Judul: Penentun Indeks Ekstrem Hidrologi menggunakan Hasil Simulasi Model HBV (Studi Kasus: DAS Ciliwung Hulu).
Abstrak: Kajian perubahan iklim terhadap respon hidrologi sangat penting untuk dinilai karena implikasinya dapat merubah karakteristik hidrologi suatu sungai. DAS Ciliwung merupakan salah satu sungai kritis di Jawa dan sudah terkena dampak dari perubahan iklim. Hal tersebut dibuktikan dengan semakin bervariasinya debit aliran yang menyebabkan meningkatnya kejadian ekstrem hidrologi berupa bencana banjir dan kekeringan. Penelitian ini mencoba untuk menyimulasikan debit aliran menggunakan model hidrologi HBV, memproyeksikan debit aliran di masa depan dengan input model GCM CSIRO Mk.3.6.0, MIROC5 dan GFDL cm3 serta menentukan indeks ekstrem hidrologi dan perubahannya antara periode historis (2001-2015) dan periode proyeksi (2031-2045). Model GCM MIROC5 dan GFDL cm3 digunakan untuk input simulasi debit karena memiliki pola yang sama dengan data historisnya. Sebelum dilakukan simulasi debit, parameter model HBV dikalibrasi sehingga didapatkan nilai parameter yang optimum dan divalidasi. Proses tersebut didasarkan pada nilai effisiensi NSE yang mana saat kalibrasi nilainya sebesar 0.66 dan saat validasi nilainya sebesar 0.65. Artinya model HBV sudah dapat digunakan untuk simulasi debit. Debit simulasi tahun historis dan proyeksi digunakan untuk menentukan 8 indeks ekstrem hidrologi, yaitu MIN7, MIN, MAX, CMIN, CMAX, NHF, Q10 dan Q90. Indeks tersebut dihitung per periode dan ditentukan selisih indeks dan kejadian ekstrem hidrologinya. Perubahan indeks dari kedua periode cenderung menurun nilainya pada parameter indeks yang mencirikan kejadian ekstrem minimum. Sehingga memungkinkan pada periode proyeksi akan terjadi kejadian ekstrem hidrologi berupa kekeringan.
Keyword: Banjir, GCM, HBV, indeks ekstrem, kekeringan

Judul: Kuantifikasi Perubahan Curah Hujan Ekstrem dan Respon Hidrologi DAS dengan Menggunakan  Data  Proyeksi  Iklim  Beresolusi  Tinggi
Abstrak: Climate change has impacted various sectors, including water resources. The extent of the potential impact of climate change on hydrometeorological disasters has prompted a special study to manage extreme climate change, especially precipitation. Objectives of the study are to examine the reliability of high- resolution climate model outputs in representing historical and present extreme rainfall conditions and hydrological responses at watershed scale and analyses the hydrological response (flow discharge) to extreme precipitation in the future. The study used rainfall from high-resolution climate model (RCM), i.e. CORDEX (Coordinated Regional Climate Downscaling Experiment Southeast Asia) and NEX-GDDP (NASA Earth Exchange Global Daily Downscaled Projects) from three time periods, i.e. past (1981-2005), present (2006-2020), and future (2021- 2045) for Ciliwung watershed. The study applied the quantile mapping method to correct the bias of the RCM data, the hydrology response to rainfall used HEC- HMS model, and relationship between extreme streamflow causing flood with rainfall used regression model. The results of the analysis show that the corrected RCM outputs can represent the observed rain conditions quite well for most of the models, except for the ACCESS1-0 RCP8.5 model. Bias correction using the QM method can reduce the bias value of the model in historical and present periods, for both the RCP4.5 and RCP8.5 climate scenarios. The best performing models are ECEarth, CSIRO, MPI, and CNRM. Most of the models show good performance in representing extreme rainfall conditions. Furthermore, the results of the regression analysis show that extreme streamflow significantly associated with rainfall events one and two days before. Using the regression equations, it is indicated that the annual maximum discharge at the Katulampa and Depok water estimators will increase in the future according to the climate scenario RCP4.5, otherwise in the climate scenario RCP8.5. The frequency of extreme discharges is also predicted to increase in future.
Keyword: bias correction, climate change, discharge, precipitation

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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