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All Journal Hutanasyah : Jurnal Hukum Tata Negara Journal of Innovative and Creativity
AR, Muhamad Habibullah
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Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Tinjauan Sosial Pertambangan Minyak Ilegal di Kabupaten Musi Rawas Utara Tahun 2023 AR, Muhamad Habibullah
Hutanasyah : Jurnal Hukum Tata Negara Vol. 2 No. 1 (2023): Agustus
Publisher : STAI Bumi Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37092/hutanasyah.v2i1.643

Abstract

There are at least 8,000 illegal oil wells managed by the community illegally, spread across several districts including Musi Banyuasin, Pali and Musi Rawas Utara which are more concerned that illegal wells have entered protected forest areas and restoration forests protected by the state. Illegal oil well mining that occurs in North Musi Rawas district comes from Belani Village, Rawas Ilir District and its surroundings, and some of the crude oil under the Pantai Village of Rupit District has been going on for the past few years. Law Number 22 of 2001 concerning Oil and Gas is prohibited from illegal oil mining. This research uses Empirical Juridical methods related to legal issues in practice or actual reality in the field. Empirical research is so that legal research methods that seek to see law in a real sense without any engineering occurring or can be said to see, examine how law works in society. The results concluded that the illegal oil miners in Belani village and Pantai village did not carry out oil mining according to the applicable procedures but residents did it in the traditional way. As a result of oil mining and refining, it continues at this time due to the lack of concern from the surrounding community to report this illegal mining incident to the authorities, in this case the Rupit Police Chief and Musi Rawas Utara Police Station. Another factor in oil mining and refining is still happening is the change in the pattern of society where previously oil palm and rubber farmers have now turned into illegal oil miners and refiners, they consider the income from mining to be greater than that of oil palm and rubber farmers.
Kewenangan Dan Tanggung Jawab Pemerintah Dalam Hukum Tatanegara AR, Muhamad Habibullah; Anwar, Syaiful; Fauzi, Muhammad; Yani, Ahmad; Siswoyo, Siswoyo; Miranda, Miranda
Hutanasyah : Jurnal Hukum Tata Negara Vol. 3 No. 2 (2025): Februari
Publisher : STAI Bumi Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37092/hutanasyah.v3i2.1004

Abstract

The authority and responsibility of the government from the perspective of constitutional law, focusing on the relationship between the two in creating an effective and just government. The authority of the government in constitutional law covers various fields, from policy making to management of state resources, which must be carried out by prioritizing the principles of democracy and human rights. The responsibility of the government, on the other hand, demands accountability in every action and decision taken to ensure that the interests of the people and the state are achieved without abuse of power. This study uses a normative approach by analyzing various regulations and relevant literature to explore the legal implications of the authority and responsibility of the government. The findings of this article indicate that a clear understanding of authority and responsibility within the framework of constitutional law is essential to realizing good governance and maintaining political and social stability. The government must always act in accordance with the law, be transparent, and accountable in exercising its authority in order to gain public trust and ensure justice and public welfare.
The The Role of Artificial Intelligence and Machine Learning in Improving the Accuracy of Cost Prediction and Budgeting : A Review of the Literature Julica, Lisa Aulia; Yanti, Pika Meri; AR, Muhamad Habibullah; Ridho, Muhammad Rasyid; Jaya, Perdian Okta
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6282

Abstract

The complexity of the contemporary business environment demands a more precise approach to cost prediction and budgeting to maintain an organizational competitive advantage. This study examines the role of Artificial Intelligence (AI) and Machine Learning (ML) in improving the accuracy of cost prediction and budgeting through a Systematic Literature Review of ten high-quality journal articles published for the period 2020-2025. The PRISMA methodology was applied with the stages of identification of 309 articles, elimination of 102 duplicates, screening of 207 articles, evaluation of 112 full-texts, and final selection of 10 articles that met the eligibility criteria. The results of the literature synthesis revealed that deep learning models such as LSTM and ensemble methods such as XGBoost achieved superior accuracy with a MAPE of 2.88-9% and an R² score of 0.90-0.95, significantly outperforming conventional methods. The effectiveness of AI techniques is context-specific with optimal deep learning for high complexity, classical machine learning for organizations with infrastructure limitations, and regression models for transparency priorities. Implementation challenges include data quality, the black box nature of algorithms, and substantial investment requirements. Optimization strategies include a hybrid workflow approach, gradual implementation, and data governance strengthening. The integration of AI with big data analytics enables dynamic budgeting that is adaptive to market volatility, providing strategic implications for financial management practitioners in optimizing resource allocation and data-driven decision-making.
Co-Authors ahmad yani Jaya, Perdian Okta Julica, Lisa Aulia Miranda, Miranda Moh. Rasyid Ridho Siswoyo Siswoyo Syaiful Anwar Syamsiar, Syamsiar Yanti, Pika Meri