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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Delta-Pi : Jurnal Matematika dan Pendidikan Matematika Jurnal Sains Matematika dan Statistika JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Ilmiah Pertanian ( JIPERTA) Cita Ekonomika: Jurnal Ilmu Ekonomi Al Khidma: Jurnal Pengabdian Masyarakat Pakem : Jurnal Pengabdian Kepada Masyarakat Pattimura International Journal of Mathematics (PIJMath) Jurnal GAMMA-PI Amalgamasi: Journal of Mathematics and Applications
Sari, Riezky Purnama
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Journal : Pattimura International Journal of Mathematics (PIJMath)

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Forecasting Palm Oil Production in North Sumatera Using the Adaptive Neuro Fuzzy Inference System Method Sari, Riezky Purnama; Hidayati, Adinda Tri; Fairus, Fairus
Pattimura International Journal of Mathematics (PIJMath) Vol 4 No 1 (2025): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol4iss1pp1-6

Abstract

Indonesia is an agricultural and maritime country because it is the country that has the largest agriculture and plantations in ASEAN. One of them is palm oil production, because palm oil is believed to not only be able to produce various types of butter, cooking oil or soap, but can also be a substitute for fuel oil. In the province of North Sumatra itself, oil palm is a crop that has potential and produces very high profits. Therefore, forecasting is used to determine future palm oil production results using the ANFIS method in order to increase or catalyze palm fruit. The data source used in this research comes from the Central Statistics Agency (BPS) of North Sumatra. The aim of this research is to determine the results of forecasting palm oil production in North Sumatra using the ANFIS model. So we got results from forecasting palm oil production in North Sumatra which experienced fluctuations throughout the period January 2023 to December 2024 with a forecasting accuracy level of 92% and a MAPE value of 12.778179% with MAPE criteria of 10% - 20% which was considered 'Good '. So it can be concluded that the forecasting results were carried out well and can be used for future forecasting.
Co-Authors Amelia Amelia Amelia Andika, Feky Andika, Fery Arika, Arika Basriwijaya, Kiagus Muhammad Zain Chaidir Chaidir Daratullaila Daratullaila, Daratullaila Edi Syahputra Edy Surya Ellida Novita Lydia Fairus, Fairus Fery Andika Fitri, Ayu Fitriana Hafipah Hidayanti, Adinda Tri Hidayati, Adinda Tri indra, siti balqies Irma Susanti, Irma Liza Fitria, Liza Muhammad Fuad Muhammad Salman Muliani, Fitra mutiara mutiara Nabilla, Ulya Nurfadillah, Dea Nurviana Nurviana, Nurviana Putra, Aulia Zulhaiqal Rahmi Meutia, Rahmi Ritonga, Okta Safira Rosmaiti, Rosmaiti Rozalina, Rozalina Rozalina Safrizal Safrizal Saiman Saiman Sarahtika, Shopia Sari, Riska Novita Sinaga, Anggita Br Sirait, Khairunnas Fadjriah Sutrisno, Imam Hadi Utari, S.R.F.