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Record W4403239550 · doi:10.29313/bcsurp.v4i3.15759

Analisis Biaya Dampak Lingkungan Pembangunan RS Salman Hospital pada Tahap Pra-Konstruksi, Konstruksi dan Operasional

2024· article· en· W4403239550 on OpenAlexaff
Ullya Andani, Yulia Asyiawati, Tonny Judiantono

Bibliographic record

VenueBandung Conference Series Urban & Regional Planning · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Abstract. The need for public service facilities, especially health facilities in the form of hospitals, continues to increase along with population growth. However, hospital construction also has significant environmental impacts from the pre-construction, construction, to operational stages. This impact is related to environmental costs, where the final result depends on the comparison between the value of the costs and the benefits produced. This research aims to identify environmental costs arising from the construction of Salman Hospital from social, economic and cultural aspects. The method used in this research is environmental impact cost analysis (ABDL) and economic valuation analysis. The research results show that the hospital construction area of ​​18,258 m², which was previously agricultural land, has a negative environmental value of -Rp. 1,172,129,863.98. This value is considered a cost because of the environmental benefits lost due to development. At the construction stage, impacts such as hiring workers and mobilizing tools and materials produce an environmental value of IDR 7,445,597,708.00. Furthermore, at the operational stage, the impact of type C hospital activities and maintenance of infrastructure is estimated to reach IDR 2,625,334,061.28. The total environmental impact of the construction of Salman Hospital reached IDR 8,898,801,905.30, which shows a positive impact on society. Recommendations are given to the project party to pay more attention to potential environmental impacts in order to minimize negative impacts on social, economic and cultural aspects. Abstrak. Kebutuhan terhadap sarana pelayanan umum, khususnya sarana kesehatan berupa rumah sakit, terus meningkat seiring dengan pertumbuhan jumlah penduduk. Namun, pembangunan rumah sakit juga menimbulkan dampak lingkungan yang signifikan dari tahap pra-konstruksi, konstruksi, hingga operasional. Dampak ini terkait dengan biaya lingkungan, di mana hasil akhirnya tergantung pada perbandingan antara nilai cost dan benefit yang dihasilkan. Penelitian ini bertujuan untuk mengidentifikasi biaya lingkungan yang timbul dari pembangunan Rumah Sakit Salman dari aspek sosial, ekonomi, dan budaya. Metode yang digunakan dalam penelitian ini adalah analisis biaya dampak lingkungan (ABDL) serta analisis valuasi ekonomi. Hasil penelitian menunjukkan bahwa area pembangunan rumah sakit seluas 18.258 m², yang sebelumnya merupakan lahan pertanian, memiliki nilai lingkungan negatif sebesar -Rp 1.172.129.863,98. Nilai ini dianggap sebagai cost karena manfaat lingkungan yang hilang akibat pembangunan. Pada tahap konstruksi, dampak seperti penerimaan tenaga kerja dan mobilisasi alat serta material menghasilkan nilai lingkungan sebesar Rp 7.445.597.708,00. Selanjutnya, pada tahap operasional, dampak dari aktivitas rumah sakit tipe C dan pemeliharaan sarana prasarana diperkirakan mencapai Rp 2.625.334.061,28. Total dampak lingkungan dari pembangunan Rumah Sakit Salman mencapai Rp8.898.801.905,30, yang menunjukkan dampak positif bagi masyarakat. Rekomendasi diberikan kepada pihak proyek untuk lebih memperhatikan potensi dampak lingkungan guna meminimalkan dampak negatif terhadap aspek sosial, ekonomi, dan budaya.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.004
Open science0.0010.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.243
Teacher spread0.218 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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