HUBUNGAN ANTARA PEMANFAATAN INTERNET DAN PEMENUHANINFORMASI PERTANIAN OLEH PETANI KOPI DI DESA GIHAMKECAMATAN SEKINCAU KABUPATEN LAMPUNG BARAT
Bibliographic record
Abstract
Sektor pertanian merupakan salah satu pilar utama pertumbuhan ekonomi daerah Lampung. Kontribusi sektor pertanian merupakan penyumbang Produk Domestik Regional Bruto (PDRB) terbesar di Provinsi Lampung dibandingkan sektor lainnya dengan kontribusi sebesar 23,78 persen dari total PDRB pada Triwulan I-2024 (BPS Provinsi Lampung 2024). Penelitian ini bertujuan untuk menganalisis hubungan antara pemanfaatan internet dengan pemenuhan informasi pertanian oleh petani kopi di Desa Giham, Kecamatan Sekincau, Kabupaten Lampung Barat. Pemanfaatan internet menjadi kunci dalam mengakses informasi terkait budidaya, pemasaran, serta inovasi pertanian, namun belum dimaksimalkan secara menyeluruh oleh petani. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan teknik pengambilan sampel purposive. Responden dipilih berdasarkan kriteria sebagai petani kopi yang aktif menggunakan internet. Data dianalisis menggunakan statistik deskriptif dan uji korelasi Rank Spearman. Hasil penelitian menunjukkan terdapat hubungan yang signifikan antara faktor-faktor seperti tingkat pendidikan formal, kekosmopolitanan, intensitas penggunaan internet, dan persepsi terhadap pemanfaatan internet, dengan tingkat pemanfaatan internet oleh petani. Penelitian ini merekomendasikan pentingnya penguatan literasi digital dan infrastruktur teknologi informasi untuk meningkatkan efektivitas pertanian di wilayah perdesaan. Kata kunci: Pemanfaatan internet, petani kopi, informasi pertanian The agricultural sector is one of the main pillars of economic growth in the Lampung region. The contribution of the agricultural sector is the largest contributor to the Gross Regional Domestic Product (GRDP) in Lampung Province compared to other sectors, with a contribution of 23.78 percent of the total GRDP in the first quarter of 2024 (BPS Lampung Province, 2024). This study aims to analyze the relationship between internet utilization and the fulfillment of agricultural information among coffee farmers in Giham Village, Sekincau District, West Lampung Regency. Internet utilization plays a key role in accessing information related to cultivation, marketing, and agricultural innovations; however, it has not been fully optimized by farmers. This research uses a quantitative approach with a survey method and purposive sampling technique. Respondents were selected based on the criteria of being coffee farmers who actively use the internet. Data were analyzed using descriptive statistics and Spearman Rank correlation tests. The results of the study indicate a significant relationship between factors such as formal education level, cosmopolitanism, internet usage intensity, and perceptions of internet utilization, with the level of internet use among farmers. This study recommends strengthening digital literacy and information technology infrastructure to improve agricultural effectiveness in rural areas. Keywords: Internet utilization, coffee farmers, agricultural information
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.009 |
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".