Liku kalibrasi debit merupakan kurva yang menunjukkan hubungan antara tinggi muka air dan debit sungai sehingga dapat digunakan untuk memprediksi besarnya debit pada sungai tersebut. Tujuan penelitian ini adalah untuk mendapatkan persamaan liku kalibrasi debit di DAS Deli. Penelitian ini dilakukan dengan mengukur debit air sungai dan mengambil data tinggi muka air menggunakan alat water level logger dengan pengamatan minimal dua kali dalam seminggu. Debit air sungai pada lokasi penelitian memiliki nilai yang bervariasi yaitu 0,74 - 3,28 m3/detik dengan rata-rata 1,06 m3/detik. Penentuan persamaan liku kalibrasi debit menggunakan beberapa metode yaitu linier, polinomial, berpangkat, logaritmik, dan eksponensial. Hasil dari penelitian diperoleh bahwa persamaan dengan metode polinomial orde dua memiliki tingkat korelasi (r) dan RMSE yang terbaik dengan nilai r 0,986 dan nilai RMSE 0,011. Persamaan rating curve yang diperoleh adalah Q = 18,97(h)2 – 1,372(h) + 0,190.
A generic problem of distributed solar home systems (SHS) is the lifetime of the chemical storage battery. In this paper, a model of compressed-air energy storage (CAES) based SHS is developed and simulated to determine the size of the storage tank according to the required load and operating time. Industrial air motors and permanent magnet direct current generator specifications are used for simulation model. Other features include sizing of the storage tank and determining appropriate regulator settings to improve the system efficiency.
Abstrak: Penelitian ini dilakukan untuk menganalisis proses forecasting dalam menentukan tipe terbaik yang digunakan pada sistem peramalan (forecast). Pada penelitian ini data yang digunakan yaitu data IPM Provinsi Nusa Tengara Barat (NTB) tahun 2008-2018 untuk memprediksi data Indeks Pembangunan Manusia (IPM) tahun 2019. Penelitian ini menggunakan metode Artificial Intelligence Neuro Fuzzy yaitu Fuzzy Mamdani dan ANFIS Sugeno yang diterapkan pada Matlab. Adapun tipe yang diuji adalah Trimf, Trapmf, Gbellmf, Gaussmf, Gauss2mf, Sigmf, Dsigmf, Psigmf, dan Primf. Tipe tersebut bertujuan untuk melihat tingkat akurasi berdasarkan hasil error. Hasil peramalan terbaik didapatkan pada tipe Gauss2mf karena menghasilkan prediksi sebesar 69.5 dengan error sebesar 0.95947 dan MAD sebesar 0.530.354, MSE sebesar 1.570035, MAPE sebesar 0.049273. Abstract: This research was conducted to analyze the forecasting process in determining the best type used in the forecasting system. In this study the data used were the data of West Nusa Tenggara Province (HDI) HDI for the years 2008-2018 to predict the 2019 Human Development Index (HDI) data. This study uses Artificial Intelligence Neuro Fuzzy methods namely Fuzzy Mamdani and ANFIS Sugeno applied to Matlab . The types tested were Trimf, Trapmf, Gbellmf, Gaussmf, Gauss2mf, Sigmf, Dsigmf, Psigmf, and Primf. This type aims to see the level of accuracy based on the results of the error. The best forecasting results were obtained on the Gauss2mf type because it produced a prediction of 69.5 with an error of 0.95947 and MAD of 0.530.354, MSE of 1.570035, MAPE of 0.049273.
The problem of power factor in the industry is critical. This is due to the issue of low power factor that can make the vulnerability of industrial equipment damaged. This problem has been resolved in various ways, one of which is the Automatic Power Factor Correction, with the most popular device called capacitor bank. There are also many methods used, but several methods require certain calculations so the system can adapt to the new plant. In this study, researchers proposed a capacitor bank control system that can adapt to plants with different capacitor values without using any calculations by using an Artificial Neural Network with a closed-loop controller. The system is simulated using Simulink Matlab to know the performance with two testing scenarios. The first is changing the value of the power factor on the system and changing the value of the capacitor power at each bank, the second comparing it with the conventional methods. The results show that the system has been able to adapt to different capacitor power values and has a better performance than the conventional method in power factor oscillation due to the extreme power factor interference
This paper presents the research results on a small scale compressed air energy storage (SS-CAES) operated at its maximum efficiency value in the discharged phase. This study used two methods to find the maximum efficiency; Standard Perturb and Observe (Standard P&O), and Multiple Input Multiple Output Fuzzy Perturb and Observe (MIMO Fuzzy P&O). The essential ideas of this study are to operate SS-CAES in its maximum efficiency in specific loading power and to improve the performance of standard P&O method in achieving maximum efficiency and reduce the oscillation amplitude of the efficiency value as well. To do this, in this study, we use two devices, namely a motorized valve to ensure sufficient power required for the load and a boost converter whose duty cycle will be adjusted so that the system can operate at its maximum efficiency. The study was conducted using a simulation model and compared these two methods performance for the same loading case. The experimental results reveal that the addition of the MIMO Fuzzy algorithm can improve the performance of the Standard P&O method in accelerating maximum efficiency achievement and reducing oscillations when the system has reached the maximum operating points. The performance improvement on the maximum efficiency point tracking (MEPT) in SS-CAES operations, evidenced by the increase in the average efficiency value in the given loading scenario of about 1.22%. Besides, the application of MIMO Fuzzy P&O also impacts reducing the amplitude of speed oscillations in the steady-state area, which is about half of the amplitude of speed oscillations that occur with the application of the standard P&O method. This proposed method also shows better performance than the MEPT method used in previous studies in terms of accelerating maximum efficiency achievement.
The number of e-commerce companies in Indonesia has encouraged every company including Shopee to create a unique advertisement and can have a good influence on Shopee's corporate image. The research was conducted with the aim to determine the effect of Shake Shopee adverts with Cristiano Ronaldo on Shopee's corporate image. This research uses a quantitative approach with the research method used is descriptive. In this study the authors used survey research methods. The study was conducted by distributing pretest questionnaires to 30 respondents after being tested valid then proceed to the posttest test to 100 respondents who used the Shopee application. The theory used in this research is advertising and imagery. The data validity technique used is the classical regression assumption test, simple linear regression test, correlation analysis, coefficient of determination analysis, and t test. With the t test results show the t value is 9.592> from 1.984, and the results of the correlation test with a value of 0.696 which indicates that advertising and image variables have a strong correlation, so that in this study the results obtained indicate that the advertising function of Shake Shopee ads has an effect on image of Shopee company.Banyaknya perusahaan E-commerce di Indonesia menjadi dorongan setiap perusahaan termasuk Shopee untuk membuat iklan yang unik dan dapat membawa pengaruh baik pada citra perusahaan Shopee. Penelitian dilakukan dengan tujuan untuk mengetahui pengaruh iklan Goyang Shopee bersama Cristiano Ronaldo terhadap citra perusahaan Shopee. Penelitian ini menggunakan pendekatan kuantitatif dengan metode penelitian yang digunakan bersifat deskriptif. Dalam penelitian ini penulis menggunakan metode penelitian survey. Penelitian dilakukan dengan cara menyebarkan kuesioner pretest kepada 30 responden setelah teruji valid kemudian dilanjutkan ke uji posttest kepada 100 responden yang menggunakan aplikasi Shopee. Teori yang digunakan di penelitian ini adalah iklan dan citra. Teknik keabsahan data yang digunakan adalah uji asumsi regresi klasik, uji regresi linier sederhana, analisis korelasi, analisis koefisien determinasi, dan uji t. Dengan hasil uji t menunjukkan nilai t hitung adalah 9,592 > dari 1,984, dan dan hasil uji korelasi dengan nilai 0,696 yang menandakan variabel iklan dan citra memiliki korelasi yang kuat, sehingga dalam penelitian ini hasil yang didapat menunjukkan bahwa fungsi iklan dari iklan goyang Shopee berpengaruh pada citra dari perusahaan Shopee.
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