System Analysis of Dengue Virus Surveillance in BBTKL PP Surabaya Year 2012–2014

Changing the distribution of dengue virus serotypes has occurred in Indonesia. This condition should be monitored continuously through the Dengue Virus Surveillance. Implementation of Dengue Virus Surveillance also conducted by BBTKL PP Surabaya. The purpose of this study was to determine the workflow, identify problems, set priority problem, find the cause of the problem, and provide the alternative solution related to problems of Dengue Virus Surveillance in BBTKL PP Surabaya. This is a operational research and the informants are officers of Dengue Virus Surveillance in BBTKL PP Surabaya. Data in this study was analyzed descriptive and presented narrative. Results showed that the workflow of Dengue Virus Surveillance in BBTKL PP Surabaya are collecting of patient\u27s blood and vector specimen, vector survey and collecting the supporting data, Rapid Diagnostic Test (RDT) and Polymerase Chain Reaction (PCR), processing and data analysis, and dissemination the information. The main problems of Dengue Virus Surveillance in BBTKL PP Surabaya is the low quality of the information. Tree problem analysis showed that the cause of problem that can be intervene are incomplete supporting data and data storage. Alternative solution related to problems of Dengue Virus Surveillance in BBTKL PP Surabaya is use of Epi Info

Understanding the Community Interest of Breast Cancer in Indonesia: a Digital Epidemiology Study Using Google Trends

Indonesia was among the five countries with the highest number of breast cancer in Asia. In 2018, breast cancer was ranked for the first highest incidence among all cancers diagnosed in Indonesia. Although preventable, breast cancer is mostly diagnosed in advanced stages and causes leading death among females. Given the increasing growth of online information seeking behavior, adequate cancer health promotion through virtual setting is needed to tackle the massive increasing burden of breast cancer. Therefore, this study aims to explore the community interest in breast cancer using Google Trends in Indonesia. A 3 years (2015 to 2017) information searches for breast cancer from Google were retrieved in Indonesian language. Data were downloaded at national and sub-region level to examine the pattern and distribution of queries. Sporadic traces of information searches related to breast cancer from Google Trends presented the pattern and distribution of queries. Massive search happened in July 2015 and June 2017 following the died of Indonesian celebrity who suffered from breast cancer. Considering the high influence of celebrities, many studies reveal that celebrity can attract the public attention to health messages and increase the agreement of vaccination and screening for cancer. Thereby, celebrities’ involvement and availability of qualified breast cancer online information should be increased to win the breast cancer health promotion program in the digital era. Online information related to breast cancer could be disseminated through targeted risk population using Mobile JKN that has been downloaded by 3 million members. In brief, Google Trends could be potentially used as a novel tool to measure the dynamics of community interest in breast cancer in Indonesia. Therefore, adequate cancer health promotion through a virtual setting is the key to tackling the massive increasing burden of breast cancer in the digital era

Google Trends Data on Dengue (Indonesia)

Digital traces are rapidly used for health monitoring purposes in recent years. This approach is growing as the consequence of increased use of mobile phone, Internet, and machine learning. Many studies reported the use of Google Trends data as a potential data source to assist traditional surveillance systems. The rise of Internet penetration (54.7%) and the huge utilization of Google (98%) indicate the potential use of Google Trends in Indonesia. Since no previous study exists on validating official dengue reports and Google Trends data in Indonesia and comparing them over time, this study aimed to cover this gap. This research was a quantitative study using time series data (2012-2016). Two sets of data were validated using Moving Average analysis in Microsoft Excel. Pearson and Time lag correlations were also used to measure the association between those data. Moving Average analysis showed that Google Trends data have a linear time series pattern with official dengue report. Pearson correlation indicated high correlation for 3 defined search terms with R-value range from 0.921 to 0.937 (p≤0.05, overall period) which showed increasing trend in epidemic periods (2015-2016). Time lag correlation also indicated that Google Trends data can potentially be used for an early warning system and novel tool to monitor public reaction before the increase of dengue cases and during the outbreak. Google Trends data have a linear time series pattern and statistically correlated with annual official dengue reports. Identification of information seeking behavior is needed to support the use of Google Trends for disease surveillance in Indonesia

Design of Mazzilli's Zero Voltage Switching (ZVS) Circuit as Plasma Glow Discharge Generator

Purification water has several methods; one of them is the plasma generation. The circuit used to generate plasma is Zero Voltage Switching (ZVS), where its use uses the resonance circuit concept. The main category to generate plasma glow discharge is the circuit should generate high voltage output with a current range from 10-6 A to 1 A. In this study, when ZVS connected to the flyback converter with an input voltage of 12 V, the output values of 11 kV and 11 μA were obtained. In comparison, if ZVS was not connected to the flyback converter, the circuit is less stable, and the output value is weak because the output values only reach 8.97 kV and 8.97 μA. For maximum output, the ZVS circuit should be connected to the converter circuit due to the flyback converter can repair and strengthen the voltage. The flyback converter circuit is affected by the diode and capacitance effects. The effect of using capacitors in a flyback converter circuit is when the capacitance is too low, the ripple will form. Then when capacitance reaches a specific value, the ripple will decrease, and the voltage graph will approach a straight line. Hence the use of components in the ZVS and the flyback converter need to be considered because it affects how the release of plasma glow discharge will form

Interconnection Study of A 3 MWp Solar Farm on 20 KV Distribution System Considering Power Flow and Short Circuit

Currently, renewable energy is under review so that its use can be more widespread in the future. One of the renewable energy sources that are commonly used is solar energy through solar cell technology that can convert solar energy into electrical energy and then becomes one of the components that makes up the solar power plant. The use of the solar power plant can be interconnected with distribution networks in electric power systems, both medium-voltage networks and low voltage networks. In this study, a 3 MWp capacity of solar power plant was conducted with the medium-voltage network system of X City. This interconnection study consisted of power flow and short circuit studies using ETAP 12.6.0 software. The results of the power flow study show the voltage level of each bus has increased by 0.293%-0.926% after interconnection with the solar power plant system, with a value that still matches the SPLN 1:1978 standard of 90% to 105%. Besides, the results of short circuit study show the value of the three-phase short circuit fault current experienced a change in value that is not too significant, with an increase of 1-37 A and a decrease of 1-5 A, with a value that is still according to the protection component rating standard of 25 kA