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          DAFTAR PUSTAKA

          Arga, W. (1985). Analisa runtun waktu teori dan aplikasi. Yogyakarta: BPFE

          Chen, S. M. (1996). Forecasting enrollments based on fuzzy time series  -
             fuzzy  sets  and  systems.  International  Journal  of  Applied  Science  and
             Engineering, 81, 311-319.
          Fauziah N., Wahyuningsih S., & Nasution Y. (2016). Peramalan menggunakan
             fuzzy time series chen (studi kasus: curah hujan di Samarinda). Jurnal
             Statistika, 4 (2), 52 – 61.
          Rachim  F.,  Tarno  T.,  &  Sugito  S.  (2019).  Perbandingan  fuzzy  time  series
             dengan metode Chen dan metode S. R. Singh (studi kasus: nilai impor di
             Jawa Tengah periode Januari 2014 – Desember 2019). Jurnal Gaussian,
             9(3), 306-315.
          Karmita S., Bramanto A., Gaffar, A. F., & Wiguna A, (2018). Prediksi jumlah
             mahasiswa  baru  menggunakan  fuzzy  time  series  –  time  invariant,
             Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, Vol 3, no 1,
             Maret 2018, 208 – 214.

          Lewis C. D. (1982). Industrial and business forecasting methods: a practical
             guide to exponential smoothing and curve fitting. London: Butterworth
             Scientific.
          Muhammad. (2016). Sebaran dan peramalan mahasiswa baru pendidikan
             matematika Universitas Muhammadiyah Purwokerto dengan metode
             time invariant fuzzy time series. Matematika Jurnal, 3 (2), 48 – 58.
          Rachmawati  M.,  &  Anifah  L.  (2019).  Prediksi  curah  hujan  menggunakan
             metode  averaged  based  dan  high  order  fuzzy  time  series  di  Bandar
             Udara Juanda. JIEET: 3 (1), 11 - 15 .

          Song & Chissom (1994). Forecasting enrollment with fuzzy time series – part
             II. Fuzzy Set and System, 62, 1-8.

          Xihao  S.,  &  Yimin  L.  (2008).  Average  based  fuzzy  time  series  models  for
             forecasting shanghai compound index. Word Journal of Modelling and
             Simuation, 4, 104 – 111.
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