{"title":"Aplikasi Metode Spektrofotometri pada Klasifikasi Gas Karbon Monoksida (CO) dan Uap Bahan Bakar Petrodiesel (C14H30)","authors":"Happy Nugroho, Edhi Sarwono, Aditya Rinaldi","doi":"10.30872/ppj.v1i1.559","DOIUrl":"https://doi.org/10.30872/ppj.v1i1.559","url":null,"abstract":"Gas classification techniques are often found in several applied fields such as, detection of leak gas in gas cylinders, monitoring the threshold of harmful pollutant gases in the air, health diagnostics, early detection of fire hazards, and others. This requires measurement techniques that are adaptive and robust that can dynamically capture information on changes in vapor or gas compounds contained in free air. This research has been conducted to analyze and identify the types of gas compounds, namely CO and petrodiesel fuel vapor (C14H30). The design of this tool uses the principle of spectrophotometry and the calculation of Backprogation Neural Networks. The working principle is that light radiation in the Light Emitting Diode (LED) series, which has a wavelength range of 385nm to 1720nm, is absorbed to penetrate CO gas or petrodiesel fuel vapor (C14H30) that you want to identify. Light radiation that has passed through the gas / vapor compound was captured by the photodiode sensor. The emission of LED series light radiation produces different wavelength absorption patterns that will be processed by the Backprogation Neural network as an input signal in the identification and learning process. The results of this experiment show the success rate of the Backpropagation neural network in identifying the type of CO gas and petrodiesel fuel vapor (C14H30) is 80%. \u0000 ","PeriodicalId":221598,"journal":{"name":"Progressive Physics Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126574879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penentuan Nilai Faktor Mesin Pesawat Sinar-X Radiografi Digital Merek Shimadzu di RSUD Dr. Kanujoso Djatiwibowo Balikpapan","authors":"Mamba'ul Fitriyana, S. Muliyono, Kadek Subagiada","doi":"10.30872/ppj.v1i1.563","DOIUrl":"https://doi.org/10.30872/ppj.v1i1.563","url":null,"abstract":"The research on the determining machine factor (k) of Shimadzu digital radiograph X-ray machine have been done at the RSUD Dr. Kanujoso Djatiwibowo Balikpapan. Machine factor should be required in the calculation of radiation exposure which produced by the X-ray machine. Measurement data that have been used as independent variables were current-time, focus distance to the detector and tube voltage variations of 80 kV to 100 kV, while the dependent variable was the S value. Determination of the k value was conducted by weighted linear regression between V2 and using the results of research by Seibert and Morin (2011) for the condition of calibrated X-ray machine. Thus, the reseach has obtained the machine factor of the Shimadzu digital radiograph X-ray machine at the RSUD Dr. Kanujoso Djatiwibowo Balikpapan.","PeriodicalId":221598,"journal":{"name":"Progressive Physics Journal","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Jaya, H. Sutanto, E. Hidayanto, Galih Puspa Saraswati
{"title":"Studi Penggunaan Bolus Berbahan Silicone Rubber terhadap Dosis Permukaan pada Radioterapi Berkas Elektron","authors":"G. Jaya, H. Sutanto, E. Hidayanto, Galih Puspa Saraswati","doi":"10.30872/ppj.v1i1.561","DOIUrl":"https://doi.org/10.30872/ppj.v1i1.561","url":null,"abstract":"Radiotherapy is a method of externally cancer therapy using a Linear Accelerator (LINAC) tool. LINAC can produce photon and electron beam energy which will be used to treat cancer according to the position of the cancer in the patient's body. When using an electron beam to treat cancer on the surface of the skin, it is found that there is a lack of a radiation dose. The use of bolus with Silicone Rubber (SR) material is a solution to provide an increase in radiation doses in the surface area of the skin. In this study SR boluses were made using the sol-gel method with dimensions of 17 cm x 17 cm x 1 cm. The SR Bolus was illuminated with an applicator field area of 10 cm x 10 cm and energy variations of 5 MeV and 7 MeV. The surface dose produced at the moment without using a bolus for 5 MeV and 7 MeV energy is 1.60 Gy and 1.61 Gy. When using bolus, the surface dose of 5 MeV and 7 MeV energy is 2.12 Gy and 2.06 Gy. From the results of this study it can be concluded that the use of SR bolus can increase a higher surface dose without using bolus.","PeriodicalId":221598,"journal":{"name":"Progressive Physics Journal","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121783183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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