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Pelatihan Dasar Pengolahan Data Statistik Menggunakan SPSS untuk Mendukung Tugas Akhir Mahasiswa Indriyani, Dwi Ayu; Kuncoro, Fajar Dwi; Rohmah, Rofiqoh Nur; Sitompul, Chrisan Natalia; Lestari, Ayu
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 5, No 6 (2025): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v5i6.2275

Abstract

This training served as a practical implementation of the theoretical concepts learned by students during their coursework, aimed at supporting a more applied learning process. The training employed a combination of Problem-Based Learning (PBL) and Focus Group Discussion (FGD) methods to encourage active, collaborative, and contextual learning. The activity was attended by 32 students from various universities in East Surabaya. The results showed that 22 participants (68.75%) achieved scores above the Minimum Mastery Criteria (KKM ? 60), with significant improvement observed in both logical aspects (conceptual understanding) and technical aspects (SPSS operation skills). The integration of PBL and FGD proved effective in enhancing students’ critical thinking, analytical ability, and practical skills in statistical data processing. Overall, this activity contributed to improving technological literacy and students’ readiness in developing scientific papers based on valid and reliable data.ABSTRAKPelatihan ini merupakan bentuk penerapan praktis dari teori yang telah diperoleh mahasiswa selama perkuliahan untuk mendukung proses pembelajaran yang lebih aplikatif. Metode pelatihan yang digunakan mengintegrasikan Problem Based Learning (PBL) dan Focus Group Discussion (FGD) guna mendorong pembelajaran yang aktif, kolaboratif, dan kontekstual. Kegiatan ini diikuti oleh 32 mahasiswa dari berbagai perguruan tinggi di wilayah Surabaya Timur. Hasil pelaksanaan menunjukkan bahwa 22 peserta (68,75%) berhasil mencapai nilai di atas Kriteria Ketuntasan Minimal (KKM ? 60), dengan peningkatan yang signifikan pada aspek logis (pemahaman konsep) maupun aspek teknis (pengoperasian SPSS). Penerapan kombinasi metode PBL dan FGD terbukti efektif dalam meningkatkan kemampuan berpikir kritis, analitis, serta keterampilan praktis mahasiswa dalam pengolahan data statistik. Secara keseluruhan, kegiatan ini berkontribusi terhadap peningkatan literasi teknologi dan kesiapan mahasiswa dalam menyusun karya ilmiah berbasis data yang valid dan ilmiah.
Blue Economy and Corporate Value Creation: A Bibliometric Analysis of Global Research Trends Kuncoro, Fajar Dwi; Salisa , Meilenia Rahma; Rahmatika , Armizha; Sari, Nur Afiqoh; Setiawan , Mochammad Charis
Research Horizon Vol. 5 No. 6 (2025): Research Horizon - December 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.6.2025.905

Abstract

The blue economy has emerged as a key strategy for sustainable development. This study employs a bibliometric approach to analyze the development and research trends of the blue economy, specifically its relationship with economic performance and firm value. Conceptualized as a sustainable development strategy, the blue economy integrates economic, social, and environmental dimensions centered on marine and coastal resources. Data from the Scopus database (2010-2025) was analyzed using VOSviewer software to map collaboration networks and thematic evolution. The results reveal a substantial increase in publications since 2016, peaking in 2024, highlighting the topic’s growing global relevance. China is the dominant contributor, led by institutions like the Ocean University of China and the Ministry of Natural Resources, followed by universities from the UK, the Netherlands, Australia, and Canada. The analysis identified three primary research clusters, sustainability, marine aspects, and economic and social sectors within the blue economy. The study confirms the blue economy’s significant contribution to economic growth, resource efficiency, and social welfare. However, its success is contingent upon effective governance, technological innovation, and strong integration between the public and private sectors, outlining critical areas for future development and policy focus.