Suhartina R
Sekolah Tinggi Ilmu Ekonomi, LPI Makassar

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Design Innovative Solution Model for Banking Specific Financing in Rice Commodity Agribusiness in South Sulawesi Z Zulkifli; Sri Mardiyati; H Hamzah; Abubakar Idhan; S Suhartina
JURNAL GALUNG TROPIKA Vol 10 No 3 (2021)
Publisher : Fapetrik-UMPAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jgt.v10i3.897

Abstract

TREND ANALYSIS OF COCOA COMMODITY PRICES IN SOUTH SULAWESI PROVINCE Zulkifli - Sjamsir; Sumarni ,; Hafikah Durmiati Jopi; Suhartina R
AgriMu Vol 2, No 2 (2022): AgriMu Juni 2022
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/agm.v2i2.7688

Abstract

This study aims to analyze the trend of cocoa commodity prices in South Sulawesi Province.The data sources used are data obtained from the BPS (Central Bureau of Statistics) of South Sulawesi Province. This study uses secondary data (time series) from 2011-2020, the research method used in this study is a quantitative method. Analysis of the data used in this study is linear regression with the least square method (least square method).The results of this study indicate that the trend of cocoa commodity prices in South Sulawesi Province in the period from 2011 to 2020 shows the development of cocoa prices every year on average of Rp. 13,078.00 per kilo gram. Keywords: Trend, Price, Cocoa
Faktor-Faktor Penentu Produksi Kakao dengan Teknik Sambung Sisi di Singa, Kecamatan Herlang, Kabupaten Bulukumba: - Zulkifli; Dahliana, A Besse; R, Suhartina; Sardjan, Baso
Jurnal Galung Tropika Vol 14 No 1 (2025)
Publisher : Fakultas Pertanian, Peternakan dan Perikanan Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jgt.v14i1.1250

Abstract

This study aims to analyze the determinants of cocoa productivity through side grafting technology in Singa Village, Herlang District, Bulukumba Regency. The research design is descriptive and quantitative, with primary data collection in March 2023. A total of 30 farmers implementing side grafting were selected and stratified based on land area and plant age. Independent variables include land area (ha), labor intensity (working days), fertilizer quantity (kg/ha), pesticide use (L/ha), plant age (years), and farmer technical skills (score). The dependent variable is cocoa yield (kg/ha). Data analysis used Cobb–Douglas regression in SPSS, equipped with goodness-of-fit (R²), multicollinearity (VIF), simultaneous significance (F), and partial (t) tests. The model results explain 93.5% of the variation in yield (R² = 0.935; p <0.001) with VIF <1.5 in all variables. Land area was shown to have a significant positive effect on yield (? = 1.013; t = 8.81; p < 0.001), while labor, fertilizer, pesticide, plant age, and farmer skills did not show significant effects. These findings emphasize the importance of land management and expansion of planting areas to increase cocoa productivity in the side grafting system. Policy recommendations include providing additional land access, grafting technical training, and integrated nutrient and pest management.