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Peramalan produksi dan luas panen padi di Provinsi Lampung Periode Tahun 2025-2030 Hana Aulia; Seviananda Ekaputri; Ahmad Rido Firmansyah; Dewi Rohma Wati
Agrivet : Jurnal Ilmu-Ilmu Pertanian dan Peternakan (Journal of Agricultural Sciences and Veteriner) Vol. 14 No. 1 (2026): Juni
Publisher : Fakultas Pertanian Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/agrivet.v14i1.16937

Abstract

This study aims to forecast the rice production and harvested area in Lampung Province to provide a predictive outlook on the region’s rice sector in the coming years. The data used consist of annual time series observations of rice production and harvested area from 1994 to 2024. The forecasting method employed is the Autoregressive Integrated Moving Average (ARIMA), with analytical procedures including stationarity testing, Box–Cox transformation, differencing, model identification through ACF and PACF, parameter estimation, and model selection based on AIC, AICc, and BIC criteria. The results indicate that the ARIMA (0,2,1) model is the most suitable model for both variables, as it exhibits significant parameter estimates and the lowest information criterion values among the candidate models. Based on this model, forecasts for the 2025–2030 period (periods 32–37) show a gradual upward trend in both rice production and harvested area, despite increasing uncertainty over longer forecast horizons. These findings suggest a positive outlook for the rice sector in Lampung Province and can serve as a reference for policymakers and stakeholders in formulating food security strategies and agricultural productivity improvement plans.
PERUBAHAN IKLIM DAN PEMBANGUNAN PERTANIAN INDONESIA: STUDI BLIBIOMETRIK, VOSVIEWERS, DAN STUDI LITERATUR REVIEW Shafira Gaidtsa Az-zahra; Talitha Ayu Septiani; Akmal Syah Fikran Firdaus; Dewi Rohma Wati
ZIRAA'AH MAJALAH ILMIAH PERTANIAN Vol 51 No 1 (2026)
Publisher : Pusat Publikasi Jurnal Universitas Islam Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/zmip.v51i1.22293

Abstract

Perubahan iklim merupakan isu strategis yang berdampak signifikan terhadap sektor pertanian di Indonesia. Penelitian ini bertujuan mengidentifikasi perkembangan kajian perubahan iklim dan pertanian melalui analisis bibliometrik dan tinjauan literatur sistematis serta implikasinya bagi pengembangan ilmu pengetahuan. Metode penelitian menggunakan analisis bibliometrik berbantuan VOSviewer dan systematic literature review (SLR) berdasarkan data sekunder dari Google Scholar periode 2010–2025. Hasil penelitian menunjukkan bahwa kajian didominasi oleh variabel suhu dan curah hujan, dengan peningkatan fokus pada strategi adaptasi, ketahanan pangan, dan keberlanjutan pertanian. Selain itu, kolaborasi antar institusi berperan penting dalam mempercepat penyebaran solusi ilmiah. Studi ini berkontribusi pada penguatan literasi iklim dan pertanian di pendidikan dasar serta menjadi dasar pengembangan kurikulum yang responsif terhadap perubahan iklim.
PENGARUH PRODUKTIVITAS, INFLASI, NILAI TUKAR, DAN PDB TERHADAP NILAI EKSPOR KOPI INDONESIA Fadhilah Septi Anggrani Siregar; Ayu Novita Sari; Salsabila kachita Dila; Dewi Rohma wati
AGRO TATANEN | Jurnal Ilmiah Pertanian Vol. 7 No. 2 (2025): AGRO TATANEN Edisi Juli 2025 | Jurnal Ilmiah Pertanian
Publisher : Program Studi Agroteknologi Faperta UNIBBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55222/ak94ce12

Abstract

Indonesia is one of the world's largest coffee producers with plantations in several provinces in Sumatra, Java and Sulawesi. The coffee sector is a leading export commodity to support the economy, but is influenced by macroeconomic factors such as productivity, inflation, exchange rates, and GDP that affect global competitiveness. This study aims to analyze the effect of productivity, inflation, exchange rates, and Gross Domestic Product (GDP) on the value of Indonesian coffee exports. The data used is secondary data from the period 2000 to 2023, sourced from the Central Statistics Agency (BPS), Bank Indonesia, the Ministry of Agriculture, and the Ministry of Trade. The analysis method uses a quantitative approach with multiple linear regression models. The results showed that productivity and exchange rate had a significant negative effect on the value of coffee exports but inflation and GDP had a significant positive effect. The coefficient of determination of 90.7% indicates that the four independent variables together affect the value of coffee exports. This study provides a deeper understanding of the influence of factors on Indonesia's coffee export performance, which can be the basis for policy recommendations to improve coffee competitiveness in the international market.