Gracllaria sp. merupakan rumput laut yang memiliki nilai ekonomis tinggi karena menghasilkan agar. Agar banyak dimanfaatkan dalam bidang industri maupun pangan. Kualitas Gracilaria sp. ditentukan oleh kadar agar, pigmen serta  proksimatnya. Penelitian ini bertujuan untuk mengkaji pengaruh parameter kualitas media tumbuh Gracilaria sp. terhadap biosintesis agar, klorofil a, karoten dan kadar proksimat (protein, karbohidrat, lemak, abu, dan air). Lokasi pengambilan sampel di reservoir dan biofilter tambak udang Vaname (Litopenaeus vannamei). Kondisi lingkungan perairan yang diukur adalah kandungan nitrat dan fosfat, suhu air, salinitas, DO (oksigen terlarut), serta pH (Derajat keasaman). Ekstraksi agar dilakukan dengan metode alkali. Karakterisasi agar menggunakan analisis Fourier Transform Infra Red. Hasil penelitian menunjukkan kandungan agar (31,4 ± 0,42%) pada reservoir lebih baik dibandingkan biofilter. Begitu pula dengan konsentrasi klorofil a (19,61 ± 0,04 mg/g), karotenoid (7,42 ± 0,21 µmol/g) serta kadar protein (15,38 ± 0,27%). Kadar lemak, karbohidrat, air dan abu pada kedua lokasi tidak berbeda nyata. Hasil karakterisasi agar menujukkan keberadaan gugus galaktosa 3,6-anhydro-L-galaktosa. Gracilaria sp. is well known as to has a high economically value, due to the application of the agar content that is used in various industries especially in food industry. The quality of Gracilaria sp. depends on agar and pigment content as well as proximate analysis. This study aimed to investigate the effect of water quality parameter on Gracilaria sp habitats to agar, chlorophyl a, carotene and proximate analysis (protein, carbohydrate, total lipid, ash, water content). Samples were collected from reservoir and biofilter from Litopenaeus vannamei’s waste pond. Water quality parameter measured were nitrate and phosphate, water temperature, salinity, dissolved oxygen (DO) and pH. Agar extraction was done by alkali methods. Agar and its chemical structure were characterized by FT-IR analysis. Results showed that agar content (31.4 ± 0.42%) on reservoir was better than biofilter. Higher results from reservoir samples were also found in chlorophyl a (19.61 ± 0.04 mg/g), carotenoids (7.42 ± 0.21 µmol/g) and protein level (15.38 ± 0.27 %). On the other hand, total lipid, carbohydrate, water and ash content were similar. Based on FT-IR analysis shows that the galactose 3,6-anhydro-L-galactose was present.

Increased growth in the industrial sector textile impact on enhancement pollution environment. This thing moves producer clothes for produce clothes friendly environment. However, the behavior of buyers in product friendly environment belongs to still low. Study this check factors that cause happening gap attitude and behavior on purchase clothes friendly environment based on Attitude – Behavior – Context Theory. The variables used to predict the behavioral attitude gap were environmental knowledge, green trust, environmental attitudes, labeling satisfaction, and price sensitivity. The method used in this study is random sampling with 110 respondents distributed offline. Researcher using a reflective model on PLS-SEM. Results study show knowledge environment, trust green, attitude environment, and intention to buy have connection significant positive with behavior purchase clothes friendly environment. Sensitivity price has a significant negative relationship with the intention to buy clothes friendly environment. However, satisfaction labeling has not proven to have an effect substantial on behavior purchase clothes friendly environment

Ease of accessing the internet and information technology triggers impulsive buying behavior through increased accessibility to products and services that facilitate the buying process. Through internet facilities by browsing, consumers can feel like window shopping in a mall. This study focuses on the Java-Bali area which is a strategic location in access to products. Data were collected from 273 respondents of E-commerce users using a survey method. Structural Equation Modeling (SEM) modeling technique with SmartPLS 3.0 software. The results show that e-commerce browsing and the big five models have a significant effect on urge to purchase and impulse purchase. E-commerce usage intensity and urge to purchase have no effect on impulse purchases and the results of the mediation role test of urge to purchase have no effect on e-commerce browsing, e-commerce usage intensity, and the big five model on impulse purchases.