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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Innovative Technologies in Learning and Education
Shah Nazir
University of Swabi
Computer Science & IT Education Social Sciences Other

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Fuzzy Rule-based Classification Systems for the Gender Prediction from Handwriting Lala Septem Riza; Aldi Zainafif; Rasim Rasim; Shah Nazir
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.9478

Abstract

The handwriting is an object that can describe information about the author implicitly. For example, it is able to predict the gender. Recently, the gender prediction based on handwriting becomes an interesting research. Even in 2013, an competition for prediction gender from handwriting has been held by Kaggle. However, the accuracies of current approaches are relatively low. So, in this study, we attempt to implement Fuzzy Rule-Based Classification Systems (FRBCSs) for gender predictions from handwriting. Three stages are conducted to achieve the objective, as follows: defining some features based on Graphology Techniques (e.g., pressure, height, and margin on writing), collecting real datasets, processing on digital images (i.e., image segmentation, projection profiles, and margin calculation, etc.), and implementing FRBCSs. The implemented algorithm based on FRBCSs in this research is Chi’s Algorithm, which is a method based on Fuzzy Logic for classification tasks. Moreover, some experiments and analysis, involving 75 respondents consisting of 36 males and 39 females, have been done to validate the proposed model. From the simulations, the classification rate obtained is 76%. Besides improving the accuracy rate, the proposed model can provide an understandable model by utilizing fuzzy rule-based systems.
IMPROVEMENT OF STUDENT ACHIEVEMENT THROUGH PROBLEM-BASED LEARNING SYSTEM WITH A DIFFERENTIATED APPROACH: OBJECT-ORIENTED PROGRAMMING SUBJECT Wahyudin Wahyudin; Dwi Fitria Al Husaeni; R. Rasim; Khyrina Airin Fariza Abu Samah; Shah Nazir
Journal of Innovative Technologies in Learning and Education Vol. 3 No. 1 (2026): Journal of Innovative Technologies in Learning and Education - January 2026
Publisher : Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jitle.v3i1.1884

Abstract

The quality of education can determine a country's success in facing the industrial revolution 4.0. Learning innovation towards a new paradigm is expected to be able to solve problems entering the era of Industrial Revolution 4.0. Therefore, this research creates a learning innovation that aims to improve student learning outcomes, especially in object-oriented programming material using a problem-based learning system with a differentiated learning approach. Quantitative research methods with a quasi-experimental design in the form of a non-equivalent pretest-posttest control group design were used in this research. The research subjects were 71 students in class X vocational school majoring in software engineering at SMKN 1 Cimahi, Indonesia. This research focuses on improving learning outcomes for object-oriented programming. The research results show that the abilities of students who use a problem-based learning system with a differentiated approach are more even and higher. Using a differentiated learning approach in problem-based learning is more effective in improving student learning outcomes in object-oriented programming material, compared to just using a problem-based learning model. It is hoped that this research can become a reference to improve the quality of learning to prepare students to face the era of industrial revolution 4.0.
Co-Authors Akmal Vrisna Alzuhdi Al Husaeni, Dwi Fitria Aldi Zainafif Harits Ar Rosyid Khyrina Airin Fariza Abu Samah Lala Septem Riza Mohammad Yasser Chuttur R. Rasim Rasim, Rasim