Hamdiah, Yulinda Raudatul
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Prediksi Tingkat Produksi Padi di Kota Mataram dengan Metode Least Square Hamdiah, Yulinda Raudatul; Jannah, Rafaatul; Choirunnisa, Fajarani; Robbaniyyah, Nuzla Af’idatur; Rusadi, Tri Maryono
Basis : Jurnal Ilmiah Matematika Vol 4 No 1 (2025): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/basis.v4i1.1470

Abstract

Penelitian ini bertujuan untuk menentukan model prediksi jumlah produksi padi di Kota Mataram pada tahun 2024-2029 dengan menggunakan metode Least Square. Berdasarkan data historis produksi padi dari tahun 2018 hingga 2023, hasil prediksi menunjukkan bahwa produksi padi di Kota Mataram pada tahun 2024 diperkirakan mencapai 16.701 ton dan akan terus meningkat setiap tahunnya, dengan perkiraan mencapai 17.161 ton pada tahun 2029. Tingkat kesalahan prediksi yang sangat rendah dengan menggunakan MAPE sebesar 0,28%, menunjukkan bahwa model ini sangat akurat dan dapat digunakan sebagai dasar perencanaan dan pengambilan keputusan untuk masa depan.
Trends Analysis Between The Relationship Rice Harvest and Rice Productivity in Nusa Tenggara Province Hamdiah, Yulinda Raudatul; Robbaniyyah, Nuzla Af'idatur
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/smj.v2i1.257

Abstract

This study aims to analyze the monthly trends in rice productivity and harvested area in West Nusa Tenggara (NTB) Province in 2023 and identify the relationship between these two variables. The data used in this research were obtained through a rice crop cutting survey based on the Area Sample Frame (KSA) method conducted by the Central Statistics Agency. Productivity was calculated based on the amount of yield produced per unit area of land each month. The results showed that rice productivity in NTB Province fluctuated, with the highest productivity recorded in January at 56.54 quintals per hectare (ku/ha) and the lowest in June at 48.40 ku/ha. Similarly, the harvested area varied, with the largest area recorded in March at 73,766 hectares and the smallest in December at 5,382 hectares. The analysis of the relationship between harvested area and rice productivity revealed an inverse pattern, where an increase in harvested area was not always accompanied by an increase in productivity. Therefore, rice productivity and harvested area are more influenced by external factors and do not directly affect each other.