Judul: Pendugaan Limpasan menggunakan Model SCS-CN di DAS Semajid, Kabupaten Pamekasan, Provinsi Jawa Timur
Abstrak: Pendugaan besaran limpasan sebagai hasil transformasi curah hujan sangat penting untuk pengelolaan sumber daya air secara efektif, pendugaan banjir, pemodelan hidrologi, perencanaan penggunaan lahan, dan adaptasi perubahan iklim. Model SCS-CN merupakan model paling sederhana untuk menduga transformasi hujan menjadi limpasan. Salah satu aspek yang sulit digeneralisasikan dalam nilai CN adalah jumlah curah hujan yang tidak langsung mengalir saat hujan terjadi, dikenal sebagai abstraksi awal (Ia). Informasi penting lain untuk menduga limpasan menggunakan metode SCS-CN adalah data jenis tanah dan tutupan lahan. Penelitian ini bertujuan untuk mendapatkan pendugaan limpasan terbaik dari penggunaan ketelitian data penggunaan lahan dan jenis tanah serta nilai abstraksi curah hujan menggunakan metode SCS-CN di DAS Semajid. Hasil penelitian menunjukkan bahwa limpasan berhubungan erat dengan kelembaban awal tanah yang mempengaruhi nilai abstraksi awal. Nilai abstraksi 0,05S merupakan nilai yang paling sesuai. Selain nilai abstraksi awal, ketelitian data atau skala juga berpengaruh terhadap tingkat akurasi model. Data dengan tingkat ketelitian lebih rendah yaitu data jenis tanah dari FAO dan data tutupan lahan dari KLHK memperoleh tingkat akurasi yang lebih baik., Estimating the magnitude of runoff as a result of rainfall transformation is crucial for effective water resource management, flood estimation, hydrological modeling, land use planning, and climate change adaptation. The SCS-CN model is the simplest model for estimating the transformation of rainfall into runoff. One aspect that is difficult to generalize in the CN values is the amount of rainfall that does not directly contribute to runoff during rainfall events, known as initial abstraction (Ia). Other important information for estimating runoff using the SCS-CN method includes data on soil type and land cover. This study aims to obtain the best estimation of runoff by utilizing accurate data on land use, soil type, and the value of initial abstraction using the SCS-CN method in the Semajid Watershed. The research results indicate that runoff is closely related to the initial soil moisture, which affects the initial abstraction value. The value of 0.05S is the most appropriate value for abstraction. In addition to the initial abstraction value, data accuracy or scale also influences the accuracy level of the model. Data with lower accuracy, such as soil type data from FAO and land cover data from KLHK, achieved better accuracy levels.
Keyword: Akurasi model, Abstraksi awal, Ketelitian data, Limpasan, SCS-CN

Judul: Pendugaan Debit Puncak Menggunakan Model Rasional dan SCSCN (Soil Conservation Service-Curve Number); Studi Kasus di Sub-sub DAS Keyang, Slahung, dan Tempuran; Sub DAS Kali Madiun, DAS Solo
Abstrak: Flooding can occur as a result of an increase in the amount and velocity of run-off exceeds the capacity of drainage channels. In addition, floods can occur as a result when drainage channel capacity is reduced, so the amount and velocity of run-off exceeds the capacity whendrainage channels. The decreasing of dranaige channel capacity can occur because of the superficiality of the river due to sedimentation from erosion in the upstream, blockage by garbage or constriction by the accumulation in water bodies. The increasing of amount and velocity of run-off caused by extreme rainfall and changes in land us that causes land clearing and soil compaction. The amount and velocity of run-off that causes the maximum peak discharge (Qp) is important to be known, because it has potential to cause flooding. Peak discharge as important information fordesign of flood control is generally estimated by using the rational model and model of Soil Conervation Service-Curve Number (SCS-CN). To know the validity of both models by using available data in Sub-sub Watershed of Keyang, Slahung and Tampuran (KST), the models are tested by comparing the esimated and obsered Qp. Estimated Qp by using rational model with the peak discharge data in 2009 (39.10 mm precipitation) is 30.82% greater than observed Qp, while the result by using SCS-CN model is 113.87% greater. Estimted Qp by using rational model with maximum rainfall data in 2009 (45.97 mm) is 4,074.74% greater than observed Qp, while the result by using SCS-CN model is 18.06% smaller than observed Qp. The coefficient run-off that calculated by using the rational model is greater (0.375) than calculation by direct observational data (0.34).
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Judul: Performa kecoa madagaskar (Gromphadorhina portentosa) pada tipe tempat sembunyi yang berbeda
Abstrak: Madagascar cockroaches come from Madagascar Island in the southest of Africa Beach. This cockroaches is a giant cockroaches in the world and as big as a giant beetle that called as "giant cockroaches". Madagascar cockroaches is a giant cockroaches and have a different character with another cockroaches, that is big size and types that it make it looks like beetle, fizz, doesn't bite, doesn't have wings and outdorless so that these cockroaches harmless for human and can be keep as pets that quite popular all over the world because of it's unique.
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