Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Agus Iskandar
Universitas Nasional, Indonesia
Religion Humanities Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
COMPARISON OF DECISION TREE AND RANDOM FOREST ALGORITHMS IN PREDICTING STUDENT GRADUATION BASED ON ACADEMIC DATA Marlan Marlan; Ahmad Rifqi; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 3 No. 3 (2025): MARCH
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to compare the performance of the Decision Tree and Random Forest algorithms in predicting student graduation based on academic data. By utilizing data such as Grade Point Average (GPA), the number of credit hours, and course grades, this study focuses on analyzing the accuracy of both algorithms in predicting students who are at risk of not graduating on time. The results of the study indicate that the Random Forest algorithm achieves higher accuracy compared to the Decision Tree, particularly in terms of recall and precision. While Decision Tree is simpler and easier to interpret, it tends to have overfitting issues that can affect prediction results. In contrast, Random Forest overcomes these issues by producing more stable predictions through an ensemble process. This study is expected to contribute to the development of student graduation prediction systems in educational institutions. As such, institutions can use these findings as a foundation for designing intervention strategies for students at risk of not graduating on time.
LOCAL SHOE SELECTION DECISIONS WITH A DECISION SUPPORT SYSTEM USING THE SIMPLE ADDITIVE WEIGHTING METHOD Tio Adi Kurniawan; Agus Iskandar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 9 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Shoes are a basic need that is very essential in everyday life. provides protection, comfort and adaptability to a variety of activities and environments. (Juliana iHutapea iet ial., i2018) However, when choosing shoes, the task can become quite complicated considering the many choices and factors that need to be considered. In Indonesia, there are many local shoe brands, each with its own characteristics and appeal. The diversity of shoe models available often creates confusion for buyers, who are looking for shoes that suit their needs and preferences. (Mario i& iLero, in.d.) To overcome this challenge, this research aims for the same. to develop a decision support system designed to provide assistance to buyers in choosing shoes. This research involves three main criteria, namely price, comfort, and quality, which are considered key factors in carrying out the decision-making process. purchasing shoes. By applying the Simple Additive Weighting (SAW) method (Apriani iet ial., i2020), this research attempts to produce weights for each criterion and provide a ranking of shoes that could be the right choice. Thus, this decision support system is expected to have the ability to provide advice or recommendations. shoes that suit customers' needs and preferences, helping them overcome the confusion in choosing among the various shoe models available in the market.
Co-Authors Ahmad Rifqi Marlan Marlan Tio Adi Kurniawan