![]() ![]() Data on average temperature and humidity per day will be recorded and calculated to determine when the coffee cherries are ready for the next stage. The perfect drying temperature enables coffee cherries to achieve a moisture content of 12.55% within 14 days. Actuators use the fuzzy output results to control the temperature and humidity of the greenhouse to reach the ideal drying conditions. ![]() Temperature and humidity data in the greenhouse will be analyzed using a fuzzy algorithm. The Internet of Things is used to allow it to be monitored remotely in real-time. Based on these problems, the researchers made a Smart Greenhouse dryer using the Internet of Things Platform. The undried coffee cherries can damage the quality of coffee beans. This is because traditional farmers still use conventional methods for drying. One of Indonesia's lack of competitiveness in the international market is the low quality of coffee beans. In testing, it can be concluded that the MultilayerPerceptron method is better than other methods for the coffee bean classification process.Ĭoffee is a major commodity of the Indonesian plantation industry. The HCL color type has an accuracy of 65% split ratio 90:10 and LCH has an accuracy of 78% split ratio 90:10. Furthermore, the HSI color type has an accuracy of 42% split ratio 90:10. The YUV type has an accuracy of 58% split ratio 90:10. LAB has a 58% curation split ratio of 90:10. CMYK has an accuracy of 63% split ratio 90:10. HSV has an accuracy of 57% split ratio 90:10. From the results obtained, it shows that MultilayerPerceptron is better starting with RGB color with an accuracy of 38% split ratio 90:10. ![]() Therefore, this study aims to improve the performance of coffee bean quality classification using four machine learning methods and 7 color features. However, the results carried out in the study only had an accuracy value of up to 47%. In previous studies, coffee bean quality research has been carried out using the ANN method using color features. For the character of Mount Kelir Robusta Coffee, it has Brown sugar, Caramelly and chocholaty flavors.Coffee is one of Indonesia's foreign exchange earners and plays an important role in the development of the plantation industry. The results of the analysis of the Puslitkoka Testing Laboratory saw that the results of the coffee beans and soil samples sent were the majority of coffee beans based on physical quality tests that were in accordance with SNI standards. Robusta coffee began to be cultivated in this area in 1911, marked by historical evidence of the establishment of a coffee factory in Banaran. The Mount Kelir Robusta Coffee Region has an average rainfall of more than 2,000 mm/year, with an average of 3 dry months/year. The type of soil in the Gunung Kelir area, Semarang Regency, is Latosol soil which is suitable for Robusta coffee cultivation. The Robusta Coffee Area of Gunung Kelir, Semarang Regency (RGK) is produced from Robusta coffee plants grown at an altitude of 500 to 1200 m above sea level. The average air temperature is 20 – 27 ☌ with an air humidity of 82%. #KOPI KELIR ROBUSTA REGISTRATION#To achieve this, the farming community submitted an application for registration of the protection of Geographical Indications for Robusta Coffee in the Gunung Kelir area, Semarang Regency which covers four sub-districts, namely Jambu, Banyu Biru, Sumowono, and Bandungan Districts. ![]()
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