<p>This paper presents a characterization of an integrated ozone generator constructed by seven of reactors of Dielectric Barrier Discharge Plasma (DBDP). DBDP a has spiral-cylindrical configuration. Silence plasma produced ozone inside the DBDP reactor was generated by AC-HV with voltage up to 25 kV and maximum frequency of 23 kHz. As a source of ozone, dry air was pumped into the generator and controlled by valves system and a flowmeter. We found ozone concentration increased with the applied voltage, but in contrary, the concentration decreased with the flow rate of dry air. It was also found that a maximum concentration was 20 mg/L and ozone capacity of 48 g/h with an input power of 1.4 kW. Moreover, in this generator, IP efficiency of 8.13 g/kWh was obtained at input power 0.45 kW and air flow rate of 9 L/min. Therefore, be the higher ozone capacity can be produced with higher input power; however, it provided lower IP efficiency. The effect of dry air flow rate and applied voltage on ozone concentrations have been studied. At last, spiral wire copper was very corrosive done to the interaction with ozone, and it is necessary to do a research for finding the best metals as an active electrode inside of the quartz dielectric. Copyright © 2017 BCREC GROUP. All rights reserved</p><p><em>Received: 18^th July 2016; Revised: 25^th September 2016; Accepted: 5^th October 2016</em></p><p><strong>How to Cite:</strong> Nur, M., Susan, A.I., Muhlisin, Z., Arianto, F., Kinandana, A.W., Nurhasanah, I., Sumariyah, S., Wibawa, P.J., Gunawan, G., Usman, A. (2017). Evaluation of Novel Integrated Dielectric Barrier Discharge Plasma as Ozone Generator. <em>Bulletin of Chemical Reaction Engineering &amp; Catalysis</em>, 12 (1): 24-31 (doi:10.9767/bcrec.12.1.605.24-31)</p><p><strong>Permalink/DOI</strong>: http://dx.doi.org/10.9767/bcrec.12.1.605.24-31</p><p> </p>

- Pandemic COVID-19 has so far not subsided. This outbreak has spread to almost all countries in the world. As a result of this pandemic community activity and economy has decreased. The COVID-19 pandemic itself appeared in Indonesia precisely on March 2, 2020. 2 people tested positive for being infected with COVID-19 so that it was referred to as case 1 and case 2. After being detected a pandemic COVID-19 in Indonesia, Indonesia experienced an increase in cases every day positive COVID-19. The purpose of this research is to be able to obtain models in predicting the addition of COVID-19 cases in Indonesia based on time series data. In this research, the development of the Fuzzy Tsukamoto method is carried out to produce learning rate momentum which is then used in building network architecture in the Backpropagation method and produces a prediction model for adding COVID-19 cases in Indonesia. The model produced by conducting a network architecture experiment is the R-value (correlation coefficient) of 0.84278 and the prediction simulation produces an MSE of 1.632337 on the normalization data 16y=-0,7474+1,880411+e-0,5004+(1,6779)(xt)"> .Keywords -    Case COVID-19, Backpropagation Method, Tsukamoto Fuzzy Method, Prediction of COVID-19 cases. Abstrak – Pandemic COVID-19 sampai saat ini belum mereda. Wabah ini telah meluas dihampir seluruh negara didunia. Akibat dari pandemic ini aktivitas dan perekonomian masyarakat mengalami penurunan. Pandemic COVID-19 ini sendiri muncul di Indonesia tepatnya pada 2 Maret 2020. Terdapat 2 orang yang dinyatakan positif terinfeksi COVID-19 sehingga disebut sebagai kasus 1 dan kasus 2. Setelah terdeteksi adanya pandemic COVID-19 di Indonesia, setiap harinya Indonesia mengalami penambahan kasus positif COVID-19. Tujuan dilakukannya penelitian ini adalah untuk dapat memperoleh model dalam memprediksi penambahan kasus COVID-19 di Indonesia berdasarkan pada data time series. Pada penelitian ini dilakukan pengembangan terhadap metode Fuzzy Tsukamoto untuk menghasilkan learning rate momentum yang kemudian digunakan dalam membangun arsitektur jaringan pada metode Backpropagation dan menghasilkan sebuah model prediksi penambahan kasus COVID-19 di Indonesia. Model yang dihasilkan dengan melakukan 1 kali percobaan arsitektur jaringan adalah 16y=-0,7474+1,880411+e-0,5004+(1,6779)(xt)">  dengan nilai R (koefisien korelasi) sebesar 0,84278 dan simulasi prediksi menghasilkan MSE sebesar 1,632337 pada data normalisasi.Kata Kunci –    Kasus COVID-19, Metode Backpropagation, Metode Fuzzy Tsukamoto, Prediksi kasus COVID-19.

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Development of ozone technology fish storage system (OTFIS) to maintain the quality of the fish has been done. The ozone technology fish storage system (OTFIS) can be applied in the fishing boat, fish storage in the Fish Auction Market, fish storage in the means transport for fish. In this research, we produced a prototype that was integrated by the fish container and ozone generator. We used Dielectric Barrier Discharge Plasma (DBDP) technology for ozone generator. The characterization of ozone generator has been carried out and showed that ozone generator can produce ozone concentration from 0.5 ppm to 12 ppm. The ozone concentration in the area is very suitable to be used in food technology. The ozone treatment was performed on red tilapia representing the white-fleshed fish with ozone concentrations from 0.5 ppm to 4.5 ppm. The results of this treatment showed that organoleptic and TVBN of fish were still appropriate with Indonesian National Standard (INS). Beside that, TPC testing has been done on the red tilapia showed that the higher the ozone concentration the smaller the remaining of bacteria colonies. Similarly, for a variable of time, the longer the exposure to ozone the less the remaining of colonies. The results of this study have been adapted to realize of OTFIS with a size of 50 cm x 50 cm x 100 cm (250 liters) and can accommodate as much as 100 kg of fish.