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Peran Geopark dalam Pelestarian Geodiversitas dan Pemberdayaan Ekonomi Lokal Nofirman, Nofirman; Azwar, Edy
Jurnal Geosains West Science Vol 3 No 01 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i01.2049

Abstract

Geopark memainkan peran penting dalam mempromosikan konservasi keanekaragaman hayati dan memberdayakan ekonomi lokal, yang merupakan perwujudan dari prinsip-prinsip pembangunan berkelanjutan. Penelitian ini menggunakan pendekatan kualitatif untuk mengeksplorasi peran ganda tersebut, dengan menggunakan data dari lima informan kunci yang mewakili pengelola geopark, perwakilan pemerintah daerah, dan tokoh masyarakat. Analisis data melalui NVIVO mengungkap tiga tema utama: strategi konservasi keanekaragaman hayati, inisiatif pemberdayaan ekonomi lokal, dan tantangan dalam mencapai keseimbangan antara kedua tujuan tersebut. Temuan-temuan tersebut menyoroti praktik-praktik konservasi yang efektif, seperti restorasi habitat dan pendidikan lingkungan, di samping manfaat ekonomi seperti penciptaan lapangan kerja dan peningkatan kapasitas. Namun, berbagai tantangan, termasuk konflik antara konservasi dan pembangunan, serta distribusi manfaat yang tidak merata, menghambat realisasi potensi geopark secara penuh. Dengan mengatasi isu-isu ini melalui tata kelola partisipatif dan kebijakan yang inklusif, geopark dapat meningkatkan perannya sebagai model pembangunan berkelanjutan.
Climate Change Mitigation and Adaptation Strategies for Sustainable Resource Management Rusmayadi, Gusti; Nofirman, Nofirman; Fadhlihi, Andueriganta
West Science Journal Economic and Entrepreneurship Vol. 1 No. 08 (2023): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v1i03.162

Abstract

The interplay between sustainable development and natural resource management has become central to addressing global challenges such as climate change, resource depletion, and social inequities. This study employs bibliometric analysis to explore the evolution, trends, and influences in this critical interdisciplinary field. Utilizing reputable databases, relevant publications are collected, preprocessed, and analyzed using VOSviewer. Co-authorship, citation, and keyword analyses unveil the intellectual landscape, prominent contributors, and core themes. Results showcase clusters such as climate change and resource management, highlighting challenges and strategies. Highly cited works underline key influences, from the natural-resource-based view of the firm to the triple bottom line concept. Insights empower researchers, policymakers, and practitioners to navigate the complexities of sustainable development and resource management.
Conceptual Analysis of Problem-Based Learning Model in Improving Students Critical Thinking Skill Nugraha, Markus Asta Patma; Sinolungan, Jehosua S.V.; Nur, Rezeki; Nuridah, Siti; Nofirman, Nofirman; Cahyono, Didik
Journal of Education Research Vol. 4 No. 2 (2023)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v4i2.185

Abstract

The purpose of this research was to conceptually analyze the problem-based learning model in improving students' critical thinking skill. The research method used in this research was descriptive qualitative. The type of research was library research. Data collection techniques by collecting and analyzing documents descriptively, both written, image and electronic documents. The research results obtained were then presented descriptively in accordance with the research problems and objectives. The results of this research showed that the conceptual analysis of the problem-based learning model in improving students' critical thinking skill, namely Problem-based learning is a learning model that uses problems as a starting point for learning. In other words, problem-based learning is a problem-centered learning activity, Problem-based learning is a learning model that involves students to solve a problem through the stages of the scientific method so that students can learn knowledge related to the problem and at the same time have the skills to solve problems,  a learning model that uses real-world problems. This learning model aims to encourage students to learn through various real problems in everyday life that are related to the knowledge they have or will learn;, Problem-based learning model is a learning model that involves dominant student activities, the teacher acts as a facilitator.
PELATIHAN PENYUSUNAN BUKU BER-ISBN: KUNCI SUKSES KARIER DOSEN Purba, Ulfani Ikhwana; Nofirman, Nofirman; Dahlan, Akhmad; Witjaksana, Budi; Lendra, Lendra; Amalia, Mekar Meilisa
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Volume 5 No. 3 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i3.28594

Abstract

Pelatihan Penyusunan Buku ber-ISBN: Kunci Sukses Karier Dosen dilaksanakan untuk mengatasi kesulitan yang dihadapi dosen dalam menyusun dan menerbitkan buku ber-ISBN, yang penting untuk peningkatan karier akademik dan kontribusi ilmiah. Kegiatan ini diikuti oleh 28 peserta dari berbagai kalangan dan dilaksanakan melalui aplikasi Zoom pada 19 Februari 2024. Metode pelatihan meliputi sesi pembukaan, materi inti, praktik, dan diskusi interaktif. Hasilnya menunjukkan peningkatan pemahaman dan keterampilan peserta dalam menyusun naskah buku, serta kesadaran akan standar penulisan dan prosedur penerbitan. Evaluasi pasca-pelatihan menunjukkan peningkatan signifikan dalam pengetahuan peserta dan kepercayaan diri untuk menerbitkan buku ber-ISBN. Pelatihan ini juga memperkuat jaringan antara dosen, membuka peluang kolaborasi, dan memberikan wawasan tentang tren penerbitan digital. Kesimpulannya, pelatihan ini efektif dalam membekali dosen dengan keterampilan praktis dan pengetahuan mendalam, yang penting untuk pengembangan karier dan kontribusi terhadap pendidikan tinggi di Indonesia.
Fostering Divergent Thinking in the Classroom: The Impact of Project-Based Learning on Student Creativity Sembiring, Harianta; Nofirman, Nofirman; Fransiska, Fini Widya; Wardhani, Wahju Dyah Laksmi; Farah, Rina
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i5.2513

Abstract

The growing demand for 21st-century skills underscores the importance of nurturing students’ creativity through educational practices that promote divergent thinking. This study investigates the impact of Project-Based Learning (PBL) on fostering divergent thinking and creative performance among high school students. The research aims to analyze how the integration of PBL facilitates idea fluency, flexibility, originality, and elaboration in learners’ creative processes. A quasi-experimental design was employed, involving two groups of students: one receiving traditional instruction and the other exposed to PBL interventions across four project cycles. Data were collected using a validated creativity assessment rubric and analyzed through descriptive and inferential statistics (ANOVA). The findings reveal a significant improvement in divergent thinking indicators among students taught through PBL, particularly in their ability to generate multiple and original ideas. Qualitative observations also highlight that collaborative project environments enhanced motivation, self-expression, and problem-solving capacities. The study concludes that PBL serves as an effective pedagogical framework for cultivating creative and divergent thinking skills essential for innovation-driven learning. Implications emphasize the need for curriculum designers and educators to embed authentic, project-based tasks within classroom instruction.
Innovations in Higher Education Curriculum: A Case Study of Interdisciplinary Programs to Foster Creativity Murcahyanto, Hary; Nofirman, Nofirman; Weri, Firda; Rukiyanto, Bernardus Agus; Chai, Napat
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i5.2517

Abstract

The evolving demands of the 21st century have compelled higher education institutions to redesign curricula that transcend disciplinary boundaries and cultivate creativity as a core graduate competency. Traditional mono-disciplinary programs often fail to equip students with the integrative thinking necessary for addressing complex, real-world problems. This study investigates curriculum innovations through interdisciplinary programs aimed at fostering creativity in higher education. The research seeks to identify how cross-disciplinary learning structures, collaborative projects, and flexible pedagogical designs contribute to the development of creative and adaptive learners. A qualitative case study approach was employed, involving document analysis, semi-structured interviews with faculty and students, and observation of interdisciplinary coursework across three universities. Findings reveal that interdisciplinary programs significantly enhance creative capacity by encouraging cognitive flexibility, collaborative problem-solving, and synthesis of diverse perspectives. Students reported heightened engagement and intrinsic motivation when exposed to integrated learning environments that connected theory and practice. The study concludes that curriculum innovation through interdisciplinary design is a powerful strategy for embedding creativity into higher education, though successful implementation requires institutional support, teacher training, and assessment reform aligned with creative learning outcomes.
Mathematical Models for Climate Change Predictions and Mitigation Strategies Nofirman, Nofirman
Research of Scientia Naturalis Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i3.1568

Abstract

Climate change has emerged as a critical global issue, leading to rising temperatures, extreme weather events, and environmental degradation. Accurate predictions and effective mitigation strategies are essential for minimizing the impacts of climate change on ecosystems, economies, and human health. Mathematical models have proven to be valuable tools in understanding climate dynamics and forecasting future scenarios, enabling policymakers to make informed decisions. This study aims to develop and analyze mathematical models for predicting climate change patterns and evaluating potential mitigation strategies. The focus is on improving the accuracy of climate forecasts and identifying feasible solutions to reduce greenhouse gas emissions and global temperature rise. We employed a combination of differential equations, statistical analysis, and machine learning algorithms to construct climate models. Historical climate data were integrated with greenhouse gas emission projections to simulate future climate scenarios. Additionally, sensitivity analyses were conducted to assess the effectiveness of various mitigation strategies, including renewable energy adoption, carbon capture technologies, and reforestation efforts. The models demonstrate a high degree of accuracy in predicting temperature increases, sea level rise, and the frequency of extreme weather events. Mitigation strategies, particularly those focused on reducing carbon emissions through renewable energy and reforestation, showed significant potential in slowing down global temperature rise by up to 2°C by 2050 under certain conditions. Mathematical modeling provides a powerful approach to predicting climate change and assessing the effectiveness of mitigation strategies. Effective implementation of renewable energy and carbon capture technologies can substantially reduce future climate risks, offering a path toward stabilizing global temperatures.  
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.
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 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 Munawir Munawir muriyanto, muriyanto Nanny Mayasari Nasril, Nasril Nizwardi Jalinus Novy Afanggi Pujianto Nur, Rezeki Nuridah, Siti Padilah Padilah Pemy Christiaan 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 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