bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetics of ehlers-danlos syndrome
Authors: Rosita M , Alima I R N , Auerkari E I 
Published: July 2021

Abstract
Ehlers-Danlos Syndrome (EDS) is a genetic condition characterized characterized by join hypermobility, skin hyperextension, and tissue fragility that affects the connective tissue and collagen structures in the human body. The prevalence has been reported as in 1 in 5000 births and affects equally in both sexes. EDS has no racial proportions. There are several types of EDS, that are based on the 2017 International Ehlers-Danlos Syndrome Classification. Thin and fragile mucosa, bleeding tendency, periodontal tissue injuries, and also tongue ghorlin syndrome has been reported as the intraoral manifestations in EDS. Another manifestation is hypermobile temporomandibular joint with high incidence of subluxation and dislocation. The mechanism of Ehlers-Danlos Syndrome is connected to collagen biosyhntesis, originating with nucleus transcription to aggregate collagen heterotrimers into large fibrils. Mutations have been found in collagen-encoding genes for several of these forms, or in genes encoding collagen-modifying enzymes. One of the most common type of EDS is classical EDS which is having type V collagen deficiency. This is caused by mutation in type V collagen-encoding gene, COL5A1 dan COL5A2. Type V collagen is a regulatory collagen fibril that forms the basis of the fibrils in bony, cartilaginous, fibrous, and tubular structures. The majority of mutations have been reported are nonsense mutations; splice site mutations leading to exon skips, missense mutations causing glycine substitutions, and frameshift mutation. As a clinician, the knowledge about the etiology, clinical sign, oral manifestation, and the genetic aspect of this syndrome is crucial for making correct diagnoses and proper treatment planning. In this review, the author will explain further about the genetic aspects of Ehlers-Danlos Syndrome.
Antibacterial activity of a thermophilic actinobacterium Streptomyces cellulosae SL2-2-R-9 on different growth media
Authors: Sari D C A F , Ningsih F , Yabe S , Yokota A , Oetari A , Sjamsuridzal W 
Published: July 2021

Abstract
Thermophilic Actinobacteria are known as potential producers of novel antimicrobial compounds. However, the optimum growth medium for antibacterial activity assessment of thermophilic Actinobacteria has rarely been reported. This study demonstrated the effects of nine different microbial growth media on antibacterial activity assessment of a thermophilic actinobacterium from the soil in Cisolok geysers, Sukabumi, West Java (Indonesia). The strain SL2-2-R-9 was identified as Streptomyces cellulosae based on 16S rRNA gene data (100% similarity). The antibacterial activity was examined by the agar plug diffusion method against five bacterial test strains. The result of antibacterial activity screening showed that SL2-2-R-9 grown on ISP 7 agar and Bennett’s gellan gum inhibited the growth of Bacillus subtilis, Staphylococcus aureus, and Kocuria rhizophila. Strain grown on ISP 3 gellan gum inhibited the growth of B. subtilis andS. aureus, while on 301 agar and TSA, inhibited only K. rhizophila. Strain grown on ISP 6 agar and modified Bennett’s gellan gum, inhibited onlyS. aureus. Strain grown on ISP 3 agar and SFM agar showed no inhibition zone against all tested bacteria. There was no inhibition observed against Gram-negative bacteria when the strain was grown on all media.
Open Source network boot server for low-cost computer network learning
Authors: Aryotejo G , Mufadhol M 
Published: July 2021

Abstract
Universities in developing countries must have innovative ways of educating students to anticipate higher education costs. Computer network courses require server and client computers that are not cheap in terms of hardware and software. The most vulnerable computer hardware is the Hard Disk Drive (HDD), while the very expensive operating system license cost often forces universities to keep using outdated operating systems. This study aims to build open source network boot server by using PXE, DNSMASQ, TFTP, Casper and NFS. The PXE, DNSMASQ, TFTP, Casper and NFS will work together to become Open Source Network Boot Server (OSNBS). We conducted a simulation to measure the client boot speed from the network by using five clients and two versions of the uBuntu operating system image that have the capability of being a tool for computer networking courses. In addition, the processor server and hard disk server will be further monitored and analyzed. The simulation were carried out using virtualization on a desktop computer. We found that all clients successfully booted from the network. The latest uBuntu operating system image can efficiently improve the use of server resources for the processor and hard drive. In addition, the use of open source operating systems and existing hardware have also significantly reduced IT expenditure. This finding reinforces that OSNBS is suitable for low-cost computer network learning.
Emergency Service Search using Ant Colony Optimization Algorithm and AHP-TOPSIS Method
Authors: Ibrahim M R , Suseno J E , Surarso B 
Published: July 2021

Abstract
Ant Colony Optimization (ACO) algorithm has a good ability in route search, ACO’s ability to leave traces on routes that have been traced and find the nearest route to reach the destination location, but now the nearest distance search is not only about distance problems but many things must be considered, like travel time and others, especially in emergency conditions require the fastest route to provide help when an accident, disaster, etc. AHP-TOPSIS method is used to support the ACO in finding the best route based on the criteria. The purpose of this research is to implement the ACO algorithm supported with AHP-TOPSIS to find the quickest path on the search for emergency services. ACO supported with Google Maps will provide a route from the emergency service location to the user location, that the value will be put to TOPSIS as a value to increase the decision based on the ranking. AHP is used as the basis of the priority values of each attribute such as time, distance, health facilities, and the nearest ambulance. This value will be inserted into TOPSIS as a priority value. TOPSIS provides emergency services by condition and provides the fastest emergency service route recommendations
Decision support system to provide business feasibility analysis for batik entrepreneur in Lasem
Authors: Nindyasari R , Khotimah T , Ermawati N 
Published: July 2021

Abstract
Batik Industry of Indonesia is one of the creative economies that is currently being increased. Batik is one of Indonesia’s cultural heritage that has been recognized by UNESCO, and it is interested in all levels of society. Lasem is one of the producers of Batik in Indonesia, which has coastal characteristics named Batik Tulis Lasem. Batik entrepreneurs in Lasem have a passion for developing their businesses. The main problem is when the entrepreneur does not have an information platform that can provide knowledge about business feasibility analysis. The purpose of this research is to build a decision support system that will help decision makers when developing their business. Using AHP Method, the result of this research is the criteria as a factor that influences the determination of Batik Tulis Lasem production. It states that the marketing criteria for product results are the main priority used as a determining factor. Then, it is analyzed based on the actors who play a role in product development efforts, investors, downstream industries, and financial institutions are the top priority. And it is seen based on the results of the analysis of product development goals, the main priority is to maximize profits. It is viewed based on alternative Batik products, Fabric occupies top priority.
The level of acceptance of the child growth and development information system
Authors: Agushybana F , Sadida A , Ayuningtyas N R 
Published: July 2021

Abstract
Child Growth and Development Information System (Sistem Informasi Tumbuh Kembang Anak/ SITUKA) is intended to help mothers and health officers easily and completely monitor child growth and development. This study aims to evaluate the level of acceptance of the use of SITUKA. This research method uses a quantitative approach with a cross-sectional approach. The sample in this study was taken by non-probability sampling. Respondents in this study were data managers of the health department (4 people), data managers at the puskesmas (3 people), midwives at the puskesmas (3 people), and 30 mothers who had children under five. In this study, respondents were trained and then asked to provide opinions about the application of SITUKA. To assess the system usability, the PSSUQ (Post Study System Usability Questionnaire) questionnaire was used consisting of 19 questions, consisting of items of use (sysuse), items of quality of information (infoqual), items of quality of interface (interqual) and items of overall satisfaction (overall). SITUKA features include charts, Data Register menus, Child Services, Mother Services, Child Cohort Reports, Mother Cohort Reports, Cadre Data and Posyandu Data. The results of PSSUQ measurements have been carried out to produce the following scores, namely the sysuse aspect of 75.94%, 76.7% infoqual, 70% interqual, 77.50% overall. The SITUKA system acceptance assessment results can be categorized as “Eligible” for further development and use in implementing health programs.
Decision support system for handling intervention on toddlers stunting cases in Indonesia using the certainty factor method
Authors: Sutoyo I W , Widodo A P , Rochim A F 
Published: July 2021

Abstract
Stunting is a condition of failure to thrive in children under five caused by lack of nutritional intake for a long time and the occurrence of repeated infections. The causative factor is influenced by inadequate parenting, especially in the first 1,000 days of life. This study applies a decision support system with an expert system as an intervention for handling stunting by providing solutions using the Certainty Factor method. This expert system is implemented using the PHP programming language, and the use of expert systems will be easier when implemented into web-based applications. The test results are acceleration in reducing the number of stunting cases, thus providing the right percentage and solution in handling and increasing supervision of government efforts to combat stunting. Stunting intervention research can see the results of the percentage value of sensitive and specific interventions for pregnant women, nursing mothers, and adolescent girls. Testing uses black-box validation and accuracy. The validation results are in the form of 100%, which shows the system functionality can run well and according to the list of requirements. The accuracy result is 83% which shows that the expert system can function quite well according to the Certainty Factor method.
Design data collection tool and weighting classification of authors in their scholar outputs based on percent-contribution-indicated (PCI) method
Authors: Rochim A F , Nugraha T , Widodo A P , Eridani D , Martono K T 
Published: July 2021

Abstract
The advancement of information technology development makes it researchers easier to read papers shortly after they are published online. A paper will be cited, usually within one to two years after the paper is published. The number of citations of a researcher’s papers is currently an indicator of his/her scholarly impact. The measurement widely used is the H-index. The calculation of the impact of the researcher using the H-index method does not calculate the weighted classification of the author’s position on each paper. The main author or co-authors score have the same weighted citation weighted of an article cited. The weighting of the number of citations obtained by the author has begun to get attention by Scientometricians in recent years. This is done to differentiate the value of the impact obtained by the main author and co-author. Since 2015, the Government of Indonesia has awarded a number of awards to Indonesian researchers who have the greatest impact value. Assessment of the impact value of researchers in Indonesia uses the Sinta Index version 1 (SI-1) which is based on the researcher’s H-index value in Scopus, GS, and WoS. Problems arise when a researcher with most of his papers as a co-author gets an award, while another researcher who has a position as the main author does not get the award, even though the number of papers and the number of citations obtained are relatively similar. In 2020, we found that Sinta Index was upgraded, namely Sinta Index version 2 (SI-2). There are some differences between versions 1 and 2. This paper will propose a mechanism for calculating the impact of researchers using the weighting of the investigator’s position based on the percent-contribution-indicated (PCI) method. The data source used was the Scopus database. To get and classified the source data, we developed a tool using API. For the rank of the researcher, we used data from the Sinta Index website. Collection software design created using PHP and Mysql. From the research results, it was found that the correlation test by Pearson’s Method of the H-index values of APW and Scopus is 0,44; APW vs GS (0,39) and GS vs Scopus is 0.95. This means that APW method has a weak correlation with the H-index values of GS and Scopus. APW is independent of the two h-index calculations.
Heuristic evaluation and analytical network process for analyzing the role of websites in higher education
Authors: Yani F , Nurhayati O D , Widodo A P 
Published: July 2021

Abstract
It is currently thought that university websites play important roles in maintaining communication with stakeholders. The evidence shows that the usability aspect of the website positively correlates with governance support. This paper presents a new approach to identify, assess and evaluate usability aspect base on ten Heuristic Evaluation principles by implementing the ANP method. This method works by determining the weight of the best site criteria according to Webometric version ranking. The initial questionnaire was tested for validity and reliability using total item correlation analysis, the r-value was obtained in the range 0.706-0.919 (valid) and the reliability value in the range 0.861-0.939 (reliable). It was also found that by implementing expert judgment tests, some questionnaires are required more editorial adjustment. Interestingly, the layout of the websites hit the usability criteria. Another ten HE aspects run well while some light improvements were required for error prevention, recognition rather than recall, help users recognize, diagnose, and recover from errors aspects. The most remarkable result to emerge from the data was that visibility of system status, match between system and the real world, and consistency standards shown good result.
Convolution properties of bounded analytic function classes with higher and complex order defined by q- derivatives operator
Authors: Ali E E , El-Ashwah R M 
Published: July 2021

Abstract
We first present two classes

ζ

q

n

(
α
,
η
)

and

ℑ

q

n

(
α
,
η
)

of complex order bounded q − starlike and q − convex univalent functions using the salagean q − derivative operator

D

q

n

f
(
z
)

that is defined in

∇
=
{
z
∈
C
:

|

z

|

<
1
}

. In such classes, we also analyze the convolution properties, inclusion properties, and estimates of coefficients.
Commutative symmetric element in a ring with involution
Authors: Udjiani T , Suryoto  
Published: July 2021

Abstract
This paper explains that a symmetrical element on a ring having a Moore Penrose general inverse is commutative with a Generalized Moore Penrose inverse. This is due to the properties of the involution in the ring. By using these results and the main properties of Generalized Moore Penrose invers obtained directly from definition Generalized Moore Penrose invers, several theorems that discuss the necessary and sufficient of an element in a ring that has Generalized Moore Penrose invers and also symmetric had been found.
Stability analysis of a tuberculosis epidemic model with nonlinear incidence rate and treatment effects
Authors: Qomariyah N , Sutimin  , Herdiana R , Utomo R H S , Permatasari A H 
Published: July 2021

Abstract
We present a tuberculosis epidemic model with nonlinear incidence rates. The mathematical model consists of five variables that are susceptible, exposed, infectious, and recovered. Where infectious is divided into two categories, the first is latent infectious and the second categories is MDR (Resistant). The parameters on infectious describe the level of tuberculosis’s treatments are the treatment for the prevention of epidemic tuberculosis is by chemoprohylaxis for the the exposed individuals. Whereas treatment for infected individuals uses anti-tuberculosis drug theraphy with the directly observed treatment short course strategy(DOTS). The research method uses analytical (using the MAPLE) and numerical (using the MATLAB application) analysis. The steps in the analytical analysis include making a tuberculosis disease model, determining the point of equilibrium, and analyzing stability. Meanwhile, numerical analysis is used to explain the dynamic simulation of the spread of tuberculosis and the effectiveness of the treatment. The results of this research obtained are two equilibrium points (endemic and non-endemic) with a condition of conditional stability for each point. The stability will apply if the conditions proposed are met, namely local stability at a point of non-endemic equilibrium (ε
0) is stable if ℜ0 less than 1 and endemic equilibrium point (ε
*) will be stable if ℜ0 more than 1. From the results of analytic calculations and numerical simulations, by using Ruth-Hurwitz Method ℜ0 = 0.312 at the non-endemic point and Centre Manifold method on endemic point is ℜ0 = 0.312. So it can be concluded that the treatment on the first stage is more important to protect on TB spread.
Fuzzy time series based on frequency density-based partitioning and k-means clustering for forecasting exchange rate
Authors: Mukminin U S , Irawanto B , Surarso B , Farikhin  
Published: July 2021

Abstract
Fuzzy Time Series (FTS) has been growing rapidly in recent years. There are many models that were developed. In this paper, we propose a new method to forecast exchange rate data by combining some models. Firstly, we use the average-based interval to make optimal interval numbers. Secondly, we use frequency density-based partitioning for optimal partitioning. In this part, we divide the three highest frequency of intervals into four, three, and two sub-intervals, respectively, and discarding intervals if there is no data distributed. And thirdly, we use k-means clustering to construct the Fuzzy Logical Relationship Group (FLRG). We divide Fuzzy Logical Relationship (FLR) into 16 initial clusters. Then we evaluate model by calculating the error value using MSE (Mean Squared Error) and AFER (Average Forecasting Error Rates). The study case of this paper is daily exchange rate data (USD to IDR) started from January until May with its unstable fluctuation caused by Pandemic Covid-19. The study aims to obtain a forecasting model of exchange rate data as the preparation and evaluation for future conditions.
Local stability analysis for tuberculosis epidemic model with different infection stages and treatments
Authors: Lestari N A , Sutimin  , Khabibah S , Utomo R H S , Herdiana R , Permatasari A H 
Published: July 2021

Abstract
Tuberculosis has been an endemic disease leading to high level of mortality. A model of TB epidemic incorporating the asymptomatic and symptomatic infection stages of individuals are studied and introducing treatments for these stages. The local behavior of the model is analyzed using linearization for non endemic equilibrium and using bifurcation at R0 = 1 for endemic equilibrium. Non endemic state and endemic state are proven locally asymptotically stable. Numerical simulations show the effectiveness of treatment in asymptomatic and symptomatic infection stages can reduce the rate of spread of TB.
Modification frequency density with euclid distance classify for weather forecasting
Authors: Wulandari R , Surarso B , Irawanto B , Farikhin  
Published: July 2021

Abstract
Method of weather forecasting fuzzy time series has some drawbacks, weather forecasting needs many weather components, big data size and forecaster experience, one of which is very difficult if it is worn on large data whereas weather Forecasting using time series forecast has large data characteristics, high dimensions, and continuous also require many large components and amounts of data, this affects speed and accuracy in weather forecasts, but the science develops in tandem with the development of the fuzzy Forecasting method, the fuzzy forecasting method that can be worn on large data will facilitate the weather forecasting, in this paper will be explained methods of forecasting for large data that is using the Euclid distance to classify data, then using the frequency density partitioning modification method applied to the database that has been grouped. The data used was KW Hipel Al McLeod 1994 using year variables and temperature, data from 1782 to 1988, data covers 206 global average temperature data annually. The final solution of the weather forecasting fuzzy time series problem is to analyze the value of AFER and MSE, the value of this paper is AFER 0.0021 and MSE 0.0025, the smaller the AFER and MSE values indicate that the method is good enough to forecast the weather.
System dynamic modelling for sword and white pomfret fish resources at Depok coast, Bantul
Authors: Susiloningtyas D , Tasman H , Handayani T , Aulia A 
Published: July 2021

Abstract
Depok Coast in Bantul Regency popular for fishing activities. The potential for considerable marine resources in Depok Coast is a major factor in the progress of the fisheries business. The potential of these marine resources can provide a great opportunity for the development of capture fisheries and raise the economy of coastal communities. Sword and white pomfret fish are the main commodities in capture fisheries households in Depok Coast. However, if the occurrence of continuous arrests without further study is feared to cause the end of the sword and white pomfret fish resources in the future. This study aims to determine fisheries resources especially Sword and White Pomfret in Depok coast waters, with dynamic system models up to 2030. The method used in this research is the modeling of dynamic systems, where the sub-systems of the ecological, economic and associated social and serve as a model system dynamic of sword and white pomfret fish resources. Data for the ecological sub-system is an inventory of sword and white pomfret fish and the condition of the waters of Depok Coast. Furthermore, for the economic sub-system interviews were conducted by focus group discussion for the fishermen on Depok Coast and results in quantitative form. Data for the social sub-system is the number of fishermen and the population of Depok Village. The results of this modeling shows that overfishing can reduce sword and white pomfret fish resources if it is not compensated by fish preservation.
A convergence theorem on the dunford integral
Authors: Solikhin  , Aziz A , Sumanto YD , R Heri SU 
Published: July 2021

Abstract
This article discusses the convergence theorem of the Dunford integrals. We examine the sufficient conditions so that limit of the sequence of integral value whose Dunford integrable is same as limit of functions sequence. We have obtained that to guarantee a function to be Dunford integrable and its limit of functions sequence are same as value of the functions, then a sequence of Dunford integrable function is uniform convergent or weakly convergent, weakly monoton, and its limit exist. Furthermore, its weakly convergent and bounded.