Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Paspalum: Jurnal Ilmiah Pertanian Indonesian Journal of Business Analytics (IJBA)
Candra Nuraini
University of Siliwangi
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analysis of Production Factors that Influence the Production of Red Chili Farming in Taraju District, Tasikmalaya Regency Candra Nuraini; Abdul Mutolib; Octaviana Helbawanti; Januar A Ruslan
Indonesian Journal of Business Analytics Vol. 3 No. 5 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v3i5.6286

Abstract

This aims to analyze the factors used in red chili farming activities and the factors that influence red chili production in Banyuasih Village, Taraju District, Tasikmalaya Regency. Research method with a survey approach. The research was conducted in Banyuasih Village, Taraju District, Tasikmalaya Regency—location determination technique using purposive sampling. The essential consideration is that this location is a red chili center. The data used are primary and secondary. The population in this study were sizeable red chili farmers in Banyuasih Village, totaling 210 farmers and members of 6 farmer groups. So that the determination of respondents or research samples is carried out using proportional random sampling. The analytical method used to determine the influence of production factors on production uses a regression equation with the Cobb-Douglas function model and classical assumption testing with Eviews software. Overall (simultaneously) production factor variables: seeds (X1), land area (X2), labor (X3), Urea (X4), Phonska (X5), compost (X6), KCL Fertilizer (X7), Manure ( X8), Insecticide (X9), Herbicide (X10), Fungicide (X11), Dolomite (X12) simultaneously influence red chili production at a 95% confidence level. According to the results of the t-test analysis, the variables that had a significant effect were seeds, labor, and phosca. Meanwhile, the variables of land area, compost, KCl fertilizer, urea fertilizer, manure, insecticides, herbicides, fungicides, and dolomite had no significant effect on red chili production.
Faktor-Faktor yang Memengaruhi Produksi Manggis (Garcinia Mangostana) Di Desa Puspahiang Kecamatan Puspahiang Kabupaten Tasikmalaya Reva Noormahesa; Candra Nuraini; Unang Unang
Paspalum: Jurnal Ilmiah Pertanian Vol. 12 No. 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35138/paspalum.v12i1.698

Abstract

Mangosteen is one of the prospective horticultural commodities in Indonesia. It is a perennial plant with a lifespan of several decades. On average, mangosteen trees in Indonesia can produce 30-70 kg of fruit per tree in a single harvest per year, which is lower compared to Malaysia, Thailand, and India where yields can reach 200-300 kg of fruit per tree. The primary mangosteen production centers in Indonesia are located in West Java Province, specifically in Tasikmalaya, Subang, and Sukabumi. This research was conducted to identify the factors influencing mangosteen production. The research methodology employed a survey approach, collecting primary data directly from respondents (mangosteen farmers) and secondary data obtained from the Tasikmalaya District Central Statistics Agency. The study was conducted in Puspahiang Village, Puspahiang District, Tasikmalaya Regency, and simple random sampling was used for sample selection. The impact of production factors was analyzed using the Cobb-Douglas production function equation model. To assess the simultaneous effect, an F-test was conducted, and for the partial effects, a t-test was employed. The research findings indicate that variables such as land area, number of trees, organic fertilizers, labor force, and tree age collectively influence mangosteen production. Additionally, when examined individually, land area, number of trees, organic fertilizers, labor force, and tree age each have a significant impact on mangosteen production. The scale of production results suggests that a 1 percent increase in input will lead to a 2.216 percent increase in mangosteen production, indicating an increasing return scale.
Co-Authors Abdul Mutolib Helbawanti, Octaviana Januar A Ruslan Reva Noormahesa Unang Unang