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All Journal Syarah: Jurnal Hukum Islam dan Ekonomi Jurnal Pendidikan Perikanan Kelautan (Journal of Fisheries and Maritime Studies)
Syakira, Azmi
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Religion Humanities Economics, Econometrics & Finance Social Sciences

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The Relevance of Hudud and Ta'zir in Corruption Law Enforcement through the Perspective of Islamic Criminal Law Fadzar, Angga; Syakira, Azmi; Khotijah, Khotijah; Citra Ramadhan, Rere; Robiansyah, Firman
Syarah: Jurnal Hukum Islam dan Ekonomi Vol. 14 No. 1 (2025): SYARAH : Jurnal Hukum Islam dan Ekonomi
Publisher : Fakultas Syariah Institut Agama Islam Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47766/syarah.v14i1.6118

Abstract

Corruption is a serious crime that has a widespread impact on the state and society. However, law enforcement efforts still face various structural and implementation obstacles, such as weak deterrent effects, political intervention, and inconsistent court decisions. This study aims to explore the relationship between the concepts of hudud and ta'zir in Islamic criminal law and efforts to combat corruption within the framework of modern law. The research method used is qualitative through literature review, examining classical fiqh texts, national legislation, and relevant scientific literature. The results of the study indicate that corruption does not fall under the category of hudud because it does not meet the technical and substantive requirements determined by sharia. However, corruption can be classified as a ta'zir crime, which gives judges or authorities the flexibility to impose penalties based on the severity of the crime, ranging from fines, asset recovery, removal from office, to the death penalty in cases that cause widespread harm to the state. Compared to Indonesia's positive legal system, which tends to be weak in enforcing strict sanctions, the principles of ta'zir are considered more responsive and adaptive. Therefore, this finding recommends that the principles of ta'zir be used as a normative and philosophical reference in the formulation of national legal policies to create a more fair, strict, and socially just system for enforcing anti-corruption laws.
ANALISIS BIBLIOMETRIK: PENELITIAN SISTEM PENDUKUNG KEPUTUSAN BUDIDAYA PERIKANAN AIR TAWAR MENGGUNAKAN SOFTWARE VOSVIEWER Nabila, Shofia; Fadzar, Angga; Syakira, Azmi; Habibirrohim, Habibirrohim; Azkiya, Muhammad Azkal; Rahmadhani, Oktaviani Audhi
Jurnal Pendidikan Perikanan Kelautan (Journal of Fisheries and Maritime Studies) Vol 4, No 2 (2024): Desember 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jppk.v4i2.90797

Abstract

Budidaya perikanan air tawar memiliki potensi ekonomi yang signifikan, namun kompleksitas dalam pengambilan keputusan di bidang ini memerlukan sistem pendukung keputusan yang komprehensif. Penelitian ini bertujuan mengidentifikasi tren dan kesenjangan penelitian dalam topik sistem pendukung keputusan untuk budidaya perikanan air tawar melalui analisis bibliometrik, menggunakan perangkat lunak Publish or Perish dan VOSviewer pada rentang tahun 2019 sampai 2024. Metodologi penelitian dilakukan dari pengumpulan data melalui tinjauan pustaka menggunakan Publish or Perish dari Google Scholar dengan total 200 data, dilanjut dengan penjaringan data berdasarkan inklusi-eksekusi di Microsoft Excel, serta menggunakan VOSviewer untuk visualisasi network, density, dan overlay sebagai tahap analisis bibliometrik. Hasil analisis menunjukkan variasi tujuan penelitian, namun terdapat kesenjangan, terutama dalam populasi yang menjadi fokus kajian. Rekomendasi untuk penelitian selanjutnya yaitu memperluas fokus ke arah budidaya perikanan air payau. Penelitian ini memberikan kontribusi secara signifikan, baik secara akademis maupun praktis. Secara akademis, penelitian ini berkontribusi dalam pengembangan metodologi sistem pendukung keputusan di budidaya perikanan air tawar. Sudut pandang praktis, hasilnya mendukung pengimplementasian teknologi berbasis machine learning yang berpotensi dalam mengoptimalkan pengambilan keputusan di sektor perikanan.
Co-Authors Azkiya, Muhammad Azkal Citra Ramadhan, Rere Fadzar, Angga Habibirrohim, Habibirrohim Khotijah Khotijah Nabila, Shofia Rahmadhani, Oktaviani Audhi Robiansyah, Firman