Salt Farmer measurement performance system facing Covid-19 pandemic used interval type-2 FAHP Method

Kustiyahningsih, Yeni; Rahmanita, Eza; Purbandini,; Kholifah, N

doi:10.1088/1742-6596/2193/1/012012

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…Salt is a very important commodity for economic development in Indonesia. A large number of salt needs makes the country have to produce salt to meet the national salt demand [1] [2]. The Covid-19 pandemic has caused all sectors to be paralyzed [3], salt farmers in Sampang Madura are no exception.…”

Section: Introductionmentioning

confidence: 99%

“…The number of restaurants, factories, food shops, beauty salons, and hotels that are closed causes the demand for salt to decline [4]. Various government program efforts (Marine and Fisheries Service) in helping salt farmers face acceleration of handling Covid-19, namely through technology training programs, providing People's Business Credit assistance, providing appropriate technical assistance such as geomembranes to increase the amount of production and online marketing training [2] [5].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Type-2 Trapezoid Methods for Decision Making Salt Farmer Mapping

Kustiyahningsih¹,

Rahmanita

Purbandini

et al. 2022

KINETIK

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The need for domestic salt every year has increased, both for consumption and industrial salt. Some of the fisheries service programs include providing assistance to people's businesses, providing geomembrane, and online marketing training. A large number of salt farmers and official work programs have caused the implementation of the program to be less than optimal, resulting in low salt production. This study uses a type-2 fuzzy method by integrating two methods, namely type-2 Fuzzy Analytical Hierarchy Process AHP (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Fuzzy type-2 has higher accuracy than fuzzy type-1 and is more efficient and more flexible in determining the linguistic scale for criteria. The Fuzzy Analytical Hierarchy Process AHP (FAHP) interval is used to determine the weight of the salt farmer mapping criteria. Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS), used to determine. The findings of this study are that the indicators that most influence the mapping of salt farmers are land area, marketing, and market. The results of the mapping of salt farmers are the classification of salt farmer class groups and recommendations for improvement for each salt farmer. Hybrid type-2 Fuzzy Analytical Hierarchy Process AHP (FAHP) method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), can be used for mapping salt farmers based on the consistency ratio value below 10 percent, 37 percent enter high class, 28 percent enter the middle class and 35 percent enter low class

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy Type-2 Trapezoid Methods for Decision Making Salt Farmer Mapping

Kustiyahningsih¹,

Rahmanita

Purbandini

et al. 2022

KINETIK

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“…This is because it still requires further processes such as washing and giving iodine for consumption salt [4] [5]. Small-scale salt business actors living in rural areas are faced with low technological mastery, weak capital ownership, lack of access and information to markets, and limited business management skills [6][5] [7]. The conventional management pattern is also the cause of the not yet optimal production of people's salt, especially in terms of quality [3][8].…”

Section: Introductionmentioning

confidence: 99%

“…The results of productivity salt ponds also affect implementation of government programs, namely provision of People's Business Credit (KUR), the provision of appropriate technology assistance for geomembranes and provision of coaching and mentoring programs for salt farmers [7]. Therefore, a grouping or clustering system is needed to make it easier for the Department of Fisheries and Marine Affairs to increase salt production in Sampang Regencies and to improve the economic sector of the…”

Section: Introductionmentioning

confidence: 99%

Decision Support System of Salt Points Grouping Using K-Means Method

Kustiyahningsih

Rahmanita

Rochman

et al. 2022

J. Phys.: Conf. Ser.

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Madura Island is known as Salt Island. Madura has always been one of the major contributors to the national salt production. However, the resulting salt production has not been able to meet the needs of national salt and salt for public consumption. There are 4 salt producing districts in Madura, namely Sampang, Bangkalan, Sumenep and Pamekasan. There are several factors that affect the low productivity of salt, including weather and climate, undeveloped technology, inadequate means and infrastructure for smallholder salt production, and marketing of people’s salt is still on a local scale. The purpose of this study is to create and design a decision support system application for grouping salt ponds to increase the productivity and economy of the Madurese community, especially salt farmers in Sampang and Bangkalan districts. The method used for grouping salt ponds is the K-Means Clustering method. This method can divide or partition salt pond data into several clusters according to the characteristics of each data. The grouping of salt ponds is based on several criteria data, namely land area, land status, labor, capital, production, profit, education, and experience of salt farmers. The results of this study resulted in 3 clusters for salt ponds with high productivity (C1) of 46%, medium productivity (C2) of 31% and low productivity (C3) of 23%.

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Integration K-Means clustering and AHP for recommendations batik MSMEs

Kustiyahningsih,

Khozaimi,

Khotimah

et al. 2024

E3S Web Conf.

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Batik MSME industry is a creative industry sector in Indonesia which contributes quite a lot to Gross Domestic Product. Batik products have been recognized worldwide as one of creative products from Indonesia by UNESCO which confirmed batik as an intangible Cultural Heritage of Humanity. There are around 250 batik makers in Madura Indonesia. The problem is that the large number of batik craftsmen makes it difficult for cooperatives to determine MSME priorities and the Cooperative Work Program. Some batik indicator data is not all filled and there is still categorical and numerical data. The aim is to group batik based on the number of workers, number of products, age, education, business license, turnover, and number of batik motifs. The method used is data preprocessing using Min-Max normalization to convert categorical data into numerical and averages to overcome imputation of empty data. The data grouping method uses K-Means Clustering. AHP is used to determine indicators that have most influence on clustering and ranking of Batik MSMEs. The research contribution is integration of K-Means with AHP and preprocessing techniques. The most optimal cluster evaluation technique uses SSE. Based on the test results, the optimal cluster is K=3, with an SSE value = 0.287, Cluster 1 (Low) = 28%, Cluster 2 (medium) = 33%, and cluster 3 (High) = 39%. The results of recommendations for four highest weighting criteria using AHP are number of customers 24%, employee training 18.8%, product branding 17%, market place 16.3%.

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Salt Farmer measurement performance system facing Covid-19 pandemic used interval type-2 FAHP Method

Cited by 3 publications

References 8 publications

Fuzzy Type-2 Trapezoid Methods for Decision Making Salt Farmer Mapping

Fuzzy Type-2 Trapezoid Methods for Decision Making Salt Farmer Mapping

Decision Support System of Salt Points Grouping Using K-Means Method

Integration K-Means clustering and AHP for recommendations batik MSMEs

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