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All Journal SIMPUL: Jurnal Ilmu Politik dan Hukum Indonesian Journal of Engineering (IJE)
Andika, Iswandi
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Engineering Law, Crime, Criminology & Criminal Justice

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Perkembangan Hukum Tata Negara Dalam Menegaskan Prinsip Negara Hukum Pada Praktik Ketatanegaraan Modern Wahyuni, Eni; Safitri, Eka; Andika, Iswandi
SIMPUL: Jurnal Ilmu Politik dan Hukum Vol. 1 No. 4: SIMPUL: Jurnal Ilmu Politik dan Hukum, Desember 2025
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/simpul.v1i4.318

Abstract

This study aims to analyze the development of constitutional law in affirming the principle of the rule of law in modern constitutional practice. The main focus of the study is directed at the shift in the function of constitutional law from merely regulating the structure and authority of state institutions to a normative instrument that guarantees the limitation of power, protection of citizens' rights, and accountable governance. This study uses a normative juridical approach by examining legal doctrine, legislation, and the development of constitutional thought in the context of a modern rule of law. The results of the study indicate that consistency between constitutional norms and constitutional practice is a determining factor in the effectiveness of the rule of law principle. The constitution serves as the primary foundation in building the legitimacy of power and as a means of controlling potential abuse of authority. However, strong legal norms will not be effective without the support of independent institutions, functioning oversight mechanisms, and a legal culture that upholds the rule of law. This study also finds that the dynamics of modern constitutional law, including the digitalization of government and the increasing complexity of state administration, demand adaptive and responsive reform of constitutional law. The study's conclusion confirms that strengthening the principle of the rule of law can only be achieved through the development of constitutional law that is sustainable, systematic, and oriented towards the values of justice and the public interest. Such constitutional law is the main foundation for realizing modern constitutional practices that are democratic, transparent and responsible.
Pengembangan Sistem Deteksi Dini Kerusakan Jembatan Menggunakan Deep Learning Berbasis Citra dan Sensor Getaran Gunawan, Aria; Irawan, Toni; Andika, Iswandi
Indonesian Journal of Engineering (IJE) Vol. 6 No. 2 (2026): Edisi Maret
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69503/ije.v6i2.1628

Abstract

Kerusakan jembatan menjadi isu kritis dalam sistem transportasi karena berdampak langsung pada keselamatan dan keberlanjutan infrastruktur. Penelitian ini bertujuan mengembangkan sistem deteksi dini kerusakan jembatan berbasis deep learning multimodal yang mengintegrasikan data citra dan sinyal getaran dalam satu arsitektur terpadu. Pendekatan ini mengatasi keterbatasan metode single modality dalam Structural Health Monitoring, baik berbasis inspeksi visual maupun analisis getaran. Metode yang digunakan adalah kuantitatif eksperimental dengan pengolahan data citra kerusakan dan sinyal getaran yang ditransformasikan ke domain time-frequency. Model dirancang menggunakan arsitektur dua cabang untuk mengekstraksi fitur dari masing-masing modalitas, kemudian digabungkan melalui feature fusion dan attention layer guna meningkatkan akurasi klasifikasi. Hasil menunjukkan bahwa integrasi multimodal meningkatkan performa deteksi dibandingkan pendekatan tunggal. Model mampu mengenali kerusakan permukaan dan karakteristik dinamis struktur secara simultan, serta lebih stabil terhadap noise dan variasi data. Sistem ini juga berpotensi diterapkan secara real-time untuk mendukung pemeliharaan jembatan berbasis data. Penelitian ini berkontribusi pada pengembangan Structural Health Monitoring modern yang lebih adaptif, akurat, dan komprehensif melalui integrasi kecerdasan buatan dan sensor multimodal.
Co-Authors Eka Safitri Gunawan, Aria Irawan, Toni Wahyuni, Eni