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All Journal Science in Information Technology Letters Hipotenusa: Journal of Research Mathematics Education (HJRME) International Journal of Electronics and Communications Systems Islamic Journal of Integrated Science Education
Cengiz, Korhan
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Computer Science & IT Education Electrical & Electronics Engineering Mathematics Physics Social Sciences Other

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Retaining humorous content from marked stand-up comedy text Supriyono, Supriyono; Wibawa, Aji Prasetya; Suyono, Suyono; Kurniawan, Fachrul; Voliansky, Roman; Cengiz, Korhan
Science in Information Technology Letters Vol 5, No 2 (2024): November 2024
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v5i2.1812

Abstract

Identifying humor in stand-up comedy texts has distinct issues due to humor's subjective and context-dependent characteristics.  This study introduces an innovative method for humor retention in stand-up comedy content by employing a pre-trained BERT model that has been fine-tuned for humor classification.  The process commences with the collection and annotation of a varied assortment of stand-up comedy writings, categorized as hilarious or non-humorous, with essential comic elements like punchlines and setups highlighted to augment the model's comprehension of humor.  The texts undergo preprocessing and tokenization to be ready for input into the BERT model. Upon refining the model using the annotated dataset, predictions regarding humor retention are generated for each text, yielding classifications and confidence scores that reflect the model's certainty in its predictions.  The criterion for prediction confidence is set to categorize texts as "retaining humor."  The results indicate that prediction confidence is a dependable metric for humor retention, with elevated confidence scores associated with enhanced accuracy in comedy classification.  Nonetheless, the analysis reveals that text length does not affect the model's confidence much, contradicting the presumption that lengthier texts are more prone to comedy.  The findings underscore the significance of environmental and linguistic elements in comedy detection, indicating opportunities for model enhancement.  Future efforts will concentrate on augmenting the dataset to encompass a broader range of comic styles and integrating more contextual variables to improve prediction accuracy, especially in intricate or ambiguous comedic situations
Mitigating Security Threats for Digital Twin Platform: A Systematic Review with Future Scope and Research Challenges Lipsa, Swati; Dash, Ranjan Kumar; Cengiz, Korhan
International Journal of Electronics and Communications Systems Vol. 4 No. 1 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i1.22279

Abstract

In Industry 4.0, the digital twin (DT) enables users to simulate future states and configurations for prediction, optimization, and estimation. Although the potential of digital twin technology has been demonstrated by its proliferation in traditional industrial sectors, including construction, manufacturing, transportation, supply chain, healthcare, and agriculture, the risks involved with their integration have frequently been overlooked. Moreover, as a digital approach, it is intuitive to believe it is susceptible to adversarial attacks. This issue necessitates research into the multitude of attacks that the digital twin may face. This study enumerates various probable operation-specific attacks against digital twin platforms. Also, a comprehensive review of different existing techniques has been carried out to combat these attacks. A comparison of these strategies is provided to shed light on their efficacy against various attacks. Finally, future directions and research issues are highlighted that will help researchers expand the digital twin platform.
IMPLEMENTATION OF AI-BASED CTL LEARNING MODEL ON STUDENTS' MATHEMATICS LEARNING OUTCOMES Afandi, Yopi Ayomi; Noerhasmalina, Noerhasmalina; Istiani, Ana; Kurniati, Lisdwiana; Cengiz, Korhan
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 9, No 1 (2026): HIPOTENUSA JOURNAL OF RESEARCH MATHEMATICS EDUCATION (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v9i1.3778

Abstract

This study was based on the low learning outcomes of students at SMP Negeri 4 Gadingrejo, where only 32 out of 126 students achieved the Learning Objective Achievement Criteria (KKTP). The research method used was quantitative with an experimental design, involving two groups: the experimental class (AI-based CTL) and the control class (Project Based Learning). The instrument used was a learning outcome test consisting of 5 essay questions that had been tested for validity and reliability. Data were analyzed to measure the differences in learning outcomes between the two groups. The results showed a significant difference between the average learning outcomes of students in the experimental class and those in the control class. The average learning outcomes of students who used the AI-based CTL model were higher than those who used the PjBL model. Based on the t-test, the calculated t value was 5.13, which was greater than the t-table value of 2.00, thus the research hypothesis was accepted. The conclusion of this study is that the application of the AI-based CTL learning model is effective in improving students’ learning outcomes on SPLDV material, and it is therefore recommended to consider using this model in mathematics learning.
Making Environmentally Friendly Liquid Dish Soap to Increase Student Productivity In The Field of Entrepreneurship Putri, Nabila Amelia Kurnia; Maiyanti, Aziza Anggi; Anggraini, Atika; Wulandari, Ratna Wahyu; Cengiz, Korhan
Islamic Journal of Integrated Science Education (IJISE) Vol. 4 No. 1 (2025): March
Publisher : Program Studi Tadris IPA, Fakultas Tarbiyah dan Ilmu Keguruan, Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/ijise.v4i1.4628

Abstract

This research aims to increase students’ knowledge and skills in producing environmentally friendly liquid dish soap while developing entrepreneurial aspects. The process of making this soap uses chemicals such as texapon, salt, citric acid, and other ingredients that are processed with structured methods to produce quality and environmentally safe products. The results showed that this eco-friendly dish soap is not only effective in cleaning dirt, but also has economic value that can be developed as a business opportunity. This product has the potential to become a business with high competitiveness because it offers environmentally friendly advantages that are in demand by the market. In addition, this innovation also equips students with entrepreneurial skills, such as production management and marketing, which can help them achieve economic independence. Thus, this research has a positive impact both in terms of economy and environmental preservation.
Co-Authors Afandi, Yopi Ayomi Aji Prasetya Wibawa Ana Istiani, Ana Anggraini, Atika Aziza Anggi Maiyanti Dash, Ranjan Kumar Fachrul Kurniawan Lipsa, Swati Lisdwiana Kurniati, Lisdwiana Noerhasmalina, Noerhasmalina Putri, Nabila Amelia Kurnia Supriyono Supriyono Suyono Suyono Voliansky, Roman Wulandari, Ratna Wahyu