Article Per Year (5 Year)
p-Index From 2021 - 2026
3.225
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Vokasi Jurnal Usia Dini Yustisia Jurnal Manajemen Pendidikan Diponegoro Law Review PADJADJARAN Jurnal Ilmu Hukum (Journal of Law) Journal of Indonesian Legal Studies Substantive Justice International Journal of Law Technomedia Journal Unes Law Review Jurnal Al-Dustur DIFFRACTION: Journal for Physics Education and Applied Physics Petitum TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Golden Ratio of Law and Social Policy Review (GRLSPR) Qawanin Jurnal Ilmu Hukum Pedagogic Research - Applied Literacy Journal SASI Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi ADVANCED PRIVATE LEGAL INSIGHTS
Rizki Ramadani
Mahasiswa Program Studi Agribisnis Fakultas Pertanian Universitas Sumatera
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
Respon Meteorologi dan Oseanografi Perairan Indo-Pasifik terhadap Kejadian Multi Siklon Tropis pada November–Desember 2021 Sabrina, Purwanti Lelly; Ramadani, Rizki; Darmawan, Yahya
DIFFRACTION: Journal for Physics Education and Applied Physics Vol 7, No 2 (2025)
Publisher : Pendidikan Fisika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/diffraction.v7i2.17887

Abstract

Indonesia tidak mengalami kondisi siklon tropis secara langsung, namun sering terdampak oleh siklon tropis yang terjadi di Samudera Hindia dan Samudera Pasifik. Hal ini mempengaruhi kondisi atmosfer dan oseanografi seperti angin, curah hujan, gelombang, dan suhu permukaan laut. Penelitian ini bertujuan untuk menganalisis karakteristik kondisi meteorologi dan oseanografi pada fase bibit dan siklon tropis yang terjadi pada periode November – Desember 2021 serta kaitannya dengan variabilitas iklim regional dan global. Terdapat 4 kejadian yaitu siklon tropis Paddy, Nyatoh, bibit siklon 94 W dan 95 S. Hasil menunjukkan bahwa kecepatan angin selama kejadian siklon tropis berkisar antara 15 – 29 m/s dengan tinggi gelombang 2,5 – 5 m. Siklon tropis mempengaruhi peningkatan curah hujan beberapa waktu setelah kejadian, dengan curah hujan maksimum mencapai 106 mm/hari pada Siklon Tropis Nyatoh. Indeks ENSO 3.4 menunjukkan kondisi La Niña kuat pada periode penelitian, sementara indeks IOD berada pada fase netral. Suhu permukaan laut di Samudera Pasifik dan perairan Indonesia berkisar 24 – 32 °C, sedangkan di Samudera Hindia 24 – 30 °C. Hasil penelitian ini diharapkan dapat menjadi dasar dalam peningkatan pemahaman dampak siklon tropis terhadap laut – atmosfer Indonesia, serta mendukung upaya mitigasi dan peringatan dini bencana hidrometeorologi.
Artificial Intelligence Is Not an Author: The Limits of Human Creative Contribution in Copyright Protection rasyid, cindyramadani; rasyid, cindy ramadani; Ramadani, Rizki; Mangarengi, Arianty Anggraeny
ADVANCED PRIVATE LEGAL INSIGHTS Vol. 1 No. 2 (2025): ADVANCES PRIVATE LEGAL INSIGHTS (APRIL)
Publisher : Faculty of Law, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56087/zpqxsw59

Abstract

Penelitian ini bertujuan untuk menganalisis status hukum karya yang dihasilkan dengan bantuan kecerdasan buatan dalam sistem hak kekayaan intelektual Indonesia serta merumuskan mekanisme perlindungan hukumnya. Ketentuan peraturan perundang-undangan hak cipta dianalisis melalui penafsiran sistematis, ekstensif, dan teleologis guna menjawab permasalahan terkait originalitas dan subjek pencipta.Penelitian ini menggunakan metode yuridis normatif dengan pendekatan peraturan perundang-undangan, konseptual, kasus, dan sejarah. Data diperoleh melalui studi kepustakaan terhadap bahan hukum primer, sekunder, dan tersier, yang dianalisis secara kualitatif dengan metode interpretasi hukum. Hasil penelitian menunjukkan bahwa status hukum karya berbasis kecerdasan buatan ditentukan oleh adanya kontribusi kreatif manusia. Berdasarkan penafsiran Pasal 1 angka 2 jo. Pasal 1 angka 3 Undang-Undang Nomor 28 Tahun 2014 tentang Hak Cipta, karya yang dihasilkan dengan bantuan kecerdasan buatan dapat dilindungi hak cipta sepanjang terdapat kontribusi kreatif manusia yang substansial, sedangkan karya yang dihasilkan sepenuhnya oleh kecerdasan buatan tanpa keterlibatan kreatif manusia tidak memenuhi kualifikasi sebagai ciptaan. Perlindungan hukum tersedia melalui mekanisme preventif dan represif, namun masih terdapat kekosongan hukum terkait kriteria operasional kontribusi kreatif manusia. Sebagai rekomendasi, pemerintah perlu menetapkan pedoman teknis melalui peraturan pelaksana untuk memperjelas kriteria kontribusi kreatif manusia dalam pencatatan dan perlindungan ciptaan berbasis kecerdasan buatan guna menjamin kepastian hukum. Abstract: This study aims to analyze the legal status of works generated with the assistance of artificial intelligence within Indonesia's intellectual property rights system and to formulate appropriate legal protection mechanisms. The provisions of copyright legislation are examined through systematic, extensive, and teleological interpretation in order to address issues concerning originality and the subject of authorship. This study employs a normative juridical method with statutory, conceptual, case, and historical approaches. Data were obtained through library research on primary, secondary, and tertiary legal materials, which were analyzed qualitatively using legal interpretation methods. The findings indicate that the legal status of artificial intelligence-based works is determined by the presence of human creative contribution. Based on the interpretation of Article 1 Point 2 in conjunction with Article 1 Point 3 of Law Number 28 of 2014 on Copyright, works generated with the assistance of artificial intelligence may be protected under copyright law insofar as substantial human creative contribution is present, whereas works produced entirely by artificial intelligence without any human creative involvement do not qualify as copyrightable works. Legal protection is available through both preventive and repressive mechanisms; however, a legal vacuum persists with respect to the operational criteria for determining human creative contribution. As a recommendation, the government should establish technical guidelines through implementing regulations to clarify the criteria for human creative contribution in the registration and protection of artificial intelligence-based works, thereby ensuring legal certainty.
Analisis Komparatif Efisiensi AlphaDev dan Algoritma Sorting Konvensional pada Implementasi C++ Ramadani, Rizki; Bagus Prasetyo Santoso; Muhammad Yusuf Rusty Al Badar; Imtinan Hanazain; Imam Prayogo Pujiono
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp486-494

Abstract

Data sorting is a fundamental component of modern computing, especially when handling large-scale datasets, where time efficiency and memory usage are critical to system performance. Over the past decades, classical algorithms such as Quick Sort, Merge Sort, and Insertion Sort have been extensively optimized and widely implemented in the C++ standard library. Recent developments in artificial intelligence have introduced a new approach through AlphaDev, a deep reinforcement learning agent that successfully discovered small-scale sorting routines more efficient than manually optimized code, which have since been integrated into the C++ LLVM library. This study conducts a comparative analysis between AlphaDev’s sorting routines and conventional algorithms commonly used in C++ implementations, namely Insertion Sort, Introsort (as represented by std::sort), and Merge Sort. The comparison is based on two primary metrics: execution time (µs/ms) and additional memory consumption (auxiliary space). Testing was performed on integer-type data of varying sizes and distributions, ranging from small sorts (N ≤ 30) to large-scale datasets (N up to 10⁶), with each scenario executed repeatedly to obtain stable average runtimes. Experimental results show that for very small arrays (N ≤ 30), AlphaDev consistently outperforms Insertion Sort by approximately 15–30% and is about 5–12% faster than the conventional Introsort base case. When integrated as the base case within Introsort for large-scale sorting, AlphaDev’s routines deliver an aggregate performance improvement of around 1–2% compared to standard Introsort. In terms of memory usage, both AlphaDev and Insertion Sort maintain O(1) space complexity with negligible additional memory, whereas Merge Sort requires O(N) auxiliary space, making it the most memory-intensive algorithm in this evaluation. These findings reaffirm that no single sorting algorithm is optimal for all conditions: AlphaDev is particularly well-suited for small-scale sorting and effective as a base case in hybrid algorithms, while divide-and-conquer approaches such as Introsort remain dominant for large datasets. This study provides empirical evidence that integrating AI-discovered algorithms into programming language libraries can yield measurable performance gains, which, although seemingly modest in percentage terms, are significant in large-scale computational workloads.
Delegitimization of the Constitutional Court in the Age of Artificial Intelligence: A Critical Review of the Shift from Contextual Justice to Legal Formalism Asyraf, Muammar; Ramadani, Rizki
Golden Ratio of Law and Social Policy Review Vol. 5 No. 2 (2026): January - June
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grlspr.v5i2.2081

Abstract

The rapid infiltration of Artificial Intelligence (AI) into various sectors, including the legal domain, generates a fundamental paradox between technocratic efficiency and substantive justice. This study aims to analyze the threats posed by the mechanistic logic of AI to the epistemic authority of the Constitutional Court (MK) as the guardian of the constitution. Employing a juridical-normative method with a conceptual approach, this research conducts a systematic literature study of legal, legal philosophy, and legal technology sources published between 2017 and 2025, analyzed through hermeneutic interpretation encompassing textual, conceptual, and teleological dimensions. The findings reveal two principal threats: first, AI risks shifting the paradigm of constitutional interpretation away from a dynamic and contextual living constitution approach toward rigid legal formalism anchored in historical data, thereby neglecting moral, social, and contextual dimensions; second, the dominance of algorithmic logic threatens the delegitimization of the Constitutional Court, as algorithmically influenced decisions fail to capture the complexity of societal justice and the humanistic dimension of judicial proceedings. Unlike previous studies that focus on technical aspects or general algorithmic ethics, this research introduces the conceptualization of a dichotomy between mechanistic justice and contextual justice in the specific context of Indonesia’s civil law constitutional adjudication. The study concludes that while AI serves a legitimate role as a technical tool, its logical dominance fundamentally endangers the essence of the Constitutional Court as an institution that resolves disputes through wisdom, conscience, and constitutional values. A strict regulatory framework comprising five key components is therefore proposed to ensure that AI remains a supportive instrument rather than a substitute for constitutional authority.
Balancing State Revenue and Fair Competition in Social Commerce Platforms Abbas, Ilham; Ramadani, Rizki
Yustisia Vol 14, No 2: August 2025
Publisher : Faculty of Law, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/yustisia.v14i2.93969

Abstract

Indonesia's growing population has contributed to the expansion of e-commerce, but state revenue stagnates. Meanwhile, social commerce platforms have created harmful rivalry, threatening MSMEs' sustainability. The study seeks to identify legal issues in social commerce platforms, including taxation and fair competition, and provide a regulatory framework that maximizes digital sector state revenue while protecting domestic firms. This study uses legal research methodology, focusing on a statutory and comparative approach. The finding reveals that insufficient tax compliance among e-commerce participants, inadequate oversight of foreign social commerce businesses, and predatory pricing practices are the main causes of structural inequality.  Additionally, uneven government policies reduce domestic enterprises' competitiveness.  This study recommends mandating foreign social commerce platforms to establish a permanent presence in Indonesia to comply with national tax regulations, allocating a minimum of 30% of social commerce tax revenues to empower MSMEs and support digitalization programs, implementing cross-ministerial big data monitoring for transaction oversight, and strengthening the Business Competition Supervisory Commission to combat predatory behavior. A comprehensive regulatory reform is expected to balance governmental interests, MSMEs, and the global digital economy.
Co-Authors Abbas, Ilham Amin, Fadlullah Amiruddin Amiruddin Andi Azhar Apri Nuryanto Arifin, Muhammad Ya'rif Arizqi Ihsan Pratama Arsy, Muhammad Artha Mahindra Diputera Asriati Asriati, Asriati Asyraf, Muammar Bagus Prasetyo Santoso Bima, Muhammad Rinaldi Busthami, Dachran Deasy, Deasy Yuni Pratiwi Eka Saputra. B, Imran Hamzah, Yuli Adha Imam Prayogo Pujiono Imtinan Hanazain Indri Handayani, Indri Mamonto, Moch Andry Wikra Wardhana Mamonto, Moch. Andri Wikra Wardhana Mangarengi, Arianty Anggraeny Mangerengi, Arianty Anggraeni Muhammad Ilyas Muhammad Nur Muhammad Yusuf Rusty Al Badar Rahman, Ali rasyid, cindy ramadani rasyid, cindyramadani Razak, Askari Roni Sinaga Sabrina, Purwanti Lelly Setiadi, Ade Suryani, St. Wahida Wahida Wardhana Mamonto, Moch Andry Wikra Yahya Darmawan Yoga Pratama