Model Multi Criteria Decision Making with Fuzzy ANP Method for Performance Measurement Small Medium Enterprise (SME)

Rahmanita, Eza; Widyaningrum, Vivi Tri; Kustiyahningsih, Yeni; Purnama, Jaka

doi:10.1088/1757-899x/336/1/012023

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The Covid-19 pandemic has negative implications for the domestic economy, such as a decrease in people's consumption and purchasing power, a decline in company performance, and the existence of MSMEs. In this pandemic situation, the MSME sector contributes 99.99% of all existing businesses, employs 97.16% of the private sector workforce, and contributes 57.5% to Indonesia's gross domestic product [1]. Various government program efforts (Bangkalan Cooperatives and UMKM Service) in helping Batik UMKM players face the Covid-19 pandemic so that they are right on target [2].…”

Section: Intoductionmentioning

confidence: 99%

Hybrid FAHP and TOPSIS to determine recommendation for improving SMEs facing Covid-19 pandemic

Kustiyahningsih

Rahmanita

Anamisa

2022

J. Phys.: Conf. Ser.

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The Covid-19 pandemic has had an impact on domestic economy, such as a decrease in people’s consumption and purchasing power, a decline in company performance, as well as SMEs. This situation, SMEs sector controls 99.99% of all existing businesses, employs 97.16% of private sector workforce, and contributes 57.5% to Indonesia’s gross product. Various government program efforts in helping Batik SMEs players face Covid-19 pandemic so that they are right on target. The large number of SMEs in Bangkalan is around 166,768, causing department to find it difficult to determine recommendations for improvement for each MSME. Based on these problems, a cooperative model for the SMEs industry is needed so that official work program runs smoothly on target. The method used is FAHP and TOPSIS integration method, FAHP method is used to determine weighting and TOPSIS method is used for ranking and recommendations for improvement. The advantage of FAHP is consistency index to control error rate of decision. TOPSIS method is capable of making multi-criteria decisions based on alternative SMEs industry mapping process. The purpose is make a recommendation model for improvement using hybrid method of FAHP and TOPSIS with balanced scorecard indicators for learning and growth perspective. The research contribution is to make decisions based on group recommendations and consistency ratio (CR) is less than 0.1. The findings research, that the influential indicators are batik business ownership and variations of batik motifs. The recommendations for improvement, the average MSME still does not have branding.

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Section: Intoductionmentioning

confidence: 99%

Hybrid FAHP and TOPSIS to determine recommendation for improving SMEs facing Covid-19 pandemic

Kustiyahningsih

Rahmanita

Anamisa

2022

J. Phys.: Conf. Ser.

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“…The Analytical Hierarchy Process (AHP) method produces a model that is more flexible and easier to do because it can solve multi -criteria problems in a hierarchical structure. In determining optimal weight, Analytical Hierarchy Process (AHP) considers the value of the Consistency Ratio (CR) in determining a consistent decision [13] [14].…”

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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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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“…A lot of studies implementing the fuzzy method for evaluation have been conducted so far, namely fuzzy metode for evaluating the performance of cloud services in an uncertain environment [8], evaluation of computing systems [9], evaluation and supplier selection [10], [11], evaluation workers [12], evaluation of the performance of small and medium enterprises [13], city service performance evaluation [14], employee performance evaluation [15], [16], evaluation of student performance [17]- [20], online learning evaluation [21], and a course recommendation system [22]. It can be concluded that those study only used maximum two assessment aspects/assessment indicators.…”

Section: Introductionmentioning

confidence: 99%

Decision support system on quality assessment of the prospective civil servant’s education and training using fuzzy method

Susanto¹,

Wahid²,

Hazriani³

et al. 2021

IJEECS

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<p>This study aims to develop a decision support system using the fuzzy method in order to assess the quality of education and training of prospective civil servants and highlight possible improvement considerations. The assessment consists of six criterias, namely coaches, lecturers, preachers, mentors, examiners, and administrators. Based on the evaluation result of the quality level of each criterion, it is obtained that the top two criterion are examiners and preachers, followed by coaches, lecturers, advisors, and the lowest is organizer. In addition, the quality of the civil servant class III training is better than the class II civil servant training. It also shows that the value of the organizers criterion has different level of satisfactions. Overall, the quality of the training (according to the participants' opinion) was very good with a score of 92.50 for training class II and 95.20 for training class III. Furthermore, it is necessary to conduct research to determine the quality of the training each year by looking at the achievements of the participants. The >system testing obtained an accuracy of 100%, whichs implies that the system can be used to assess the quality of education and training appropriately.</p>

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Model Multi Criteria Decision Making with Fuzzy ANP Method for Performance Measurement Small Medium Enterprise (SME)

Cited by 6 publications

References 5 publications

Hybrid FAHP and TOPSIS to determine recommendation for improving SMEs facing Covid-19 pandemic

Hybrid FAHP and TOPSIS to determine recommendation for improving SMEs facing Covid-19 pandemic

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

Decision support system on quality assessment of the prospective civil servant’s education and training using fuzzy method

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