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All Journal Mediagro Jurnal Ilmiah Membangun Desa dan Pertanian
Indah Arum Ganestyani
Program Studi Agribisnis Fakultas Pertanian Universitas Wahid Hasyim
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences Veterinary

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Analisis Sosial Ekonomi dan Pendapatan Usahatani Buncis Blue Lake di Kecamatan Ngablak Kabupaten Magelang Ahmad Abidin Ali; Shofia Nur Awami; Indah Arum Ganestyani; Lutfi Aris Sasongko
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 10 No. 2 (2025)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/jimdp.v10i2.1630

Abstract

Ngablak District is an agropolitan area located on the slopes of Mount Merbabu, which has abundant natural resource potential, such as vast agricultural land for horticultural crops. Blue lake beans are one of the horticultural crops cultivated in Ngablak District with a partner system of PT. X. This study aims to determine blue lake bean farmers' socio-economic characteristics, bean cultivation, and income levels. The number of farmers involved was 44 farmers. The analysis method in this study was a descriptive quantitative analysis method. The results showed that the socio-economic characteristics of farmers were the average age of 42 years, the level of education of farmers was high school or equivalent, the number of family members of farmers was two people, and some farmers also had other jobs besides farming beans. Blue Lake bean cultivation activities include land preparation, planting, weeding, harvesting, and post-harvest. The bean cultivation system used by farmers used monoculture and multiculture cultivation. The average production cost incurred by farmers for bean farming is IDR1,259,071/planting season, with IDR2,364,432/planting season revenue. The average income of farmers is IDR1,287,753/planting season.
Penentuan Metode Kuantitatif Terbaik Dalam Peramalan Penjualan Selada Hidroponik Di Setya Agrofarm Indah Arum Ganestyani; Rahma Sabilah Suryaningrum
Mediagro: Jurnal Ilmu-ilmu Pertanian Vol 22 No 1 (2026): MEDIAGRO
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31942/mediagro.v22i1.15135

Abstract

Setya Agrofarm is a business engaged in agriculture, especially hydroponic vegetables with commoodities being lettuce, a business that has only been operating for two years. The research location is located in Blimbing Village, Boja District, Kendal Regency. Setya Agrofarm in hydroponic lettuce cultivation using the NFT (Nutrient Film Technique) system. One of the problems faced in the agricultural business is the uncertainty in vegetables sales, causing conditions of shortage or excess supply, which occurs several times, therefore the importance of forecasting. This uncertainty is caused by several factors including price, weather, and market competition. The respondent sampling techniques uses Nonprobability sampling, namely snowball sampling. This technique was chosen because the data came from the first source which was incomplete and then required information from other sources. The number of forecasting methods, Setya Agrofarm requires an appropriate forecasting method to deal with supply uncertainty and sales trends, the purpose of this study is to determine the best quantitative forecasting method including Naïve, Moving Average, and the single exponentiant smoothing method based on he results of the smaller MAPE (Mean Absolute Percentage Error). The results of the study showed that the most accurate method was to forecast sales using the Moving Average method with a MAPE value of 27.53% at length, this method can be used as a reference for Setya Agrofarm in Forecasting the next one-year period.
Co-Authors Ahmad Abidin Ali Lutfi Aris Sasongko Rahma Sabilah Suryaningrum Shofia Nur Awami