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Record W2182399943

Feasibility Investment Analysis on Development Telkom Landmark Tower Building at PT Telkom Landmark Tower

2013· article· en· W2182399943 on OpenAlexaboutno aff
Qoriatul Husna, Erman Sumirat

Bibliographic record

VenueIndonesian Journal of Business Administration · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFinanceInvestment (military)Profitability indexPayback periodLandmarkBusinessQuarter (Canadian coin)EconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

PT Telekomunikasi Indonesian, Tbk (Telkom) intends for the consolidate entire operational activities Telkoms' office and subsidiaries which at this time some of them still rent office building to another party in Jakarta, to be united into one office building which will referred as Telkom Landmark Tower (TLT). To apply this program, the Board of Directors Telkom has assigned that the TLT will be built in land belonging to Telkom in Jalan Jendral Gatot Subroto, Jakarta. Property commercial industry, in particular office space on quarter IV-2012 in the Jabodebek experiencing positive development, it is indicated with increase in supply which followed with increase in occupancy rates and sales as well as tariff lease and price the selling. Based on the fact Telkom plans to build the building which can accommodate the needs office space for Telkom Group, hence it can decrease rent expense office buildings in Group. In conduct of feasibility investment analysis on the construction of TLT using capital budgeting method, with some approaches namely Payback Period, Net Present Value, Internal Rate of Return and Profitability Index. Based on the results of calculation and feasibility investment analysis using capital budgeting method obtained the result that the investment of the construction of TLT feasible to be implemented.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.240
Teacher spread0.220 · 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 teacher head, not a consensus.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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