PERAMALAN JUMLAH KLAIM DENGAN MEMBANDINGKAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN DAN DOUBLE EXPONENTIAL SMOOTHING DARI HOLT

Penulis

  • Nayla Desviona Institut Teknologi dan Bisnis Muhammadiyah Purbalingga
  • Trima Asriyati Institut Teknologi dan Bisnis Muhammadiyah Purbalingga
  • Ditayatul Rahayu Institut Teknologi dan Bisnis Muhammadiyah Purbalingga
  • Bangkit Prima Yudha Institut Teknologi dan Bisnis Muhammadiyah Purbalingga

Abstrak

Time series model is that model uses to prediction the future with the past data, one of example of time series is exponential smoothing. Exponential smoothing  is repair procedure where’s it done continuely at forecasting by new data. In this research Exponential Smoothing metode applied to forecasting amount of claim in Health BPJS at jambi with use the data since january 2018 until Juli 2021,the steps  use to get output of research there are 4 steps,these are  1) Data Identification, 2) Modeling, 3) Forecasting, 4) Evaluation of Forecasting Result with MAE(Mean Absolute Error) and MSE (Mean Square Error). Brown’s model for PNS class 1:  PNS class 2 :  NON PNS class 1 : , NON PNS class 2 : . Holt’s model for PNS class 1:   ,.PNS class 2 :  NON PNS class 1 :  and  NON PNS class 2 : . Both of two metodes have similar good performance. but Holt’s metode has error value (MAE) more little then Brown’s metode. this thing is so important for looked considering its importance a forecasting for he best increase quality and contribution by Health BPJS at Jambi staff for future.

Time series model is that model uses to prediction the future with the past data, one of example of time series is exponential smoothing. Exponential smoothing  is repair procedure where’s it done continuely at forecasting by new data. In this research Exponential Smoothing metode applied to forecasting amount of claim in Health BPJS at jambi with use the data since january 2018 until Juli 2021,the steps  use to get output of research there are 4 steps,these are  1) Data Identification, 2) Modeling, 3) Forecasting, 4) Evaluation of Forecasting Result with MAE(Mean Absolute Error) and MSE (Mean Square Error). Brown’s model for PNS class 1:  PNS class 2 :  NON PNS class 1 : , NON PNS class 2 : . Holt’s model for PNS class 1:   ,.PNS class 2 :  NON PNS class 1 :  and  NON PNS class 2 : . Both of two metodes have similar good performance. but Holt’s metode has error value (MAE) more little then Brown’s metode. this thing is so important for looked considering its importance a forecasting for he best increase quality and contribution by Health BPJS at Jambi staff for future.

Referensi

BPJS Kesehatan. Buku Panduan Layanan Bagi Peserta BPJS Kesehatan. -Badan Penyelenggara Jaminan Sosial. Jakarta.

Faisol dkk. (2016). Penerapan Metode Exponential Smoothing untuk Peramalan Jumlah Klaim di BPJS Kesehatan Pamenkeas. Jurnal Matematika Vol. 01. No.01. FMIPA Matematika. Universitas Madura.

Makridakis, S., Wheelwright, S.C., & McGee, V.E. (1999). Metode dan Aplikasi Peramalan Jilid 1 ( Ir. Untung Sus Ardiyanto, M.Sc. & Ir. Abdul Basith, M.Sc. Terjemahan). Edisi Kedua. Jakarta: Penerbit Erlangga..

Sudrimo. S. (2016). Peramalan Data Deret Berkala Menggunakan Metode Pemulusan Eksponential Tripel. Skripsi FMIPA Matematika. Universitas Lampung.

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18-10-2021

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