Perbandingan Metode Weighted Moving Average dan Single Exponential Smoothing Angka Partisipasi Sekolah Wilayah Adat, Papua
DOI:
https://doi.org/10.31851/sainmatika.v18i2.6617Keywords:
APS, WMA, SES, MAPE, Papuan customary territoryAbstract
School Participation Rate (SPR), which is one of the indicators of successful education, includes the development or improvement of educational services in regions of Indonesia. Regarding the extent of each customary territory of Papua Province, there are very significant differences in SPR in the last 10 years, especially in 2010-2019. Some districts have experienced a drastic decline in their SPR in the last 4 years and some have fluctuating data. This study aims to compare the Weighted Moving Average (WMA) and Single Exponential Smoothing (SES) methods on SPR data at the elementary, junior high, senior high schools and equivalent levels in five customary territory of Papua Province. This study uses data on the percentage of SPR in 2010-2019 taken from the Central Statistics Agency (BPS) of Papua Province. Based on the results of Mean Absolute Percentage Error (MAPE), SES method is better than WMA. It means that the SES method is a suitable method for forecasting fluctuating SPR data. Thus, SES can be a reference method for the government for forecasting SPR in the coming year. If researchers use more data and more complex variables, it will require additional applications such as Matlab and POM QM.References
Ardiana, D. P. Y., & Loekito, L. H. (2018). SISTEM INFORMASI PERAMALAN PERSEDIAAN BARANG MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE. Jurnal Teknologi Informasi Dan Komputer. https://doi.org/10.36002/jutik.v4i1.397
Arnita, A. (2020). Comparison of Single Exponential Smoothing, Naive Model, and SARIMA Methods for Forecasting Rainfall in Medan. Jurnal Matematika, Statistika Dan Komputasi. https://doi.org/10.20956/jmsk.v17i1.10236
Asynari, E., Wahyudi, D., & Aeni, Q. (2020). Analisis Peramalan Permintaan Pada Geprek Bensu Menggunakan Meode Time Series. Teknologi Dan Sistem Informasi.
Eris, P. N., Nohe, D. A., & Wahyuningsih, S. (2014). Peramalan Dengan Metode Smoothing dan Verifikasi Metode Peramalan Dengan Grafik Pengendali Moving Range (MR) (Studi Kasus: Produksi Air Bersih di PDAM Tirta Kencana Samarinda). Jurnal EKSPONENSIAL, 5(1), 203–210.
Heizer, J., Render, B., & Munson, C. (2017). Operations Management: Sustainability & Supply Chain Management 12th edition. In Corporate finance.
Hudaningsih, N., Firda Utami, S., & Abdul Jabbar, W. A. (2020). PERBANDINGAN PERAMALAN PENJUALAN PRODUK AKNIL PT.SUNTHI SEPURIMENGGUANAKAN METODE SINGLE MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTING. Jurnal Informatika, Teknologi Dan Sains. https://doi.org/10.51401/jinteks.v2i1.554
Karini, P. (2018). Pengaruh Tingkat Kemiskinan Terhadap Angka Partisipasi Sekolah Usia 16-18 Tahun di Provinsi Kepulauan Bangka Belitung. Al-Ishlah: Jurnal Pendidikan.
Nurhanifa, N., & Pujiastuti, H. (2020). Prediksi Angka Partisipasi Sekolah (APS) di Provinsi Banten dengan Menggunakan Interpolasi Lagrange. Sainmatika: Jurnal Ilmiah Matematika Dan Ilmu Pengetahuan Alam. https://doi.org/10.31851/sainmatika.v17i1.3822
Rachman, R. (2018). Penerapan Metode Moving Average Dan Exponential Smoothing Pada Peramalan Produksi Industri Garment. Jurnal Informatika. https://doi.org/10.31311/ji.v5i2.3309
Rahmatin, U. Z., & Soejoto, P. D. . A. (2017). Pengaruh Tingkat Kemiskinan Dan Jumlah Sekolah Terhadap Angka Partisipasi Sekolah (Aps) Di Kota Surabaya. Jurnal Pendidikan Ekonomi.
Rais, A. N., Rousyati, R., Thira, I. J., Kholifah, D. N., Purwati, N., Kristania, Y. M., & Kristania, Y. M. (2020). Evaluasi Metode Forecasting pada Data Kunjungan Wisatawan Mancanegara ke Indonesia. EVOLUSI : Jurnal Sains Dan Manajemen. https://doi.org/10.31294/evolusi.v8i2.8971
Seymour, L., Brockwell, P. J., & Davis, R. A. (1997). Introduction to Time Series and Forecasting. Journal of the American Statistical Association. https://doi.org/10.2307/2965440
Wahyuni, N. N. S., Candiasa, I. M., & Juniantari, M. (2020). Prediksi Angka Partisipasi Sekolah Menurut Kelompok Umur Di Provinsi Bali Menggunakan Single Moving Average. Maju, 7(2), 101.
Yolanda, S. (2019). Transformasi Berkelanjutan Berbasis Sumber Daya Lokal: Sebuah Refleksi Penelitian Aksi Partisipatif terhadap Perempuan di Akar Rumput, Papua dan Papua Barat. Jurnal Inada: Kajian Perempuan Indonesia Di Daerah Tertinggal, Terdepan, Dan Terluar. https://doi.org/10.33541/ji.v1i2.899
Yudiarti, & Wira, W. (2019). Perbandingan Metode Peramalan Penjualan Semen Menggunakan Moving Average Dan Single Exponential Smoothing. Jurnal Ilmiah Matematika.
Papua.bps.go.id,2019.https://papua.bps.go.id/indicator/28/140/1/angka-partisipasi-sekolah-aps-.html [Accessed 10 Juni 2021].
detik.com.https://www.detik.com/edu/sekolah/d-5644851/riset-angka-partisipasi-sekolah-di-ri-dari-paud-sampai-kuliah-turun [Accessed 10 September 2021].