4 research outputs found
Identifikasi Tutupan Lahan Perkebunan Dan Potensi Hasil Panen Tebu Menggunakan Citra Satelit Dengan Metode Linear Spectral Unmixing (Studi Kasus: Kabupaten Ngawi)
No full textTebu (Saccharum spp) merupakan tanaman dengan kandungan sukrosa tinggi dan merupakan sumber pemenuhan kebutuhan gula terbesar di Indonesia. Kabupaten Ngawi merupakan salah satu produsen tebu terbesar di Jawa Timur dengan total lahan perkebunan sebesar 4,500 ha pada Tahun 2022. Berdasarkan data Proyeksi Neraca Gula Nasional 2017-2021 diketahui bahwa Indonesia mengalami tren peningkatan defisit gula. Oleh karena itu, pemantauan sebaran tutupan lahan perkebunan dan potensi hasil panen tebu dibutuhkan sebagai informasi dasar untuk meningkatkan potensi produktivitas tebu. Salah satu metode digunakan untuk mengidentifikasi sebaran tutupan lahan perkebunan tebu adalah linear spectral unmixing. Metode ini memanfaatkan spektral murni (endmember) tebu yang diakuisisi menggunakan spektrometer. Data hasil panen tebu dari tahun 2018 hingga tahun 2022 yang dirilis oleh BPS Kabupaten Ngawi digunakan dalam pembuatan prediksi Potensi Hasil Panen Tebu menggunakan metode regresi linear. Hasil yang diperoleh dari penelitian ini berupa peta fraksi tanaman tebu dan luasan lahan perkebunan tebu di Kabupaten Ngawi serta prediksi potensi hasil panen tebu. Dari hasil pengolahan diketahui bahwa pada tahun 2022 Kabupaten Ngawi memiliki lahan perkebunan tebu seluas 4136,560 hektar. Uji akurasi dilakukan di Desa Rejuno dengan 68 titik sampel dan diketahui overall accuracy sebesar 88,24% serta kappa accuracy sebesar 76,31%. Potensi hasil panen tebu dengan variabel tahun menghasilkan nilai korelasi pearson sebesar 0,802 sementara pada variabel luasan lahan dihasilkan nilai korelasi pearson sebesar 0,387
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Sugarcane (Saccharum spp) is a plant with high sucrose content and is the source of the most considerable sugar demand in Indonesia. Ngawi Regency is one of the largest sugarcane producers in East Java with a total plantation area of 4.500 ha in 2022. Based on the data of the National Sugar Balance Projection 2017-2021, it is known that Indonesia has experienced an increasing trend of sugar deficit. Therefore, monitoring the distribution of plantation land cover and potential sugarcane harvest is needed as essential information to increase the potential productivity of sugarcane. One of the methods used to identify the distribution of sugarcane plantation land cover is linear spectral unmixing. This method requires input in the form of pure spectral (endmember) sugarcane obtained by field data acquisition using a spectrometer. Data on sugarcane harvest from 2018 to 2022 released by BPS Ngawi Regency are used in making predictions of Sugarcane Harvest Potential using the linear regression method. The results obtained from this study are in the form of a sugarcane fraction map and sugarcane plantation area in Ngawi Regency and prediction of sugarcane harvest potential. The processing results show that in 2022 Ngawi Regency has a sugarcane plantation area of 4136.560 hectares. Field validation was carried out in Rejuno Village with 68 sample points and it was found overall accuracy at 88.24% and kappa accuracy at 76.31%. The potential for sugarcane harvest with a year variable resulted in a Pearson correlation value of 0.802 while the land area variable resulted in a Pearson correlation value of 0.38
Identifikasi Tutupan Lahan Perkebunan dan Potensi Panen Tebu Menggunakan Citra Satelit dengan Metode Linear Spectral Unmixing di Kabupaten Ngawi
Full text linkTebu (Saccharum spp) merupakan tanaman dengan kandungan sukrosa tinggi dan merupakan sumber pemenuhan kebutuhan gula terbesar di Indonesia. Kabupaten Ngawi merupakan salah satu produsen tebu terbesar di Jawa Timur dengan total lahan perkebunan sebesar 4,500 ha pada Tahun 2022. Berdasarkan data Proyeksi Neraca Gula Nasional 2017-2021 diketahui bahwa Indonesia mengalami tren peningkatan defisit gula. Oleh karena itu, pemantauan sebaran tutupan lahan perkebunan dan potensi hasil panen tebu dibutuhkan sebagai informasi dasar untuk meningkatkan potensi produk-tivitas tebu. Salah satu metode digunakan untuk mengiden-tifikasi sebaran tutupan lahan perkebunan tebu adalah linear spectral unmixing. Metode ini memanfaatkan spektral murni (endmember) tebu yang diakuisisi menggunakan spektrometer. Data hasil panen tebu dari tahun 2018 hingga tahun 2022 yang dirilis oleh BPS Kabupaten Ngawi digunakan dalam pembuatan prediksi Potensi Hasil Panen Tebu menggunakan metode regresi linier. Hasil yang diperoleh dari penelitian ini berupa peta fraksi tanaman tebu dan luasan lahan perkebunan tebu di Kabupaten Ngawi serta prediksi potensi hasil panen tebu. Dari hasil pengolahan diketahui bahwa pada tahun 2022 Kabupaten Ngawi memiliki lahan perkebunan tebu seluas 4136,560 hektar. Uji akurasi dilakukan di Desa Rejuno dengan 68 titik sampel dan diketahui overall accuracy sebesar 88,24% serta kappa accuracy sebesar 76,31%. Potensi hasil panen tebu dengan variabel tahun menghasilkan nilai korelasi pearson sebesar 0,802 sementara pada variabel luasan lahan dihasilkan nilai korelasi pearson sebesar 0,387
Defending the “Satanic Verses” : constructive engagement: British-Iranian relations and the right to freedom of expression (1989-2004)
No full textThis thesis aims to conceptualize what is often referred to in diplomacy, as a policy of “constructive engagement”, by employing neoliberal-institutionalist theories and conflict resolution approaches. The adopted “model for constructive engagement” serves as the theoretical framework and centres on the basic assumption that non-coercive diplomacy coupled with the offer of incentives is best suited at resolving conflict as well as promoting human rights in international relations. Rather than looking at determinants of foreign policy making, the thesis focuses, therefore, on the actual exercise of power and influence in international relations. As such, power, both in terms of a state’s available assets as well as seen as a form causation, is considered the crucial variable in determining diplomatic manoeuvring and negotiation behaviour. The empirical context for the research project is provided by the case of British-Iranian relations during the period from 1989 to 2004. The narrative is divided into two parts: the first one deals with the impact of the fatwa against Salman Rushdie by Ayatollah Khomeini on bilateral relations and investigates British diplomacy towards Tehran, which followed the European Union’s policy of “Critical Dialogue” with Iran. Whilst the promotion of human rights was on the agenda of the “Critical Dialogue”, findings indicate that contrary to other EU member states, most notably Germany, Whitehall was able to genuinely pursuing a policy of “constructive engagement”, demanding meaningful changes in Iranian behaviour. However, findings also show that Britain’s priority was at resolving the “Rushdie affair” and not necessarily at promoting and protecting human rights in Iran. The second part of the narrative looks at the “Comprehensive Dialogue” which was implemented by the European Union in 2000 and established a direct linkage between economic rewards and the improvements of human rights in Iran. Whilst the Iranian government and parliament met EU demands, the country’s maze of power centres, most notably those dominated by hardliners and conservatives, worked against any meaningful improvements in the protection and respect of human rights. Both narratives indicate to what extent diplomacy and negotiations were influenced by domestic constituents, referred to as the Two-Level Game, as well as by asymmetries of interdependence between the EU and Iran. Overall, the data implies that constructive engagement, whilst subject to political and economic interdependence, constitutes an effective form of human rights diplomacy
Humanity's Last Exam
No full textBenchmarks are important tools for tracking the rapid advancements in large
language model (LLM) capabilities. However, benchmarks are not keeping pace in
difficulty: LLMs now achieve over 90\% accuracy on popular benchmarks like
MMLU, limiting informed measurement of state-of-the-art LLM capabilities. In
response, we introduce Humanity's Last Exam (HLE), a multi-modal benchmark at
the frontier of human knowledge, designed to be the final closed-ended academic
benchmark of its kind with broad subject coverage. HLE consists of 2,700
questions across dozens of subjects, including mathematics, humanities, and the
natural sciences. HLE is developed globally by subject-matter experts and
consists of multiple-choice and short-answer questions suitable for automated
grading. Each question has a known solution that is unambiguous and easily
verifiable, but cannot be quickly answered via internet retrieval.
State-of-the-art LLMs demonstrate low accuracy and calibration on HLE,
highlighting a significant gap between current LLM capabilities and the expert
human frontier on closed-ended academic questions. To inform research and
policymaking upon a clear understanding of model capabilities, we publicly
release HLE at https://lastexam.ai
