One of the important things to do an electric power system operation is load forecasting. Load forecasting consists of short-term forecasting and short-term forecasting. The very short term load forecasting are required for regulating electrical energy generation, maintenance arrangements and regulating the labor involved. This forecasting is done to decide which plant to operate. The capacity of the plant to be operated adjusts to the load plan to be supplied the next day. The very short-term load forecasting is predicting electrical loads with time intervals every 30 minutes for the next day. In this study using Interval Type-2 Fuzzy Inference System (IT-2FIS) because it delivers a high flexibility that can be developed using other methods (hybrid). Laying out the footprint of uncertainty (FOU) membership function of the Interval Type-2 Fuzzy Inference System (IT-2FIS). This method has been applied for short- term load forecasting and will be employed for very short-term forecasting. In very short-term load forecasting IT-2 FIS has Mean Average Percentage Error (MAPE) arround 0,729%.
BLDC motor applications used in various forms in instrumentation, robotics, household, and transportation. One application of transportation equipment used as a propeller of electric bicycle vehicles. The value of the bicycle vehicle adjusted to the speed set, the amount that has determined. The purpose used in this study is to improve the efficiency of the regulation of BLDC motors on electric bicycles. Indicators of increasing performance are increasingly steady-state errors, and transient response required. The method used in this research is to do mathematical modeling in the form of transfer and optimization function equations. The model used is the model with the structure of the transfer function, while the optimization method used in this study is the Ziegler-Nichols method and firefly algorithm. The firefly algorithm is used in this study to obtain optimal Kp, Ki, and Kd values. The results showed that the firefly algorithm achieved better performance compared to the Ziegler-Nichols method.
Jamur tiram adalah salah satu jenis sayuran dengan gizi yang baik. Sebagian masyarakat Indonesia sudah mengkonsumsi jamur dari dulu, dari jamur tiram, jamur merang, jamur payung, atau jenis jamur yang lainnya. Dikarenakan akhir-akhir ini minat masyarakat terhadap konsumsi jamur meningkat, menjadikan banyak orang yang mencoba untuk menekuni bisnis budidaya jamur. Untuk mendapatkan panen dari budidaya secara maksimal, di butuhkan semacam alat yang bisa mengetahui dan mengontrol suhu beserta kelembaban udaranya secara teliti, dan presisi. Pada pembuatan alat ini, peneliti akan menggunakan sensor DHT11 sebagai sensor kelembaban untuk inputan data yang akan diproses di mikrokontroller arduino. Semoga alat pengontrol kelembaban udara ini bermanfaat bagi pelaku budidaya jamur dan yang lain, serta tidak menutup kemungkinan akan dilakukan pengembangan lebih nantinya oleh penulis maupun pihak lain
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