Penerapan Metode Forecast Exponential Smoothing pada Jumlah Pasien Puskesmas

Dwi Aprilia

= http://dx.doi.org/10.20473/jbk.v5i2.2016.146-156
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Abstract


Exponential smoothing was forecast method with reducing fl uctuations of forecast results used data from the past. Increasing the number of patients had to was accompanied by facilities and tools supporting adequate services. The research purposed to predict the number of patient the health center Mulyorejo. The results showed that number of patient the health center Mulyorejo fl uctuating every month. Results of forecast in 2016 increasing total patients there in April in the amount 3367 of patients. This also happened on general clinic with a number of patients amount 2643 of pastient. Increasing patient on poli gigi and poli KIA were on October and November amount 322 and 529 patients. MAPE value was produced the forecast total patient was 8,742, general clinic was 6,069, teeth poly was 12,579, and KIA poly was 23,139. Fluctuations in the number of patient visits the health center Mulyorejo more infl uenced by the number of patient visits in general clinic. Suggestions are expected for policy makers should be related planning tools, medicine, and health personnel needed in which the predicted number of visits will be increased in each poli in Puskesmas Mulyorejo.

Keywords


exponensial smoothing, forecasting, patient, public health center

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References


Biri, R., Langi, Y.A.R., Paendong, M.S. 2013. Penggunaan Metode Exponensial Smoothing dalam Meramal Pergerakan Infl asi Kota Palu. Jurnal Ilmiah Sains. Vol. 13.

Farihul, M.L., Anggraeni, W., Aulia, V.R. 2012. Prediksi Jumlah Kunjungan Pasien Rawat Jalan Menggunakan Metode Genetic Fuzzy Systems: Studi Kasus Rumah Sakit Usada Sidoarjo. Jurnal Teknik ITS. Vol. 1.

Fuad., Wahyuni. 2014. Prediksi Kunjungan Pasien Baru Perbangsal Rawat Inap Tahun 2015 dengan Metode ARIMA di BLUD RSU Banjar. Jurnal Manajemen Informasi Kesehatan Indonesia. Vol. 3.

Gaspersz. 2005. Production Planning and Inventory Control, Gramedia Pustaka Utama: Jakarta.

Hartono, dkk. 2012. Perbandingan Metode Single Exponensial Smoothing dan Metode Exponensial Smoothing Adjusted for Trend (Holt’s Method) untuk Meramalkan Penjualan (Studi Kasus: Toko Onderdil Mobil “Prodi Purwodadi”). Jurnal Eksis. Vol. 5.

Kristyanto, W.A. 2012. Prediksi Periode Serangan Demam Berdarah Dengue (DBD) Berdasarkan Dasarian Awal Bulan Hujan Menggunakan Metode Exponential Smoothing. Salatiga. Program Studi Teknik Informatika FTIUKSW.

Raharja, dkk. 2010. Penerapan Metode Exponensial Smoothing untuk Forecast Penggunaan Waktu Telepon di PT. Telkomsel Divre3 Surabaya. Jurnal Sistem Informasi.

Sahli, M., 2013. Penerapan Metode Exponensial Smoothing dalam Sistem Informasi Pengendalian Persediaan Bahan Baku (Studi Kasus Toko Tirta Harum). Jurnal Simetris. Vol. 3.

Sudian, T. 2010. Hubungan Pelayanan Pasien Terhadap Mutu Pelayanan Kesehatan RS Cut Mutia Kabupaten Aceh Utara. Jurnal Kesehatan Masyarakat.

Tannady, H., Andrew, F. 2013. Analisis Perbandingan Metode Regresi Linier dan Exponensial Smoothing dalam Parameter Tingkat Error. Jurnal Teknik dan Ilmu Komputer. Vol. ...…

Wardhani, A.R., Pereira, S.M. 2010. Studi Analisis Forecast. Forecast dengan Metode Deret Berkala. Widya Teknika. Vol. 18.

Yuniastari, K., Wirawan, IGP. 2014. “Permintaan Produk Perak Menggunakan Metode Moving Average dan Exponensial Smoothing”. Jurnal Sistem Informatika.


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