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All Journal BERKALA FISIKA Diophantine Journal of Mathematics and Its Applications
D Puspita
Departemen Fiska, FMIPA, Institut Peranian Bogor, Jl. Meranti gedung FMIPA, Kampus Dramaga, Bogor 16680, Tel./ Fax : +62-251-625728
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Physics

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Optimasi Tungku Sekam Skala Industri Kecil Dengan Sistem Boiler Nawafi, F; Puspita, D; Desna, Desna; Irzaman, Irzaman
BERKALA FISIKA Vol 13, No 3 (2010): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.857 KB)

Abstract

Rice husk furnace  is a technology based on local wisdom to anticipate threats crisis energy. At first investigated husk stoves for cooking only in the scale of the household, but today rice husk furnace developed for industrial scale because of the importance of commercial aspects of a very promising from this rice husk furnace. In rice husk furnace also developed an industrial scale boiler system, boiler systems where it can enlarge its efficiency, in the midst of a boiler chimney pots have used, because basically rice husk furnace process is influenced by air flow. Husk furnace efficiency greatly affect the number of furnace ash which is required in the cooking process.   Keywords: rice husk, rice husk furnaces, air flow, efficiency, boilers.
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 Desna Desna F Nawafi Irzaman, Irzaman Julieta, A N Hidayati Putri, M H C Shidigie, A A Yurike, L