan pusat
  5. Dispersion = /dɪˈspɜːʃən/ = Dispersi
  6. Percentile = /pərˈsɛntaɪl/ = Persentil
  7. Quartile = /ˈkwɔːr.taɪl/ = Kuartil
  8. Histogram Analysis = /ˈhɪstəˌɡræm əˈnælɪsɪs/ = Analisis histogram
  9. Cross Tabulation = /krɒs ˌtæbjʊˈleɪʃən/ = Tabulasi silang
  10. Pivot Table = /ˈpɪvət ˌteɪbəl/ = Tabel pivot

Big Data

  1. Volume = /ˈvɒl.juːm/ = Volume data
  2. Velocity = /vəˈlɒsɪti/ = Kecepatan data
  3. Variety = /vəˈraɪəti/ = Keragaman data
  4. Veracity = /vəˈræsɪti/ = Kebenaran data
  5. Value = /ˈvæljuː/ = Nilai
  6. Hadoop = /həˈduːp/ = Apache Hadoop
  7. Spark = /spɑːrk/ = Apache Spark
  8. MapReduce = /ˈmæp.rɪˌduːs/ = MapReduce
  9. Data Lake = /ˈdeɪ.tə leɪk/ = Danau data
  10. NoSQL = /ˌnoʊˈɛs.kjuːˈɛl/ = NoSQL

Analitik Diagnostik

  1. Root Cause Analysis = /ruːt kɔːz əˈnælɪsɪs/ = Analisis akar masalah
  2. Drill Down = /drɪl daʊn/ = Penelusuran mendalam
  3. Data Profiling = /ˈdeɪ.tə ˈproʊ.faɪ.lɪŋ/ = Pemprofilan data
  4. Anomaly Detection = /əˈnɒm.ə.li dɪˈtɛkʃən/ = Deteksi anomali
  5. Hypothesis Testing = /haɪˈpɒθəsɪs ˈtɛstɪŋ/ = Uji hipotesis
  6. Drill Through = /drɪl θruː/ = Penelusuran lintas
  7. Data Auditing = /ˈdeɪ.tə ˈɔː.dɪtɪŋ/ = Audit data
  8. Gap Analysis = /ɡæp əˈnælɪsɪs/ = Analisis kesenjangan
  9. Comparative Analysis = /kəmˈpærətɪv əˈnælɪsɪs/ = Analisis komparatif
  10. Pattern Recognition = /ˈpætərn ˌrɛkəɡˈnɪʃən/ = Pengenalan pola

Analitik Preskriptif

  1. Optimization = /ˌɒptɪmaɪˈzeɪʃən/ = Optimisasi
  2. Simulation = /ˌsɪmjʊˈleɪʃən/ = Simulasi
  3. Decision Optimization = /dɪˈsɪʒən ˌɒptɪmaɪˈzeɪʃən/ = Optimisasi keputusan
  4. Linear Programming = /ˈlɪniər ˈproʊɡræmɪŋ/ = Pemrograman linier
  5. Integer Programming = /ˈɪntɪdʒər ˈproʊɡræmɪŋ/ = Pemrograman bilangan bulat
  6. Constraint = /kənˈstreɪnt/ = Kendala
  7. Goal Seeking = /ɡoʊl ˈsiː.kɪŋ/ = Pencarian tujuan
  8. Resource Allocation = /ˈriː.sɔːrs ˌæloʊˈkeɪʃən/ = Alokasi sumber daya
  9. Scenario Analysis = /sɪˈnɛərioʊ əˈnælɪsɪs/ = Analisis skenario
  10. Trade-off Analysis = /treɪd ɒf əˈnælɪsɪs/ = Analisis kompromi

Etika Data

  1. Data Privacy = /ˈdeɪ.tə ˈpraɪvəsi/ = Privasi data
  2. Data Security = /ˈdeɪ.tə sɪˈkjʊrɪti/ = Keamanan data
  3. Data Governance = /ˈdeɪ.tə ˈɡʌvərnəns/ = Tata kelola data
  4. Compliance = /kəmˈplaɪəns/ = Kepatuhan
  5. Confidentiality = /ˌkɒn.fɪˌden.ʃiˈæl.ɪ.ti/ = Kerahasiaan
  6. Anonymization = /əˌnɒnɪmaɪˈzeɪʃən/ = Anonimisasi
  7. Consent = /kənˈsent/ = Persetujuan
  8. Ethical AI = /ˈɛθɪkəl eɪ.aɪ/ = Kecerdasan buatan etis
  9. Bias Mitigation = /ˈbaɪəs ˌmɪtɪˈɡeɪʃən/ = Mitigasi bias
  10. Transparency = /trænˈspærənsi/ = Transparansi
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