METODE PEMBELAJARAN DAN PERSEPSI GURU TERHADAP STASIUN METEOROLOGI KLIMATOLOGI DAN GEOFISIKA SEBAGAI SUMBER BELAJAR GEOGRAFI SMA DI KOTA BANDUNG
Bibliographic record
Abstract
Sumber belajar merupakan upaya yang dilakukan secara langsung untuk kepentingan proses pengajaran. Pengajaran di luar sekolah dapat optimal jika membawa peserta didik ke luar kelas untuk melihat secara langsung objek bersangkutan, sehingga Stasiun Meteorologi Klimatologi dan Geofisika merupakan salah satu sumber belajar tetapi belum banyak dimanfaatkan dengan maksimal. Berdasarkan latar belakang tersebut, penulis tertarik untuk melakukan penelitian dengan judul “Metode Pembelajaran dan Persepsi Guru Terhadaap Stasiun Meteorologi Klimatologi Dan Geofisika Sebagai Sumber Belajar Geografi SMA di Kota Bandung”. Rumusan masalahnya adalah 1) Bagaimana metode pembelajaran yang digunakan oleh guru dalam menjelaskan materi meteorologi dan klimatologi. 2) Bagaimana pengetahuan guru tentang sumber belajar yang digunakan berkaitan dengan pokok bahasan meteorologi dan klimatologi. 3) Bagaimana persepsi guru terhadap Stasiun Meteorologi klimatologi dan Geofisika sebagai sumber belajar. \nMetode yang digunakan dalam penelitian ini adalah metode deskriptif yaitu mencari beberapa data yang terkait masalah penelitian sebagai penunjang penelitian. Populasinya meliputi seluruh guru SMA pada mata pelajaran geografi di Kota Bandung sedangkan sampelnya berbasis jarak masing-masing sekolah terhadap stasiun Meteorologi Klimatologi dan Geofisika dan cluster sekolah. Penelitian ini menggunakan varibael tunggal yaitu kebijakan sekolah dan latar belakang pendidikan guru. Untuk memperoleh data, dengan cara wawancara, kuesioner, dan dokumentasi. Teknik analisis data menggunakan analisis persentase yaitu menghitung dalam tabel kemudian dideskripsikan dan menggunakan analisis tabel silang atau crosstab yaitu untuk melihat hubungan dari variabel yang digunakan. \nBerdasarkan data yang telah diperoleh, maka hasil penelitian menunjukkan bahwa sebagian besar guru dalam menyampaikan materi ini masih menggunakan metode ceramah, diskusi, maupun penugasan kepada peserta didik. Hampir seluruhnya mengetahui Stasiun Meteorologi Klimatologi Dan Geofisika dapat dimanfaatkan sebagai sumber belajar karena memiliki alat-alat meteorologi yang lengkap. Guru geografi sepakat bahwa stasiun tersebut dapat dijadikan sumber belajar tetapi masih sebagian kecil yang memanfaatkannya. \nKata Kunci: Sumber Belajar, Stasiun Meteorologi Klimatologi dan Geofisika \nLearning resources is an effort made directly for the benefit of the teaching process. Teaching outside of school can be optimized if the carrying out of a class of students to see firsthand the object in question, so that the meteorological station climatology and geophysics is one source of learning but have not been used optimally. Based on this background, the authors are interested in doing research with the tittle “Methods Of Learning And Teachers Perceptions Of The Meteorological Station Climatology And Geophysics As A Source Of Learning Geography High School In The City Of Bandung”. The formulation of the problem are 1) How the learning methods used by teachers in explaining the material meteorology and climatology. 2) How does the teacher’s knowledge about learning resources are used in connection with the subject of meteorology and climatology. 3) How do teacher’s perceptions of the meteorological station climatology and geophysics as a learning resource. \nThe method used in this research is descriptive method that is looking for some research problems related data as supporting research. The population covers all high school teachers in the subjects in the city of Bandung, while geography and distance-based sample of each school to the stasion and school clusters. This study used single variable, namely the school policy and teachers’ educational background. To obtain the data, by means of interviews, questionnaires, and documentation. Analysis using the analysis is to calculate the percentage in the table and then described using cross-table analysis is to look at the relationship of the variables used. \nBased on the data that has been obtained, the results showed that the majority of teachers in presenting the material is still using lectures, discussions, and assignments to the students. Almost all the teachers know the meteorological station climatology and geophysics can be used as a source of learning because it has a complete meteorological instruments. Geography teachers agreed that the station could be used as a source of learning but still a small fraction who use it. \n \nKeywords: Learning Resources, Climatology and Geophysics Meteorology Station.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".