<p class="Default"><span lang="EN-US">This research describes the performance of maximum power point tracking as a solar collector of PV system integration for agriculture product drying system. The system comprises of solar collector, tracking PV array, the battery bank, the micro controller and the DC converter. This system is design to enhance the work of solar collector in drying process.. This design is hoped to be an appropriate system in order to ensure the maximum result by providing solar radiation energy. This paper shows the experiment data of the voltage and power response in positioning the PV to yield a maximum photovoltaic array output power of solar drying system device.</span></p>
The quality of electricity distribution in the distribution network is an important thing that must be considered. To maintain the quality of electrical energy, there are several parameters that must be considered in the distribution network, including voltage drop, power losses, power factor and other factors. One of the solutions used to improve the voltage drop and power factor is to install a capacitor bank in the distribution network. This paper will discuss the placement of capacitor banks using the fuzzy logic method with inputs in the form of voltage profiles, power losses and power flow calculations using ETAP 12.6.0 software. In the Rao feeder, the final voltage is 16.806 kV or has passed the standard set by PLN (-10% and +5%). The Rao feeder has a power loss of 0.242 MW and a power factor of 0.7815. Fuzzy logic method is used to determine the optimal location of capacitor placement. After the installation of the capacitor bank, the terminal voltage increases and the total power loss decreases, while the power factor increases. From the results obtained, PLN as a supplier of electrical energy can reduce power losses by placing and installing capacitor banks in the distribution network.
Stress is a response from within the body due to pressure in life that causes fear and anxiety. In previous studies, researchers only used 2 sensors, namely the Pressure sensor (MPX5500DP) and the Temperature Sensor (LM35). The purpose of this research is to develop measurement instrumentation from previous research. This study uses 3 sensors, namely the DS18B20 temperature sensor (oC), pulse sensor (bpm), and the Galvanic Skin Response (GSR) sensor. The method used is the Sugeno fuzzy logic method as parameter measurement and LCD as data display. Media intermediary data transmission using wi-fi ESP8266. The test results with the tool will be compared with the DASS 42 Questionnaire, which is one of the psychological stress measuring tools. From the results of the test tools and questionnaires, the percentage of the average level of conformity is 56%. Stres merupakan suatu respon dari dalam tubuh karena adanya tekanan dalam hidup yang menyebabkan ketakutan,dan kecemasan. Pada penelitian sebelumnya peneliti hanya menggunakan 2 sensor saja,yaitu sensor Tekanan (MPX5500DP) dan Sensor Suhu (LM35) alat yang dihasilkan kurang akurat. Adapun tujuan penelitian ini adalah untuk mengembangkan instrumentasi pengukuran dari penelitian sebelumnya. Penelitian ini menggunakan 3 sensor yaitu sensor suhu DS18B20 (oC), pulse sensor (bpm), dan sensor Galvanic Skin Response (GSR). Metode yang digunakan adalah metode fuzzy logic Sugeno sebagai pengukur parameter dan LCD sebagai tampilan data. Media perantara pengiriman data menggunakan wi-fi ESP8266. Hasil pengujian dengan alat akan dibandingkan dengan Kuesioner DASS 42 yaitu salah satu alat ukur stress psikolog. Dari hasil uji Alat dan kuesioner maka didapatkan persentase tingkat kesesuaian rata-rata yaitu sebesar 56%.
Penelitian ini dilaksanakan pada Bulan Januari- Febuari 2016 di Laboratorium Hatchery dan Teknologi Budidaya Program Studi Budidaya Perairan Fakultas Pertanian Universitas Malikussaleh. Adapun metode yang digunakan dalam penelitian ini adalah Rancangan Acak Lengkap (RAL) non faktorial dengan 5 perlakuan 3 kali ulangan A tanpa pupuk (kontrol) ; perlakuan B kultur Azolla sp dengan pupuk NPK 1gr/3 liter ; perlakuan C kultur Azolla sp dengan Pupuk TSP 1gr/3liter; perlakuan D kultur Azolla sp dengan Campuran (Urea, TSP dan NPK) 1gr/3liter dan perlakuan E Kultur Azolla sp dengan Pupuk Urea 1gr/3liter. Parameter yang diamati pada penelitian ini adalah kepadatan populasi Azolla sp dan parameter kualitas air. Hasil penelitian menunjukkan bahwa pemberian dosis pupuk yang berbeda memberi pengaruh terhadap pertumbuhan dan biomassa tanaman Azolla sp dimana Fhitung > Ftabel. Pupuk yang paling baik digunakan dalam kultur tanaman Azolla sp yaitu pupuk TSP, dimana dengan dosis 1 gr/3L air dapat memberi pertumbuhan yang tinggi dan perkembangan yang baik untuk tanaman Azolla sp.The research was conducted in January-February 2016 at Hatchery and Technology Laboratory Aquaculture Department, Faculty of Agriculture, Malikussaleh University. The method used in this study was completely randomized design (CRD) non factorial with 5 treatments 3 replications A without fertilizer (control); treatment B culture Azolla sp with NPK 1 g / 3 liter; culture Azolla sp C treatment with TSP1 fertilizer gr / 3 liter; Azolla sp treatment D culture with a mixture (Urea, TSP and NPK) 1 g / 3 liter and treatment E culture Azolla sp with Urea 1 g / 3 liter. The parameters observed in this study was the population density of Azolla sp, Azolla sp biomass and water quality parameters. The results showed fertilizered. with different dosages to influence the growth and biomass of Azolla sp plant where Fcount > F table. Fertilizer is best used in the culture of Azolla sp namely TSP fertilizer plant, where a dose of 1 g /3 L of water can give higher growth and good development for Azolla sp plant.
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