AbstrakTujuan penelitian ini untuk mengetahui bagaimana profil industri kecil carica di Kabupaten Wonosobo serta untuk mengetahui strategi pengembangan apa yang bisa digunakan. Variabel yang diteliti adalah profil industri yang meliputi sumber daya manusia, permodalan, teknologi, dan pemasaran. Metode analisis data yang digunakan adalah metode analisis deskriptif dan analisis SWOT. Berdasarkan hasil penelitian menunjukkan bahwa profil industri kecil carica di Kabupaten Wonosobo pada tahun 2014 ada 15 unit usaha. Ada beberapa prioritas strategi pengembangan yaang dilakukaan yaitu strategi SO dengan meningkatkan kualitas SDM, memanfaatkan tenaga kerja dari daerah sekitar, dan mengoptimalkan lokasi industri yang strategis. Strategi WO menyiapkan stok produk carica, mengoptimalkan produk carica, dan mengoptimalkan pelatihan dari dinas terkait. Strategi ST dengan meningkatkan kualitas ciri khas produk carica,peranan pemerintah dalam hal mengantisipasi bencana longsor di Dieng, dan melakukan inovasi produk carica. Strategi WT dengan meningkatkan kemampuan manajerial pengusaha, menaikkan harga jual produk carica, dan pada musim kemarau diganti dengan produk makanan komoditas Kabupaten Wonosobo. Berdasarkan hasil penelitian, strategi yang diterapkan dalam kondisi ini adalah mendukung kebijakan yang agresif, yaitu industri kecil carica di Kabupaten Wonosobo dapat bersaing dengan produk olahan makanan jenis lainnya dari berbagai daerah dengan cara menjaga dan meningkatkan kualitas produk carica yang dihasilkan.
Microbial fuel cell consisting two main components which are anode and cathode materials. In the microbial fuel cell, both anode and cathode compartments are separated with a separator. Anode generates the protons and electrons while cathode converts protons into water with the presence electrons and oxygen. During the Microbial fuel cell operation, the performance of anode is very crucial due to it provides the protons and electrons. Hence, the high efficiency microbial fuel cell is very related with the high anode performance. This work addressed to the enrichment process of electroactive bacteria (EAB) in anode of microbial fuel cell. In this work, some parameters such as current generations, , and pH changes were used to assess the enrichment process of EAB was reached. In addition, the presence of EAB on the anode surface was identified based on the morphology of anode surface. The removal of COD and the pH value were determined by using the American public health analysis method and pH tester, respectively. The morphology of anode surface was analysed by using a scanning electron microscope. Whereas, current generation was tested by using a mustimeter. The removal of COD and final pH were obtained 71.4 % and 5.7, respectively. The optimum current generation was observed 0.19 mA. The surface morphology of anode before enriched with microbes was clear surface, while after enriched with microbes was attached by microbes. The removal of COD, pH changes, current generation and morphology of anode surface could be used to assess the EAB in the anode compartment. Keywords: Microbial fuel cell; anode; cathode; electroactive bacteria; pH changes.
The physicochemical properties of Jatropha curcas (JC) seed oils are related to the plant varieties and affect the biodiesel quality when it is used as feedstock. This work investigates the physicochemical properties and feasibility of mutated JC seed oil for biodiesel feedstock. Three mutated JC seed oils, from JC-150, JC-226 and JC-300, were successfully evaluated. The oil contents were determined by using gravimetry methods. The AV, FFA, IV and PV were determined by using titrimetric methods. Types of fatty acids were analyzed by using a GC-FID. The triacylglycerol (TAG) and PE compositions were determined by using a HPLC-ELSD. The results show that the oil contents of JC-150, JC-226 and JC-300 seeds were 48.3%, 45.8%, and 51.7%, respectively. The PE contents in JC-150, JC-226 and JC-300 were lower (approximately 33.4%, 46.9% and 96.4%) compared to the control. The oleic and linoleic acids were two main components of all samples, with compositions in the range 41.82-42.45% and 36.68-37.45%, respectively. The compositions of polyunsaturated and monounsaturated TAG were obtained in the range 71.60-76.22% and 19.62-24.53%, respectively. These results show that the properties of mutated JC seed oils meet with the requirements for biodiesel production. JC-0 JC-150 JC-226 JC-300 Percentage of PE reduction (%) 0 20 40 60 80 100 FIGURE 3. The reduction of PE composition in the mutated jatropha oil and control.TABLE 1. Summary of physicochemical properties of the mutated JC seed oils and control. Parameter JC -0 JC-150 JC-226 JC-300 Seed moisture (%) 9.63 ± 0.06 8.30 ± 0.01 9.40 ± 0.01 8.80 ± 0.01 Oil content (%) 45.5 ± 0.1 48.3 ± 0.1 45.8 ± 0.1 51.7 ± 0.1 Oil moisture (%) 0.24 ± 0.01 0.20 ± 0.01 0.24 ± 0.01 0.23 ± 0.01 Acid value (mg KOH/g) 7.0 ± 0.2 2.5 ± 0.1 4.4 ± 0.2 2.7 ± 0.3 % FFA as oleic acid 3.5 ± 0.1 1.2 ± 0.1 2.2 ± 0.1 1.4 ± 0.1 Density (g/ml) 0.90 ± 0.01 0.89 ± 0.01 0.90 ± 0.01 0.89 ± 0.01 Viscosity (cSt) 23.9 ± 0.1 23.6 ± 0.1 24.9 ± 0.1 23.5 ± 0.1 Iodine (mg I2/g) 95.7 ± 0.1 94.2 ± 0.1 95.4 ± 0.1 94.2 ± 0.8 Saponification value (mg KOH/g) 213.7 ± 0.8 207.1 ± 3.2 208.5 ± 0.8 206.0 ±2.2 Un-saponification material (%) 0.
Bioethanol is an alternative energy source that is increasingly needed along with the depletion of petroleum stocks. Bioethanol can be produced by utilizing various wastes, including jackfruit peel and a mixture of crude cellulose enzymes from Trichoderma reesei and Aspergillus niger as well as fermentation using Saccharomyces cerevisiae and Zymomonas mobilis. This study aimed to compare the production of bioethanol using S. cerevisiae and Z. mobilis in fermented jackfruit peel with a mixture of crude cellulose enzymes from T. reesei and A. niger. The experimental design used a completely randomized design with the ratio of crude cellulase enzymes from T. reesei and A. niger as independent variables (0:0), (1:0), (0:1), (1:1), (1:2), (2:1), (1:3), and (3:1) as well as sugar and ethanol content as dependent variables. The sugar content was determined using the DNS method, while the ethanol content was determined using an alcoholmeter. Data analysis used one way ANOVA assisted by SPSS 16. The results showed that the highest sugar content (14.21 percent) was obtained in the ratio of crude cellulase enzymes T. reesei and A. niger (1:3), while the highest ethanol content (3, 16 percent) at a ratio of 1: 2 and fermented using Z. mobilis.
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