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Journal : Jurnal Matematika dan Sains (JMS)

EVALUASI METODE PEMBELAJARAN DIMASA PANDEMI MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Ayu Rohmawati; Fitroh Resmi
Jurnal Matematika dan Sains (JMS) Vol. 1 No. 2 (2021): Jurnal Matematika dan Sains (JMS)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55273/jms.v1i2.120

Abstract

E-learning is a learning media that is being used 100% in various universities. Because it is still new, elearning needs to be evaluated to make it even better. The purpose of this study is to evaluate e-learning tofind out how much the method can be accepted by students. This study uses the AHP method because thissystem is able to analyze using a number of criteria in the selection of practical courses. The method is doneby comparing the matrix of a number of criteria from the results of student questionnaire forms. Theresults show that students still prefer face-to-face methods rather than e-learning because face-to-face materialis more easily absorbed and interactions with lecturers are more interwoven than using e-learning.Keywords : e-learning, analytical hierarchy process, face to face
PENENTUAN BREAK EVEN POINT MELALUI REGRESI DAN NEWTON RAPHSON Fitroh Resmi; Aris Alfan; Nihaya Alivia Coraima Dewi
Jurnal Matematika dan Sains (JMS) Vol. 3 No. 1 (2023): Jurnal Matematika dan Sains (JMS)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55273/jms.v3i1.210

Abstract

Determining Break Even Point (BEP) in a production is an important thing to do. BEP analysis is used as a basis for profit planning. By knowing the Break Even Point (BEP), management can determine the amount of production or sales that must be made according to the profit target to be achieved. The research method used is literature review (literature study). Data collection techniques using secondary data taken from the Kaggle site. Data analysis uses descriptive statistics with the help of the python program. In certain cases, the production costs or selling cost is not a linear function. So it is necessary to form a mathematical equation through regression. The model is evaluated using MAE, MSE and R2. Determination of BEP is done by forming the equation of production costs and selling costs which are then solved by the Newton Raphson method. The results of this study are the regression method and Newton raphson can be used as an alternative in determining the BEP for cases that are not linear.