Kahve, petrolden sonra ticareti en çok yapılan ikinci emtiadır. Son yirmi yılda nitelikli kahve alanında önemli gelişmeler olmuştur. Bu gelişmelerle birlikte kahvenin tadı, çekirdeğin kusurları, üretim koşulları, sürdürülebilirlik koşulları gibi birçok konu tartışılagelmektedir. Bu çalışmada Kahve Kalitesi Enstitüsü (KKE) (CQI - Coffee Quality Institute) tarafından kabul edilen kahve kalitesi standartları ile kahveler arasında en iyi alternatifin bulunması hedeflenmiştir. KKE veri tabanında bulunan veri, ağ kazıma yöntemi ile Python 3.10.5 programı kullanılarak elde edilmiştir. Elde edilen veride aroma, tat profili, damakta kalıcılık, asitlik, gövde, tat dengesi, tutarlılık, temizlik, tatlılık nitelikleri olumlu yönde etkileyen ölçütler; 1. kategori kusur, 2. kategori kusur ve kavurma sonrası açık renk kalmış nitelikleri kahvenin kalitesini olumsuz yönde etkileyen ölçütlerdir. Alternatifler arasında en iyisinin seçimi için Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) kullanılmıştır. Ağırlıklandırma adımında hem entropi yöntemi hem de eşit ağırlıklandırma ele alınmış, olumlu ve olumsuz yönleri açıklanarak tartışılmıştır.
Alsalem, M. A., Zaidan, A. A., Zaidan, B. B., Hashim, M., Albahri, O. S., Albahri, A. S., ... & Mohammed, K. I. (2018). Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects. Journal of medical systems, 42, 1-36. google scholar
Aryza, S., & Ulandari, L. (2021). Analysis of technique for order preference by similarity to ideal solution in detecting coffee bean quality. google scholar
Chen, P. (2019). Effects of normalization on the entropy-based TOPSIS method. Expert Systems with Applications, 136, 33-41. google scholar
Chen, P. (2021). Effects of the entropy weight on TOPSIS. Expert Systems with Applications, 168, 114186. google scholar
Coffee Quality Institute Database. https://database.coffeeinstitute.org/coffees/arabica 01/05/2023 google scholar
Coffee Quality Institute Graders. Q ARABICA GRADERS. https://database.coffeeinstitute.org/users/graders/arabica 10/05/2023 google scholar
Barfod, M. B., Salling, K. B., & Leleur, S. (2011). Composite decision support by combining cost-benefit and multi-criteria decision analysis. Decision support systems, 51(1), 167-175. google scholar
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069. google scholar
Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media. google scholar
Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert systems with applications, 36(8), 11363-11368. google scholar
Borman, R. I., Megawaty, D. A., & Attohiroh, A. (2020). Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Biji Kopi Robusta Yang Bernilai Mutu Ekspor (Studi Kasus: PT. Indo Cafco Fajar Bulan Lampung). Fountain of Informatics Journal, 5(1), 14-20. google scholar
Do, T. N., Kumar, V., & Do, M. H. (2020). Prioritize the key parameters of Vietnamese coffee industries for sustainability. International Journal of Productivity and Performance Management, 69(6), 1153-1176. google scholar
Emovon, I., & Oghenenyerovwho, O. S. (2020). Application of MCDM method in material selection for optimal design: A review. Results in Materials, 7, 100115. google scholar
GitHub, (2023) ağ kazıma ve elde edilen verinin olduğu kütüphane. https://github.com/fatih-boyar/coffee-quality-data-CQI 23/07/2023 google scholar
Galik, A., Bqk, M., Balandynowicz-Panfil, K., & Cirella, G. T. (2022). Evaluating labour market flexibility using the TOPSIS method: Sustainable industrial relations. Sustainability, 14(1), 526. google scholar
Huang, J. (2008, September). Combining entropy weight and TOPSIS method for information system selection. In _2008 ieee conference on cybernetics and intelligent systems_ (pp. 1281-1284). IEEE. google scholar
Hutasoit, R. A., Solikhun, S., & Wanto, A. (2018). Analisa Pemilihan Barista dengan Menggunakan Metode TOPSIS (Studi Kasus: Mo Coffee). KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 2(1). google scholar
Hwang, C. L., & Masud, A. S. M. (2012). _Multiple objective decision making—methods and applications: a state-of-the-art survey_ (Vol. 164). Springer Science & Business Media. google scholar
Hwang, C. L., Yoon, K., (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191. google scholar
International Coffee Organization. Coffee Market Report-April 2023. https://www.icocoffee.org/documents/cy2022-23/cmr-0423-e.pdf 09/05/2023 google scholar
International Coffee Organization. Mission. https://www.ico.org/mission07_e.asp?section=About_Us 09/05/2023 google scholar
Jozi, S. A., Shafiee, M., MoradiMajd, N., & Saffarian, S. (2012). An integrated Shannon’s Entropy-TOPSIS methodology for environmental risk assessment of Helleh protected area in Iran. Environmental monitoring and assessment, 184, 6913-6922. google scholar
Kaynak, S., Altuntas, S., & Dereli, T. (2017). Comparing the innovation performance of EU candidate countries: an entropy-based TOPSIS approach. Economic research-Ekonomska istrazivanja, 30(1), 31-54. google scholar
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. _European journal of operational research_, _156_(2), 445-455. google scholar
Özgürler, Ş., Güneri, A.F., Gülsün, B. and Yılmaz, O. (2011) ‘Robot selection for a flexible manufacturing system with AHP and TOPSIS methods’, Proceedings of 15th International Research/Expert Conference on Trends in the Development of Machinery and Associated Technology, pp.333-336. google scholar
Pernalete, C. G., van Baten, J., Urbina, J. C., & Arevalo, J. F. (2015). A molecular reconstruction feed characterization and CAPE OPEN implementation strategy to develop a tool for modeling HDT reactors for light petroleum cuts. In Computer Aided Chemical Engineering (Vol. 37, pp. 359-364). Elsevier. google scholar
SCAA Cupping Protocols.http://www.scaa.org/PDF/resources/cupping-protocols.pdf 15/05/2023 google scholar
SCAA Defects Handbook.https://www.coffeestrategies.com/wp-content/uploads/2020/08/Green-Coffee-Defect-Handbook.pdf 16/05/202 google scholar
SCAA Specialty Coffee. https://sca.coffee/research/what-is-specialty-coffee 27/09/2023 google scholar
Shanker, S., Sharma, H., & Barve, A. (2022). Analysing the critical success factors and the risks associated with third-party logistics in the food supply chain: a case of coffee industry. Journal of Advances in Management Research, 19(2), 161-197. google scholar
Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423. google scholar
Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and computer modelling, 45(7-8), 801-813. google scholar
Siksnelyte-Butkiene, I., Zavadskas, E. K., & Streimikiene, D. (2020). Multi-criteria decision-making (MCDM) for the assessment of renewable energy technologies in a household: A review. Energies, 13(5), 1164. google scholar
Siregar, I. (2019, December). Supplier selection by using analytical hierarchy process (ahp) and techniques for order preference methods with similarities to ideal solutions (topsis). In Journal of Physics: Conference Series (Vol. 1339, No. 1, p. 012023). IOP Publishing. google scholar
Sun, L. Y., Miao, C. L., & Yang, L. (2017). Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method. Ecological indicators, 73, 554-558. google scholar
Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002) ‘The evaluation of airline service quality by fuzzy MCDM’, Tourism Management, Vol. 23, No. 2, pp.107-115. google scholar
Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert systems with applications, 36(5), 8980-8985. google scholar
Yadav, S. K., Joseph, D., & Jigeesh, N. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), 23-28. google scholar
TOPSIS Method Approach in Ranking Coffee Bean Quality
Coffee is the second-most traded commodity after oil. Quantifying the quality of coffee is a critical topic of research. Many aspects such as the taste of coffee, bean defects, production conditions, and sustainability conditions are considered for rating the quality. In this study, the best alternative method for quality standards accepted by Coffee Quality Institute (CQI) was discussed. The web scraping method and the Python 3.10.5 program was used to obtain the data in the CQI database. Aroma, taste profile, aftertaste, acidity, body, taste balance, stability, cleanliness, sweetness qualities were believed to positively affect quality. First-category defect, second-category defect, and its light color after roasting were considered to negatively affect coffee quality. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to select the best among the alternatives. In the weighting step, both the entropy method and equal weighting were used, and their positive and negative aspects were explained and discussed.
Alsalem, M. A., Zaidan, A. A., Zaidan, B. B., Hashim, M., Albahri, O. S., Albahri, A. S., ... & Mohammed, K. I. (2018). Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects. Journal of medical systems, 42, 1-36. google scholar
Aryza, S., & Ulandari, L. (2021). Analysis of technique for order preference by similarity to ideal solution in detecting coffee bean quality. google scholar
Chen, P. (2019). Effects of normalization on the entropy-based TOPSIS method. Expert Systems with Applications, 136, 33-41. google scholar
Chen, P. (2021). Effects of the entropy weight on TOPSIS. Expert Systems with Applications, 168, 114186. google scholar
Coffee Quality Institute Database. https://database.coffeeinstitute.org/coffees/arabica 01/05/2023 google scholar
Coffee Quality Institute Graders. Q ARABICA GRADERS. https://database.coffeeinstitute.org/users/graders/arabica 10/05/2023 google scholar
Barfod, M. B., Salling, K. B., & Leleur, S. (2011). Composite decision support by combining cost-benefit and multi-criteria decision analysis. Decision support systems, 51(1), 167-175. google scholar
Behzadian, M., Otaghsara, S. K., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with applications, 39(17), 13051-13069. google scholar
Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media. google scholar
Boran, F. E., Genç, S., Kurt, M., & Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert systems with applications, 36(8), 11363-11368. google scholar
Borman, R. I., Megawaty, D. A., & Attohiroh, A. (2020). Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Biji Kopi Robusta Yang Bernilai Mutu Ekspor (Studi Kasus: PT. Indo Cafco Fajar Bulan Lampung). Fountain of Informatics Journal, 5(1), 14-20. google scholar
Do, T. N., Kumar, V., & Do, M. H. (2020). Prioritize the key parameters of Vietnamese coffee industries for sustainability. International Journal of Productivity and Performance Management, 69(6), 1153-1176. google scholar
Emovon, I., & Oghenenyerovwho, O. S. (2020). Application of MCDM method in material selection for optimal design: A review. Results in Materials, 7, 100115. google scholar
GitHub, (2023) ağ kazıma ve elde edilen verinin olduğu kütüphane. https://github.com/fatih-boyar/coffee-quality-data-CQI 23/07/2023 google scholar
Galik, A., Bqk, M., Balandynowicz-Panfil, K., & Cirella, G. T. (2022). Evaluating labour market flexibility using the TOPSIS method: Sustainable industrial relations. Sustainability, 14(1), 526. google scholar
Huang, J. (2008, September). Combining entropy weight and TOPSIS method for information system selection. In _2008 ieee conference on cybernetics and intelligent systems_ (pp. 1281-1284). IEEE. google scholar
Hutasoit, R. A., Solikhun, S., & Wanto, A. (2018). Analisa Pemilihan Barista dengan Menggunakan Metode TOPSIS (Studi Kasus: Mo Coffee). KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 2(1). google scholar
Hwang, C. L., & Masud, A. S. M. (2012). _Multiple objective decision making—methods and applications: a state-of-the-art survey_ (Vol. 164). Springer Science & Business Media. google scholar
Hwang, C. L., Yoon, K., (1981). Methods for multiple attribute decision making. Multiple attribute decision making: methods and applications a state-of-the-art survey, 58-191. google scholar
International Coffee Organization. Coffee Market Report-April 2023. https://www.icocoffee.org/documents/cy2022-23/cmr-0423-e.pdf 09/05/2023 google scholar
International Coffee Organization. Mission. https://www.ico.org/mission07_e.asp?section=About_Us 09/05/2023 google scholar
Jozi, S. A., Shafiee, M., MoradiMajd, N., & Saffarian, S. (2012). An integrated Shannon’s Entropy-TOPSIS methodology for environmental risk assessment of Helleh protected area in Iran. Environmental monitoring and assessment, 184, 6913-6922. google scholar
Kaynak, S., Altuntas, S., & Dereli, T. (2017). Comparing the innovation performance of EU candidate countries: an entropy-based TOPSIS approach. Economic research-Ekonomska istrazivanja, 30(1), 31-54. google scholar
Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. _European journal of operational research_, _156_(2), 445-455. google scholar
Özgürler, Ş., Güneri, A.F., Gülsün, B. and Yılmaz, O. (2011) ‘Robot selection for a flexible manufacturing system with AHP and TOPSIS methods’, Proceedings of 15th International Research/Expert Conference on Trends in the Development of Machinery and Associated Technology, pp.333-336. google scholar
Pernalete, C. G., van Baten, J., Urbina, J. C., & Arevalo, J. F. (2015). A molecular reconstruction feed characterization and CAPE OPEN implementation strategy to develop a tool for modeling HDT reactors for light petroleum cuts. In Computer Aided Chemical Engineering (Vol. 37, pp. 359-364). Elsevier. google scholar
SCAA Cupping Protocols.http://www.scaa.org/PDF/resources/cupping-protocols.pdf 15/05/2023 google scholar
SCAA Defects Handbook.https://www.coffeestrategies.com/wp-content/uploads/2020/08/Green-Coffee-Defect-Handbook.pdf 16/05/202 google scholar
SCAA Specialty Coffee. https://sca.coffee/research/what-is-specialty-coffee 27/09/2023 google scholar
Shanker, S., Sharma, H., & Barve, A. (2022). Analysing the critical success factors and the risks associated with third-party logistics in the food supply chain: a case of coffee industry. Journal of Advances in Management Research, 19(2), 161-197. google scholar
Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423. google scholar
Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and computer modelling, 45(7-8), 801-813. google scholar
Siksnelyte-Butkiene, I., Zavadskas, E. K., & Streimikiene, D. (2020). Multi-criteria decision-making (MCDM) for the assessment of renewable energy technologies in a household: A review. Energies, 13(5), 1164. google scholar
Siregar, I. (2019, December). Supplier selection by using analytical hierarchy process (ahp) and techniques for order preference methods with similarities to ideal solutions (topsis). In Journal of Physics: Conference Series (Vol. 1339, No. 1, p. 012023). IOP Publishing. google scholar
Sun, L. Y., Miao, C. L., & Yang, L. (2017). Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method. Ecological indicators, 73, 554-558. google scholar
Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002) ‘The evaluation of airline service quality by fuzzy MCDM’, Tourism Management, Vol. 23, No. 2, pp.107-115. google scholar
Wang, T. C., & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert systems with applications, 36(5), 8980-8985. google scholar
Yadav, S. K., Joseph, D., & Jigeesh, N. (2018). A review on industrial applications of TOPSIS approach. International Journal of Services and Operations Management, 30(1), 23-28. google scholar
Boyar, F. (2024). Kahve Çekirdeği Kalitesi Sıralamasında TOPSIS Yöntemi Yaklaşımı. EKOIST Journal of Econometrics and Statistics(40), 46-62. https://doi.org/10.26650/ekoist.2024.40.1344234