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Bioethanol Production from Wastewater of Brown Sugar Home Industry in Kediri via Enzymatic Hydrolysis and Fermentation Soeprijanto; Afan Hamzah; Nabila Fara Anindya; Putri Selly Mudyawati
IPTEK The Journal of Engineering Vol. 7 No. 2 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v7i2.a10528

Abstract

Bioethanol is ethanol whose main ingredients are from plants and generally use a pharmaceutical process. Therefore, Indonesia still needs a more effective source of bioethanol as fuel. Bioethanol production from vegetable waste is a realistic solution, one example is waste from the brown sugar home industry. The purpose of this research is to innovate the production of bioethanol by utilizing sap sugarcane waste in a brown sugar industry home using the Enzyme Hydrolysis and Fermentation Method. The process of making bioethanol is the raw material preparation stage, the hydrolysis stage, and the fermentation stage. The first stage, the preparation of raw materials is done by filtering the molasses waste and then dissolving it with distilled water in 2000 mL Erlenmeyer. the second stage, the hydrolysis stage, is to hydrolyze the molasses solution according to the predetermined ratio variables, by going through two stages in the hydrolysis stage, namely liquefaction and saccharification. In the liquefaction process, -amylase is added at a temperature of 90oC and heated on a hot plate stirrer for 2 hours. Then the saccharification stage was carried out by adding the enzyme gluco-amylase at a temperature of 65oC for 4 hours. The third stage, the fermentation stage, was carried out with variations of bread and yeast tape with the additional variables of 5%, 10%, and 15% nutrient (2% urea and 3%). Fermentation will be carried out for 3 days. The results showed that the maximum sugar content was achieved by using a concentration ratio of sugarcane juice: water = 1:0 with an enzyme hydrolysis process of 196.08 g/L. The maximum bioethanol content after fermentation was 18.6% and reducing sugar of 10.98 g/L was achieved by using 10% baker's yeast at a concentration of sugar cane juice: water ratio = 1:1. The maximum bioethanol content after the fermentation process was 12.96% and the reducing sugar was 27.78 g/L was achieved using 10% tape yeast at a concentration ratio of sugarcane juice: water = 1:1.
Cultivation of Low-Potassium Paddy Straw Mushrooms (Volvariella volvacea) on Proline-Based Osmolyte Growing Medium to Enhance Nutritional Variety for Hyperkalemia Patients Anisa Fatma Aulia; Dika Rohman Sholeh; Baktias Fitriani; Danawati Hari Prajitno; Rizal Arifin; Afan Hamzah
IPTEK The Journal of Engineering Vol. 10 No. 3 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a22094

Abstract

The increasing variety of food choices has led to a rise in diet-related diseases, as people often prioritize taste over nutritional content. The high consumption of sodium and potassium-rich foods has contributed to a growing number of kidney disease cases. While many studies have focused on producing low-potassium foods, these often result in suboptimal growth. Mushrooms are a nutrient-rich food source, but their high potassium content makes them unsuitable for kidney disease patients. This study aims to determine the effects of different growing media compositions and osmolyte supplementation on potassium content, yield, and mycelium growth duration in low-potassium mushrooms. The cultivation was conducted using the baglog method, starting with the preparation of a growth medium composed of a combination of sengon wood sawdust, rice bran, and dried kepok banana leaves, which were sterilized before inoculating mushroom spawn and incubated in a kumbung for 35 days. Mycelium length was observed during growth, and potassium content was tested post-harvest. The results showed that proline supplementation had an effectiveness threshold, with 3% proline in composition B yielding the best hyphae development and the highest yield of 296.67 grams with the lowest potassium content. For glycerol treatment, 5% glycerol in composition A produced the highest yield and lowest potassium content, while 1% glycerol in composition B resulted in the longest hyphae growth.
Optimization of Bioethanol Production From Chlorella Vulgaris With Ca2+,Mg2+, and Zn2+ Ion Suplements Through Separated Hydrolysis and Fermentation Using Respon Surface Methodology Muhammad Fakhrudin Zukhri; Afan Hamzah; Muhamad Khoirul Anam
IPTEK The Journal of Engineering Vol. 11 No. 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i1.a22740

Abstract

Indonesia, with its wealth of natural resources, has the potential to develop bioethanol as an alternative to diminishing fossil energy sources. Third-generation bioethanol is a form of renewable energy and an environmentally friendly fuel derived from non-conventional biomass resources, particularly from microorganisms such as algae and cyanobacteria. This study focuses on optimizing the bioethanol production process from the microalga Chlorella vulgaris using the Separated Hydrolysis and Fermentation (SHF) method, with the addition of calcium ions (Ca^2+), magnesium ions (Mg^2+), and zinc ions (Zn^2+) to enhance bioethanol yield and concentration. The research procedure includes raw material pretreatment, acid hydrolysis, liquefaction, saccharification, fermentation, and distillation. The distillate samples are analyzed for bioethanol concentration using a refractometer and bioethanol density with a pycnometer. The effect of added medium components on the fermentation process is statistically analyzed using Analysis of Variance (ANOVA) in MINITAB Statistical Software and Response Surface Methodology (RSM) in DESIGN EXPERT 13. Statistical optimization of the fermentation process is performed using Central Composite Design (CCD). ANOVA analysis reveals significance with a P-Value < 0.0001 for bioethanol yield and concentration. Optimization results indicate an optimal yield of 17.087 percent with a concentration of 165.592 grams per liter, achieved with the addition of Ca^2+ at 164.755 parts per million, Mg^2+ at 146.279 parts per million, and Zn^2+ at 38.516 parts per million.