Telaah bibliometrik pola penyebaran pengetahuan tentang COVID-19 di dunia

The COVID-19 pandemic is a human tragedy of this century. All countries in the world are racing against time to fight the spread and deadly effects of this virus. This paper is a short meta analysis (short/rapid communications) literature review of COVID-19 / NCOV / Corona Virus in the Scopus, Dimensions, Lens, and Europe PMC database. We aim to find out the profile of publications about Corona Virus in the world, and do a short assessment using the prin-ciples of open access in knowledge distribution. The method used is literature review using commercial and non-commercial databases which are then visualized using simple spreadsheets software. The results of this study indicate that non-commercial databases also need to be used by researchers because they contain a much larger number of documents than major commercial databases. The majority of publications are peer reviewed articles in prestige journals (indicated by a high JIF). Gold OA and hybrid journals are generally chosen although the cost of publication (APC) is very expensive (up to USD 5000). The next option would be a non-OA association journal (eg: JAMA). The research itself was carried out by a small number of countries: Asia (China, Japan, India), the US, Europe (UK and Ger-many), and Saudi Arabia. When linked to the urgency of a pandemic disaster, COVID-19 research, especially those carried out in under-represented countries, needs to maximize the publicity via public repositories (Green OA route) under supervision of research commu-nities to jointly review and test the validity. Publication via journal can be done as a later step.

Metode Pemrograman Linier Biner untuk Penjadwalan Kelas Tambahan

This project discusses the methods of binary linear programming with an application of scheduling problem for students and teachers in an addi-tional class program. This topic was inspired by the the problems faced by several schools, which in preparing students for exams, often need to or-ganize additional class programs. Such a program is certainly efficient, because it can save teaching load, but is quite complicated in terms of scheduling. The desired schedule must fit the student learning times and teacher availability. Using mathematical modeling, conditions and regula-tions are expressed in the form of mathematical equations and or inequali-ties, which act as constraints. Next, formulating the problem in the stand-ard form, allow us to implement the integer linear programming tools available in Matlab. The output we obtained, were in the form of a binary matrix, directly representing the student learning schedule, as well as the teacher's teaching schedule.

Protein Domain Annotations of the SARS-CoV-2 Proteomics as a Blue-Print for Mapping the Features for Drug and Vaccine Designs

SARS-CoV-2 virus, as the causal agent for the COVID-19 pandemic, remains an enigma in the bioinformatics sense. Current efforts in drug and vaccine design in primarily targeting general devised protein domain while overlooking the specific features in the proteomics repertoire. However, the NCBI Conserved Domain Database (CDD) could annotate the specific features that are indispensable for a more advanced drug and vaccine design. In this regard, the annotation efforts were initiated with CDD database, and visualized with the 3D Protein Visualizer of Cn3D. The exsistence of the ATP and ADP binding protein with respected domains were found to be a very potential target for drug design. It is recommended that nucleoside inhibitor that could mimick the ATP molecule could serve as a potential drug lead agains SARS-CoV-2.

PEMODELAN PARAMETRIK KURVA PERTUMBUHAN EPIDEMI COVID-19 DI INDONESIA

The purpose of this study is to carry out parametric modeling of the COVID-19 epidemic growth curve so that the maximum value of the cumulative COVID-19 case and the time when it reaches that maximum point can be obtained. The data used in this study is the cumulative number of COVID-19 positive confirmed cases originating from www.covid19.go.id. The method used in this study is fitting data with the Logistic and Gompertz models. The results obtained from this study are (1) the Logistic and Gompertz mod-els are very fit in modeling the COVID-19 epidemic growth curve, indicated from the value of R2 (coefficient of determination) which reaches more than 99%, (2) From the Logistics model it is obtained that the estimated amount of the maximum cumulative case at the end of the COVID-19 epidemic is 7,714 positive confirmed cases, achieved in about 82 days (22 May 2020) from 2 March 2020 when the first positive COVID-19 case was announced by the Government. (3) From the Gompertz model, it is ob-tained that the estimated maximum cumulative case at the end of the COVID-19 epidemic is 33,975 positive confirmed cases, achieved in about 152 days (30 July 2020) from 2 March 2020 when the first positive COVID-19 case was announced by the Government. From this finding, the results of this study can be used as input to the Government to take steps in controlling the spread of COVID-19

Operon Construction Containing alsS, ilvC, ilvD and kivd Genes in Esch-erichia coli for Isobutanol Production from Glucose

Isobutanol is a biofuel considered to be a potential gasoline substitute. However, isobutanol production is difficult because there is no native organism that can produce isobutanol. A biosynthetic pathway to produce isobutanol had been designed to utilize pyruvate produced from glucose breakdown by glycolysis in Escherichia coli (E. coli). This biosynthetic pathway con-sists of acetolactate-synthase (ALS), ketol-acid reductoisomerase (KARI), dihydroxy-acid dehydratase (DHAD), alpha-ketoisovalerate decarboxylase (KDC) and alcohol dehydrogenase (ADH) enzymes. Since E. coli does not have ALS and KDC, the genes coding for the protein is needed to be cloned and overexpressed in E. coli. KARI and DHAD were overexpressed to increase the accumulation of keto acid to increase isobutanol production. Plasmid contains an operon controlled by lac pro-moter and lac operator consisting of alsS (coded ALS from Bacillus subtilis), ilvC (coded KARI from E. coli MG1655) and ilvD (coded DHAD from E. coli MG1655) genes, obtained from previous research, and operon sequences have been confirmed by DNA sequencing. kivd gene (coding KDC from Lactococcus lactis) was obtained from iGEM 2013 kit. kivd was amplified by PCR and inserted into pJET 1.2 blunt. kivd gene was then added into 3’ end of previous operon using restriction-ligation tech-nique. The plasmid constructed was then transfered into E. coli DH5α using heat shock. The recombinant genes were expressed using IPTG (isopropyl-β-D-1-thiogalactopyranoside) induction. The SDS PAGE results were inconclusive, however isobutanol was detected by Gas Chromatography Mass Spectrometry – Selected Ion Monitoring (GC-MS-SIM) from 48 hours fermenta-tion culture at 30 oC (1,17%). An operon regulated by the lac promoter-operator containing four genes for the biosynthesis of isobutanol has been constructed and cloned in E. coli. The isobutanol production was not optimal due to weak expression and repression by glucose, which was used as substrate.

E-SIBAYU: A Tele-Monitoring App for Monitoring Pregnant Mothers and Babies

During last six years, Indramayu had a high number of maternal and baby deaths. Even in 2016, Indramayu was as a third rank in number of maternal and baby deaths in West Java. The main cause of this problem was that there was no system to monitor the most causes of the maternal and baby deaths. Public health office could not plan what they should do because they did not have enough information about the real circumstance of pregnant mothers during their pregnancy. For consequence, public health office could not prepare well both the first and advance aid for the pregnant mothers who had a high risk for their health. That is why we propose a system that can provide features to monitor the progress of pregnant mothers especially in terms of four main causes involving the maternal and baby deaths happened, called E-SIBAYU. E- SIBAYU is developed for both mobile and web based. The mobile based app is used by midwifes to entry the health information of pregnant mothers, while the web-based app is used by public health officers to monitor all health information of pregnant mothers. The infor-mation is not only stored in cloud but also can be visualized in graphs and charts. E-SIBAYU has been used by public health office of Indramayu since 2017, and it has shown a positive impact on the decrease of number of maternal and baby deaths in that year. This paper presents the design and implementation of a tele-monitoring app for monitoring pregnant mother and babies called E-SIBAYU. This work is an initial work of future work to develop a wearable health device that will be able to measure the blood pressure of pregnant mothers and heart rate of babies in real-time where the future device will be possible to be mass produced to support industry of e-Health technology implementation.

Optimizing Photoperiodism, Growth Media Dilution, and Frequency of Inoculum Addition in Microalgae (Chlorella vulgaris) Culture Using Bi-oslurry (ADDMW) as Growth Media

In biogas production using dairy manure, an anaerobic digestion process also produced a by product bioslurry, also known as Anaerobically Digested Dairy Manure Wastewater (ADDMW), which is rich in ammonium and ortophosphate. ADDMW is potentially to be used as growth media to grow autotrophic organism, including microalgae. Furthermore, microalgae potential-ly could reduce organic content in ADDMW, thus play a role as phycoremediator to organic wastewater. In this study we used ADDMW medium for the growth of microalgae, determining its growth kinetics and level of reduction in ammonium and or-thophosphate content in ADDMW. In addition, we also analysed protein content in microalgae biomass for potential use as animal feed. The experiment was conducted using some variations in photoperiodism, i.e., 16:8; 12:12; and 8:16 and medium dilution factor of 2.5 and 5 times. Furthermore, frequency of inoculum addition was also examined i.e., a) 80 mL on day 0 (once); b) 26.67 mL on day 0 to 2 (first 3 days); and c) 8 mL on days 0 to 9 (every day). The results showed that 16:8 photo-period and 5 times medium dilution produced the highest biomass growth and productivity kinetics. Variation in frequency of inoculum addition showed no significant effect to a decrease in ammonium levels but indicated some effect to orthophosphate level. It can be concluded that microalgae can be grown in ADDMW media and can reduce its ammonium and ortophosphate content, as a phycoremediator, before the wastewater is dumped to the river.

Shear Wave Velocity Analysis of 2-D Multichannel Analysis of Surface Wave (MASW) to investigate subsurface Fault of Alternative Bridge Construction in Kelok Sago Jambi

Every geotechnical measurement requires geophysical methods to classify soil types under the ground. S-wave velocity (Vs), P-wave velocity (Vp), and density (ρ), are the most important parameters in the classification of soils. There are various methods to determine Vs, one of them is P-S logging method. However, this method is less suitable to be applied in urban areas due to the difficulties of data acquisition and high expense in operational costs. In 1999, a seismic method uses surface waves to de-termine Vs profile with a higher signal to noise ratio which was known by the name of Multichannel Analysis of Surface Waves (MASW). A surface wave, especially Rayleigh wave, creeps slowly on the surface with a larger amplitude than a body wave. The wavelengths of the surface wave will disperse in the layers system i.e. the phase velocity of the surface waves is now func-tion of frequency. MASW 2-D method is used in this paper to determine subsoil properties and to identify the fault under the bridge abutments plan (abutment 1 and abutment 2) in Kelok Sago Jambi.