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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) · pp. 13–17

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

Abstract

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.

Collaboration network of the authors

40 authors · 159 co-authorship links · showing the 40 most connected

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  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Simon SalimAffiliation unknown6
Siti SetiatiAffiliation unknown3
Idrus AlwiAffiliation unknown3
Eka GinanjarAffiliation unknown3
Ema pusvita EmaAffiliation unknown2
Andy MulyanaAffiliation unknown2
Dessy AdrianiAffiliation unknown2
Nur PaikahAffiliation unknown2
Kuntjoro HarimurtiAffiliation unknown2
Annisa Puspitasari NachrowiAffiliation unknown2
Natalis RansiUniversitas Halu Oleo1
Waode Hardianas ShalawatiAffiliation unknown1
Andi Tenri AmpaUniversitas Halu Oleo1
NurlianaAffiliation unknown1
Maghfirah Sari AzisAffiliation unknown1
Imran - ImranAffiliation unknown1
Nurkhalis NurkhalisAffiliation unknown1
Kurnia Fitri JamilAffiliation unknown1
Faissal MalikAffiliation unknown1
Abdullah Akhyar NasutionAffiliation unknown1
Ibrahim ChalidAffiliation unknown1
Nur HafniAffiliation unknown1
Ika Prasetya WijayaAffiliation unknown1
Suzanna ImmanuelAffiliation unknown1
Aida LydiaAffiliation unknown1
Taufik IndrajayaAffiliation unknown1
Amanda Ulfah DemiliAffiliation unknown1
Hamzah ShatriAffiliation unknown1
Rudi PutrantoAffiliation unknown1
Edward FaisalAffiliation unknown1
Arif MansjoerAffiliation unknown1
Dono AntonoAffiliation unknown1
Putri ZulmiyusriniAffiliation unknown1
Angga Pramudita PudiantoAffiliation unknown1
Alexander Edo TondasAffiliation unknown1
M Syahrir AziziAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/3021-8802/works, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<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>