Analisis Kombinasi Metode Algoritma MFEP dan AHP Pada Pemilihan Bibit Unggul Kopi Robusta

Syaputra, Asep

doi:10.34010/komputika.v11i2.6719

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Therefore, a cherry harvest of 5,164 kg will produce 1,721 tons of green beans. This is in line with research conducted by Syaputra [10], which found that 1 ha of coffee plantation land can produce 2,000 kg of cherry coffee, which, after pulping with a pulper machine, will produce 800 kg of coffee beans.…”

Section: Coffee Productivitysupporting

confidence: 90%

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Anggoro,

Fadillah,

Prayoga

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The Geographical Indication Protection Society (MPIG) aims to maintain the uniqueness of coffee commodities in Temanggung Regency by implementing predetermined standardization. The purpose of this study is to analyze the farm performance of Robusta coffee based on geographical indication and evaluate the level of farmer adoption. The research was conducted using a case study method on coffee farmers who are members of MPIG in Candiroto district and an R/C ratio analysis to illustrate how high the benefits received by farmers are in terms of acceptance if they apply geographical indication SOP. The results show that the R/C ratio of farmers who apply geographical indication SOP obtained a value of 2.50. The level of farmer adoption of geographical indication SOP in the cultivation and harvesting stages is considered high, while in the post-harvest stage, only the dry processing process has a high adoption rate. Suggestions that can be given from this research are that MPIG, as an organization that introduces geographical indication SOP, should be more persuasive in providing education to farmers about the benefits they receive if they apply geographical indication SOP. SOPs that are not relevant for farmers should be adjusted so that the level of farmer participation and adoption becomes high.

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Section: Coffee Productivitysupporting

confidence: 90%

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Anggoro,

Fadillah,

Prayoga

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Namun kriteria yang digunakan harus sesuai dengan topik permasalahannya. Sehingga penelitian menggunakan teknik multikriteria cenderung perlu untuk dikaji terus dengan permasalahan yang berbeda [2] [3].…”

Section: Pendahuluanunclassified

Implementasi dan Analisis Metode MOORA dan SMART pada Pemilihan Platform Jual Beli Online menggunakan Decision Support System

Ramadhan

2023

Komputika

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Online buying and selling transactions have become a necessity and routine for generation Z in the era of technology 4.0. This phenomenon is an effect caused by the existence of the internet. The internet innovates for software developers to create communication applications without meeting face-to-face. Due to the rapid development of the internet, many online buying and selling platforms have emerged and are used by online shopping activists, especially generation Z. Of course, the various trading platforms have differences in appearance and usability. So it is necessary to research selecting the ideal platform using the Decision Support System as the data processing system. While the methods used are the MOORA and SMART methods, the two approaches will analyze the differences in the calculation results and the advantages of each technique. The results of the MOORA method are inversely proportional to the SMART method, but the difference is only that the difference in the final scores is not that great. Hence, the two approaches are ideal for a Decision Support System.

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“…Disisi lain, Supiyandi et al menggunakan model pendukung keputusan Simple Multi Attribute Rating Technique (SMART) dalam pemilihan biji kopi arabika terbaik menggunakan kriteria aroma, warna, rasa, kadar kotoran, harga, [7]. Lebih jauh, Syaputra menggunakan model pendukung keputusan Analytical Hierarchy Process (AHP) dalam pemilihan bibit unggul kopi robusta berdasarkan kriteria pertumbuhan bibit, daya tahan saat dipindah, kecepatan pertumbuhan dan umur bibit [8]. Hal ini berarti bahwa meskipun tujuan penggunaan model pendukung keputusan sama, namun luaran atau hasil akan menunjukkan perbedaan yang signifikan ketika kriteria dan alternatif yang digunakan berbeda.…”

Section: Pendahuluanunclassified

Penerapan Metode Evaluation based on Distance from Average Solution (EDAS) dalam Optimalisasi Layanan dan Pemasaran Coffeeshop

Singgalen

2023

JoSYC

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Business owners of coffee shops that fall under the Micro, Small, and Medium Enterprises (MSMEs) employ marketing methods to attract more clients to satisfy the demands and preferences of coffee enthusiasts. However, consumer purchasing behavior demonstrates the difficulty in evaluating marketing performance. In light of this, this study employs the Distance from Average Solution Evaluation Method (EDAS). Meanwhile, coffee shop business brands observed and used as alternatives in this study are Coffee Tanem, 1915 Koffie-Huis, Friends of Coffee Salatiga, Dusk Koffie Salatiga, and Street Side Coffee Salatiga. The results of this study show that the EDAS method can be used to optimize coffee shop business services and marketing as a strategic step in strengthening and improving the performance of the coffee shop business or business. In the context of testing the EDAS decision model, each alternative is assigned a random code (A1-A5). Coffee varieties (C1), aroma and roasted level (C2), serving technique variants (C3), beverage prices (C4), and coffeeshop locations (C5) are often employed as criteria, with categories C1–C3 representing advantages, and C4–C5 representing expenses. Based on the EDAS method's calculation results, it can be seen that the top-ranking coffee shops are those that offer a variety of coffee bean varieties (robusta and arabica), various aromas, and roasted levels (light, medium, dark), various serving methods using espresso machines and manual brew, affordable drink prices, and strategically located coffee shops with enough parking. Thus, it is advised that coffee shop business experts assist in improving capital capabilities and business performance and optimize marketing mix components in STP (Segmenting, Targeting, Positioning) marketing strategies to increase trust, sales volume, consumer satisfaction, and loyalty.

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Analisis Kombinasi Metode Algoritma MFEP dan AHP Pada Pemilihan Bibit Unggul Kopi Robusta

Cited by 5 publications

References 12 publications

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Implementasi dan Analisis Metode MOORA dan SMART pada Pemilihan Platform Jual Beli Online menggunakan Decision Support System

Penerapan Metode Evaluation based on Distance from Average Solution (EDAS) dalam Optimalisasi Layanan dan Pemasaran Coffeeshop

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