Browsing by Author "Defrianto, Defrianto"
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Item ANALISIS FRAKTAL CURAH HUJAN BULANAN KOTA PEKANBARU DENGAN METODE EKSPONEN HURST(2021-08) Seprina, Yusi; Defrianto, DefriantoIn this study, a monthly rainfall fractal analysis of Pekanbaru City was conducted from the year of 2016 to 2020. This analysis uses the Hurst Exponent method (H) and obtained the Fractal Dimension value (D) from Pekanbaru City rainfall data. The relationship of the Hurst Exponent with the Fractal Dimension is D = 2 – H. The value of the Hurst Exponent was derived from the logR/S slope regression value with the log(n). The results of this research can be used for the classification of monthly precipitation time runtun data: random, anti - persistence, persistence. Fractal Dimension Value is highly dependent on the value of Hurst Exponent. The results of this study based on the value of Hurst Exponent shows that the pattern of Pekanbaru City rainfall data is persistence and based on fractal dimension value, Pekanbaru City rainfall pattern from year to year is increasingly irregular. This is because the Fractal value is farther away from the value of 1Item ANALISIS POLA TEMPERATUR PEKANBARU DENGAN MENGGUNAKAN FRAKTAL DAN JARINGAN SARAF TIRUAN BERDASARKAN DATA TEMPERATUR BULANAN(Elfitra, 2023-07) Razzaq, Reynal Nur; Defrianto, DefriantoClimate and global warming play a crucial role in the lives of living organisms on Earth. Temperature, varying in each region, is a vital aspect in climate observation. This study analyzed temperature fluctuations in Pekanbaru from 2016 to 2022 using fractal analysis and Backpropagation artificial neural networks. The research findings revealed that temperature prediction with Backpropagation artificial neural networks was quite accurate. However, errors during testing or validation could impact the comparison with the target values. Fractal analysis indicated a persistence tendency in temperature fluctuations in Pekanbaru, with a Hurst exponent of 0.7993 and a fractal dimension of 1.2007. Nevertheless, temperature fluctuations were also influenced by other factors, leading to varying levels of stability over certain periods. Thus, temperature in Pekanbaru can be considered a complex system with diverse fluctuation patterns and varying levels of complexity.Item INTERAKSI MEDAN MAGNET TEHADAR ION DIDALAM ALIRAN LARUTAN NaCl(Elfitra, 2022-01) Febry, Gita Lia; Defrianto, DefriantoThe interaction of magnetic fields with ions in the flow of NaCl solution has been determined. The value of pressure and flow velocity was determined based on Bernoulli's law formula. The results of the test with two experiments, namely the first experiment with a container height of 1 meter and the second experiment with a container height of 1.5 meters show the potential difference and resistance values of the known mass concentration of NaCl namely 0 gr/L to 500 gr/L. The potential difference value with the mass concentration of NaCl 0 gr/L in the first experiment is 7.2 mV smaller than that for the second experiment, which is 22.1 mV, the resistance value in the first experiment is 25.80 k, greater than that for the second experiment, which is 20.8 k. The value of this potential difference is called the Hall voltage (VH). where the greater the potential difference, the flow velocity obtained is inversely proportional to the resistance where the greater the resistance, the smaller the flow velocity obtained. This result is directly proportional to the current flowing. The result also shows that for the first experiment's the flow velocity value (V1) is 4.42 m/s and the pressure value (P1) is 9.8 Kpa, while for the second experiment's the flow velocity (V2) is 5.42 m/s. The pressure value (P2) is 14.7Kpa. Measurement results found that the charged ions in the magnetic fields deflected due to the influence of the Lorentz force.Item KORELASI PM10 TERHADAP PARAMETER CUACA MENGGUNAKAN MODEL REGRESI MELALUI PENDEKATAN DERET FOURIER(Elfitra, 2022-01) Amatullah, Sakinah; Defrianto, DefriantoAir pollution, especially PM10 in Pekanbaru City is a familiar thing. The large population over tim e causes an increase in pollution that can cause diseases in humans. Along with the development of technology, research on the relationship between PM10 and weather parameters using a Fourier series regression approach has been conducted. In this approach Matlab-based Fast Fourier Transform algorithm that converts signals in the time domain to frequency signal was utilized. This study aims to determine the PM10 cycle (frequency and period), pattern as a function of month. The relationship or correlation of PM10 to weather parameters was determined using Fourier series regression approach for the first 2 and 8 terms. The results show that the frequency of monthly PM10 cycles in Pekanbaru City from 2014 to 2019 using the FFT algorithm method, for the three selected frequencies, namely 0.0169, 0.0508 and 0.0847 cycles/month, correspond to the period of 59.00, 19,67 and 11.80 months/cycle, respectively. PM10 correlation with weather parameters such as rainfall, humidity and temperature is periodic, so this research can use Fourier series. The 8-term Fourier series regression is much better than that for 2-term Fourier series regression. The next research is more accurate in calculating the PM10 cycle and it’s correlation with weather parameters using more extensive data until the end of the last year.Item MENENTUKAN DOSIS EFEKTIF DAN VOLUME KETIDAKNORMALAN JARINGAN NASOFARING DENGAN METODE AKTIF KONTUR MENGGUNAKAN KOMPUTASI(Elfitra, 2023-06) Lativa, Dinia; Defrianto, Defrianto; Meyzia, BungaThe purpose of this study is to determine the output dose and to interprete the image recordings on nasopharynx tissue using CT-Scan, analyze the output dose for finding the magnitude of the effective dose and determine abnormal tissue volume nasopharynx by active contour segmentation method. This research is divided into three stage, the first is a survey of hospital. The second is a survey of requirements in retrieving the resulting image data medical patients. This study uses image data on a radiodiagnostic device CT Scan. This collection is carried out at the Radiology and Radiodiagnostic Installation Semen Padang Hospital, Kecamatan Pauh, Padang City, West Sumatra. Third stage is a medical image data processing using the PHP programming language at Computational Biophysics Laboratory. Result of This CT scan is in the form of an image that can identify the location of the tumor or cancer, size, depth and volume. The results require the effective dose by viewing the dose report from scanning using numerical methods. To start programming, this requires data input in the form of an image from the CT scan of the suspected patient experiencing abnormalities in the nasopharynx which will be evaluated gradually using the active contour method. The output dose can be viewed on the computer radiologist monitoring. The output dose data are in the form of CTDIvol, DLP, scan type, size neck phantom. The output dose data value for each patient is different, this is caused by different disease variables. The largest volume is found in EL patients who is 51 years old by 390 pixels. The smallest volume is found in AR patients who is 58 year old by 160 Pixels. The value of the effective dose for each patient depends on the type and position of abnormal parts of the nasopharynx. This factor is caused by different CTDIvol and DLP dose values and their empirical weight factor values at the neck part is determined by 0,0059 mSv. mGy−1.cm−1, for each age patient over 15 years old.Item MODEL PEMBENTUKAN FENOMEA LAYANGAN PADA GELOMBANG DUA DIMENSI(Elfitra, 2022-01) Safariayah, Dyah Tri; Defrianto, DefriantoResearch has been carried out to model the formation of the beats phenomenon on twodimensional waves using the finite element method of computation. The beats formation modeling is carried out using a PC (personal computer) that has been installed with Matlab R2016a application. The beats is modeled using a circular domain bounded by a barrier with shape triangle and square in the middle of the circle. Each domain is assigned the same frequency, for the first frequency (f1) used is 150 Hz, and 450 Hz. For the second frequency (f2) is 155 Hz and 455 Hz. The x values used are x=4 and x=8, while the y values used are y=14. Based on all the research results, the beats will form a pattern of valleys and wave crests. The maximum amplitudo given a barrier with shape triangle is 0,5. And the maximum amplitudo given barrier with square is 0,35.Item PENENTUAN KARAKTERISTIK SUARA MANUSIA DENGAN IMPLEMENTASI FAST FOURIER TRANSFORM (FFT)(perpustakaan UR, 2021-09) Purba, Irawana; Defrianto, DefriantoThe security verification process uses many body biometrics, one of which is the human voice. In this study, an analysis of the human voice spectrum has been carried out using the implementation of thealgorithm Fast Fourier Transform based on MATLAB R2017b. This study aims to determine the characteristics of human voice patterns based on gender and age. Voice recording is done using a laptop and Audacity software and then saved in wav format. The sound spectrum parameters to be determined are amplitude, frequency, and magnitude. Sampling was done by recording the voices of children 8-9 years old and adults 22-23 years old with the pronunciation of the letter A in two seconds and the pronunciation of A using the tone do re mi fa so la si do. The results showed . The average amplitude and magnitude of male voices is greater than that of female voices. With increasing age, the average sound frequency will decrease, based on gender in boys, pronunciation of A with a tempo of 2 seconds, 224.66 Hz, girls, 317.05 Hz, In adult men, 214.38 Hz and in adult women, 250.51 Hz. pronunciation A using the tone do re mi fa so la si do obtained the average frequency in boys is 515.73 Hz, girls is 718.7 HZ, adult men are 462.65 Hz, and adult women have an average frequency of 699.41 Hz The average male voice is lower than the female voice.Item PERBANDINGAN NILAI KOEFISIEN ABSORPSI BUNYI PADA DINDING AKUSTIK PELEPAH KELAPA SAWIT(Elfitra, 2023-01) Ahlunnazah, Muhammad; Defrianto, DefriantoNoise is a problem that often occurs in the community, especially those living near factories. This research was conducted to reduce noise pollution by using acoustic walls made from palm fronds. This study used the impedance tube method with two microphones. The acoustic wall sample uses palm fronds mixed with gypsum which has a mass of 0.1 kg of palm fronds and 1 kg of gypsum. The frequencies used are 125 Hz, 250 Hz, 500 Hz, 1000 Hz and 2000 Hz which will be generated from the Signal Generator and will be received by the Sound Level Meter based on the Windows Soundcard Oscilloscope application. The results of this study show that the sound absorption coefficient is the best at a frequency of 250 Hz to 1000 Hz. In this study, it produced a good absorption coefficient value used as a sound absorbing material.Item PREDIKSI CURAH HUJAN DI KOTA PEKANBARU MENGGUNAKAN METODE JARINGAN SARAF TIRUAN PROPAGASI BALIK(Elfitra, 2022-04) Arpyanti, Nisa; Defrianto, DefriantoPekanbaru City is a city with a tropical climate with a minimum air temperature of20.2ºC-23.0ºC and a maximum of 34.1ºC-35.6ºC and precipitation of 38.6- 435.0mm/year with the average rainy season from September until April. A prediction of precipitation is required to avoid the impact caused by the high precipitation. This research aims to predict the precipitation period of Pekanbaru City from 2016 until 2020 using the Back Propagation Neural Network method. The data evaluated in monthly data such as precipitation, wind speed, air temperature, humidity, air pressure, and duration of sunlight. This method uses the Matlab R2018a program for programming data and Microsoft Excel for evaluating data and grouping data respectively. The architecture used is composed of 5 input layers using the logsig activation function, 5 hidden layers using the logsig activation function, and 1 output layer using the purelin function. This study divides the data into two parts, i.e., from 2016 until 2019 as training data and from 2020 as a test. The resultsfor the CGB train network training produced the smallest MSE value of 0.00015336 and the network testing produced the best precipitation prediction in February with an error of 0.99736598% where the precipitation was 163.63201mm and the precipitation data was BMKG 162mm.Item PREDIKSI PERIODE CURAH HUJAN DI KOTA PEKANBARU MENGGUNAKAN METODE FAST FOURIER TRANSFORM(Elfitra, 2022-01) Khasana, Kartika Nur; Defrianto, DefriantoIndonesia is a country with a tropical climate so the region has a fairly high rainfall. In this study, predictions of the rainfall period for Pekanbaru City were made from 2016-2020. This study uses the Fast Fourier Transform method with the data used is monthly rainfall data with a time span of 2016-2020. The result of the FFT program is a graph that relates the month, frequency, and period to the rainfall and the rainfall function to the month. The graphs obtained are 4 frequencies, namely 0.016949 cycles/month, 0.050847 cycles/month, 0.084746 cycles/month, and 0.169492 cycles/month, which correspond to the 4 periods obtained, namely 5.90, 11.80, 19.67, 59.00. The results of this study indicate that the highest rainfall occurred in November 2016 in the 2016-2020 period