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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 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 West Science Social and Humanities Studies Jurnal Pendidikan Islam Journal of Social Science Utilizing Technology Journal Innovations Computer Science 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 INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Nofirman, Nofirman
Universitas Prof. Dr. Hazairin, SH
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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, Januari
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.
PARADIGM SHIFT: HOW THE DIGITAL ECONOMY IS REORGANISING THE WORLD'S ECONOMIC POWER Pemy Christiaan; Nofirman Nofirman
INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS Vol. 1 No. 4 (2024): INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE)
Publisher : CV. Adiba Aisha Amira

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The digital economy has led to a fundamental paradigm shift in the power structure of the global economy. Digital technologies, such as artificial intelligence, big data, and the Internet of Things (IoT), play an important role in improving countries' productivity, innovation, and competitiveness. Countries that are able to adopt and implement these technologies effectively tend to experience faster economic growth. In addition, the digital economy is also expanding economic inclusion by enabling greater access to markets and financial services for individuals and small businesses, especially in developing countries. However, this transformation also brings challenges, including digital inequality and the need for adequate regulation. Policies that support education, digital infrastructure and data protection, as well as increased international cooperation, are essential to maximise the benefits of the digital economy in an equitable and sustainable manner.
Transforming Traditional Farmers into Professionals: An Introduction to Human Resource Management in Rural Yohny Anwar; Venti Jatsiyah; M. Zahari; Arif Saefudin; Nofirman Nofirman
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.6543

Abstract

This research is focused on outlining experiences in rural human resource management through the introduction of a new professional farmer training process. The aim is to provide insights and references for developing countries in implementing farmer training and improving their human resource structure. The research methodology explores the literature combined with an inductive approach to describe and analyse experiences and lessons learned during training programmes to strengthen human resource capacity in the agricultural sector. The results of this study emphasise the importance of new professional farmer training in rural human resource management, with the Indonesian government prioritising the entire training process. The Indonesian government has taken strategic steps in farmer training, which include identifying appropriate training targets, selecting influential investment entities, developing practical training models, and designing supportive policies. These initiatives have significantly improved the quality and structure of rural human resources. The uniqueness of this research lies in its selection of topics that are less widely covered in the literature, especially regarding the training process and the new professional farmer model. This research is also important in enhancing the skills of rural individuals, increasing farmers' income, strengthening the role of agriculture, and supporting economic growth in rural areas. Furthermore, this research makes a significant contribution to the literature by enriching the theory of human capital investment in rural areas.
Perbandingan Kinerja Algoritma Machine Learning untuk Prediksi Cuaca di Wilayah Tropis Indonesia: Studi Komparatif Random Forest, SVM, LSTM, XGBoost, dan LightGBM Nofirman Nofirman; Munawir Munawir; Fegie Yoanti Wattimena
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.420

Abstract

Weather prediction in tropical Indonesia faces complex challenges due to high climate variability, persistent El Niño–Southern Oscillation (ENSO) influence, and uneven observational coverage. This study compared five machine learning algorithms — Random Forest (RF), Support Vector Machine (SVM), Long Short-Term Memory (LSTM), XGBoost, and LightGBM — using 187,320 daily records from BMKG stations, ERA5 reanalysis, and TRMM satellite data (2000–2023). Preprocessing included MMDIF-RF imputation, Z-score normalization, and SMOTE for class imbalance correction. Models were evaluated on RMSE, MAE, R², Accuracy, Precision, Recall, F1-Score, and AUC-ROC. LSTM achieved the best performance (RMSE = 3.94 mm; R² = 0.891; F1-Score = 0.887; AUC-ROC = 0.941), reflecting its capacity to capture long-range temporal dependencies. XGBoost and LightGBM delivered competitive accuracy at 8–18 times lower training cost, while SVM recorded the lowest accuracy with the highest computational demand. Regional analysis showed station density and data completeness were more consequential than algorithm choice — LSTM RMSE ranged from 3.61 mm in West Java to 5.43 mm in East Nusa Tenggara. A tiered hybrid approach is recommended: LightGBM or XGBoost for routine forecasting and LSTM for extreme event detection, alongside expanded BMKG coverage in eastern Indonesia.  
Co-Authors . Syamsulbahri Abd. Basir Abditama Srifitriani Abdul Latif Abdul Wahab Abdul Wahab Syakhrani 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 Eka Melati Elisabeth Sitepu Ellina Rienovita Elvina Safitri Endang Fatmawati Endrawati, Titin Fadhlihi, Andueriganta Farah, Rina Fatimah Malini Lubis Fegie Yoanti Wattimena Fini Widya Fransiska, Fini Widya Gogor Christmass Setyawan Guntur Putrajaya Gusti Rusmayadi Haerawan, Haerawan Haji Ali, Azimah Harniati Hary Murcahyanto Haryanto, Abel Haryono Haryono Herlan Suherlan Ilham Arief Imam Jayanto Iriana Bakti Ita Soegiarto Jasiah Jasmid Edy 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 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 Munawir Munawir muriyanto, muriyanto Nanny Mayasari Nasril, Nasril Nizwardi Jalinus Novy Afanggi Pujianto Nur, Rezeki Nuridah, Siti Padilah Padilah Pemy Christiaan Purba, Ulfani Ikhwana R. Irma Rachmawati, R. Irma 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 Sembiring, Harianta 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 Ulma Tiara, Inoki Vann, Rithy Vendy Antono Venti Jatsiyah 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 Yolanda Efionita Yuniwati , Ika Yusda, Desi Derina Yusuf, Ramdan Yuyun Suprapto Zairin Zairin Zulkarnain, Ihwan Zunaidi, Arif Zuraida Zuraida