Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Ternak Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences BERITA BIOLOGI JURNAL BIOLOGI INDONESIA Diophantine Journal of Mathematics and Its Applications
N Hidayati
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Veterinary

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Prospect of Sugar Cane by Products as a Feedstuffs for Beef Cattle Fattening in Dry Regions Zulbardi M; Tatit Sugiarti; N Hidayati; Abdurrays Ambar Karto
WARTAZOA, Indonesian Bulletin of Animal and Veterinary Sciences Vol 8, No 2 (1999)
Publisher : Indonesian Center for Animal Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.003 KB) | DOI: 10.14334/wartazoa.v8i2.730

Abstract

Several by product of sugar cane can be utilized as roughage. So that cooperation between sugar processing industries and beefcattle industries is enable to enhance. In Indonesia, about 4.62 million ton sugar cane tops, 1 .98 million ton klentekan and 1.32 million ton sugar sogolan can be obtained each year. By product of sugar processing can yield bagasse, blotong and molasses . All of these by products are potential as substitute for common forage in ruminants particularly during a relatively long dry season as long as protein sources are provided. Key words : Feedstuths, by product
Perbandingan Metode Arima (Box Jenkins), Multiscale Autoregressive (MAR), dan Singular Spectrum Analysis (SSA) untuk Data Non-Stationer dalam Peramalan Data Nilai Ekspor Provinsi Bengkulu FOB (Free On Board) Pelabuhan Baai Januari 2019 - September 2023 Shidigie, A A; Yurike, L; Puspita, D; Julieta, A; Hidayati, N; Putri, M H C
Diophantine Journal of Mathematics and Its Applications Vol. 3 No. 1 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v3i1.32051

Abstract

This research presents a comparison of the performance of three forecasting methods, namely ARIMA (Box Jenkins), Multiscale Autoregressive (MAR), and Singular Spectrum Analysis (SSA), in dealing with non-stationary export data challenges. The focus of the study is on forecasting the export value of Bengkulu Province FOB (Free on Board) Pelabuhan Baai from January 2019 to September 2023. By using ARIMA as a classical approach, MAR and SSA as representations of multiscale and signal decomposition approaches, this study aims to provide a comprehensive understanding of the effectiveness of each method in dealing with dynamic export data characteristics. Performance evaluation is carried out using criteria such as Mean Absolute Percentage Error (MAPE), with the hope of providing valuable insights for selecting the optimal forecasting method in the context of Bengkulu Province's exports.
Co-Authors Abdurrays Ambar Karto B Tiesnamurti D Puspita D Sopandie Hartono, MAB Ismeth Inounu Ismeth Inounu Iwan Herdiawan Iwan Herdiawan Julieta, A L Abdullah L Abdullah La Ode Nafiu M Rahmansyah P Mahyudin P.D.M.H Karti Putri, M H C S Hidayat, S S.B Siregar Shidigie, A A Subandriyo . Syarif, F T Sugiarti Tatit Sugiarti TITI JUHAETI Yurike, L Zulbardi M