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All Journal JOIV : International Journal on Informatics Visualization Edu-Ling: Journal of English Education and Linguistics Frasa: English Education and Literature Journal INTERNATIONAL JOURNAL OF LANGUAGE PEDAGOGY Journal of Nahdlatul Ulama and Contemporary Islamic Studies
Ahmad, Norkhairi
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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An Investigation of Engineering Technology Students’awareness and Basic Understanding of Industrial Revolution 4.0 (IR4.0) Alias, Muhammad Najhan; Azmil, Muhd Afiq; Qushairi Ahmad Sukri, Ahmad Farhan; Ahmad, Norkhairi
Edu-Ling: Journal of English Education and Linguistics Vol. 8 No. 1 (2024): December
Publisher : English Education Study Program Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/edu-ling.v8i1.4932

Abstract

The Industrial Revolution 4.0 (IR4.0) is a novel transformative concept that entails a lot of changes to the way the community function. It has brought about significant changes in various workplace and industries, This study aims to assess the level of awareness on IR4.0 and the understanding of the technology pillars among 1st year engineering technology students of a private university via survey method and interview session. The findings show that the students have a fair knowledge of IR4.0 concept acquired from a number of sources and they are in the midst of learning more on this, via integration of the information into the curriculum, campus environment and activities with lecturers and fellow students. The students are positively impacted by the presence of IR4.0 within their study context and environment. This study will provide valuable insights into the current knowledge and perception of IR4.0 among university students, by highlighting areas for improvement in educational curriculum and industry readiness. As future leaders and new members of society it is crucial for them to have a deep understanding and awareness of its impact in life.
FEMALE STUDENTS PERCEPTION ON CHALLENGES AND OPPORTUNITIES FOR THEIR GENDER IN ENGINEERING TECHNOLOGY STUDIES AND THE PROFESSION Zakaria, Alia Zahirah; Farrid, Muhammad Faiz Mohd; Serkawi, Muhammad Syadi Zakhwan; Ahmad, Norkhairi; Huridi, Mohd Hanafia
FRASA: ENGLISH EDUCATION AND LITERATURE JOURNAL Vol. 6 No. 1 (2025): Vol. 6 No. 1 March 2025
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/frasa.v6i1.4849

Abstract

The field of engineering technology has been historically dominated by male students, resulting in a significant gender disparity in many countries. Female students pursuing engineering technology courses face unique challenges that can hinder their success and participation in the field. This research aims to explore the challenges faced by female students in engineering technology courses and present mitigating strategies to address the issues. A combination of basic quantitative survey was undertaken on a sampling of third year female students at a private engineering technology university. A qualitative interview was also conducted on a senior female academic staff who had extensive work experience in the field prior to become an academic. This served as a triangulation to the responses obtained from the surveyed respondents. Findings from the study shows that the challenges faced by the female students in engineering technology courses can be categorized into three main areas namely social and cultural barriers, academic obstacles, and lack of representation and support. As a whole, the female students have a positive perception on engineering technology as a tertiary study option and also as a career choice that they will continue to pursue. In addressing the challenges faced by female students in engineering technology courses, a multi-faceted approach is needed. The approach must also addressing social and cultural barriers and provide adequate academic support to empowers female students to thrive in engineering technology and contribute to the nation.
Model Pendidikan Terpadu Aswaja Nusantara sebagai Inovasi Pendidikan Multikultural untuk Membentuk Generasi Toleran Agus Santoso, Aris Prio; Ahmad, Norkhairi
NAHNU: Journal of Nahdlatul Ulama and Contemporary Islamic Studies Vol. 3 No. 1 (2025): NAHNU
Publisher : LAKPESDAM MWCNU Palengaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63875/nahnu.v3i1.65

Abstract

This study aims to analyze the implementation of the Aswaja Nusantara Integrated Education Model (Pendidikan Terpadu Aswaja Nusantara/PTAN) in pesantren. Using a descriptive-analytical approach with qualitative methods, data was obtained through questionnaires from santri at Pondok Pesantren Salafiyah Daarul Huda Sukoharjo and related literature. The findings show that PTAN is a multicultural educational innovation based on the Nahdlatul Ulama tradition, integrating moderate Aswaja values with the challenges of the digital era and societal diversity. PTAN combines religious, general knowledge, and technology in a holistic curriculum, producing religious, tolerant, and adaptable students. The implementation of PTAN in the pesantren shows positive results in the internalisation of Aswaja values, although there is still a need for strengthening digitalisation, parental involvement, and industry collaboration.     Penelitian ini bertujuan untuk menganalisis implementasi Model Pendidikan Terpadu Aswaja Nusantara (PTAN) di pesantren. Menggunakan pendekatan deskriptif analitik dengan metode kualitatif, data diperoleh melalui kuesioner kepada santri di Pondok Pesantren Salafiyah Daarul Huda Sukoharjo dan literatur terkait. Hasil penelitian menunjukkan bahwa PTAN adalah inovasi pendidikan multikultural berbasis tradisi Nahdlatul Ulama, yang mengintegrasikan nilai moderat Aswaja dengan tantangan digital dan keberagaman masyarakat. PTAN menggabungkan ilmu agama, umum, dan teknologi dalam kurikulum holistik, menghasilkan peserta didik yang religius, toleran, dan adaptif. Implementasi PTAN di pesantren menunjukkan hasil positif dalam internalisasi nilai Aswaja, meskipun masih perlu penguatan dalam digitalisasi dan keterlibatan orang tua serta kolaborasi industri.
Using AI Tools in Thesis Writing: Perspectives from EFL Students and Lecturers Jaya, Sinarman; Melati; Ahmad, Norkhairi
International Journal of Language Pedagogy Vol. 5 No. 2 (2025)
Publisher : Language Pedagogy Study Program, Faculty of Languages and Arts, Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijolp.v5i2.104

Abstract

Digital writing tools have become increasingly common in academic settings, yet their impact on the thesis writing process, especially in English as a Foreign Language (EFL), remains underexplored. This study examined the use of digital writing tools in thesis writing from the perspectives of EFL students and lecturers at four universities in Bengkulu, Indonesia. A mixed-methods approach was used, combining quantitative data from surveys with qualitative insights from semi-structured interviews. The instruments, which included a student survey and a lecturer interview protocol, were validated through expert review and pilot testing before being administered. The survey involved 200 undergraduate students. Additionally, 20 students and 8 lecturers participated in interviews. Data were analyzed using descriptive statistics to quantify student perceptions and experiences, while thematic analysis was applied to the qualitative interview data to identify key themes. The findings revealed that students found AI writing tools useful across various stages of the thesis writing process, particularly for idea generation and language refinement. However, concerns arose regarding overdependence, ethical issues, and insufficient institutional support. Lecturers acknowledged the benefits and challenges AI tools present to academic integrity and writing development. This study offered a more comprehensive understanding of how digital tools influenced academic writing in EFL contexts. It highlighted the need for clear institutional policies and pedagogical strategies to guide their use. Future research could examine the long-term impacts and cross-contextual applications of AI writing tools in the academic setting.
Automatic Topic-Based Web Page Classification Using Deep Learning Apandi, Siti Hawa; Sallim, Jamaludin; Mohamed, Rozlina; Ahmad, Norkhairi
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.1616

Abstract

The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive amount of web pages by classifying them to different categories based on the web page content. Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. The relevant research papers are selected from reputable research databases. The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. Due to lack of matrix representation that can effectively handle long web page text content, a new document representation technique which is word cloud image can be used to visualize the words that have been extracted from the text content web page.
Data Pre-processing of Website Browsing Records: To Prepare Quality Dataset for Web Page Classification Apandi, Siti Hawa; Sallim, Jamaludin; Mohamed, Rozlina; Ahmad, Norkhairi
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1618

Abstract

The increased usage of the internet worldwide has led to an abundance of web pages designed to supply information to internet users. The use of web page classification is becoming increasingly necessary to organize the growing number of web pages. This classification model serves as a tool to restrict internet usage to specific categories of web pages. To develop the classification model, it’s crucial to check the quality of the dataset, as it determines the performance of the web page classification model. Raw datasets are typically unreliable and subject to noise, which complicates data analysis. This is why data pre-processing is necessary to prepare the dataset properly. In this study, website browsing records serve as the dataset. The primary goal of this paper is to investigate data pre-processing techniques for website browsing records, focusing on Game and Online Video Streaming web pages. Data pre-processing involves two main steps: data cleaning and web content pre-processing. After completing the data cleaning process, the datasets are reduced from the original. This demonstrates that many datasets can be eliminated due to their inactivity or unsuitability as the datasets for Game and Online Video Streaming web pages. Meanwhile, web content pre-processing removes noise from an HTML document, retaining only relevant words that can represent the web page by creating a word cloud image. Convolutional Neural Networks (CNN) will be used to construct a model for categorizing web pages to determine whether they fall under Game or Online Video Streaming. The pre-processed data will be used as the input for this model.
Co-Authors Agus Santoso, Aris Prio Alias, Muhammad Najhan Apandi, Siti Hawa Azmil, Muhd Afiq Farrid, Muhammad Faiz Mohd Huridi, Mohd Hanafia Melati Mohamed, Rozlina Qushairi Ahmad Sukri, Ahmad Farhan Sallim, Jamaludin Serkawi, Muhammad Syadi Zakhwan Sinarman Jaya Zakaria, Alia Zahirah