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Keselamatan Kapal Perikanan : Tantangan dan Prospek Registrasi Kapal Kecil di Kepulauan Riau Silviani, Ninne Zahara; Situmeang, Ampuan; Mahendra, Adam
Jurnal Kebijakan Sosial Ekonomi Kelautan dan Perikanan Vol 15, No 1 (2025): JUNI 2025
Publisher : Balai Besar Riset Sosial Ekonomi Kelautan dan Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jksekp.v15i1.13706

Abstract

Keselamatan kapal perikanan menjadi aspek krusial dalam menjaga keberlanjutan sektor perikanan, khususnya di Kepulauan Riau yang kaya akan sumber daya kelautan. Kapal perikanan kecil, sebagai tulang punggung industri perikanan, menghadapi tantangan serius terkait registrasi dan penertiban. Penelitian ini bertujuan untuk menyelidiki tantangan dan prospek registrasi kapal kecil di Kepulauan Riau serta memberikan gambaran komprehensif mengenai keselamatan kapal perikanan di wilayah tersebut. Penelitian ini bertujuan untuk menganalisis peraturan dan implementasi registrasi kapal perikanan di Kepulauan Riau, mengevaluasi peran Pemerintah Daerah dalam penertiban kapal perikanan, dan merumuskan rekomendasi untuk meningkatkan keselamatan kapal perikanan di wilayah ini. Metode penelitian yang digunakan adalah metode yuridis normatif dengan menggunakan pendekatan konseptual dan pendekatan perundang-undangan. Pendekatan konseptual akan digunakan untuk mengidentifikasi konsep-konsep dasar terkait keselamatan kapal perikanan dan registrasi kapal kecil di wilayah Kepulauan Riau. Analisis menunjukkan bahwa registrasi kapal kecil di Kepulauan Riau menghadapi berbagai tantangan, termasuk kendala administratif, kurangnya pemahaman masyarakat nelayan, dan kurangnya infrastruktur pendukung. Pemerintah Daerah Kepulauan Riau telah mengambil langkah-langkah strategis, namun implementasi masih dihadapkan pada tantangan sumber daya manusia dan teknologi. Rekomendasi diberikan untuk meningkatkan efektivitas registrasi kapal, penertiban, dan keselamatan kapal perikanan secara keseluruhan. Title: Fishing Vessel Safety: Challenges and Prospects for Small Vessel Registration in the Riau Islands Fishing vessel safety is a crucial aspect in maintaining the sustainability of the fisheries sector, especially in the Riau Islands which are rich in marine resources. Small fishing vessels, as the backbone of the fishing industry, face serious challenges regarding registration and regulation. This research aims to investigate the challenges and prospects of small vessel registration in the Riau Islands and provide a comprehensive picture of fishing vessel safety in the region. This research aims to analyze the regulations and implementation of fishing vessel registration in the Riau Islands, evaluate the role of the Regional Government in controlling fishing vessels, and formulate recommendations to improve the safety of fishing vessels in this region. The research method used is a normative juridical method using a conceptual approach and a statute approach. A conceptual approach will be used to identify basic concepts related to fishing vessel safety and small vessel registration in the Riau Islands region. Analysis shows that small vessel registration in the Riau Islands faces various challenges, including administrative obstacles, lack of understanding of fishing communities, and lack of supporting infrastructure. The Regional Government of the Riau Islands has taken strategic steps, but implementation is still faced with human resource and technological challenges. Recommendations are provided to improve the effectiveness of vessel registration, control and overall safety of fishing vessels.
Comparison of Machine Learning Models for Classifying Consumer Sentiment of Coffee Shops on Social Media X Pamungkas, Agung Putra; Mahendra, Adam; Aziz, Ibnu Wahid Fakhrudin
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1905-1912

Abstract

With the intense competition in the coffee shop industry, understanding consumer opinions has become crucial for businesses. This study analyzes consumer sentiment toward the Janji Jiwa and Kopi Kenangan brands using tweet data from platform X. Sentiments were classified into positive, neutral, and negative categories using three algorithms: Logistic Regression (LR), Naïve Bayes (NB), and Support Vector Machine (SVM). The performance of these algorithms, in terms of accuracy and predictive capability, was evaluated using the TF-IDF method for text representation. The evaluation results show that LR achieved the highest accuracy at 79%, followed by SVM (78%) and NB (75%). Additionally, LR recorded consistent and balanced scores across the precision, recall, and F1-score metrics. These findings indicate that LR and SVM are more effective for multiclass sentiment classification in social media contexts