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Pengaruh Fermentasi dan Asal Biji Kakao Terhadap Mutu Produk Olahan Kakao (Coklat Batang) Darmawan, D; Yusuf, Muhammad; Wisdawati, Eka; Poleuleng, Andi Besse; Monika, M; Ayu, Andi; Hala, Dian; Slamet, S; Zulkifli, Z; Wardani, Firda
Jurnal Galung Tropika Vol 12 No 2 (2023)
Publisher : Fakultas Pertanian, Peternakan dan Perikanan Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jgt.v12i2.1073

Abstract

The source of raw materials and the fermentation process carried out really need to be considered when processing it into chocolate bar products. This research aimed to determine the effect of seed origin and fermentation treatment on product quality and quality. The treatments in this research were cocoa beans from Soppeng Regency (South Sulawesi) and Polman Regency (West Sulawesi) with differences in fermentation time, namely 5 days and 7 days. The research results show that the raw material for cocoa beans used in making processed chocolate bars is influenced by the origin of the beans and the fermentation treatment. Visual test results showed that there was no difference in results for seeds from Soppeng and Polman. The processed product is brown in color and has a distinctive aroma because it comes from fermented cocoa beans. Testing for water content and fat content is greatly influenced by the fermentation process where a good stirring process during the fermentation process can increase the fat content and reduce the water content. Test results for metal contamination: Lead <0.0134, Cadmium <0.0013, Tin <0.0776, Mercury and Arsenic <0.0002. The results of microbial testing were TPC 1.2 x 101 and 7.0 x 101 colonies/g, Escherichia coli <3, Mold and Yeast 1.3 x 102 and 7.0 x 101 colonies/g and Salmonella was negative. The results of testing for metal contamination and microbiology show that processed cocoa products (chocolate bars) at the Politani Pangkep cocoa processing workshop are safe for consumption because they have test results below the SNI reference value.
ENGINE 5 FUEL RATIO OPTIMIZATION WITH LOAD FEEDBACK CORRECTION USING VAMPSET SOFTWARE TO REDUCE SPECIFIC GAS CONSUMPTION (SGC) AT PT PLN NUSANTARA POWER ARUN GENERATION UNIT Yusrizal, Y; Zulkifli, Z; Rihayat, R
Jurnal Sains dan Teknologi Reaksi Vol 22, No 01 (2024): JURNAL SAINS DAN TEKNOLOGI REAKSI
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jstr.v22i01.6147

Abstract

ABSTRACTFuel Ratio Optimization with 3% Load Feedback Correction to Reduce Specific Gas Consumption (SGC) at PLTMG Arun is a test in the field of power plants that focuses on optimizing the SGC Engine of PLTMG by looking for a fuel mixture composition that produces optimal efficiency of the generating engine and is safe for the reliability of the plant. In 2023, the SGC target is 8600 BTU/kWh. The highest SGC value of one of the engines in 2023 is in Engine 5 of 9327.27 BTU/kWh with an average exhaust gas temperature of 528°C, while the lowest SGC value in Engine 10 is 8,481 BTU/kWh with an average exhaust gas temperature of 532°C. The difference in exhaust gas temperature shows that there is an unused potential for heat energy in engine 5, causing a significant difference in SGC. This test aims to optimize the combustion point using a structured method calculation reference, maintain the engine exhaust gas temperature in accordance with the commissioning limits, lower the SGC and increase efficiency, then it will be obtained as a reference as the basis for changes from the AFR. For AFR tuning from the initial condition, i.e. load feedback = load output generator, it will then be converted to load feedback load output generator. The method used is to use the load feedback correction method by modifying the analog value scale of the output of the Power Monitoring Unit (PMU) from the initial condition of 4-20 mA = 0-12000 kW to the modified condition of 4-20 mA = (0-(12000+x%) kW, where this condition adjusts from the allowable combustion results according to the lean burn diagram from the manufacturer. From the implementation in October 2023, the SGC value decreased from the previous 9327.27 BTU/kWh to 9177.87 BTU/kWh. In addition, there was an increase in plant efficiency from 36.54% to 37.14, an increase in EAF from 98.34% to 98.91%, a decrease in EFOR from 1.37% to 0.09% and a decrease in GPHR from 2350,473 Kcal/KWh to 2312,673 Kcal/KWh.keyword: Engine, fuel ratio, specific gas consumption, commissioning, load feedback, efisiensi, exhaust gas temperature.