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Record W2277090765

JUDICIAL REVIEW INTERNATIONAL AIRPORT SECURITY SYSTEM IN INDONESIA IN ORDER: CRIMINAL NO PIRACY PREVENTION AND IMPLEMENTATION IN AIRCRAFT INTERNATIONAL AIRPORT MINANGKABAU

2014· article· en· W2277090765 on OpenAlexaboutno aff
Yohanas Frengki, Poniar Warsono, Deswita Rosra

Bibliographic record

VenueAbstract of Undergraduate Research, Faculty of Law, Bung Hatta University · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationAirport securityConventionLawOrder (exchange)International airportAviationNational securityCivil aviationAviation lawComputer securityInternational lawPolitical scienceBusinessEngineeringTransport engineeringComputer sciencePublic international lawPoliticsFinance
DOInot available

Abstract

fetched live from OpenAlex

Abstract Aircraft piracy offenses are offenses that endanger the security penerbangan. Bandar Minangkabau International Airport plays an important role in the prevention of the crime of aircraft hijacking . The formulation of the problem raised is how the arrangement of international airport security systems and aircraft piracy offenses in International and National ? and how the implementation of international airport security systems in order to prevent the crime of aircraft hijacking in BIM ? . This thesis uses methods of sociological laws are based on primary and secondary data sources were processed qualitatively . Of the thesis is concluded that the setting Security Systems International Airport and the National internationally regulated , among others : Annex 17 of the International Civil Aviation Organization , Security , Document 9246 ATS Planning Manual of Security and Facility Security Personnel , Law No. 1 of 2009 on the flight , Prime Minister of Transportation Regulation Number 31 Year 2013 on National Aviation Security Programme . Internationally , the criminal act is governed by three airlines , namely the International Convention on the Tokyo Convention (1963 ) , Hague Covention (1970 ) , and the Montreal Convention (1971 ) . With the ratification of the three conventions through Law No. 2 of 1976, the Indonesian government issued Law No. 4 of 1976 on the Amendment and the addition of several articles in the Criminal Code of Crimes and Crimes Against Flight Facilities / Infrastructure Flight . In the prevention of the crime of hijacking aircraft , BIM Security Officers conduct an examination of all persons and goods , especially the passengers , baggage , object carried in the hand , mail , cargo before it is loaded into the aircraft . This is to prevent the entry of dangerous goods (dangerous goods) illegally to the aircraft which can lead to a crime of Aircraft hijacking. Keywords : security system , Prevention , Piracy , airport . Daftar Pustaka Buku-buku Achmad Moegandi, Mengenal Dunia Penerbangan Sipil, Sinar Harapan, Jakarta,1996. Boer Mauna, Hukum Internasional (Pengertian, Peranan dan Fungsi Dalam Era Dinamika Global), Alumni, Bandung. 2000. Djoko Prakoso, Tindak Pidana Penerbangan di Indonesia, Ghalia Indonesia. Jakarta, 1984. E Suherman, Hukum Udara Indonesia dan Internasional, Alumni, Bandung. 1983. I Wayan Parthiana, Pengantar Hukum Internasional, Mandar Maju, Bandung. 1990. Martono, Pengantar Hukum Udara Nasional dan Internasional, Raja Grafindo Persada, Jakarta 2012. Mochtar Kusumaatmadja dan Etty R. Agoes, Pengantar Hukum Internasional. Alumni, Bandung. 2003. Moeljatno, Asas-asas Hukum Pidana, Rineka Cipta, Jakarta. 1993. Priyatna Abdurrasyid, Kedaulatan Negara di Ruang Udara, Pusat Penelitian Hukum Angkasa (Air & Space Law Research Centre), Jakarta. 1972. Soejono Soekanto, Pengantar Penelitian Hukum, Universitas Indonesia Press. Jakarta. 1986. Sudradjat M Bassar, Tindak-tindak Pidana Tertentu di Dalam Kitab Undang- undang Hukum Pidana, Remadja Karya, Bandung. 1984. Zainal Abidin A Farid, Hukum Pidana 1, Sinar Grafika, Jakarta. 1995.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.002
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.384
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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