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Pengembangan Modul Praktikum Fisika Untuk Teknik Mesin

2018· article· en· W2935691199 on OpenAlexaff
Haris Mahmudi, Ah. Sulhan Fauzi

Bibliographic record

VenueWACANA DIDAKTIKA · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSTEM Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPracticumReadabilityComputer sciencePresentation (obstetrics)Mathematics educationMathematicsProgramming language

Abstract

fetched live from OpenAlex

Most of the students of the Mechanical Engineering Study Program at the University of Nusantara PGRI Kediri assume that basic physics is a course with memorizing many formulas so that they have difficulty understanding the concept of physics. This study aims to develop a Physics practicum module for Mechanical Engineering and to know the feasibility value of the module. This study uses the development research method (RnD) of the Plomp model which consists of 3 stages, namely: The first stage of the initial investigation, the Second Stage of the preparation of the prototype, and the third stage of the assessment. From the results of the validation and analysis of the readability test, the average value of the feasibility of the Basic Physics module based on problem solving is 3.22 with feasible criteria, and the feasibility assessment for presentation is 3.55 with the appropriate criteria. So that overall the feasibility assessment of the Basic Physics module is problem solving based on 3.39 with a decent criteria. While the results of student satisfaction data analysis on the use of the Basic Physics module based on problem solving obtained 83% stated very well and the remaining 17% stated good. The product of the development is in the form of a basic Physics practicum module for Mechanical Engineering. From the data analysis it can be concluded that the feasibility assessment of the overall development module is feasible to develop. Keywords: module, research development, problem solving, satisfaction questionnaire. Abstrak Sebagian besar mahasiswa Program Studi Tehnik Mesin Universitas Nusantara PGRI Kediri beranggapan bahwa fisika dasar merupakan mata kuliah dengan hafalan rumus yang banyak sehingga mereka kesulitan untuk memahami konsep fisika tersebut. Penelitian ini bertujuan untuk mengembangkan modul praktikum Fisika untuk Teknik Mesin dan mengetahui nilai kelayakan modul tersebut. Penelitian ini menggunakan metode penelitian pengembangan (RnD) model Plomp yang terdiri dari 3 tahap, yaitu: Tahap pertama investigasi awal, Tahap Kedua penyusunan prototipe, dan Tahap ketiga assesment. Dari hasil validasi dan analisis uji keterbacaan diperoleh nilai rata-rata kelayakan isi modul Fisika Dasar berbasis problem solving sebesar 3.22 dengan kriteria layak, dan penilaian kelayakan penyajian sebesar 3,55 dengan kriteria layak. Sehingga secara keseluruhan penilaian kelayakan modul Fisika Dasar berbasis problem solving sebesar 3,39 dengan kriteria layak. Sedangkan hasil analisis data kepuasan mahasiswa terhadap penggunaan modul Fisika Dasar berbasis problem solving diperoleh 83% menyatakan sangat baik dan sisanya sebesar 17% menyatakan baik. Produk hasil pengembangan adalah berupa modul praktikum Fisika dasar untuk Teknik Mesin. Dari analisis data maka dapat disimpulkan bahwa penilaian kelayakan modul hasil pengembangan secara keseluruhan layak untuk dikembangkan.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.005

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 head0.027
GPT teacher head0.345
Teacher spread0.318 · 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 designNot applicable
Domainnot available
GenreMethods

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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Citations1
Published2018
Admission routes1
Has abstractyes

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