Abstract:Abstract: The spread of the covid-19 virus that has occurred since the beginning of 2020 has prevented people from gathering. One of the impacts on the world of education is the enforcement of online lectures. By using several…
everal e-learning applications, including Classroom and Google Meet, resulted in changes in student interest in learning. Online lectures that have been running for two semesters and produce students score data can provide knowledge of student learning interests with the help of data mining rough sets and the Rosetta application which produce Rule that can be seen from the patterns of student interest in learning during online lectures, where student interest in learning becomes better for subjects that have subject matter for counting.
Keywords: data mining; interest in learning; online lectures; rough set; rough set
Abstrak: Menyebarnya virus covid-19 yang terjadi sejak awal tahun 2020 mengakibatkan pelarangan berkumpul/berkerumun, salah satu dampak pada dunia pendidikan adalah diberlakukannya perkuliahan online/e-learning. Beberapa aplikasi e-learning yang di gunakan adalah classroom dan googlemeet, hal ini tentu mengakibatkan perubahan minat belajar terhadap mahasiswa. Perubahan tersebut terekam dalam nilai dari perkuliahan online yang telah berjalan selama dua semester yang mana dapat diekstrak menjadi pengetahuan dengan bantuan data mining rough set dan aplikasi rosetta. Dengan membaca rule yang di hasilkan oleh rough set maka dapat dilihat pola dari minat belajar mahasiswa selama perkuliahan online, yang mana minat belajar mahasiswa terbagi menjadi lebih baik untuk matakuliah yang memiliki materi hitungan dan sebaliknya untuk matakuliah dengan materi teori.
Kata kunci: data mining; minat belajar; perkuliahan online; rosseta; rough set;
Abstract:Tourism is one of the most important factors for the revenue of an area. To attract the interest of tourists takes some supporting factors, one of which is the hotel or the guesthouse. In the process of prediction of tourists…
rists visit, required data the number of tourists staying in order to predict for the next time. The prediction method used in this system is a method of Backpropagation Neural Network based on time series data forecasting component variansi random or random process beginning with autocorrelation for determination of input variables. Method of Backpropagation itself is known quite well used in the forecasting of time series data. The result of the method of Backpropagation is a number of predictions that tourists visit can be a reference for related officials in taking decisions for the period ahead.
Abstract:Reading skills are not something that can develop naturally like language development. However, in the development of reading which starts from the beginning of the development of this skill, it is necessary to carry out…
a systematic planning process, unlike language development. The systematic development in question is a planned development like a lesson. The purpose of this study was to analyze the factors that cause dyslexia students' early reading difficulties and efforts to overcome them. This research method uses a qualitative research method with a case study approach. Difficulty reading at the beginning of dyslexic students is the factor of students who have limitations and experience slow learning which can be called dyslexia, namely a person's ability to recognize letters with evidence from the results of psychological tests. reading difficulties caused by a person's ability to recognize letters.
Abstract:The purpose of this study is to identify the factors that lead to fraud in a commercial entity. The company that manufactures food, is the subject of this study. You will undoubtedly discover fraud done by connected parties…
ies when carrying out producing operations until sales. The owners and staff of production, sales, and delivery companies were observed, and interviews with them were conducted as major data sources for this study. This study provides evidence of fraud. The company should take early preventative measures to avoid risks (risks that are not anticipated by the company) from emerging. And with it, perhaps, the use of fraud risk management will help the business reduce current fraud. Implementing fraud risk management involves a number of processes, beginning with an analysis of the internal environment of the corporate organization, followed by the identification of the hazards (risks) that frequently occur so that risk identification and risk mapping may be done. The final point is how to control those risks. Overall, Wanda Putra Kencana's risk management has been fairly effective; the company has implemented physical control, monitoring, and enforcement, as well as rewards and penalties.