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Single Exponential Smoothing on Pangasius Production Forecasting in South Sumatera

Journal of Smart Agriculture and Environmental Technology · Vol. 2 No. 1 (2024) · hlm. 13–17

DOI
10.60105/josaet.2024.2.1.13-17
ISSN
3021-8802
Terbit
2024-04-02
Penerbit
Institut Teknologi Sumatera

Abstrak

The product of inland waters in South Sumatra which is very potential, namely Patin fish (Pangasius). South Sumatra is working on the export potential of pangasius because production has penetrated the first rank in Indonesia. Sumatra Island is the largest contributor, namely 68.07% of the total national pangasius production, while South Sumatra is recorded as the largest pangasius aquaculture producer in Indonesia, which is around 47.4% of the total national production. As one of the production centers for pangasius in Indonesia, every year it is hoped that there will be an increase in production to meet local and national demand. This study aims to predict pangasius production in South Sumatra on 2023 using the Single Exponential Smoothing Method. The data used is secondary data from the Ministry of Maritime Affairs and Fisheries and the Central Statistics Agency for South Sumatra in the form of pangasius production data in South Sumatra from 2006 to 2022. Forecasting results are carried out by calculating the average error value using the MAPE method. The results showed that the MAPE value of the pangasius production forecasting model in South Sumatra was 43,58%. Forecasting pangasius production in South Sumatra in 2023 is 53.111,15 tons.

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  • Universitas Halu Oleo
  • Institut Agama Islam Negeri Kendari
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Rekan penulisOrganisasiArtikel bersama
Ema pusvita EmaAfiliasi tidak diketahui2
Andy MulyanaAfiliasi tidak diketahui2
Dessy AdrianiAfiliasi tidak diketahui2
Natalis RansiUniversitas Halu Oleo1
Waode Hardianas ShalawatiAfiliasi tidak diketahui1
Lifianthi LifianthiAfiliasi tidak diketahui1
Deswita Fajar AyuningsihAfiliasi tidak diketahui1
Andi Tenri AmpaInstitut Agama Islam Negeri Kendari1
NurlianaAfiliasi tidak diketahui1
Maghfirah Sari AzisAfiliasi tidak diketahui1
Imran - ImranAfiliasi tidak diketahui1
Nurkhalis NurkhalisAfiliasi tidak diketahui1
Kurnia Fitri JamilAfiliasi tidak diketahui1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/3021-8802/works, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Single Exponential Smoothing on Pangasius Production Forecasting in South Sumatera</dc:title><dc:creator>Perwita Sari, Lia</dc:creator><dc:creator>Yamin, Muhammad</dc:creator><dc:creator>Antoni, Mirza</dc:creator><dc:creator>Riswani</dc:creator><dc:description>&lt;jats:p&gt;The product of inland waters in South Sumatra which is very potential, namely Patin fish (Pangasius). South Sumatra is working on the export potential of pangasius because production has penetrated the first rank in Indonesia. Sumatra Island is the largest contributor, namely 68.07% of the total national pangasius production, while South Sumatra is recorded as the largest pangasius aquaculture producer in Indonesia, which is around 47.4% of the total national production. As one of the production centers for pangasius in Indonesia, every year it is hoped that there will be an increase in production to meet local and national demand. This study aims to predict pangasius production in South Sumatra on 2023 using the Single Exponential Smoothing Method. The data used is secondary data from the Ministry of Maritime Affairs and Fisheries and the Central Statistics Agency for South Sumatra in the form of pangasius production data in South Sumatra from 2006 to 2022. Forecasting results are carried out by calculating the average error value using the MAPE method. The results showed that the MAPE value of the pangasius production forecasting model in South Sumatra was 43,58%. Forecasting pangasius production in South Sumatra in 2023 is 53.111,15 tons.&lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatera</dc:publisher><dc:date>2024-04-02</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.60105/josaet.2024.2.1.13-17</dc:identifier><dc:identifier>10.60105/josaet.2024.2.1.13-17</dc:identifier><dc:source>Journal of Smart Agriculture and Environmental Technology; Vol 2 No 1 (2024); 13-17</dc:source><dc:source>3021-8802</dc:source><dc:relation>https://josaet.com/index.php/smartagrienvitech/article/download/45/21</dc:relation></oai_dc:dc>