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All Journal SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Dinar: Jurnal Ekonomi dan Keuangan Islam AGRIKAN Jurnal Ilmiah Agribisnis dan Perikanan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Penelitian Pendidikan IPA (JPPIPA) Georafflesia : Artikel Ilmiah Pendidikan Geografi Nazhruna: Jurnal Pendidikan Islam Journal on Education Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Mudir : Jurnal Manajemen Pendidikan Jurnal Mantik Jurnal Pendidikan dan Konseling KOLOKIUM: Jurnal Pendidikan Luar Sekolah TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri JIIP (Jurnal Ilmiah Ilmu Pendidikan) Community Development Journal: Jurnal Pengabdian Masyarakat Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Quantitative Economics and Management Studies Jurnal Pengabdian Masyarakat (ABDIRA) Journal of Education Research Jurnal Minfo Polgan (JMP) Al-Hijr: Journal of Adulearn World Journal Of Human And Education (JAHE) Jurnal Pengabdian Teratai Journal of Innovation and Research in Primary Education International Journal of Community Service (IJCS) JISMA: Jurnal Ilmu Sosial, Manajemen, dan Akuntansi Indonesian Research Journal on Education The Eastasouth Management and Business Innovative: Journal Of Social Science Research Jurnal Pengabdian West Science West Science Journal Economic and Entrepreneurship West Science Interdisciplinary Studies Jurnal Geosains West Science West Science Interdisciplinary Studies Journal International Journal of Teaching and Learning (INJOTEL) West Science Social and Humanities Studies Jurnal Pendidikan Islam Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Journal of Selvicoltura Asean Journal of Loomingulisus ja Innovatsioon Cognitionis Civitatis et Politicae Research of Scientia Naturalis Edumaspul: Jurnal Pendidikan
Nofirman, Nofirman
Universitas Prof. Dr. Hazairin, SH
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USING ARTIFICIAL INTELLIGENCE AND LIDAR DATA FOR HIGH-RESOLUTION FOREST INVENTORY AND ABOVE-GROUND BIOMASS ESTIMATION IN A SUMATRAN RAINFOREST Nofirman, Nofirman; Shah, Ahmed; Tariq, Usman
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i4.2483

Abstract

Accurate quantification of forest carbon stocks is critical for global climate change mitigation initiatives like REDD+. Traditional forest inventory methods are often labor-intensive, costly, and limited in scale, particularly in complex tropical ecosystems such as the Sumatran rainforest. The integration of advanced remote sensing technologies and artificial intelligence (AI) offers a transformative potential for overcoming these limitations. This study aimed to develop and validate a high-resolution model for individual tree detection and above-ground biomass (AGB) estimation in a Sumatran rainforest by synergizing airborne LiDAR data with machine learning algorithms. High-density LiDAR data was acquired over a 10,000-hectare study area. Concurrently, extensive field inventory data from 150 plots were collected to serve as ground truth. A deep learning model, specifically a Convolutional Neural Network (CNN), was trained to perform individual tree crown delineation (ITCD) from the LiDAR-derived canopy height model. Tree-level metrics were then used as predictors in a Random Forest algorithm to estimate AGB, which was calibrated against field-measured biomass. The CNN model successfully identified individual trees with an accuracy of 92.4%. The subsequent Random Forest model demonstrated high predictive power for AGB estimation, yielding a strong coefficient of determination ( = 0.89) and a low Root Mean Square Error (RMSE) of 25.8 Mg/ha. The approach generated a high-resolution (1-meter) AGB map, revealing detailed spatial variations in carbon stock across the landscape. The fusion of AI and LiDAR data provides a highly efficient methodology for forest inventory and AGB mapping in dense tropical rainforests. This approach significantly enhances our capacity to monitor carbon dynamics, forest conservation and climate policy.
Meta-analysis of the Effect of Jigsaw Model Based on Hybrid-Based Learning on Students' Critical Thinking Skills Wiwid Suryono; Linda Winiasri; Nofirman Nofirman; Mardiati Mardiati; Tomi Apra Santosa
Edumaspul: Jurnal Pendidikan Vol 7 No 2 (2023): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v7i2.6649

Abstract

The purpose of this study was to determine the effect of the jigsaw learning model based on hybrid learning on students' critical thinking skills. This type of research is quantitative research with a meta-analysis approach. Data sources come from analyzing national and international journals. Inclusion criteria are research must come from Scopus and SINTA-indexed journals or proceedings; Data source searches come from Google Scholar, ERIC, IEEE, and Wiley; Research must have experimental and control classes; Research must be published from 2017-2023; Research has a relationship with research variables and research has a value (t), (r) and (f). Data analysis is quantitative statistical analysis with the help of the JSAP application. The results of this study concluded that the average value of the summary effect size or mean effect size of the entire study (ES = 0.896; p < 0.001) with very high criteria. This finding explains that the jigsaw learning model based on hybridized learning has a great influence on students' critical thinking skills.
The Geopolitics of Critical Minerals: an International Relations Perspective on Indonesia's Nickel Downstream Policy Nofirman, Nofirman; Anwar, Shamsul; Haji Ali, Azimah; Magar, Bina
Cognitionis Civitatis et Politicae Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i2.2527

Abstract

The global race for critical minerals has transformed nickel into a strategic asset in contemporary geopolitics. Indonesia, possessing one of the world’s largest nickel reserves, has adopted a downstream policy to assert greater control over its mineral resources and strengthen national economic sovereignty. This study aims to analyze Indonesia’s nickel downstream policy from an international relations perspective, emphasizing its geopolitical, economic, and strategic implications. Using a qualitative method with a descriptive-analytical approach, the research draws on policy documents, trade data, and scholarly discourse to interpret Indonesia’s positioning within global power dynamics. The findings reveal that the policy reflects Indonesia’s attempt to transition from a resource supplier to a value-added industrial hub, balancing between China’s technological dominance and Western market access. Moreover, the policy redefines Indonesia’s bargaining power in international trade and its alignment in global supply chains for electric vehicles and renewable energy. The study concludes that Indonesia’s nickel strategy represents a form of resource nationalism adapted to 21st-century multipolar competition, offering insights into how developing nations can leverage critical minerals for geopolitical advantage.
Pelatihan Pemanfaatan Artificial Intelligences Deepseek dalam Menurunkan Plagiasi Artikel Ilmiah bagi Mahasiswa Baru Annas, Annisa Nuraisyah; Nofirman, Nofirman; Haryanto, Abel; Machmud, Amir; Safarudin, Muhamad Sigid
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 1 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i1.1602

Abstract

The Student Creativity Program (PKM) aims to train new students in utilizing DeepSeek Artificial Intelligence (AI) as a tool to reduce plagiarism in scientific article writing. The training focuses on improving their understanding of paraphrasing, ethical citation integration, and utilizing DeepSeek's advanced features as a responsible writing assistant. The PKM implementation method is training and mentoring, consisting of three stages: (1) Presentation of conceptual material on plagiarism and writing ethics; (2) Hands-on workshops on utilizing DeepSeek for paraphrasing, idea elaboration, and draft checking; and (3) ongoing mentoring through online discussion groups. Evaluation results indicate an increase in participants' ability to produce manuscripts with greater originality. Analysis using a plagiarism checker on drafts before and after the training showed a significant decrease in indications of plagiarism, as well as an increase in participants' understanding of integrative academic writing. This program effectively empowers new students with AI literacy for responsible academic productivity.
Tren Penelitian Climate Geopolitics Tahun 2000–2025: Tinjauan Bibliometrik Judijanto, Loso; Nofirman, Nofirman
Jurnal Geosains West Science Vol 3 No 03 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i03.2766

Abstract

Studi ini menganalisis tren penelitian perubahan iklim dan geopolitik dari tahun 2000 hingga 2025. Kami menemukan topik penting seperti keamanan energi, energi terbarukan, dan risiko geopolitik dalam perdebatan global tentang perubahan iklim dengan menggunakan VOSviewer dan CiteSpace. Studi ini menekankan bagaimana kebijakan iklim, transisi energi, dan hubungan internasional berhubungan satu sama lain, dan bagaimana perubahan geopolitik berdampak pada upaya global untuk mengatasi perubahan iklim. Penelitian menunjukkan bahwa negara-negara besar seperti Amerika Serikat, China, dan Uni Eropa memainkan peran penting dalam membentuk kebijakan energi dan perubahan iklim di seluruh dunia. Selain itu, penelitian ini menunjukkan kerja sama yang semakin erat antara negara dan lembaga akademik dalam menangani masalah-masalah yang kompleks ini. Hasil ini meningkatkan pemahaman tentang lingkup penelitian tentang perubahan iklim yang terus berkembang dan memberikan wawasan berharga bagi peneliti, pembuat kebijakan, dan pemangku kepentingan yang terlibat dalam tata kelola iklim global.
PELATIHAN ENGLISH FOR STEM BAGI SISWA SMA EKSPERIMEN SAINS SEDERHANA DAN CODING DASAR Stevani, Margaret; Adrian Saragi, Alexander; Martiningsih, Evi; Nofirman, Nofirman
Jurnal Pengabdian Teratai Vol. 6 No. 2 (2025): Vol. 6 No. 2 (2025): Jurnal Pengabdian Teratai
Publisher : Lembaga Penelitian Dan Pengabdian Pada Masyarakat (LPPM) Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/teratai.v6i2.1870

Abstract

Program pengabdian masyarakat “Pelatihan English for STEM bagi siswa SMA melalui Eksperimen Sains Sederhana dan Coding Dasar” dilaksanakan untuk menjawab kebutuhan literasi STEM dan kemampuan English for Scientific Purposes pada siswa di SMA Negeri 5 Medan, Sumatera Utara. Kegiatan ini dirancang menggunakan Interdisciplinary Linguistic–STEAM Integration Model (ILSIM) yang menggabungkan prinsip Content and Language Integrated Learning, multimodal literacy, eksperimen sains, block-coding, dan komunikasi ilmiah berbasis tugas. Metode pelatihan meliputi eksperimen kimia dasar, pengenalan coding Scratch, proyek rekayasa jembatan mini, serta analisis data matematis. Data dikumpulkan melalui observasi kinerja tugas, penilaian bahasa, dan analisis produk siswa. Hasil menunjukkan peningkatan signifikan pada penguasaan scientific register, algoritmik-linguistik, engineering-specific discourse, dan mathematical reasoning, yang dibuktikan melalui kemampuan siswa menjelaskan fenomena, menyusun prosedur teknis, dan menginterpretasi data dalam bahasa Inggris akademik. Kesimpulannya, model ILSIM efektif memperkuat integrasi bahasa dan STEM, sekaligus meningkatkan kompetensi kognitif, komunikatif, dan teknis siswa secara simultan.
Co-Authors . Syamsulbahri Abd. Basir Abditama Srifitriani Abdul Latif Abdul Wahab Abdul Wahab Syakhrani Abu Muna Almaududi Ausat Agus Nursalim, Agus Ahmad Suriansyah Akhmad Dahlan Akhmad Riandy Agusta Al Ghazali, Al Ghazali Ali Zaenal Abidin Amalia, Mekar Meilisa Amir Machmud, Amir Amjad Salong Andi Rahman ANDRI KURNIAWAN Andueriganta Fadhlihi Annas, Annisa Nuraisyah Antono Damayanto Anwar, Shamsul Apra Santosa, Tomi Ardiansyah, Teddy Ari Purwanti Arief Fahmi Lubis Arief Suardi Nur Chairat Arif Saefudin Arifin, Arifin Arifin, Syaadiah Arini, Rani Eka arjang Asbaruna, Latifah Wulandari Binti Astuti, Enny Diah Azhariah Rachman Azwar, Edy B.M.A.S. Anaconda Bangkara Bangun, Eka Uliyanti Putri Br Basir, Badirun Besse Arnawisuda Ningsi Budi Witjaksana, Budi cahyono, didik Cakranegara, Pandu Adi Cakranegara, Pandu Adi Chai, Napat CNAWP, Rizal Perlambang Dara, Ravi Dedy Irfan Diana Yusuf Dodik Widarbowo Edy Nurtamam, Mohammad Efionita, Yolanda Eka Melati Elisabeth Sitepu Ellina Rienovita Elvina Safitri Endang Fatmawati Endrawati, Titin Fadhlihi, Andueriganta Farah, Rina Fatimah Malini Lubis Fini Widya Fransiska, Fini Widya Gogor Christmass Setyawan Guntur Putrajaya Gusti Rusmayadi Haerawan, Haerawan Haji Ali, Azimah Harianta, Harianta Harniati Hary Murcahyanto Haryanto, Abel Haryono Haryono Herlan Suherlan Ilham Arief Imam Jayanto Iriana Bakti Ita Soegiarto Jasiah Jasmid Edy Jatsiyah, Venti Jauhari, Burhanuddin Jayadi Jayadi Jehosua S.V. Sinolungan Jekmal Malau Joni Wilson Sitopu Judijanto, Loso Juliana, Juliana Karundeng, Deby Rita Khasanah Khasanah Khobir, Khoirul Kurniawan Kurniawan Lendra Lendra Lestari, Nana Citrawati Linda Winiasri Loso Judijanto M. Zahari Machzumy, Machzumy Magar, Bina Marbun, Rupdin Mardiati Mardiati Mardiati Mardiati Margaret Stevani Marjan, M Markus Asta Patma Nugraha Martiningsih, Evi Maruf, Irma Rachmawati Mas'ud Muhammadiah Massang, Berdinata Melinda Puspita Sari Jaya Meliza, Arini Michiel Martin Rumondor Miftahus Surur Muhamad Ammar Muhtadi Muhammad Ade Kurnia Harahap Muhammad Subhan Iswahyudi Muhammad Yusuf Muhtadi, Muhamad Ammar Mukhtar Efendi muriyanto, muriyanto Nanny Mayasari Nasril, Nasril Nizwardi Jalinus Novy Afanggi Pujianto Nur, Rezeki Nuridah, Siti Padilah Padilah Purba, Ulfani Ikhwana Rais, Rinovian Ramdhan Kurniawan Rani Eka Arini Raudya Setya Wismoko Putri Retnaningsih , Rahayu Rizki Ramadhani Romadhon, Ismi Amalia Rukhmana, Trisna Rukiyanto Rukiyanto, Rukiyanto Rully Novie Wurarah Rusdianto Rusdianto, Rusdianto Safarudin, Muhamad Sigid Santos, Luis Santosa, Tomi Apra Saragi, Alexander Adrian Saryanto Saryanto Sefrizal, Levy Shah, Ahmed Siregar, Ade Perdana Sri Rahayu Sudadi Suharni Sultana, Momena Supriyanto Supriyanto Suryono, Wiwid Susanti, Maria Melani Ika Tamaulina Br Sembirin Tamaulina Tariq, Usman Taufik Abdillah Syukur Thamrin, Andi Thomasonan Lutfie Prananto Ti Aisyah Tomi Apra Santosa Trisna Rukhmana Ulma Tiara, Inoki Vann, Rithy Vendy Antono Wakit, Saipul Walenta, Abdi Sakti Wardhani, Wahju Dyah Laksmi Weri, Firda Winiasri, Linda Wirayasa, I Ketut Adi Wiwid Suryono Yasir Riady Yenny Anggreini Sarumaha Yohny Anwar Yuniwati , Ika Yusda, Desi Derina Yusuf, Ramdan Yuyun Suprapto Zairin Zairin Zulkarnain, Ihwan Zunaidi, Arif Zuraida Zuraida