Comparison between Double and Triple Exponential Smoothing Methods for Forecasting Poverty Rate of Yahukimo Regency in 2025-2030
Felix Reba, Program Studi Matematika, Fakultas MIPA, Universitas Cenderawasih, Indonesia
Yosefina Sarena, Program Studi Matematika, Fakultas MIPA, Universitas Cenderawasih, Indonesia
Abstract
Currently, the government faces so many issues, one of which is poverty. However, it is not a new thing since many other countries also face this classic issue. Poverty, from an economic point of view, is measured by the people's inability to meet basic needs for food, not food in terms of expenditure. Based on data released by the Central Statistics Agency (BPS) regarding poverty rates in Indonesia, several areas are included in the highest poverty rates including East Nusa Tenggara, Maluku, Gorontalo and Papua. The poverty rates for this region are 21.21%, 17.99%, and 15.99%, respectively. In this regard, Papua has the highest poverty rate of the three provinces. According to BPS, the three poorest districts in Papua Province in 2017 included Deiyai Regency at 43.63%, Intan Jaya Regency at 42.23% and Yahukimo Regency at 39.33%. This study aimed to predict the poverty rate of Yahukimo district in 2025-2030. This research employed Double and Triple Exponential Smoothing methods. It used secondary data, namely data related to the poverty rate in Yahukimo Regency in percent (%) in 2003-2019. The results showed that the poverty rate data in 2025-2030 were 36.48%, 36.09%, 35.7%, 35.31%, 34.92% and 34.53% respectively. In other words, the poverty rate in Yahukimo Regency had decreased compared to previous years.
Keywords
Full Text:
PDFReferences
R. D. Indrawati, Sudati Nur Sarfiah, “ANALISIS PENGARUH PERTUMBUHAN EKONOMI, KETIMPANGAN DISTRIBUSI PENDAPATAN, DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT KEMISKINAN PROVINSI PAPUA TAHUN 2014-2019,” jom.untidar.ac.id, 2019.
J. Suprijati, S. R. Damayanti, and D. Irawan, “Desentralisasi Fiskal dan Kemiskinan di Provinsi Papua,” Syntax Lit. ; J. Ilm. Indones., 2022, doi: 10.36418/syntax-literate.v7i1.6013.
BPS, “Provinsi Papua Dalam Angka 2018,” Badan Pus. Stat. Provinsi Papua, 2018.
Y. Sunyap, H. Hamka, and S. Bahri, “IMPLEMENTASI KEBIJAKAN PENANGGULANGAN KEMISKINAN DI KECAMATAN BONMELA KABUPATEN YAHUKIMO,” J. Paradig. Adm. Negara, 2021, doi: 10.35965/jpan.v2i2.396.
Hasta Budiratna and Riatu M. Qibthiyyah, “Evaluasi Atas Transfer Dana Otonomi Khusus Di Aceh, Papua, Dan Papua Barat,” J. Indones. Sos. Sains, 2020, doi: 10.36418/jiss.v1i5.103.
P. J.Brockwell and R. A.Davis, Introduction to Time Series and Forecasting in Statistics. 2016.
F. Lazzeri, “Introduction to Neural Networks for Time Series Forecasting,” in Machine Learning for Time Series Forecasting with Python®, 2020. doi: 10.1002/9781119682394.ch5.
M. M. Kilgo, “Introduction to Time Series and Forecasting,” J. Qual. Technol., 1998, doi: 10.1080/00224065.1998.11979860.
J. Brownlee, “Introduction to Time series forecasting,” Mach. Learn. mastery, 2013.
“Introduction to time series analysis and forecasting,” Choice Rev. Online, 2008, doi: 10.5860/choice.46-0946.
T. L. Utlaut, “Introduction to Time Series Analysis and Forecasting,” J. Qual. Technol., 2008, doi: 10.1080/00224065.2008.11917751.
P. D. P. Silitonga, H. Himawan, and R. Damanik, “Forecasting acceptance of new students using double exponential smoothing method,” Journal of Critical Reviews. 2020. doi: 10.31838/jcr.07.01.57.
F. Liantoni and A. Agusti, “Forecasting bitcoin using double exponential smoothing method based on mean absolute percentage error,” Int. J. Informatics Vis., 2020, doi: 10.30630/joiv.4.2.335.
T. Salsabila and K. Kariyam, “PERBANDINGAN TRIPLE EXPONENTIAL SMOOTHING DAN DECOMPOSITION + DOUBLE EXPONENTIAL SMOOTHING PADA PERAMALAN PENYEBARAN INFORMASI HOAX,” Pros. SENDIKA, 2020.
A. S. Ahmar, F. Fitmayanti, and R. Ruliana, “Modeling of inflation cases in South Sulawesi Province using single exponential smoothing and double exponential smoothing methods,” Qual. Quant., 2022, doi: 10.1007/s11135-021-01132-8.
M. H. Elison, R. Asrianto, and Aryanto, “PREDIKSI PENJUALAN PAPAN BUNGA MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING,” J. Ris. Sist. Inf. dan Teknol. Inf., 2020, doi: 10.52005/jursistekni.v2i3.60.
U. I. Anjani, C. Suhery, and U. Ristian, “PREDIKSI PERMINTAAN PRODUK KOPI BUBUK MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BERBASIS WEBSITE,” J. Komput. dan Apl., 2020.
H. D. P. Habsari, I. Purnamasari, and D. Yuniarti, “FORECASTING USES DOUBLE EXPONENTIAL SMOOTHING METHOD AND FORECASTING VERIFICATION USES TRACKING SIGNAL CONTROL CHART (CASE STUDY: IHK DATA OF EAST KALIMANTAN PROVINCE),” BAREKENG J. Ilmu Mat. dan Terap., 2020, doi: 10.30598/barekengvol14iss1pp013-022.
Noeryanti, E. Oktafiani, and F. Andriyani, “Aplikasi Pemulusan Eksponensial Dari Brown Dan Dari Holt Untuk Data Yang Memuat Trend,” 2012.
S. Sari and D. Jannati, “ANALISIS PERANCANGAN KEBUTUHAN KOPI BEST SELLER UNTUK MEMENUHI PERMINTAAN DI CAFE KOPI TITIK DENGAN MENGGUNAKAN METODE PERAMALAN,” Bina Tek., 2021, doi: 10.54378/bt.v17i1.2729.
U. Rahmat and P. D. Wahyuni, “PERAMALAN RESPON PENDENGAR DI RADIO MELALUI PESAN SINGKAT (SMS) DENGAN MENGGUNAKAN METODE PEMULUSAN EKSPONENSIAL GANDA (Studi Kasus : Radio Cakti Budhi Bhakti (CBB) 105,4 FM),” STATMAT J. Stat. DAN Mat., 2019, doi: 10.32493/sm.v1i2.2968.
Y. Farida, D. A. Sulistiani, and N. Ulinnuha, “PERAMALAN INDEKS PEMBANGUNAN MANUSIA (IPM) KABUPATEN BOJONEGORO MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING BROWN,” Teorema Teor. dan Ris. Mat., 2021, doi: 10.25157/teorema.v6i2.5521.
A. Aden and Anggela Supriyanti, “PREDIKSI JUMLAH CALON PESERTA DIDIK BARU MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN,” LEBESGUE, 2020, doi: 10.46306/lb.v1i1.14.
W. A. Cahyono and S. A. K. Dewi, “Sistem Informasi Analisa Kelulusan Mahasiswa Asia Menggunakan Exponential Smoothing Brown-Additive,” SMATIKA J., 2020, doi: 10.32664/smatika.v10i01.441.
M. Kurniawati, “METODE TRIPLE EXPONENTIAL SMOOTHING TIPE BROWN PADA PERAMALAN PRODUKSI PADI PROVINSI JAWA TENGAH,” J. Ilm. Mat. dan Pendidik. Mat., 2021, doi: 10.20884/1.jmp.2021.13.2.4318.
N. H. Ar and M. Kurniawan, “Analisis Fast Moving Consumer Goods untuk Memprakirakan Penjualan Barang Menggunakan Metode Triple Exponential Smoothing,” … J. Inf. Technol., 2021.
D. Anggraeni, S. Maryani, and S. Ariadhy, “PERAMALAN GARIS KEMISKINAN DI KABUPATEN PURBALINGGA TAHUN 2021-2023 DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING LINIER SATU PARAMETER DARI BROWN,” J. Ilm. Mat. dan Pendidik. Mat., 2021, doi: 10.20884/1.jmp.2021.13.2.4548.
F. Reba, A. Sroyer, S. Yokhu, and A. Langowuyo, “Perbandingan Metode Weighted Moving Average dan Single Exponential Smoothing Angka Partisipasi Sekolah Wilayah Adat, Papua,” Sainmatika J. Ilm. Mat. dan Ilmu Pengetah. Alam, 2021, doi: 10.31851/sainmatika.v18i2.6617.
F. Reba and A. Sroyer, “Prediksi Angka Partisipasi Kasar (APK) SD/SMP/SMA dan Sederajat Tahun 2022–2030 Menggunakan Moving Average Kabupaten Jayapura Provinsi Papua,” J. Cendekia J. Pendidik. Mat., 2020, doi: 10.31004/cendekia.v4i2.273.
DOI: https://doi.org/10.21831/jsd.v11i2.53345
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Agustinus Langowuyo, Felix Reba, Yosefina Sarena