The Performance of Production, Price and Marketing System of Shallot in Central Java

Basuki, Seno; Wulanjari, Munir Eti; Komalawati, Komalawati; Sahara, Dewi

doi:10.1051/e3sconf/202131602004

Cited by 4 publications

(3 citation statements)

References 17 publications

(20 reference statements)

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“…The marketing channels carry out the task of moving goods from producers to consumers. This thing overcomes the gaps in time, place and ownership that separated the goods and services from the people who need or want them (Basuki et al, 2021b).…”

Section: Marketing Agencies and Channelsmentioning

confidence: 99%

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Marketing Efficiency of Shallot Commodity in Malang Raya

Siswantoro,

Pariasa,

Hardana

et al. 2024

HBT

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Analyzing the marketing efficiency of shallot commodities is the main objective in this research.The research was located in Malang Raya included Malang City, Batu City, and Malang Regency. The method of taking farming respondents with a simple random sample design was taken based on the parallel formula in 37 people. Selected marketer’s respondent using the snowball sampling method, involving 13 individuals in total. The margin analysis is conducted to analyze the components of marketing costs as well as the share received by each market actors involved in shallot marketing. Profit marketing margin analysis, the ratio of profit was taken over the costs incurred by each marketing institution in the four marketing channels could be said to be generally efficient. The price share that was received by farmers in marketing channel IV is the highest sahre among the other channels. This is a result of farmers selling their shallots to intermediary traders directly. In contrast to marketing channel III, which gives farmers the lowest share. This occurs because of the high selling price difference between retailers and farmers and involves three marketing institutions.

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Section: Marketing Agencies and Channelsmentioning

confidence: 99%

“…Each different channel will provide with different benefits to each marketing agency included the activity. The shorter the marketing channel, the greater benefits producers compared to long marketing channels (Basuki et al, 2021a;Dewayanti et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Marketing Efficiency of Shallot Commodity in Malang Raya

Siswantoro,

Pariasa,

Hardana

et al. 2024

HBT

View full text Add to dashboard Cite

show abstract

“…Shallots hold a prominent position as a primary culinary enhancer in Indonesian cuisine, rendering them irreplaceable by alternative ingredients. The demand for shallots has been steadily increasing over the years, in line with the growth of the food sector and the expanding global population [Basuki, 2021]. The unbalanced supply and demand of shallot in each province of Indonesia result in trade movements from regions with excess to those with deficits, hence indicating the presence of market integration .…”

Section: Introductionmentioning

confidence: 99%

Application of Data Mining with K-Nearest Neighbors Algorithm for Shallot Price Prediction

Dewi Br Sinulingga,

Avianto

2023

JCSTS

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Shallots are an important and widely consumed bulb crop in Indonesia, both for medicinal and culinary purposes. However, shallot yield is substantially affected by its supply, often leading to significant price fluctuations that greatly impact consumers and producers, especially farmers. Farmers who cannot accurately predict shallot prices often incur losses when selling to shallot distributors. If this problem is not resolved, it may discourage farmers from cultivating shallots. Therefore, a prediction system is needed to forecast shallot prices in the future, thus helping farmers make the right decisions. This research uses the K-Nearest Neighbors (KNN) algorithm for shallot price prediction. KNN classifies data into specific categories based on the closest distance to a set of k patterns for each category, using the Euclidean distance formula to calculate the distance. The dataset consists of 303 entries with five features: farmer price, seller price, retail price, seed price, and yield. The test results of the Shallot Price Prediction System in North Sumatra Province, Indonesia, using the K-Nearest Neighbors Algorithm, showed the best performance when using 80% training data and 20% testing data, with a value of k=2, resulting in a Mean Absolute Error (MAE) of 25,786 and a Mean Squared Error (MSE) of 72. This system empowers farmers to predict the future price of shallots before selling their crops to distributors.

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Farmer Entrepreneurship and Chili Peppers on Sandy Land in Kulon Progo Regency

Wijaya,

Afro Haifa,

Suprehatin

2024

E3S Web Conf.

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This study explores the relationship between entrepreneurial characteristics and the performance of chili pepper farming on sandy land in Kapanewon Galur, Kulon Progo Regency. Key entrepreneurial traits examined include leadership, confidence, risk-taking, hard work, and innovation. The performance metrics include sales target achievement and profit target achievement. Using a simple random sampling method, data were collected from 52 chili pepper farmers and analyzed using descriptive analysis and Spearman Rank correlation test. The findings reveal significant positive correlations between most entrepreneurial characteristics and farming performance. Leadership, confidence, risk-taking, and hard work significantly correlate with sales and profit targets, while innovation shows a significant correlation with sales targets only. The study highlights the importance of enhancing these entrepreneurial traits to improve farming performance. Managerial recommendations focus on implementing tailored training programs, strengthening agricultural extension services, encouraging the formation of farmer cooperatives, promoting a culture of innovation, developing comprehensive risk management strategies, and improving access to credit and financial services. By focusing on these areas, farmers can enhance their productivity, profitability, and sustainability, thereby contributing to the overall development of the agricultural sector in the region.

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The Performance of Production, Price and Marketing System of Shallot in Central Java

Cited by 4 publications

References 17 publications

Marketing Efficiency of Shallot Commodity in Malang Raya

Marketing Efficiency of Shallot Commodity in Malang Raya

Application of Data Mining with K-Nearest Neighbors Algorithm for Shallot Price Prediction

Farmer Entrepreneurship and Chili Peppers on Sandy Land in Kulon Progo Regency

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