Manajemen Pendidikan Aqidah Akhlak MTs Al Munawwarah di Lingkungan Eks Lokalisasi Pekerja Sex Komersial (PSK) Desa Slarang Kecamatan Kesugihan Kabupaten Cilacap
Bibliographic record
Abstract
Examines the education management process applied at MTs Al Munawwarah Kesugihan Cilacap Regency, as an effort to improve the morals of students who come from the ex-localized Slarang Commercial Sex Worker (PSK) environment. The purpose of this study is to describe the management of MTs The Impact on Students Who Come from the Ex-Localization of Slarang Commercial Sex Workers (PSK) in the 2019/2020 Academic Year. This research was conducted with a qualitative approach. The subjects of this study were the principal, teachers, and students. Data collection techniques from this study using the method of observation, interviews, and documentation. The results of this study indicate that, 1) Learning planning by teachers is carried out by compiling annual programs, semester programs, developing learning syllabus, and developing lesson plans. 2) Organizing learning is carried out by the teacher, namely: structuring classrooms, structuring students, using learning resources, using learning media, and using facilities and infrastructure. 3) Implementation of learning is the teacher carrying out learning activities including preliminary activities, core activities, and closing activities. 4) Learning evaluation is the principal of madrasah providing guidance, assistance, supervision and assessment on problems related to the technical implementation and development of teaching education in the form of improving teaching education programs and activities to create teaching and learning situations. Meanwhile, the teacher evaluates learning through process assessment and results assessment. Process assessment is carried out on student participation both individually and in groups during the learning process. Assessment of results is carried out at the middle and end of the semester. 5) Reporting of learning outcomes that the content of reporting learning outcomes includes things such as student learning profiles at madrasah (academic, physical, social and emotional), student participation in activities at madrasah (active, moderate, insufficient or inactive), progress of results student learning during a certain learning period, appeal to parents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".