Judul: Effectiveness of Adding Samia cynthia ricini Silkworm  Cocoon Sericin to Skin Brightening Cream
Abstrak: Serisin pada kokon ulat sutra merupakan limbah cair hasil degumming yang berpotensi sebagai polutan lingkungan jika tidak dimanfaatkan dengan baik. Serisin mempunyai senyawa aktif yang dapat dimanfaatkan sebagai material kosmetik. Penelitian ini bertujuan untuk menganalisis efektivitas penambahan 5% serisin kokon S. c. ricini pada bahan krim pencerah kulit. Peubah yang diamati adalah aktivitas antioksidan serisin dan krim dengan metode penghambatan 1.1–difenil–2– pikrilhidrazil (DPPH), kestabilan fisik krim diuji dengan mengukur pH, viskositas, dan penilaian organoleptik selama 21 hari, serta indeks melanin dan tingkat iritasi kulit dengan mexameter selama 28 hari. Analisis statistik dilakukan menggunakan analisis varian satu arah (ANOVA). Hasil menunjukkan krim serisin memiliki aktivitas antioksidan tertinggi dibanding perlakuan lain (p<0,05). Secara fisik, krim serisin memiliki kestabilan >21 hari, kecuali pada viskositas (<21 hari). Krim serisin dan komersial memiliki perubahan indeks melanin yang sama, namun berbeda nyata dengan krim kontrol pada hari ke-28 (p<0,05). Ketiga krim perlakuan tidak menunjukkan efek iritasi pada kulit. Penambahan serisin 5% pada krim berpotensi sebagai krim pencerah kulit berdasarkan efektivitas dan kestabilan fisiknya.
Keyword: Cocoon, Samia cynthia ricini, serisin, sericin, silkworm, skin brightening cream, Antioxidant, physical stability

Judul: Characteristic Sericin Protein Cocoon of Eri  (Samia cynthia ricini) using Different NaOH Solvent Concentrations
Abstrak: Serisin merupakan protein globular penyusun kokon ulat sutra yang memiliki beragam manfaat di bidang pangan, kosmetik, farmasi, dan biomedis. Pada penelitian sebelumnya, rendemen serisin yang diperoleh menggunakan larutan degumming NaOH 0,1 N belum optimal. Penelitian ini bertujuan menganalisis rendemen protein, bobot molekul, dan susunan asam amino protein serisin kokon ulat sutra Eri dengan larutan degumming NaOH 0,25 N. Hasil ekstraksi protein serisin dengan larutan degumming NaOH 0,25 N menghasilkan rendemen serisin sebesar 23,6±4,1%. Hasil tersebut lebih baik dibandingkan bila menggunakan larutan degumming NaOH 0,1 N (4,8±1,5%). Bobot molekul protein serisin hasil isolasi memiliki rentang bobot molekul protein 15,68-45,70 kDa yang sesuai dengan kisaran bobot molekul serisin dari literatur. Hasil analisis HPLC menunjukan bahwa komponen asam amino utama protein serisin adalah alanina, glisina, dan tirosina., Sericin is a globular protein forming silkworm coccon that have various function in foods, cosmetics, pharmaceuticals, and biomedical industry. Previous research have used 0.1 N NaOH degumming solvent and considered not optimal in producing yields. This research purpose to analyze the protein yield, molecular weight, and amino acid composition of the Eri silkworm cocoon sericin protein using 0.25 N NaOH degumming solvent. The results of protein sericin extraction with 0,25 N NaOH degumming solvent resulted sericin yield of 23.6%±4,1. These result is better than using NaOH 0.1 N degumming solvent (4,80%±1,51). The molecular weight of isolation sericin protein is 15.68-45.70 kDa which corresponds to the range of molecular weights from the literature. The result of the HPLC analysis showed that the main amino acid components of the sericin protein is alanine, glisine, and tyrosine.
Keyword: Eri Silkworm Cocoon, NaOH, Solvent, Samia cynthia ricini, Sericin

Judul: Graphology Analysis Based on Letter a and t Using Perceptron.
Abstrak: Graphology or handwriting analysis is a method of identifying, analyzing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. A person who can analyze handwriting is called a graphologist. A graphologists can be subjective in their assesments different graphologist can have different analysis of the same handwriting. Therefore, a computer technology may help to minimize the subjectivity. This research used perceptron to analyze personality based on handwriting. Perceptron is one method of neural network. This research analyze two letters to letter a and t image. Letter a are represented by 135 images, consisting of 81 images as training data and 54 images as testing data. There are 150 images used for t images, consisting of 90 images as training data and 60 images as testing data.There are 5 experiments consisting of 2 experiments for letter a and 3 experiments for letter t. The result is the character of each class letter a and t where each parameters there are 3 classes. The accuracy of letter t and letter a was 55% and 88.89% respectively.
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