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All Journal Science in Information Technology Letters International Journal of Electronics and Communications Systems International Journal of Hydrological and Environmental for Sustainability Islamic Journal of Integrated Science Education International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Cengiz, Korhan
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Mathematics Physics Social Sciences Other

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Fast Building Identification Using Fuzzy Soft Set Based on Rapid Visual Building (RVS) Sari, Sely Novita; Prastowo, Rizqi; Yanto, Iwan Tri Riyadi; Cengiz, Korhan; Ozyurt, Basak; Topac, Tuna
International Journal of Hydrological and Environmental for Sustainability Vol. 1 No. 2 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1249.556 KB) | DOI: 10.58524/ijhes.v1i2.87

Abstract

Building damage can be caused by disasters such as earthquakes, landslides, etc. To minimize the fatality, the identification of buildings is needed to know the condition of buildings and whether the construction of buildings is able to endure if the disasters happen. This research uses the Rapid Visual Building (RVS) method to identify the building condition. The data are collected from  Kalirejo, Kulon Progo. The survey is conducted by taking a simple building evaluation form (typical of the walls ) based on RVS data. The field assessment results are distinguished into several factors that affect the condition of typical building walls: the foundations, structures, walls, and roofs of the 11 categories on the assessment form. From the data obtained, it is used to classify the building condition using Fuzzy Soft Set. The results show that the classification has been made with good performance in terms of accuracy, precision and time response. The accuracy and recall are close to 100% with above 50% of prevision average and time response is quite 0.0051 second. Thus, it can be used to  predict the condition of buildings accurately.
Ultrasonic sensor system for detection of the objects position in two-dimensional plane Kusumadjati, Adhi; Napitupulu, Jofim Yordaniel; Setiawan, Roni; Samosir, Andrew Imada; Cengiz, Korhan
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 1, No 1 (2023): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def.v1i1.168

Abstract

Ultrasonic sensors are usually used to measure the distance to the object in front of it. It can be used to measure object distances accurately at a detection angle of 15 degrees to the sensor's normal plane and can be carried out up to a maximum distance of 4 m. Three ultrasonic sensors arrange in a triangular configuration can be used to determine the position of objects within the detection area formed by the three sensors. The sensors are positioned and the coverage angle is limited so that detection between sensors in the formation does not overlap or interfere with each other. In addition, using the position data for each unit of time, it is possible to find out the direction of movement of the object. Based on the above concepts, microcontrollers, data acquisition systems, and data processing systems can be used to measure the position and orientation of an object's movement in real time.
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
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 (IAIN) Kediri, Indonesia

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.
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.
Application of Major and Trace Elements for Detecting the Origin of Groundwater: Lithium Enrichment in Ain Al-Harrah Hot Spring Influenced by Red Sea, Saudi Arabia Umam, Rofiqul; Cengiz, Korhan; Said, Ahmad
International Journal of Hydrological and Environmental for Sustainability Vol 3, No 3 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i3.522

Abstract

Major and trace elements are valuable tracers for understanding the groundwater cycle. In groundwater flow path applications, these elements help delineate groundwater flow paths and identify areas of recharge and discharge. While in geothermal systems, the major and trace elements can indicate the contribution of deep hydrothermal fluids. In this study, we used major and trace elements as a groundwater tracer used to determine the origin of the Ain Al-Harrah hot spring in Saudi Arabia. Water sample data collection was taken from previous studies. In the data collection process, pre-washed 0.5 L polyethylene bottles were used to collect a total of five water samples from Ain Al-Harrah hot spring, Saudi Arabia. To prevent contamination, all samples were stored in a refrigerated room to maintain their chemical composition until the analysis process. The analytical results of the study showed that most of the hot water samples from Ain Al-Harrah hot spring, Saudi Arabia had been influenced by seawater which exceeded the limit value of x = 0.86 in the Na/Cl ratio. In addition, the value of y = 0.1 at the SO4/Cl ratio is the horizontal limit between the two. The interpretation of Cl against Cl/Li also confirms that the hot springs of Ain Al-Harrah, Saudi Arabia have been largely mixed with surface water. In addition, it is likely that the origin of the hot springs of Ain Al-Harrah, Saudi Arabia is also from seawater intrusion from red sea that has undergone mixing by meteoric water.
Co-Authors Ahmad Said Aji Prasetya Wibawa Anggraini, Atika Aziza Anggi Maiyanti Dash, Ranjan Kumar Fachrul Kurniawan Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Kusumadjati, Adhi Lipsa, Swati Napitupulu, Jofim Yordaniel Ozyurt, Basak Putri, Nabila Amelia Kurnia Rizqi Prastowo Rofiqul Umam Rony, Zahara Tussoleha Samosir, Andrew Imada Sely Novita Sari Supriyono Supriyono Suyono Suyono Topac, Tuna Voliansky, Roman Wulandari, Ratna Wahyu