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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Pendidikan Karakter Jurnal Pendidikan Vokasi Jurnal Edukasi Elektro Jurnal Penelitian Saintek JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan Teknologi dan Kejuruan TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pendidikan IPA Indonesia Jurnal technoscientia Sinergi Program Kreativitas Mahasiswa - Teknologi Indonesian Journal of Science and Technology Proceeding of the Electrical Engineering Computer Science and Informatics Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Journal of Vocational Education Studies Indonesian Journal of Electrical Engineering and Computer Science JURNAL TEKNOLOGI TECHNOSCIENTIA Southeast Asian Journal of Technology and Science

Moh. Khairudin

Universitas Negeri Yogyakarta

Author-ID : 297904

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Using Multilevel Modelling to Evaluate Science Literacy and Technology Course of the Indonesian Non-Science Students Setiaji, B.; Santoso, P. H.; Aziz, K. N.; Retnawati, H.; Khairudin, M.
Jurnal Pendidikan IPA Indonesia Vol 12, No 1 (2023): March 2023
Publisher : Program Studi Pendidikan IPA Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpii.v12i1.41457

In this paper, a science literacy and technology course has been designed and implemented to strengthen the national initiative empowering scientifically literate Indonesian society. This paper is intended to evaluate to what degree non-science undergraduate students can perform this course. The diverse background of non-science students who participated in this study led to the challenge to evaluate their performance more comprehensively contemplating the nested structure of students’ department and faculty setting. In light of the hierarchical nature of the student data, multilevel modelling was used to conduct the analysis. The first level of analysis involved students’ performance and affective attributes measured using demonstrated science literacy assessment (SLA-D) and motivational beliefs (SLA-MB) respectively. Then, the subsequent level of analysis comprised demographic factors gathered from the institutional record. Findings demonstrated that the impact of demographic factors on the students’ performance of science literacy was not substantial. Different settings of students’ department and faculty level drove the association between affective factors and the learning process toward science literacy courses substantially. The multilevel approach controlled the equitable student assessment within the nature of students’ data structure. This paper suggests an implication of advancement regarding educational data analysis and examines the effectiveness of science literacy courses for higher institutions specifically for non-science majors.

Early detection of diabetes potential using cataract image processing approach Moh. Khairudin; Rendy Mahaputra; Wiharto Wiharto; Yasmin Mufidah; Leo Anang Miftahul Huda; Rafif Apta Reswara; Adelia Putri Nur Ahni; Gita Juli Hartanti
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.006

Diabetes is a disease characterized by a high level of sugar in the blood. The disease occurs because of a disruption in the metabolic system when insulin is not produced effectively and functions properly. High blood sugar levels, for an extended period of time, can harm a few organ systems, including the heart and kidneys. Moreover, it may cause blindness or death if it is not carefully monitored. Because diabetes symptoms are rarely seen, one of the factors that may cause diabetes is self-awareness. Thus, with Artificial Intelligence, this problem can be solved. Artificial intelligence studies how machines can function like humans. This study implemented a Convolutional Neural Network algorithm with (1) input layer, (2) feature learning layer, (3) classification layer, and (4) output layer as the architecture for AI. The accuracy of the developed AI model was measured from its precision, recall, and f1-score. The results show that the model obtained 90% precision, recall, and f1-score for real-world cases found in two hospitals located in Solo and Yogyakarta, Indonesia. According to the results of the tests, 9 out of 10 patients were correctly predicted as having a high risk of diabetes based on their eye images.

Enhancing Tajwid Skills through Harakah-Based Learning Media: An Evaluation of MPQu-Berkah among Schoolchildren Nurliadin, Nurliadin; Chirzin, Muhammad; Arif, Mahmud; Khairudin, M
Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Vol. 9 No. 1 (2024)
Publisher : Program Studi Pendidikan Islam Anak Usia Dini, Fakultas Ilmu Tarbiyah dan Keguruan, UIN Sunan Kalijaga, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jga.2024.91-01

The research explores the efficacy of MPQu-Berkah, a harakah-based digital media, in enhancing tajwid skills among schoolchildren (Elementary Students), specifically focusing on Makhārijul hurūf and Ṣifātul hurūf. Utilizing a Nonequivalent Pretest-posttest Control Group Design, the study compares the tajwid proficiency of students engaging with MPQu-Berkah to those following traditional learning methods. The methodology encompasses pretests and posttests, alongside an independent t-test for statistical analysis, to evaluate the impact of the learning media on Quranic reading accuracy and fluency. Findings reveal a significant improvement in the experimental group's tajwid abilities, highlighted by an 11% average competency increase, evidencing MPQu-Berkah's effectiveness. The developed media, tailored for elementary education in the digital era, features audio-visual content designed to facilitate accessible and engaging tajwid learning. Despite the positive outcomes, the study acknowledges limitations due to its experimental setting and suggests future research to investigate the wider application and sustained impact of digital learning tools in religious education. This research underlines the potential for integrating multimedia tools in educational curricula, proposing a shift towards technology-enhanced learning environments to cater to the digital-native generation's needs. The findings advocate for a paradigm change in Quranic education, indicating that technological integration can substantially improve learning outcomes, contributing to the fields of educational technology and linguistic skill teaching.

Modified delphi technique: the future of vocational learning skills Nashir, Irdayanti Mat; Yusoff, Abdullah; Ma’arof, Nurul Nazirah Imam; Ismail, Mohamad Amiruddin; Khairudin, Moh; Andriani, Dwi Esti; Idris, Muhammad Ridzuan; Sudiyatno, Sudiyatno
Southeast Asian Journal of Technology and Science Vol 2, No 1 (2021): Southeast Asian Journal of Technology and Science
Publisher : Indonesian Institute for Counseling, Education, and Therapy (IICET)

This article explains the development of checklist which is related with future of vocational learning skills by using the Modified Delphi techniques. The Modified Delphi technique provides the opportunity for researchers to gather input from participants in the first round of collecting data and then distributed that checklist to the expertise until consensus achieved. Often, the process is used to find consensus among experts who have different views and perspectives. The Modified Delphi technique enables group problem-solving using an iterative process of problem definition, discussion, feedback, and revisions. This paper will discuss the basics of the Modified Delphi techniques, its application potential, the selection of expert panels and the means on how consensus can be reached among the participants using examples of our past research using the technique. The 13 out of 15 domain of the future learning skills have found in this research.

In-depth evaluation and enhancement of a PV-wind combined system: A case study at the Engineering Faculty of Wahid Hasyim University Mauludin, Moch Subchan; Khairudin, Moh.; Asnawi, Rustam; Trisnoaji, Yuki; Prasetyo, Singgih Dwi; Azizah, Safira Rusyda; Wiraguna, Rayie Tariaranie
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1274-1283

Energy sustainability is crucial for mitigating climate change and reducing dependence on fossil fuels. This research evaluates a hybrid renewable energy system combining photovoltaic (PV) technology and wind turbines to meet the electricity demand of Wahid Hasyim University's Faculty of Engineering, totalling 555,000 VA. Using HOMER Pro software, the study identifies the optimal configuration based on technical, economic, and environmental aspects. The hybrid system integrating PV, wind turbines, batteries, and converters achieves the lowest Net Present Cost (NPC) of $214,877 and a Levelized Cost of Energy (LCOE) of $0.0185/kWh, outperforming grid-only systems. Environmentally, the system significantly reduces carbon dioxide (CO2) emissions, from 559,226 kg/yr in conventional systems to 62,452 kg/yr. Solar energy contributes 56% of electricity generation, leveraging stable solar radiation of 4.28–5.54 kWh/m²/day. Additionally, an annual surplus of 156,350 kWh can be sold back to the grid, enhancing operational efficiency. This study demonstrates that hybrid renewable energy systems deliver long-term cost efficiency and significantly mitigate climate impacts. It provides a sustainable energy model for campuses in Indonesia and worldwide, particularly in regions with abundant solar resources.

RANCANG BANGUN GAME EDUKASI SEBAGAI MEDIA PEMBELAJARAN MATA KULIAH PRAKTIK TEKNIK DIGITAL Nugraha, Ariadie Chandra; Khairudin, Moh.; Hertanto, Deny Budi
Jurnal Edukasi Elektro Vol. 1 No. 1 (2017): Jurnal Edukasi Elektro, Volume 1, Nomor 1, 2017
Publisher : DPTE FT UNY

Tulisan ini bertujuan untuk menjelaskan proses: (1) mengembangkan game edukasi pada mata kuliah praktik teknik digital, dan (2) meguji kelayakan dari game edukasi pada mata kuliah praktik teknik digital.. Model pengembangan yang digunakan di dalam penelitian ini adalah ADDIE yang terdiri dari (a) Analisis, (b) Desain, (c) Development, (d) Implementasi, dan (e) Evaluasi. Hasil proses ini adalah : (1) Pengembangan game "Master of Digital" dengan model ADDIE menghasilkan game edukasi yang terdiri dari halaman utama, level game, skor tertinggi, dan pengaturan. (2) Berdasarkan penilaian oleh ahli materi didapatkan rerata skor 73 dari rerata skor maksimal 84 dengan kategori "sangat layak". Berdasarkan penilaian oleh ahli media didapatkan rerata skor 84 dari rerata skor maksimal 104 dengan kategori "layak". Berdasarkan penilaian oleh mahasiswa didapatkan rerata skor 54,61 dari rerata skor maksimal 80 dengan kategori "layak".

Co-Authors A. Shah A.R. Husain Abdul Rashid Husain Abdullah Yusoff Adelia Putri Nur Ahni Ahmad Habibullah Ahmad Hoirul Aifaa Husna Asha’ri Amri, Aziezatul Nezirah Anggoro Fajar Dwi U Ariffin, Arihasnida Arihasnida Ariffin Asri Widowati Aziezatul Nezirah Amri Azizah, Safira Rusyda Azman Hasan Azman, M.N.A Azman, Mohamed Nor Azhari Badraningsih Lastariwati Bayu Setiaji Budiastuti, Pramudita Deny Budi Hertanto Dessy Irmawati Didik Hariyanto Dwi Esti Andriani Eko Prasetyo Enjang Akhmad Juanda Fanani Arief Ghozali G.D. Chen Gayuh Titis Permana Gita Juli Hartanti Hamzah, Norhasyimah Haryanto Haryanto Heru Raharjo Idris, Muhammad Ridzuan Imam Ma'arof, Nurul Nazirah Irdayanti Mat Nashir Irdayanti Mat Nashir Irwan Mahazir Ismail Irwan Mahazir Ismail Ismail, Irwan Mahazir Ismail, Mohamad Amiruddin Ismail, Mohd Erfy Istanto Wahyu Djatmiko Jamil Abd Baser Jamil Abd Baser Joko Laras B T Ketut Ima Ismara Khafidh Nur Aziz Khairul Azhar Mat Daud Kiong, Tee Tze Laras B T, Joko Leo Anang Miftahul Huda Lipur Sugiyanta M Noor A Azman M. Luthfi Hakim M.C. Wu Mahmud Arif Maisel Priskila Sisilia Maman Abdurohman Mat Daud, Khairul Azhar Mat Nashir, Irdayanti Mauludin, Moch Subchan Ma’arof, Nurul Nazirah Imam Mentari P Jati Moch Sukardjo Mohamed Nor Azhari Azman Mohammad Lutfi Mohd Erfy Ismail Mohd Erfy Ismail Mohd Hasril Amiruddin Muhamad Iskandar Muhammad Chirzin Muhammad Ridzuan Idris Nashir, Irdayanti Mat Nopadon Maneetien Norhasyimah Hamzah Nugraha, Ariadie Chandra Nurkhamid Nurkhamid Nurlia Sutiani Nurliadin, Nurliadin Nurul Nazirah Imam Ma'arof Nurul Wahidah Pipit Utami Pramono, H. S. Purwoko Haryadi Santoso Putut Hargiyarto R. Asnawi Rafif Apta Reswara Refalda, R. Rendy Mahaputra Retnawati, H. Ridho, R.N. Ridho, R.N. Rustam Asnawi S. Riyanto Shah, A Sigit Yatmono Singgih Dwi Prasetyo Siti Marfu’ah Sudiyatno Sudiyatno Susiwi . Suyanto Suyanto Tee Tze Kiong Thomas Köhler Triatmaja, A. K. Trisnoaji, Yuki Wiharto Wiharto Wiraguna, Rayie Tariaranie Yasmin Mufidah Yundari, Yundari Yusoff, Abdullah Yusuf Kurniawan Z. Mohamed Z. Mohamed Z. Mohammed Zaharuddin Mohamed

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