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All Journal AGRITEXTS: Journal of Agricultural Extension Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis
Tenriawaru, Nixia
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

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AUTOREGRESSIVE INTEGRATED MOVING AVERAGE FOR COCOA PRODUCTION IN SULAWESI ISLAND 2021-2030 Tenriawaru, Nixia; Amiruddin, Achmad; Arsyad, Muhammad; Mahyuddin, Mahyuddin; Kharisma, N; Nie, Fengying; Ridwan, Muhammad
Jurnal AGRISEP JURNAL AGRISEP VOL 21 NO 02 2022 (SEPTEMBER)
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.375 KB) | DOI: 10.31186/jagrisep.21.2.425-436

Abstract

Agribusiness Cocoa on the island of Sulawesi is very supported by the availability of land plantations to produce production even bigger cocoa with management plant and processing seed good cocoa _ thus producing quality cocoa beans. However Thus, various problems are still just faced in the cultivation of cocoa which resulted in the decline in results production. At the moment this Indonesia's position is ranked third highest, however with problems production faced _ of course just rating this could shift to down, though riches nature and location geographical very support cultivation. Research results use the Autoregressive Integrated Moving Average (ARIMA) method, which shows that the area and cocoa production on Sulawesi Island in 2021-2030 experience fluctuation. Southeast Sulawesi is a province on the island of Sulawesi which has the highest area (445.91 ha) in 2030, however, Central Sulawesi Province occupies a position as the center production major by 2030 with a production of 151.68 tons/ha.  
Contribution of Coffee Farming to Household Income Amir, Ayu Anisa; Tenriawaru, Nixia; Fudjaja, Letty; Darma, Rahim; Salim, Adriyanto Rahman
AGRITEXTS: Journal of Agricultural Extension Vol 47, No 1 (2023): May
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agritexts.v47i1.65927

Abstract

This study aims to analyze income and determinants of coffee farming and the contribution against household income in the Tinggimoncong. The location of this study was implemented in the District Tinggimoncong, especially in Parigi, Bontolerung, and Malino, from February until March 2022. The total respondents in this research are 60 farmers. The data was processed using descriptive analysis, analysis percentage, and analysis multiple linear regression with help from the SPSS 22 application. The results of this study show coffee farming contributes to income farming, as well as influencing factors by simultaneous and partial income farming that is a total tree, productivity trees, age plant, cost fixed, cost variables, and output prices as well as in the coefficient test determination proven that no other variables affect income farming. From that result, the author recommends more notice enhancement of efficiency and effectiveness from the variables mentioned before.
Co-Authors Amir, Ayu Anisa Amiruddin, Achmad Baehaqi Fudjaja, Letty Kharisma, N Muhammad Ridwan Nie, Fengying Rahim Darma Rufi'i Salim, Adriyanto Rahman