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Sukanto
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Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Other

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IMPLEMENTATION OF SANCTIONS FOR VIOLATIONS OF THE POLICE PROFESSIONAL CODE OF ETHICS IN ACCORDANCE WITH THE REPUBLIC OF INDONESIA POLICE LAW NUMBER 7 OF 2022 AT THE SURABAYA POLICE HEADQUARTERS Sukanto; Soekorini, Noniek; Astutik, Sri
Case Law : Journal of Law Vol. 6 No. 1 (2025): Case Law : Journal of Law | Januari 2025
Publisher : Program Studi Hukum Program Pasca Sarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/caselaw.v6i1.4773

Abstract

The police code of ethics is a moral guideline and aims to prevent abuse of authority and increase accountability. Its implementation is often hampered by the lack of knowledge of police officers. Every Polri personnel is expected to demonstrate integrity and ethics in their duties. The type of research that the author uses in this study is sociological/empirical research, namely legal research with primary data or data obtained directly from the source. The results of the study indicate that cases of violations of the police profession code of ethics at the Surabaya City Resort are known to have violations committed, namely violations of personality ethics, community ethics, institutional ethics, where in the application of sanctions are carried out with ethical sanctions, and administrative sanctions including dishonorable dismissal from the police institution. This study also discusses the factors that influence the enforcement of the code of ethics of police members in improving the professionalism of the Police consisting of two factors, namely external factors, namely strengths and constraints, while internal factors are related to strengths, weaknesses and culture.
Penerapan Metode Gradient Boosted Tree untuk Klasifikasi Penyakit Tanaman Padi : Penelitian Sukanto; Hasbi Firmansyah; Wahyu Asriyani
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5111

Abstract

Tanaman padi merupakan komoditas pangan utama yang memiliki peran penting dalam ketahanan pangan. Penyakit pada tanaman padi dapat menurunkan produktivitas dan kualitas hasil panen sehingga diperlukan metode yang efektif untuk melakukan identifikasi penyakit secara dini. Penelitian ini bertujuan untuk menerapkan metode Gradient Boosted Tree dalam melakukan klasifikasi penyakit tanaman padi menggunakan Paddy Dataset yang diperoleh dari UCI Machine Learning Repository. Dataset tersebut terdiri dari beberapa kelas penyakit padi yang digunakan sebagai data latih dan data uji. Tahapan penelitian meliputi proses prapemrosesan data, pembagian data, pembangunan model klasifikasi, serta evaluasi kinerja model. Evaluasi dilakukan menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa metode Gradient Boosted Tree mampu memberikan performa yang baik dalam mengklasifikasikan penyakit tanaman padi. Dengan demikian, metode ini dapat dijadikan sebagai salah satu pendekatan yang efektif dalam membantu identifikasi penyakit tanaman padi secara otomatis.
Co-Authors Asriyani, Wahyu Hasbi Firmansyah Soekorini, Noniek SRI ASTUTIK