Judul: Antioxidant Capacity and Inhibition of Pancreatic Lipase Results from In vitro Fractionation of Citronella (Cymbopogon Nardus)
Abstrak: Obesitas memiliki faktor risiko yang tinggi dan dapat ditangani dengan menghambat enzim lipase pankreas. Obesitas memicu stres oksidatif yang dapat dicegah dengan antioksidan oleh senyawa fenolik dan flavonoid. Serai wangi (Cymbopogon nardus) belum diketahui potensi fraksinasinya sebagai inhibitor lipase pankreas secara in vitro. Penelitian ini bertujuan mencari fraksi terbaik pada kadar fenolik dan flavonoid total serta kapasitas antioksidan dan inhibisi lipase pankreas. Serai wangi diekstraksi dengan etanol 70% lalu dilanjutkan fraksinasi bertingkat dengan pelarut n-heksan, kloroform, etil asetat, dan air lalu dihitung rendemennya. Selanjutnya diuji kadar fenolik dan flavonoid total serta kapasitas antioksidan dari metode DPPH dan FRAP, lalu diuji daya inhibisi terhadap lipase pankreas. Hasil penelitian menunjukkan bahwa kadar fenolik total tertinggi terdapat pada fraksi air, kadar flavonoid total pada fraksi kloroform, kapasitas antioksidan metode DPPH dan FRAP pada fraksi etil asetat. Penghambatan lipase pankreas baik ekstrak kasar, fraksi, ataupun orlistat tidak berbeda nyata. Perbedaan kepolaran berpengaruh pada tiap uji karena afinitas yang berbeda terhadap sifat kepolaran, Obesity has a high risk factor and can be treated by inhibiting the pancreatic lipase enzyme. Obesity triggers oxidative stress which can be prevented by antioxidants by phenolic compounds and flavonoids. Citronella (Cymbopogon nardus) has no known fractionation potential as an inhibitor of pancreatic lipase in vitro. This research aimed to find the best fraction for total phenolic and flavonoid levels as well as antioxidant capacity and pancreatic lipase inhibition. Citronella was extracted with 70% ethanol then continued with multilevel fractionation with the solvent n-hexane, chloroform, ethyl acetate and water and then the yield was calculated. Next, total phenolic and flavonoid levels were tested as well as antioxidant capacity from the DPPH and FRAP methods, then the inhibitory power against pancreatic lipase was tested. The results showed that the highest total phenolic content was in the water fraction, total flavonoid content in the chloroform fraction, antioxidant capacity of the DPPH and FRAP methods in the ethyl acetate fraction. Inhibition of pancreatic lipase, whether crude extract, fraction or orlistat, was not significantly different. Differences in polarity affect each test because of different affinities for polar properties.
Keyword: in vitro, serai wangi, lipase pankreas, obesitas

Judul: Potensi Senyawa Aktif Serai Wangi (Cymbopogon nardus) sebagai Antiobesitas melalui Penghambatan Lipase Pankreas  In Silico
Abstrak: Obesitas telah menjadi permasalahan gizi yang mendunia. Kejadian ini ditandai oleh IMT ≥ 30 kg/m2. Kandungan β-sitronelal dan β-sitronelol dalam serai wangi pada penelitian in vivo terbukti dapat menurunkan berat badan melalui peningkatan aktivitas saraf simpatik yang berdampak pada penurunan nafsu makan, namun potensinya sebagai inhibitor lipase pankreas in silico belum diketahui. Penelitian ini bertujuan menguji potensi senyawa aktif serai wangi sebagai inhibitor HPL 1LPB in silico. Metode yang digunakan yaitu preparasi protein dan ligan, validasi gridbox, penapisan virtual, visualisasi interaksi residu asam amino, serta analisis bioavailabilitas dan toksisitas. Hasil penelitian menunjukan bahwa sebanyak 26 dari 47 ligan uji hasil studi literatur dan analisis LCMS diketahui memiliki kemampuan yang baik dalam menghambat lipase pankreas (Kode: 1LPB) dibandingkan dengan MUP berdasarkan parameter energi ∆G, Kd, dan %BSS. Ligan uji apigenin-8-C-glucoside yang termasuk ke dalam golongan senyawa fenolik merupakan ligan yang memiliki penghambatan paling kuat dengan nilai ∆G -8,326 kkal/mol, Kd 0,78 µM dan %BSS sebesar 93% serta memenuhi analisis bioavailabilitas dan toksisitas. Oleh karena itu serai wangi diprediksi memiliki potensi sebagai antiobesitas melalui penghambatan lipase pankreas dan aman apabila dikembangkan menjadi kandidat obat., Obesity has been one of nutrient problems in the world. This is indicated by IMT ≥ 30 kg/m2. The component of β-citronellal and β-citronellol in serai wangi, based on this research in vivo discovered that it can reduced the weight through incresing sympathic neuron causing the reducing of apatite, yet its potency as inhibitor as pancreatic lipase in silico was not proved. The research is intended for testing the potency of active compounds of Serai Wangi as inhibitor of HPL 1PLB in silico. The method applied was protein and ligan preparation, gridbox validation, virtual screening, amino acid visualization interaction, with bioavailability and toxicity analysis. The research found that the number of 26 from 47 Ligan as the result of literature study and LCMS analysis was discovered having good ability in inhabiting pancreatic lipase (code: 1LPB) compared with MUP based on ∆G, Kd, dan %BSS parameters. Ligand of apigenin-8-C glucoside belongs to phenolic compounds as the most potential ligan in inhabiting pancreatic lipase with the value ∆G -8,326 kcal/mol, Kd 0,78 μM and % BSS up to 93% and fulfilling bioavailability and toxicity analysis. That is why serai wangi was predicted having the potency of antiobesity through inhabiting pancreatic lipase and safe for candidate medicine.
Keyword: Obesity, pancreatic lipase, serai wangi, in silico

Judul: Implementation of Spatio-Temporal Change Query in Relational Database.
Abstrak: Geographic object changes in various views. Object changes are recorded using a model of static storage. No historical connection between old version data and new version data has been built. For that, a storage model of spatio-temporal queries that can analyze spatio-temporal changes has been developed. The object changes the geometry are grouped according to the taxonomy of Spatio-Temporal Pattern Change. This research has been able to apply the query patterns change including born, expand, merge, contract, split, normal and die. This query based on geometric (area) changes. The implementation of spatio-temporal change queries represents an object changes continuously with easy, change detection is done by comparing two versions of data. Keyword: spatio-temporal change query, spatio-temporal change pattern.
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