Measurement of Reading Level Index in Salatiga City
Bibliographic record
Abstract
Abstract 
 
 
 
 
 Background: Concerning the increase in reading interest in Salatiga City, a scientific study is needed, which can become the basis for a policy decision so that the index will increase. Purpose: To measure the level of interest in reading people in Salatiga in 2023 comprehensively and precisely. Method: Methods using quantitative. This research was conducted using sampling techniques and research instruments, which have been determined by the National Library of Indonesia and have become national standards. The location of the research was carried out in the city of Salatiga, and sampling was done by simple random technique. Respondents amounted to 399 people with criteria aged 10-69 years. Measurements were made using five key performance indicators, namely reading frequency per week, duration of reading per day, amount of reading material per quarter, frequency of internet access per week, and duration of internet access per day. Result: The study results show that the value of the reading enthusiasm of the people in Salatiga City in 2023 is in the High category (62.13). Conclusion: Measurement of reading level index in Salatiga City to improving community reading literacy. The index value for the level of fondness for reading from the results of the 2023 study has decreased from the 2022 measurement, which had an index of 64.08.
 
 
 
 
 Keywords: Reading Frequency; Reading Duration; Reading Preferences; Reading Activity; Literacy Culture
 
 
 
 
 Abstrak 
 
 
 
 
 Latar Belakang: Dalam kaitannya dengan peningkatan kegemaran membaca Kota Salatiga, diperlukan suatu kajian ilmiah yang dapat menjadi dasar dari suatu pengambilan kebijakan agar indeksnya semakin meningkat. Tujuan: Untuk mengukur tingkat kegemaran membaca masyarakat di Kota Salatiga tahun 2023 secara komprehensif dan tepat. Metode: Metode menggunakan kuantitatif. Penelitian ini dilakukan dengan menggunakan teknik sampling dan instrumen penelitian, yang sudah ditetapkan oleh Perpustakaan Nasional RI serta menjadi standar nasional. Lokasi penelitian dilakukan di Kota Salatiga. Pengambilan sampel dengan teknik acak sederhana. Responden berjumlah 399 orang dengan kriteria yang berusia 10-69 tahun. Pengukuran dilakukan dengan lima indikator kinerja kunci yaitu frekuensi membaca per minggu, durasi membaca per hari, jumlah bahan bacaan per triwulan, frekuensi akses internet per minggu, serta durasi akses internet per hari. Hasil: Hasil penelitian menunjukkan bahwa nilai tingkat kegemaran membaca masyarakat di Kota Salatiga tahun 2023 termasuk dalam kategori Tinggi (62,13). Kesimpulan: Pengukuran indeks tingkat gemar membaca di Kota Salatiga untuk meningkatkan literasi membaca masyarakat. Nilai indeks tingkat gemar membaca dari hasil kajian tahun 2023 ini mengalami penurunan dari pengukuran tahun 2022 yang indeksnya sebesar 64,08.
 
 
 
 
 Kata kunci: Frekuensi Membaca; Durasi Membaca; Preferensi Membaca; Aktivitas Membaca; Budaya Literasi
 
 
 
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".