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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal on Learning and Advanced Education (IJOLAE)
Shahidul Islam, Mohammad
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Computer Science & IT Education Engineering

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A systematic analysis on machine learning classifiers with data pre-processing to detect anti-pattern from source code Akhter, Nazneen; Khatun, Afrina; Rahman, Md. Sazzadur; Sanwar Hosen, A. S. M.; Shahidul Islam, Mohammad
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp376-384

Abstract

Automatic detection of anti-patterns from source code can reduce software maintenance costs massively. Nowadays, machine learning approaches are very commonly used to identify anti-patterns. Hence, it is very crucial to choose a classifier that can be useful for detecting anti-patterns. This work aims to help practitioners to choose a suitable classifier to detect anti-patterns. In this paper, we highlight 16 classifiers in four different categories to detect anti-patterns. Furthermore, the performance of these classifiers is identified with the data pre-processing (DPP) to detect four commonly occurring anti-patterns from the three commonly used open-source Java projects’ source code. The accuracy of Dagging classifiers is 98.4%. Kernel logistic regression (KLR) also performs well i.e., 97%. In the case of time complexity, naive Bayes (NB), decision trees (DT), support vector machines (SVM), library for support vector machines (LibSVM), logistic, and LightGBM (LB) have less time complexity to build a model in all the projects.
A Transdisciplinary Approach to Character Development: Islamic Teachings and Pancasila Values in Shaping Global and Faithful Students Adiyono, Adiyono; Nurhayati, Sri; Shahidul Islam, Mohammad; Al-Badawi, Habib; Hassan Sain, Zohaib; Abdul Wafi, Hasan; Vargheese, K.J
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 7, No. 1, January 2025
Publisher : Faculty of Teacher Training and Education, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v7i1.24017

Abstract

Islam as a religion covers various aspects of human life, but research on Islam is often limited to theological or historical perspectives. This research aims to develop a methodological framework that integrates multidisciplinary, interdisciplinary, and transdisciplinary approaches to understand Islam as a comprehensive way of life in the context of the Pancasila Student Profile Strengthening Project (P5). P5 aims to develop the character of students who are faithful and devoted to God Almighty, have a global outlook, cooperate, be self-reliant, and think critically, and creatively. To achieve this goal, a Systematic Literature Review (SLR) was conducted using methodologies and tools that support systematic thinking, identification, feasibility testing, and meta-analysis through journal articles, books, research reports, and other sources published in the last 10 years. Literature Selection and Quality Assessment consists of Inclusion Literature that discusses about Multidisciplinary approaches are used to combine perspectives from sociology, anthropology, psychology, and economics. The interdisciplinary approach integrates theories and methods from different disciplines to create a deeper understanding of how Islamic teachings can support the character development of Pancasila learners. The transdisciplinary approach involves collaboration between academics and practitioners from different fields to produce practical solutions based on academic research from Google Scholar, Semantic Scholar, Eric, Crossref, and Science Direct databases. The research findings show that Islamic teachings influence public policy and governance, and interact with local culture in daily religious practices. The integration of Islamic teachings with Pancasila values can teach students about the importance of social justice, collective responsibility, and mental health.
Co-Authors Abdul Wafi, Hasan Adiyono Akhter, Nazneen Al-Badawi, Habib Hassan Sain, Zohaib Khatun, Afrina Rahman, Md. Sazzadur Sanwar Hosen, A. S. M. Sri Nurhayati Vargheese, K.J