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Analisis Faktor-faktor yang Mempengaruhi Pendapatan Usaha Tani Jeruk Siam (Studi pada Petani Jeruk Siam di Kecamatan Besitang, Kabupaten Langkat, Sumatera Utara) Rias Tampani Lubis; Rahmanta; Tavi Supriana
Nomicpedia: Journal of Economics and Business Innovation Vol. 1 No. 2 (2021): September
Publisher : Inspirasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.328 KB)

Abstract

Citrus is a horticultural commodity that is feasible to develop because citrus farming provides high profits, so it can be used as a source of income for farmers. The formulation of the problem of this research is the marketing channels and what factors affect the income of farmers in Besitang District, Langkat Regency. By using descriptive and quantitative methods of secondary data samples and primary data taken directly from farmers and traders with a total population of 46 which is proportional to 36 farmers, 5 agents, and 5 retailers. The test is carried out with the F-test for simultaneous and the t-test for partial testing. The results showed that there were only two marketing channels, namely the first level channel (one level channel) and the second level channel (two-level channel) with a margin of 62.19% between farmers and agents while 27.81% between agents and retailers, then production. , price, capital, land rent, and labor wages simultaneously affect the income of farmers, and partially the production, price, and capital variables have an influence on farmers' income but partially there is no effect between land rent and labor wages on the income of citrus farmers. Siam in Besitang District, Langkat Regency.
THE INFLUENCE OF SOCIAL ACCESS AND ACCESS TO PUBLIC FACILITIES CHANGES IN CONSUMPTION PATTERNS Mitra Musika Lubis; Darma Bakti; Rahmanta; Sri Fajar Ayu
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology Vol. 2 No. 1 (2022): DECEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v2i1.135

Abstract

The vast territory of Indonesia makes Indonesia rich in various foods. However, the irony is that the distribution of staple foods such as rice does not fully reach remote areas in Indonesia. This resulted in rice prices soaring and difficult to obtain. People don't care and try to switch to rice substitute foods such as bread, noodles, corn and other foods. This study aims to determine what factors influence the change in food habits from rice to non-rice. The research was conducted in Tanjung Pasir Village, Sei Merah Village, Lubuk Kertang Village, which is in Pangkalan Susu District, Langkat Regency, North Sumatra. The research model used is a descriptive quantitative research model. The data analysis used was Stuctural Equation Modeling (SEM) analysis assisted by AMOS 20.0 software. The data collection instrument used was a questionnaire instrument. The results of this study indicate that the factors of social access and public facilities influence changes in people's consumption patterns towards non-rice foods. The conclusion is that people in this area are experiencing diversification, changing consumption patterns to non-rice foods. The community prefers to look for food, especially for breakfast, to the stalls to look for non-rice foods such as bread, instant noodles, some corn and cassava. The reasons are: 1) The education factor can change people's food habits because it has an impact on the difficulty of getting a decent job, the quality of life is below standard, one of which is the difficulty to get rice; 2) The location of the market which is far away and difficult to access has resulted in soaring rice prices and this is one of the problems with public facilities; 3) The natural condition of the coast which lacks the availability of clean water and also poor sanitation makes it difficult for housewives to cook food at home.
EFFECT OF INCREASING FOOD COMMODITY PRICES AGAINST INFLATION IN MEDAN CITY Dini Khairina Pasaribu; Iskandarini; Rahmanta
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 2 (2024): April
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i2.1625

Abstract

Inflation is a situation where the prices of goods and services generally increase over a certain period of time. High and unstable inflation is a reflection of economic instability which results in a general and continuous increase in the price level of goods and services, and results in increasing levels of goods and services. Inflation in food can be caused by various factors, including fluctuations in the price of agricultural raw materials such as grain prices, adverse weather conditions such as drought or floods that affect agricultural production, increases in production costs such as energy and fertilizer costs, changes in global or local demand, trade policies, market speculation, and other factors. The aim of this research is to identify the influence of corn prices, soybean prices, chicken prices, garlic prices on inflation in Medan City. The data used in this research is secondary data in the form of a time series starting from 2019 to 2023 (per month). The research method used is the VECM method and Granger causality. The research results are Based on the research results, the variables that have a long-term relationship are the price of soybeans (X2) and the price of purebred chickens (X3) as evidenced by the T-statistic value > from the t-table. In the short term, several variables, namely the price of corn (X1-1) at lag 1, the price of soybeans (X2-2) at lag 2, the price of chicken (X3-1) and general inflation (Y-2) at lag 2 have an effect on general inflation. (Y). This is because each variable has a t-statistic value > t-table. Based on the results of the Granger causality test, there is a one-way causality relationship between the variables corn price (X1) and soybean price (X2). one-way causality between the variable corn price (X1) and general inflation (Y), one-way relationship between the variable broiler chicken (X3) and the price of soybeans (X2), one-way relationship between the variable price of garlic (X4) and the price of soybeans (X2 ), a one-way relationship between the soybean price variable (X2) and the inflation variable (Y), a one-way relationship between the price variable for purebred chickens (X3) and general inflation (Y).