The main weakness in shrimp marketing is the perishable food nature of shrimp. Generally, people identify the freshness of shrimp by direct observation. However, it will be difficult to detect the freshness of shrimp if it is marketed in a closed container. In this study, a label indicator of purple sweet potato will be made to detect the freshness of shrimp. The increase in the efficiency of indicator readings is carried out using a neural network algorithm. The results of the sensitivity test showed that the label indicator of purple sweet potato extract was sensitive to the presence of ammonia.Through a comparison between the storage time of shrimp and the organoleptic quality of shrimp, it is known that the quality of shrimp is divided into four classes, namely: (i) "Very fresh" marked with a solid red color (ii) "Fresh marked with a deep blue color (iii) "not fresh marked with a dark red color. gray and (iv) “very unrefreshing marked with a faded brown color. Through label indicator image classification using a neural network algorithm, from 73 training data obtained an accuracy rate of 95.89% and a precision of 92%.
The increase in the amount of palm oil production impacts increasing the total liquid waste from the processing of palm oil. Palm oil mill effluent (POME) has high chemical oxygen demand (COD) and biochemical oxygen demand (BOD) parameters that can cause environmental pollution. This study processed POME using the Fenton mechanism using reagents derived from scrap iron. The Fenton mechanism is one of the advanced oxidation process technology (AOPs) in wastewater treatment. To improve the performance of the Fenton mechanism, the researchers integrated it with UV-rays in the photo-Fenton mechanism scheme. Fenton and photo-Fenton processes effectively reduce the pH, BOD, and COD of POME. The COD removal efficiency was 99.91%, while the BOD removal efficiency was 99.93%. The more FeSO4 added to the wastewater, the more significant the reduction of BOD and COD in the Fenton and photo-Fenton processes. Also, photo-Fenton is more effective than the Fenton process to reduce BOD and COD in the POME.Keywords: POME; Fenton; Photo-Fenton; Scrap ironABSTRAKPemanfaatan Besi Bekas untuk Pengolahan Limbah Cair Industri Kelapa Sawit Melalui Proses Fenton dan Foto-FentonMeningkatnya jumlah produksi kelapa sawit, berdampak pada peningkatan total limbah cair dari hasil pengolahan kelapa sawit. Limbah cair industri kelapa sawit atau Palm Oil Mill Effluent (POME) memiliki nilai parameter chemical oxygen demand (COD) dan biochemical oxygen demand (BOD) yang tinggi sehingga dapat menyebabkan pencemaran lingkungan. Di dalam penelitian ini, dilakukan pengolahan POME menggunakan mekanisme Fenton menggunakan reagen yang berasal dari besi bekas. Mekanisme Fenton adalah salah satu pengembangan dari teknologi proses oksidasi maju (AOPs) dalam pengolahan air limbah. Untuk meningkatkan performa dari mekanisme Fenton, peneliti mengintegrasikan system tersebut dengan sinar-UV dalam skema mekanisme foto-Fenton. Proses Fenton dan foto-Fenton sangat efektif dalam menurunkan pH, BOD dan COD dari POME. Efisiensi penyisihan COD mencapai 99,91%, sedangkan efisiensi penyisihan BOD mencapai 99,93%. Semakin banyak FeSO4 yang ditambahkan ke dalam air limbah maka semakin besar reduksi BOD dan COD dalam proses Fenton dan foto-Fenton. Selain itu, foto-Fenton lebih efektif dibandingkan dengan proses Fenton dalam mereduksi BOD dan COD dalam POMEKata kunci : POME; Fenton; foto-Fenton; besi bekas
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