FP Growth algorithm is widely used to analyze patterns from a huge amount of data with (frequent) repeated items. The objective of this research is to analyze playing pattern a badminton player, one of a popular sport in Indonesia. The data set was generated from a technical stroke during the game. The model used in this study was Jonathan Christie a top Indonesian badminton player. The method of data collection was done by dividing the playing field into various areas of the game. Observations were made by using the software, to calculate and classify the types of stroke that carried out by the athlete. The result of this research; the tactical approach of Jonathan Christie during this match was described. The data obtained would be very useful for the coach to improve the athlete’s performance. Another advantage obtained was the analysis of the athlete’s performance can be done with a quantitative approach so that it can enrich the current methods. As the conclusion, the FP Growth algorithms were able to describe the game pattern of a badminton athlete, JC by using PHP and MySQL. Sport science has become a necessity to develop to increase athletes’ competitiveness.
Knowledge Discovery in Data Base (KDD) is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from data (base). FP-growth widely used to analyze data pattern from amount huge of data with frequent repeated items. In this research, this algorithm used to analyze in a sport activity, badminton. Specifically, the algorithm use to identify and considering frequent item set from particular technical stroke during the game. Finally, sport science is a must for Indonesia to win major tournament. This is our concern in this research.
This research’s aim is to analyze weather elements that affect marine transportation activities at Tanjung Perak Port. The data used in this study is secondary data obtained from Meteorology, Climatology and Geophysics Agency of the Republic of Indonesia. The data used is weather element record from the meteorological station in Perak II Surabaya for the 2017-2021 period which includes variables of sunlight exposure, precipitation, humidity, wind direction, air pressure, wind speed, and air temperature. The method used is the Principal Component Analysis method. Based on the test, it is found that all weather variables can be analyzed using the Principal Component Analysis Method. The weather element variables formed 2 components which have Initial Eigenvalues 1. The first component consists of Air humidity, Precipitation, Sunlight exposure, and Air Pressure. The second component consists of Air Temperature, Wind Direction, and Wind Speed. Based on the two components formed, the first component is the most dominant component element that affects marine transportation activities at Tanjung Perak Port for the 2017-2021 period with Initial Eigenvalues of 3,681. And air pressure is the most dominant weather element with the loading value based on the Principal Component Analysis method is 0,867.
Deuterium merupakan salah satu isotop hidrogen yang memiliki satu proton dan neutron didalam inti dan satu elektron dikulit atom. Persamaan schrodinger atom deuterium ditinjau dalam koordinat bola untuk memproleh penyelesaian fungsi gelombang. Penelitian ini bertujuan untuk menentukan fungsi gelombang bagian sudut untuk atom deuterium dan memvisualisasikan kebergantungan rapat peluang posisi elektron terhadap sudut pada atom dengan Matlab. Penyelesaian fungsi gelombang sudut diperoleh dengan memisahkan persamaan schrodingger kedalam fungsi bagian radial dan bagian sudut sehingga diperoleh penyelesaian persamaan schrodingger orde dua bagian sudut yang memiliki solusi Polinomial Legendre jenis pertama serta melakukan visualisasi mengunakan Matlab. Hasil analisis menunjukan kebergantungan rapat peluang posisi elektron hanya dipengaruhi oleh bagian sudut zenithal dan tidak dipengaruhi oleh bagian sudut azimuthal.
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