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All Journal Journal of the Civil Engineering Forum INJURITY: Journal of Interdisciplinary Studies JURNAL RETENTUM
Purwanti, Nina
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Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Effect of Micro-Pile Mitigation on Seismic Performance of Liquefiable Ground Asokawati, Fajrina Citra; Fansuri, Muhammad Hamzah; Chang, Muhsiung; Lin, Hseu-Jen; Purwanti, Nina; Putra, Okri Asfino; Saputra, Pungky Dharma; Laksmi, Anasya Arsita
Journal of the Civil Engineering Forum Vol. 10 No. 1 (January 2024)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.6231

Abstract

Soil liquefaction and its associated ground failures, pose a significant threat, causing damage to engineering structures during earthquakes, and one of the most effective methods used to mitigate liquefaction in liquefied soil is micro-pile (MP) method. Therefore, this study aims to examine the current state of MP method as liquefaction countermeasure in the soil of the Coal Fired Power Station in Central Java, an area with a high liquefaction potential. A three-dimensional finite element analysis, conducted with OpenseesPL software, uses a numerical method to yield information about ground lateral deformation and excess pore pressure generation caused by MP method during seismic shaking. This result examines important design parameters, including diameter, spacing, length of MP, and inclination of ground, to address these issues. MP method increases the stiffness of soil, reducing excessive pore pressure and thereby minimizing liquefaction risks. In general, MP remediation appeared effective for any sloping ground. This study provides valuable information for devising an efficient remediation solution by comparing relevant variables, such as diameter, spacing, MP length, and ground inclination, under the same conditions. Numerical simulation with OpenseesPL yields results such as stress and strain path, acceleration time histories, excess pore pressure, displacement time histories, and maximum lateral displacement, which are then compared with various diameter parameters. The diY6-ameter parameters were compared to test how the additional diameter dimension affects the performance of the micropile provided to the soil. This will be demonstrated based on the results shown on excess pore pressure and maximum lateral displacement. This comparison shows that increasing MP diameter is more effective in reducing the risk of liquefaction.
Hak Asasi Manusia Versus Keamanan Nasional : Tantangan Kepolisian dalam Memberantas Terorisme Purwanti, Nina; Arifin Hoesein, Zainal
JURNAL RETENTUM Vol 7 No 1 (2025): IN PROGRESS
Publisher : Pascasarjana UDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/retentum.v7i1.5285

Abstract

Hak Asasi Manusia (HAM) dan keamanan nasional merupakan dua aspek yang sering kali saling bertentangan dalam penanganan terorisme. Penelitian ini bertujuan untuk menganalisis tantangan yang dihadapi oleh kepolisian dalam memberantas terorisme, dengan tetap menjaga keseimbangan antara penghormatan terhadap HAM dan perlindungan keamanan nasional. Penelitian ini menggunakan metode penelitian hukum normatif, dengan menggunakan pendekatan statue approach dan analytical approach. Hasil penelitian menunjukkan bahwa : 1). Upaya Kepolisian dalam pemberantasan terorisme menuntut keseimbangan antara menjaga keamanan nasional dan penghormatan terhadap hak asasi manusia dapat menggunakan pendekatan strategis yang mengutamakan tindakan preventif. 2). Penegakan hukum terhadap terorisme oleh Kepolisian menghadapi tantangan kompleks, mulai dari menjaga keseimbangan antara tindakan cepat dan penghormatan terhadap prinsip hak asasi manusia, hingga memastikan prosedur hukum yang sah.
The Role of Artificial Intelligence in the Implementation of Personal Data Protection Law in Indonesia Purwanti, Nina; Barthos, Megawati; Saputra, Tri Eka
INJURITY: Journal of Interdisciplinary Studies Vol. 4 No. 6 (2025): INJURITY: Journal of Interdisciplinary Studies
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i6.1448

Abstract

The development of artificial intelligence technology has brought significant impacts in various elements of daily life, such as in systems for managing personal data. Examining how artificial intelligence works in Indonesia's implementation of Law Number 27 of 2022 on the Protection of Personal Data is the aim of this study. The primary subjects of conversation are the legality of handling personal data with AI technology and the function of AI in Indonesia's execution of the Personal Data Protection Act. Normative legal research using a legislative framework is the methodology employed and analytical approach, through literature study of regulations, legal literature, and related policies. The results showed that: The role of artificial intelligence in the implementation of Law No. 27 of 2022 on Personal Data Protection in Indonesia presents both efficiency opportunities and serious challenges to the protection of individual privacy rights. Although this law has adopted data protection principles according to international standards, the unavailability of technical regulations and accountability mechanisms for the use of artificial intelligence creates a legal gap that needs to be addressed immediately. Therefore, legal certainty over the use of this technology requires regulations that are adaptive, principle-based, and uphold human rights through institutional strengthening, algorithmic supervision, and the application of the principle of explainability in responsive and humanist governance. This research recommends the need to strengthen technical regulations, algorithmic accountability mechanisms, and adaptive institutional supervision so that Human rights and legal certainty are upheld when artificial intelligence is used to manage personal data.
Co-Authors Asokawati, Fajrina Citra Barthos, Megawati Chang, Muhsiung Laksmi, Anasya Arsita Lin, Hseu-Jen Muhammad Hamzah Fansuri, Muhammad Hamzah Putra, Okri Asfino Saputra, Pungky Dharma Saputra, Tri Eka Zainal Arifin Hoesein