Important Announcement: Journal status update, Garuda indexation, and the separation of OJS systems.
Ratna Wardani
Dosen Program Studi Ilmu Kesehatan Masyarakat STIKes Surya Mitra Husada Kediri
Keywords: Time series , Visits , ARIM
ABSTRACT
Increase in human populations and the state of the economy more advanced, impact public awareness of increasing health.This provides a result to increase in the number of visitors in hospital.The purpose of this research is to analyze increasing trend the number of patient visits in terms of marketing mix done Hospital HVA Toeloengredjo. This research using design descriptive with research analysis using time series with a moving average model arima.Observational research method, with the subject is officer medical record and marketing officer, as well as its object was data on the number of patient visits new and old patient.Testing model results got that model ARIMA( 1,1,0 ) is a model that could be used to perform a forecast or estimate.A prediction visitors keeps increasing, where a prediction the number of visits all patients on the moon 60th(december 2016) is 10746 visits, a prediction the number of visits new patients is 1660 visits, a prediction the number of patient visits long been 9290 visits.
REFERENCES
[1] Alfiati, Y. 2008. Faktor-Faktor Yang Mempengaruhi Pemanfaatan Pelayanan Poli Obgyn Di RSUD Banjarnegara. Jurnal Kesmas UAD.
[2] Anggraeni, W. 2012. Prediksi Jumlah Kunjungan Pasien Rawat Jalan Menggunakan Metode Genetics Fuzzy Systems Studi Kasus RumahSakit Usada Sidoarjo. Jurnal Teknik ITS.
[3] Florentina. 2008. Pemanfaatan Pelayanan Instalasi Rawat Jalan Di Rumah Sakit Umum Indrasari Rengat Dan Puskesmas Pekan Heran Kabupaten Indragiri Hulu. Program Pascasarjana Universitas Gajah Mada.
[4] Hendrik. 2010. Etika & Hukum Kesehatan.Jakarta: EGC.
[5] Herlambang, S. 2012. Manajemen Kesehatan Dan Rumah Sakit.Yogyakarta: Gosyen Publishing.
[6] Triyono, Joko. 2011. Pemasaran Pelayanan Kesehatan.(http://id.shvoong.com/social-sciences/economics/1805317-pemasaran-pelayanan-kesehatan). Diakses tanggal 17 Oktober 2015.
[7] Kemenkes. 2013. Profil Kesehatan Indonesia. Kementrian Kesehatan RI.
[8] Kuswanti, N. D. 2012. Pengaruh Bauran Pemasaran Terhadap Keputusan Pasien Berobat Di Rumah Sakit.FE USU.
[9] Prasko. 2013. Pengertian Hak Dan Kewajiban Pasien. (prasko17.blogspot.com) Diakses tanggal 17 Oktober 2015.
[10] Raykuti, F. 2012. Riset Pemasaran.Jakarta: Gramedia Pustaka Utama.
[11] R.I, Kemenkes. 2013. Profil Kesehatan Indonesia. Kementrian Kesehatan RI.
[12] Sabran. 2014. Evaluasi Bauran Pemasaran Di Rumah Sakit Universitas Hasanudin.
[13] Santosa, D. P. 2005. Analisis Statistik Dengan Microsoft Excel & SPSS.Semarang: ANDI.
[14] Sugiyono. 2013. Metode Penelitian 15.Manajemen. Bandung: Alfabeta.
[16] Sukardi. 2005. Metode Penelitian Pendidikan.Yogyakarta: Bumi Aksara.Jurnal IKESMA Volume 13Nomor 1 Maret 201757
[17] Supriyanto. 2005. Manajemen Pemasaran Jasa Pelayanan Kesehatan.Surabaya: FKM UNAIR.
[18] Tjiptono, Fandy. 2008. Strategi Pemasaran. Edisi ke 3. Yogyakarta: Andi
[19] Yulianto. 2012. Analisa Time Series. (https:digensia.wordpress.com) Diakses tanggal 19 Oktober 2015.
[20] Yuningsih, R. 2009. HubunganBauran Pemasaran. FKM UI.[21]Yamin,Sofyan. 2009. Teknik Analisis Statistik Terlengkap dengan Software SPSS. Salemba Infotek