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Record W2884162525 · doi:10.31292/jb.v4i1.217

POTENSI PERMASALAHAN PENDAFTARAN TANAH SISTEMATIK LENGKAP (PTSL)

2018· article· en· W2884162525 on OpenAlexaff
Dian Aries Mujiburohman

Bibliographic record

VenueBHUMI Jurnal Agraria dan Pertanahan · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsParliamentNormativePolitical scienceBusinessPublic administrationWelfare economicsLawEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstrak: This paper aims to examine the potential problems of Complete Systematic Land Registration (PTSL) as the government's priority agenda to establish land registration throughout Indonesia. This study uses a normative legal research approach by analyzing the legislation related to land registration, especially PP. 24 of 1997 concerning Land Registration and Ministerial Regulation ATR/Ka. BPN No. 12 of 2017 as amended by Ministerial Regulation No. 6 of 2018. The potential of this problem relates to the issue of tax and income tax payable, human resources, facilities and infrastructure, issues absentee land, maximum excess of land ownership, abandoned land, announcement of physical and juridical data, and problems of application of the principles of contradictoire delimitation. The potential of this problem is described and is given alternative solutions on the implementation of PTSL. Alternative solution is by strengthening the regulation of PTSL in the form of Government Parliament (PP), either by revising PP. 24 of 1997 and by forming a separate PP on PTSL by clarifying the outlined problems.Intisari: Tulisan ini bertujuan untuk mengkaji potensi permasalahan pendaftaran sistematik lengkap (PTSL) sebagai agenda prioritas pemerintah untuk menyelengarakan pendaftaran tanah seluruh Indonesia. Kajian ini mengunakan pendekatan penelitian hukum normatif dengan cara menganalisis peraturan perundangundangan yang berkaitan dengan pendaftaran tanah, khususnya PP No. 24 Tahun 1997 tentang Pendaftaran Tanah dan Peraturan Menteri ATR/Ka. BPN No. 12 Tahun 2017 sebagaimana diubah dengan Permen No. 6 Tahun 2018. Potensi permasalahan ini berkaitan dengan masalah biaya Pajak PPh dan BPHTB terhutang, sumberdaya manusia, sarana dan prasarana, permasalahan tanah absentee, kelebihan maksimum dan tanah terlantar, masalah pengumuman data fisik dan data yuridis, serta masalah penerapan asas kontradiktur delimitasi. Potensi masalah ini di diskripsikan dan diberikan aternatif solusi dalam pelaksanaan percepatan PTSL. Aternatif solusinya adalah dengan cara memperkuat regulasi PTSL dalam bentuk Paraturan Pemerintah (PP) baik dengan cara merevisi PP No. 24 Tahun 1997 maupun dengan membentuk PP tersendiri mengenai PTSL yang pada pokoknya pengaturan isi-nya salah satunya memperjelas permasalahan-permasalahan yang diuraikan diatas.

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)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.003

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 head0.029
GPT teacher head0.301
Teacher spread0.273 · 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 designObservational
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

Citations90
Published2018
Admission routes1
Has abstractyes

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