Judul: Rainfall Prediction with Ridge Regression and LASSO Regression Based on TRMM (Case Study: Rainfall in Indramayu)
Abstrak: Curah hujan tidak mudah untuk diprediksi. Salah satu tujuan prediksi ini adalah melengkapi data hilang yang terjadi saat pengamatan. Data presipitasi dari satelit, Tropical Rainfall Measuring Mission (TRMM), digunakan untuk tujuan tersebut. Seringkali data dari titik koordinat TRMM terdekat ataupun rataan dari beberapa titik koordinat TRMM sekitarnya digunakan untuk mengisi data pengamatan yang hilang. Metode regresi LASSO dan regresi gulud digunakan untuk pendugaan data amatan curah hujan yang hilang dan bebas dari multikolinearitas. hasilnya menunjukkan bahwa nilai RMSEP pemodelan sebesar 63.110 untuk regresi gulud dan 64.307 untuk regresi LASSO. Hasil tersebut masih lebih besar daripada hasil metode regresi linier berganda dengan RMSEP pemodelan sebesar 60.511. Namun setelah menambahkan peubah boneka bulan pada metode regresi gulud dan regresi LASSO nilai RMSEP pemodelan adalah berturut-turut sebesar 57.216 dan 56.044.
Keyword: Bogor Agricultural University, Institut Pertanian Bogor, IPB, LASSO, Rainfall, Ridge regression, TRMM, Pendugaan data amatan, Data yang hilang, Data satelit

Judul: Pengembangan Model Penduga Hujan Bulanan Menggunakan Data Satelit TRMM pada Tiga Pola Hujan di Indonesia
Abstrak: Rainfall is one of the atmosphere parameters which is quite difficult to predict because of its very high variability on space and time. The recent development of rainfall observation technology nowadays is using rainfall satellite. This satellite has near real time rainfall monitoring, wide coverage and fast access. In this study, climatological analysis of rainfall pattern, statistical analysis to evaluate and validate TRMM data using selected ground stations and TRMM data, development of correction factor for TRMM data and monthly rainfall prediction using ARIMA model, have been done in three regions with different rainfall pattern. Those areas are monsoonal pattern in Lampung, East Java and Kalimantan Selatan; equatorial pattern in North Sumatera and West Kalimantan; and local pattern in Maluku. The validation analysis showed very high correlation with the gauge data for monsoonal pattern area (>0.80), high correlation for equatorial (>0.60) and local pattern area (>0.75). Each pattern area has a correction equation. In general, the error of corrected TRMM data decreased for monsoonal, equatorial and local pattern. The model of monthly rainfall prediction has been developed for corrected TRMM data with 95% level significance. The verification of model showed high coefficient correlation (r) in local pattern and monsoonal pattern, but lower on equatorial pattern.
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Judul: Karakteritsik kimia dan organoleptik tablet effervescent putih telur bersitarasa lemon dengan konsentrasi effervescent mix yang berbeda
Abstrak: Egg is an animal origin food product which has high nutritional value especially protein. Cholesterol content of eggs is only found in egg yolk, on the other hand albumen does not countain cholesterol at all but high content of protein, so it can be used as a free cholesterol-protein sources. The application of albumen as egg instant drink effervescent tablet can be an alternative of protein source for people who need free-cholesterol diet. It can also become an egg product diversification.
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