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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengajaran MIPA Jurnal Pendidikan IPA Indonesia Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam Jurnal Inovasi Pendidikan IPA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal SOLMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan GERVASI: Jurnal Pengabdian kepada Masyarakat PROSIDING SEMINAR NASIONAL LEMBAGA PENELITIAN DAN PENDIDIKAN (LPP) MANDALA Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Lensa : Jurnal Kependidikan Fisika Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat ADDIN ABSYARA: Jurnal Pengabdian Pada Masyarakat Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Empiricism Journal Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Lensa: Jurnal Kependidikan Fisika Gelora: Jurnal Pendidikan Olahraga dan Kesehatan IKIP Mataram International Journal of Essential Competencies in Education Jurnal Penelitian, Pengembangan Pembelajaran dan Teknologi (JP3T) Journal of Authentic Research Sasambo: Jurnal Abdimas (Journal of Community Service)
Muhammad Asy'ari
Universitas Pendidikan Mandalika
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Moral and Science Integration in The Qur’anic Education Perspective Asy'ari, Muhammad
ADDIN Vol 12, No 1 (2018): Addin
Publisher : LPPM IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/addin.v12i1.3616

Abstract

Education is a very important factor for humans, because it can determine the progress of a nation. Man is not only directed to the increase of knowledge, but also moral or morals. In the concept of Islam, education and teaching must be integrated between science and morals. The approach used by the Qur’an in educating and teaching humanity is to achieve balance and harmony symbolized by hasanah fi ad-dunya wa hasanah fi al-akhirah. After man sincerely worship him, then burdened with education and teaching related to educating, teaching and guiding his soul, such as obeying parents, respect for the elder, love the younger and so forth. It is intended by the Qur’an that man is always holy and keep the holiness that God gives. While the power of human thought is directed to read and analyze and conclude the signs and signs of God’s greatness. In such circumstances the Qur’an will be able to give direction, educate and teach people to the path of ultimate life happiness.
ChatGPT in Physics Education: A Content-Based Analysis on Newtonian Force Problems Ni Nyoman Sri Putu Verawati; Wahyudi Wahyudi; Nina Nisrina; Muhammad Asy'ari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 13 No. 2: April 2025
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v13i2.15824

Abstract

The integration of artificial intelligence (AI) in education has significantly transformed learning environments, particularly through the use of large language models (LLMs) such as ChatGPT. While these tools show promise in supporting science and technology education, their effectiveness in solving domain-specific problems, such as Newtonian mechanics, remains under-explored. This study aims to evaluate the capability of ChatGPT in solving essay-type physics problems involving Newton’s Laws of Motion, with a specific focus on force analysis. Using a content-based qualitative evaluation method, the research was conducted in three stages: development and validation of conceptual physics problems, submission of these problems to ChatGPT, and assessment of the AI-generated responses by expert reviewers. The problem used in this study required decomposition of forces on an inclined plane under idealized, frictionless conditions. ChatGPT's responses were evaluated across three dimensions: scientific accuracy, logical coherence, and contextual relevance. The findings indicate that while ChatGPT was able to provide structured and numerically accurate responses, it lacked depth in reasoning and failed to explicitly articulate physical assumptions and validation steps, such as analyzing counteracting gravitational forces. These limitations point to the model's partial conceptual understanding and highlight the need for human oversight. The study concludes that ChatGPT holds potential as a supplementary learning aid, particularly for reinforcing procedural knowledge. However, its use must be carefully integrated into instructional contexts that promote critical thinking and conceptual verification. Recommendations are offered for its pedagogical implementation, along with a call for further research into AI's role in physics education.
Pemberdayaan Masyarakat Desa Bengkaung melalui Pelatihan Pembuatan Black Soap Berbasis Minyak Jelantah dan Karbon Aktif Hulyadi, Hulyadi; Sukarma, I Ketut; Samsuri, Taufik; Asy'ari, Muhammad; Azmi, Irham; Hunaepi, Hunaepi; Mirawati, Baiq; Fitriani, Herdiyana
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 2 (2026): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v11i2.5835

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan memberdayakan ibu-ibu PKK Desa Bengkaung, Kecamatan Batulayar, Kabupaten Lombok Barat, melalui pelatihan pembuatan black soap berbasis minyak jelantah dan karbon aktif dari limbah ayakan arang kelapa. Permasalahan utama mitra adalah belum optimalnya pemanfaatan limbah ayakan arang kelapa yang diperkirakan mencapai 200 kg per hari dan limbah minyak jelantah dari kawasan kuliner dan pariwisata sekitar desa yang diperkirakan mencapai 50 liter per hari. Kegiatan dilaksanakan pada 18–19 April 2025 di Balai Desa Bengkaung dengan melibatkan 32 anggota PKK sebagai peserta. Metode kegiatan dirancang secara partisipatif melalui FGD, sosialisasi, pelatihan, penerapan teknologi sederhana, pendampingan, dan evaluasi. Teknologi yang ditransfer meliputi aktivasi arang halus menggunakan larutan KOH 15%, pemurnian minyak jelantah melalui adsorpsi karbon aktif, serta pembuatan sabun padat melalui reaksi saponifikasi. Hasil evaluasi menunjukkan peningkatan rata-rata skor pengetahuan peserta dari 41,6 (pretest) menjadi 79,3 (posttest) atau meningkat 90,6%. Sebanyak 27 dari 32 peserta (84,4%) berhasil membuat sabun secara mandiri, menghasilkan 64 batang prototipe black soap. Uji mutu menunjukkan pH rata-rata 9,3 (rentang 8,9–9,7) dan kadar air 14,2%, keduanya memenuhi standar SNI 06-3532. Program ini berkontribusi pada peningkatan literasi lingkungan, keterampilan produktif perempuan, peluang usaha rumah tangga, dan pengurangan pencemaran limbah, serta relevan dengan SDGs tujuan 3, 5, 8, 12, dan 13. Community Empowerment in Bengkaung Village through Black Soap Production Training Based on Waste Cooking Oil and Activated Carbon Abstract This community service program aims to empower women of the Family Welfare Movement (PKK) in Bengkaung Village, Batulayar District, West Lombok Regency, through training in black soap production using waste cooking oil and activated carbon derived from coconut charcoal sieve residues. The main partner problems are the underutilization of coconut charcoal residues estimated at 200 kg per day and waste cooking oil from culinary and tourism activities around the village estimated at 50 liters per day. The program was implemented on April 18–19, 2025, at the Bengkaung Village Hall, involving 32 PKK members as participants. Activities were designed using a participatory approach through focus group discussions, socialization, training, simple technology application, mentoring, and evaluation. The transferred technology includes chemical activation of fine charcoal using 15% KOH solution, purification of waste cooking oil through activated carbon adsorption, and solid soap production through saponification. Evaluation results showed an increase in average knowledge scores from 41.6 (pretest) to 79.3 (posttest), representing a 90.6% improvement. A total of 27 of 32 participants (84.4%) successfully produced soap independently, yielding 64 black soap prototypes. Quality tests showed an average pH of 9.3 (range 8.9–9.7) and moisture content of 14.2%, both meeting SNI 06-3532 standards. The program contributes to improved environmental literacy, women’s productive skills, household business opportunities, and waste pollution reduction, in alignment with SDGs Goals 3, 5, 8, 12, and 13.
The role of prompt engineering in enhancing LLMs: a systematic review of applications and ethical implications Izzul Fatawi; Muhammad Roil Bilad; Muhammad Asy'ari
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1071-1086

Abstract

Large language models (LLMs) have transformed natural language processing (NLP), demonstrating exceptional proficiency in tasks such as text generation, translation, and summarization. However, LLMs are prone to generating biased, inaccurate, or contextually irrelevant outputs, posing significant risks in high-stakes domains such as healthcare, legal reasoning, and engineering. This paper systematically investigates the role of prompt engineering as a solution to these challenges. By strategically designing inputs, prompt engineering enhances LLM performance, yielding more accurate, contextually relevant, and ethically aligned outputs. Advanced techniques, including chain-of-thought (CoT) prompting and retrieval augmented generation (RAG), are examined for their ability to improve reasoning capabilities, reduce errors, and mitigate bias. CoT prompting facilitates structured, stepwise reasoning, while RAG incorporates real-time data, ensuring output accuracy in rapidly evolving fields. In addition, we present a novel comparative perspective on these techniques, highlighting their distinct strengths and limitations across specialized applications such as healthcare diagnostics and scientific data extraction. The findings demonstrate that sophisticated prompt engineering significantly elevates the reliability and precision of LLM outputs, while addressing critical ethical concerns such as data privacy, bias, and hallucination. These insights underscore the necessity of advanced prompt design in optimizing LLMs for high-impact applications, ensuring both performance and ethical integrity.
Prospective Teachers’ Metacognitive Awareness in Remote Learning: Analytical Study Viewed from Cognitive Style and Gender Asy'ari, Muhammad; da Rosa, Cleci T. Werner
International Journal of Essential Competencies in Education Vol. 1 No. 1 (2022): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v1i1.731

Abstract

Cognitive regulation related to the learning independence is a problem that often appears in remote learning. It’s related to metacognition awareness that claimed could facilitate learners in understanding how to learn and regulate the learning process to solve the new problem encountered. The current study aimed to investigate the prospective science teachers’ (PST) metacognitive awareness in remote learning based on field-dependent and field-independent cognitive styles, and gender. Quantitative research with a survey method involving 100 PST was carried out in this study. The PST metacognitive awareness was collected using the Metacognition Awareness Inventory (MAI) instrument, while PST cognitive style was determined using the Group Embedded Figure Test (GEFT) instrument, which was empirically declared valid and reliable. The research data were analyzed using the independent sample t-test, and the Mann-Whitney test after the data distribution test was carried out using the Kolmogorov-Smirnov test. Based on gender differences, PST metacognitive awareness was not significantly different (p>0.05), while based on cognitive style, PST metacognitive awareness was significantly different (p<0.05) on indicators of procedural knowledge and conditional knowledge. In addition, PST metacognitive awareness was significantly different on indicators of procedural knowledge, conditional knowledge, planning, monitoring, debugging, and evaluation based on a review of cognitive styles and gender differences.
Transforming Education with ChatGPT: Advancing Personalized Learning, Accessibility, and Ethical AI Integration Asy'ari, Muhammad; Sharov, Sergii
International Journal of Essential Competencies in Education Vol. 3 No. 2 (2024): December
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijece.v3i2.2424

Abstract

The integration of artificial intelligence (AI) in education, exemplified by tools like ChatGPT, represents a transformative shift in teaching and learning methodologies. This study explores ChatGPT’s role in advancing personalized learning, empowering educators, and enhancing accessibility within educational ecosystems. Using a systematic literature review supported by bibliometric analysis, the paper identifies key trends and insights into AI-driven educational technologies. Findings demonstrate ChatGPT's capacity to personalize instruction by generating adaptive content, delivering real-time feedback, and facilitating curriculum development. It also alleviates educators' workloads through automated grading, lesson planning, and administrative support. However, challenges such as ethical concerns regarding data privacy, inherent AI biases, and potential over-reliance on automation hinder its widespread adoption. The study emphasizes the necessity of ethical guidelines, transparency, and balanced AI integration to mitigate these risks. In conclusion, ChatGPT holds substantial potential for improving educational outcomes by fostering inclusive, adaptive, and efficient learning environments. Future efforts should focus on refining AI technologies to reduce biases, uphold data privacy, and equip educators with the skills needed to effectively integrate AI into pedagogical practices. Responsible and ethical implementation will be key to unlocking ChatGPT's full potential in education.
Enhancing Students' Metacognitive Knowledge through Problem-Based Learning Integrated with Cognitive Conflict Approach: A Study in Newtonian Physics Education Asy'ari, Muhammad; Muhali, Muhali; da Rosa, Cleci T. Werner
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 8 No. 3 (2024): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v8i3.761

Abstract

This study investigates the effectiveness of a Problem-Based Learning (PBL) model integrated with cognitive conflict strategies in improving students’ metacognitive knowledge in physics education. Conducted in an Indonesian senior high school, the study involved three classes implementing different instructional models: PBL with cognitive conflict, PBL alone, and expository teaching. Using a pretest-posttest design, students’ declarative, procedural, and conditional metacognitive knowledge was assessed. Descriptive and inferential analyses revealed that all instructional models produced significant learning gains, with the PBL + cognitive conflict model showing the most notable improvements, especially in conditional knowledge (n-gain = 0.72; Cohen’s d = 1.20). Although ANOVA results were statistically non-significant, effect size analysis confirmed substantial educational impact. The findings highlight the dual role of cognitive conflict and metacognitive scaffolding in fostering self-regulated learning and conceptual understanding. This study supports the integration of metacognitive strategies into inquiry-based instructional models and underscores the cultural compatibility of PBL in Indonesian educational settings.
Co-Authors Abdul Rais Nur Agus Muliadi Agus Muliadi AHMADI Ahmadi Ahmadi Ali Imran Andi Gilang Permadi Armansyah Armansyah Azmi, Irham Baiq Mirawati Bilad, Muhammad Roil Cleci T. Werner da Rosa da Rosa, Cleci T. Werner Dedi Sumarsono Dharawibawa, Iwan Dodi Dharmawibawa, Iwan Doddy Dharmawibawa, Iwan Dody Dwi Sabda Budi Prasetya Firdaus, Laras Fitri, Muliana Fitriani, H. Fitriani, Herdiyana Gummah, Syifaul HAFIZH RIZHA Helmi Rahmawati Herdina Fitriani Hulyadi, Hulyadi Hunaepi, Hunaepi I Ketut Sukarma I Wayan Karmana I Wayan Karmana I Wayan Karmana, I Wayan Indriaturrahmi, Indriaturrahmi Irma Utu Nganji Iskandar, Jono Isti Fitriana Azizah Istin Fitriana Aziza Iwan Doddy Dharmawibawa Iwan Dodi Dharawibawa Iwan Dody Dharmawibawa Izzul Fatawi Jono Iskandar Kalean, Arman Lalu Hulfian Laras Firdaus Laras Firdaus Laras Firdaus Laras Firdaus Laras Firdaus Lina Ulpiana M. Muhali Mahanal, S. Mirawati, Baiq Muhali Muhali Muhamad Ikhsan Muhammad Ikhsan Muhammad Roil Bilad Ni Nyoman Sri Putu Verawati Ni Nyoman Sri Putu Verawati Ni Nyoman Sri Vutu Verawati Nina Nisrina Nisrina, Nina Nova Kurnia Nur, Abdul Rais Prasetya, Dwi Sabda Budi Prayogi, Saiful Rafsanjani, Hafsemi Retnasari, Baiq Ayu Roniati Sukaisih Roniati Sukaisih Samsun Hidayat Samsun Hidayat Samsun Hidayat Sharov, Sergii Siti Zubaidah Sukainil Ahzan Sukaisih, Roniati Susriyati Mahanal Syifaul Gummah Taufik Samsuri Taufik Samsuri Verawati, Ni Nyoman Sri Vutu Wahyudi Wahyudi Wahyudi Wahyudi Wirawan Putrayadi Zubaidah, S.