Comparative Study of Machine Learning and Holt-Winters Exponential Smoothing Models for Prediction of CPI’s Seasonal Data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparative Study of Machine Learning and Holt-Winters Exponential Smoothing Models for Prediction of CPI’s Seasonal Data

Published:2024-02-28 Issue: Volume:11 Page:144-148
ISSN:
Container-title:2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT)
language:
Short-container-title:

Author:

Afrah Ashri Shabrina¹,Sari Nur Fitriyah Ayu Tunjung¹,Utama Shoffin Nahwa¹,Holle Khadijah Fahmi Hayati¹,Lestandy Merinda²,Sintiya Endah Septa³,Rizdania ⁴

Affiliation:

1. Universitas Islam Negeri Maulana Malik Ibrahim Malang,Department of Informatics Engineering,Malang,Indonesia

2. Universitas Muhammadiyah Malang,Department of Electrical Engineering,Malang,Indonesia

3. State Polytechnic of Malang,Information Technology Department,Malang,Indonesia

4. University of PGRI Wiranegara,Computer Science Department,Pasuruan,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10497456/10497457/10497509.pdf?arnumber=10497509

Reference14 articles.

1. A comparative study of time-series models for forecasting the indonesian gold price

2. Pengaruh Inflasi, Suku Bunga Dan Nilai Tukar Terhadap Harga Saham Studi Kasus Pada Perusahaan Manufaktur Otomotif Terdaftar Di Bursa Efek Indonesia Tahun 2012- 2017

3. The Impact of Consumer Price Index, Foreign Direct Investment, Bank Credit and Labour Force on Economic Growth in Indonesia

4. Forecasting Consumer Price Index in Indonesia Using Moving Average and Holt Exponential Smoothing Methods;Lestari;Prosiding Seminar Nasional Mahasiswa UNIMUS,2018

5. Peramalan Inflasi Kota Kediri Berdasarkan Indeks Harga Konsumen Menggunakan Metode Exponential Smoothing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP