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Record W7037264266

Desain Teknis dan Analisis Kelayakan Finansial PLTS On-Grid Sebagai Sumber Energi Listrik di Gedung Departemen Teknik Elektro Universitas Andalas

2024· dissertation· id· W7037264266 on OpenAlexaboutno aff

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2024
Typedissertation
Languageid
FieldAgricultural and Biological Sciences
TopicGenetic and Environmental Crop Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPayback periodInternal rate of returnUnit (ring theory)Investment (military)
DOInot available

Abstract

fetched live from OpenAlex

Penggunaan energi terus meningkat seiring dengan meningkatnya pertumbuhan energi, hal ini berpengaruh pada cadangan sumber energi yang semakin menipis. Diperlukan alternatif sumber energi lain untuk mengatasi peningkatan penggunaan energi, salah satu alternatif yang melimpah yaitu energi matahari yang dapat dimanfaatkan sebagai Pembangkit Listrik Tenaga Surya (PLTS). \n \nTujuan dari penelitian ini adalah untuk mengetahui apakah layak dibangun pembangkit listrik tenaga surya on-grid pada gedung departemen Teknik Elektro Universitas andalas. Desain PLTS dirancang menggunakan perhitungan dan analisis kelayakan finansial menggunakan discounted cashflow analisis(DCA) dengan 4 parameter yaitu NPV,IRR, Payback Period, dan CoE. \n \nHasil Perancangan yang diperoleh mendapatkan 2 skenario yaitu skenario A dan skenario B. Hasil perancangan PLTS skenario A menggunakan 2 unit inverter Canadian Solar CSI-50KTL dengan kapasitas 50 kW dan modul pv 555 Wp Jinko Solar JKM 555M-72HL4 sebanyak 200 unit. Dan skenario B menggunakan inverter SMA 2 unit dengan kapasitas inverter 50 kW dan modul surya merk Jinko Solar JKM555M dengan kapasitas 555 Wp sebanyak 98 unit untuk tahap 1 dan 98 unit tahap 2. Dengan total energi 3.507.557 kWh dan 2.636.165 kWh serta biaya investasi sebesar Rp. 825.396.000 dan Rp. 812.264.700. Hasil kelayakan finansial didapatkan proyek layak diwujudkan dengan metode DCA dengan parameter NPV diperoleh hasil postif, IRR sebesar 34,4159% dan 34,6376% dan Payback period pada tahun ke-4, dan CoE sebesar Rp. 294/kWh dan Rp. 367/kWh memenuhi kriteria kelayakan finansial.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.002

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 head0.010
GPT teacher head0.184
Teacher spread0.173 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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