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All Journal JURNAL PENDIDIKAN TAMBUSAI Journal of Social Research Agents: Journal of Artificial Intelligence and Data Science
Febrianto, Andi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Pengaruh Pendekatan Problem Based Learning Berbasis Sirkuit Training terhadap Motivasi Belajar Dribbling Permainan Sepak Bola Febrianto, Andi; Nurhayati, Faridha
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Pendidikan Jasmani Olahraga dan Kesehatan di sekolah dasar masih menghadapi kendala, terutama pada keterampilan dribbling dalam permainan sepak bola serta rendahnya motivasi belajar siswa. Motivasi belajar menjadi faktor penentu keberhasilan proses pembelajaran. Penelitian ini bertujuan untuk mengetahui pengaruh pendekatan Problem Based Learning berbasis sirkuit training terhadap motivasi belajar dribbling permainan sepak bola. Desain kuasi-eksperimental menggunakan metodologi Satu Kelompok Pretest-Posttest adalah metodologi studi yang diterapkan. 29 siswa dari kelas 5A Sekolah Dasar Khadijah Wonorejo menjadi sampel penelitian; mereka dipilih melalui teknik pengambilan sampel total. Kuesioner tentang motivasi belajar berfungsi sebagai alat penelitian. Uji Wilcoxon digunakan untuk menganalisis data. Temuan menunjukkan perubahan yang signifikan dalam motivasi belajar sebelum dan setelah perlakuan, dengan nilai signifikansi 0,000 < 0,05. Peningkatan motivasi belajar sebesar 11,25% termasuk kategori sedang. Dengan demikian, pendekatan Problem Based Learning berbasis sirkuit training efektif dalam meningkatkan motivasi belajar dribbling pada siswa sekolah dasar.
ANALISIS SENTIMEN KOMENTAR PENGGUNA TERHADAP GAME MOBA LOKAPALA DI GOOGLE PLAY STORE MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE Muiz, Rafiul; Ishar, Rahmat Fajri; Febrianto, Andi; Akbar, Muhammad Nur
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 2 (2024): March - August
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i2.79

Abstract

In this modern era, games are heavily influenced by technological advancements. The development of increasingly complex and captivating games can be played online by millions of players worldwide. The gaming industry in Indonesia has shown significant progress with the emergence of various games from local developers, one of which is Lokapala, a Multiplayer Online Battle Arena (MOBA) game that highlights the uniqueness of Indonesian culture. However, this game has received various responses from users on Google Play Store. This study aims to analyze user sentiment towards the Lokapala game on Google Play Store using the Support Vector Machine (SVM) algorithm. User review data were collected and pre-processed through stages such as data cleaning, tokenization, stopwords removal, and stemming. Subsequently, features were extracted using the TF-IDF method. The analysis results show that SVM with Radial Basis Function (RBF) kernel successfully classified user sentiment with an accuracy of 90% from a total of 300 reviews analyzed. This process not only helps in understanding overall user perceptions but also identifies specific aspects of the game that receive appreciation or criticism. Thus, game developers can use the results of this analysis to improve quality and user satisfaction, and strengthen the game's competitiveness in markets.
Study of Legal and Technical Aspect on Sedimentation Management in Indonesia Seas Hadiid, Muhammad Ilman; Febrianto, Andi; Prasetiyo, Eko; Tarya, Ayi; Djunarsjah, Eka
Journal of Social Research Vol. 5 No. 2 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i2.2993

Abstract

Dredging and marine sand export activities in Indonesia have raised concerns about their impacts on marine environmental quality and regulatory certainty in sedimentation management. This study examines the legal and technical aspects of marine sedimentation management policies, focusing on the implementation of Government Regulation No. 26 of 2023 on Marine Sedimentation Management and Government Regulation No. 31 of 2021 on Shipping. The legal review evaluates the coherence of these regulations with higher legal frameworks, including Law No. 32 of 2014 on Marine Affairs, the Job Creation Law, the United Nations Convention on the Law of the Sea (UNCLOS 1982), and international standards from the Oslo-Paris (OSPAR) Convention. The analysis reveals that PP 26/2023 and PP 31/2021 still exhibit vertical inconsistencies, overlapping institutional mandates, and limited alignment with international marine governance principles. Technically, this study analyzes changes in water turbidity using Sentinel-2 satellite imagery and the Normalized Difference Turbidity Index (NDTI) across four priority areas: Pulau Karimun Besar, Demak Regency, Kutai Kartanegara Regency, and Surabaya City. The findings indicate a strong, statistically significant correlation between NDTI values and marine sand export volume in Pulau Karimun Besar (r = 0.99; p = 0.0005), while other locations show weaker, non-significant correlations. These results highlight the need to integrate legal reform with spatially informed technical monitoring to enhance sustainable sedimentation management in Indonesia’s coastal waters.
Co-Authors Ayi Tarya Djunarsjah, Eka Eko Prasetiyo Faridha Nurhayati Hadiid, Muhammad Ilman Ishar, Rahmat Fajri Muhammad Nur Akbar Muiz, Rafiul