ANALISIS KEBUTUHAN AIR PADA DAERAH IRIGASI LAKBOK UTARA BENDUNG PATARUMAN KOTA BANJAR
Bibliographic record
Abstract
North Lakbok is an irrigation area which is the authority of the Citanduy River Region Center. The water source that flows into this irrigation is taken from Pataruman Dam, which covers 6,219.00 ha of irrigation land. Evaluation of the need and availability of water in the North Lakbok irrigation area is the research objective, aimed at implementing effective patterns in planting. With the aim of determining effective planting patterns. The mainstay discharge with a probability of 80% from Pataruman Dam is 132,67 /second using the NRECA method, the watershed area is 1308.11 . The Penman-Monteith approach is used to calculate water requirements using climatological data for 10 years at the irrigation area intake gate. In early November, the calculation process began based on the rice-paddy-palawija planting pattern. Using a manual calculation method that refers to the KP-01 Irrigation Planning Standard and is 2.19 lt/sec/ha in the form of maximum water requirements resulting from the Van de Goor and Zijlstra equations. The minimum water requirement is 0.13 lt/sec/ha, while the CROPWAT 8.0 Software method produces a maximum water requirement of 2.91 lt/sec/ha. Likewise, the minimum water requirement is 0.05 lt/sec/ha. Based on the calculation of the K factor and the implementation of the rice-paddy-palawija planting pattern, water availability is quite adequate, especially in September period II. There is also excess water that can be channeled to other tertiary plots or secondary channels for further use. Abstrak Lakbok Utara adalah daerah irigasi yang merupakan kewenangan dari Balai Besar Wilayah Sungai Citanduy, yang mana sebagian besar masyarakatnya berprofesi sebagai petani. Sumber air yang mengalir ke irigasi ini diambil dari Bendung Pataruman, yang mencakup lahan irigasi seluas 6.219,00 ha. Dalam rangka mengelola sumber daya air dalam sektor pertanian, pengembangan sistem irigasi menjadi pilihan yang relevan. Evaluasi terhadap kebutuhan, serta tersedianya air di daerah irigasi Lakbok Utara merupakan maksud dari penelitian, bertujuan dengan menerapkan pola efektif dalam bertanam. Dengan tujuan menentukan pola tanam yang efektif. Debit andalan dengan probabilitas 80% dari Bendung Pataruman sebesar 132,67 dengan menggunakan metode NRECA, luas DAS sebesar 1308,11 . Pendekatan Penman-Monteith digunakan untuk menghitung kebutuhan air dengan data klimatologi selama 10 tahun di pintu pengambilan daerah irigasi. Pada November awal, dimulai proses perhitungan berdasarkan pola tanam padi-padi-palawija. Menggunakan metode perhitungan manual yang merujuk pada Standar Perencanaan Irigasi KP-01 dan sebesar 2,19 lt/dt/ha berupa kebutuhan air maksimum yang dihasilkan dari persamaan Van de Goor dan Zijlstra. Kebutuhan air minimum adalah 0,13 lt/dt/ha, sementara metode Software CROPWAT 8.0 menghasilkan kebutuhan air maksimum sebesar 2,91 lt/dt/ha. Demikian pula, kebutuhan air minimum adalah 0,05 lt/dt/ha. Berdasarkan perhitungan faktor K dan penerapan pola tanam padi-padi-palawija, ketersediaan air cukup memadai, terutama pada bulan September periode II. Terdapat juga kelebihan air yang dapat dialirkan ke petak tersier lainnya atau saluran sekunder untuk pemanfaatan lebih lanjut.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".