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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INFOKUM
N. PRIYA DHARSHINNI
Universitas Prima Indonesia
Computer Science & IT Engineering

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Moodle Web-Based Learning Constraints toward Student Learning Interest Using C4.5 Algorithm during Covid-19 Pandemic N. PRIYA DHARSHINNI; Aisyah Hikmasari Sitepu; Rezza Youan Syuhada; Damanik Barasa; Andy Christanto Wijaya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i1.5301

Abstract

The Learning System during the Covid-19 pandemic shifted from offline learning to online learning which made many campuses use various E-Learning platforms. However, most campuses use Moodle Web-Based Learning because it provides many features that can support lecturers and students in the online learning process and can be accessed via a laptop or smartphone. The problem is, some students experience constraints in following this learning model that affects the ups and downs of student interest in learning, so it is necessary to find the obstacle factors that hinder students during Moodle Web-Based Learning. The C4.5 algorithm generates a decision tree that can be used to predict good results and provide accurate information. The purpose of this study was to find the relationship between the contraints experienced by students while following the Moodle Web-Based Learning model toward students' interest in learning using the C4.5 algorithm. The results showed the main contraint that affects the decrease in student learning interest is influenced by the learning features used by lecturers at a time when online learning is incomplete, network quality is not good, students consider Moodle Web-Based Learning less interesting while the increasing interest in student learning is influenced by the learning features used by lecturers at the time of online learning is very complete , good network quality, students use laptops or computers in following moodle Web-Based Learning and students find Moodle Web-Based Learning interesting.
Design of Simulation Definite Integral Application learning Using Trapezoid Method based on VB.Net N. PRIYA DHARSHINNI; Amir Saleh; Fadhillah Azmi; I Fawwaz
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.427 KB) | DOI: 10.31289/jite.v4i1.3880

Abstract

The definite integral is one of the subjects that is difficult for students to understand because the process of calculating definite integral of functions is quite complicated and long because it requires mastery of some integrating rules so an interactive learning simulation application is needed to make it easier for students to calculate definite integral of functions and the depiction of the area the curve. One method for calculating definite integrals is the trapezoid method. The trapezoid method works by dividing the boundary into 2 intervals namely x = x0 to x = x1. Simulation media application learning will be designed with the VB.Net programming language. This simulation media learning starts with reading and checking data input. The process is continued by displaying the depiction of the input curve and ending with calculating the area of the curve. Simulation media learning provides a facility to store the input data, the results of the calculation of the area and the image of the curve function in the image format of * .bmp. In this media, the media and material expert’s the results of the average are produced by 88.68% included into media category is very valid media and the results of pre-test and post-test trials showed an increase with an average value of 48.3 for pre-test and 87 for the post-test of the passing grade requirement of 70.Keywords: Definite Integral, Trapezoid Method,VB.Net, Media Validation.
Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm N. PRIYA DHARSHINNI
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4316

Abstract

Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and  material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding  the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y  with a confidence value of 76%.
Comparison of Offline-Online-Blended Learning Models Using Agglomerative Hierarchical Clustering N. Priya Dharshinni; Darwis Darwis; Toni Toni; Ricki Ricki; Novitasari Novitasari; Putri Putri
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.059 KB)

Abstract

The pandemic has resulted in changes learning models over the last 3 years. Offline learning models in schools have changed to online learning due to the covid-19 pandemic and after the end of the covid-19 pandemic, many schools have implemented the blended learning model. The problem faced by the school is that it is unable to determine which learning model is the most effective to develop better learning methods for students. The purpose of this study was to compare offline, online, and blended learning models to determine effective learning methods based on student subject grades using agglomerative hierarchical clustering algorithms. The results of the study found that blended learning was the most understood learning by students compared to offline and online learning models which were seen from cluster results based on the good grade predicate category show that in offline learning the average value of students in the good grade predicate is 290 students and decrease to 219 students while using online learning and an increased drastically to 362 students after implementing blended learning. While the subjects that can be understood by students using offline, online and blended learning models are the subjects of Religion, Mathematics, and Natural Science.
Co-Authors Aisyah Hikmasari Sitepu Amir Saleh Andy Christanto Wijaya Damanik Barasa Darwis Darwis Fadhillah Azmi I Fawwaz Novitasari Novitasari Putri Putri Rezza Youan Syuhada Ricki Ricki Toni Toni