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PENERAPAN NETWORK PLANNING PADA PROYEK PEMBANGUNAN PERUMAHAN MUTIARA RESIDENCE DI DESA PENGAMBENGAN KABUPATEN JEMBRANA

2018· article· en· W2910398785 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueE-Jurnal Manajemen Universitas Udayana · 2018
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCritical path methodGantt chartResidenceComputer scienceOperations managementChartOperations researchMathematicsEngineeringStatisticsEconomicsSystems engineering

Abstract

fetched live from OpenAlex

ABSTRACT
 The increasing number of construction companies in Indonesia poses a challenge for companies to improve the effectiveness and efficiency of resource management in order to excel among competitors. The purpose of this study is to determine whether the implementation of Network Planning can improve efficiency and effectiveness in the allocation of time and cost on the construction project. The research method is a case study to address the problem at Putra Dewata PT Karya Tama concerning network planning of Mutiara Residence Housing project. Data analysis technique used is Critical Path Method. The results show that the project completion time is 142.5 days, 14.5 days faster than the calculation result by the company with Gantt Chart method. This will provide benefits in terms of cost of completion of the project, where cost efficiencies that can be gained is Rp. 20,807,500.
 
 Keywords: network planning, critical path method, critical path.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.200
Teacher spread0.187 · 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